Can Gmail connect with Google Sheets?

Yes, Gmail can connect with Google Sheets using n8n.io. With n8n, you can create workflows that automate tasks and transfer data between Gmail and Google Sheets. Configure nodes for Gmail and Google Sheets in the n8n interface, specifying actions and triggers to set up their connection.

Can I use Gmail’s API with n8n?

Yes, with n8n, you can programmatically interact with Gmail’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Can I use Google Sheets’s API with n8n?

Yes, with n8n, you can programmatically interact with Google Sheets’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Is n8n secure for integrating Gmail and Google Sheets?

Yes, it is safe to use n8n to integrate Gmail and Google Sheets. n8n offers various features to ensure the safe handling of your data. These include encrypted data transfers, secure credential storage, RBAC functionality, and compliance with industry-standard security practices (SOC2 compliant). For hosted plans, data is stored within the EU on servers located in Frankfurt, Germany. You can also host it on your own infrastructure for added control. Learn more about n8n’s security practices here.

How to get started with Gmail and Google Sheets integration in n8n.io?

To start integrating Gmail and Google Sheets in n8n, you have different options depending on how you intend to use it: n8n Cloud: hosted solution, no need to install anything. Self-host: recommended method for full-control or customized use cases. Unlike other platforms that charge per operation, step, or task, n8n charges only for full workflow executions. This approach guarantees predictable costs and scalability, no matter the complexity or volume of your workflows.

Gmail and Google Sheets: Automate Workflows with n8n

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Create & Upload AI-Generated ASMR YouTube Shorts with Seedance, Fal AI, and GPT-4

//ASMR AI Workflow Who is this for? Content Creators, YouTube Automation Enthusiasts, and AI Hobbyists looking to autonomously generate and publish unique, satisfying ASMR-style YouTube Shorts without manual effort. What problem does this solve? This workflow solves the creative bottleneck and time-consuming nature of daily content creation. It fully automates the entire production pipeline, from brainstorming trendy ideas to publishing a finished video, turning your n8n instance into a 24/7 content factory. What this workflow does Two-Stage AI Ideation & Planning: Uses an initial AI agent to brainstorm a short, viral ASMR concept based on current trends. A second "Planning" AI agent then takes this concept and expands it into a detailed, structured production plan, complete with a viral-optimized caption, hashtags, and descriptions for the environment and sound. Multi-Modal Asset Generation: Video:* Feeds detailed scene prompts to the ByteDance Seedance* text-to-video model (via Wavespeed AI) to generate high-quality video clips. Audio:* Simultaneously calls the Fal AI* text-to-audio model to create custom, soothing ASMR sound effects that match the video's theme. Assembly:** Automatically sequences the video clips and sound into a single, cohesive final video file using an FFMPEG API call. Closed-Loop Publishing & Logging: Logging:** Initially logs the new idea to a Google Sheet with a status of "In Progress". Publishing:** Automatically uploads the final, assembled video directly to your YouTube channel, setting the title and description from the AI's plan. Updating:** Finds the original row in the Google Sheet and updates its status to "Done", adding a direct link to the newly published YouTube video. Notifications:** Sends real-time alerts to Telegram and/or Gmail with the video title and link, confirming the successful publication. Setup Credentials: You will need to create credentials in your n8n instance for the following services: OpenAI API Wavespeed AI API (for Seedance) Fal AI API Google OAuth Credential (enable YouTube Data API v3 and Google Sheets API in your Google Cloud Project) Telegram Bot Credential (Optional) Gmail OAuth Credential Configuration: This is an advanced workflow. The initial setup should take approximately 15-20 minutes. Google Sheet:* Create a Google Sheet with these columns: idea, caption, production_status, youtube_url. Add the Sheet ID* to the Google Sheets nodes in the workflow. Node Configuration:** In the Telegram Notification node, enter your own Chat ID. In the Gmail Notification node, update the recipient email address. Activate:** Once configured, save and set the workflow to "Active" to let it run on its schedule. How to customize Creative Direction:* To change the style or theme of the videos (e.g., from kinetic sand to soap cutting), simply edit the systemMessage in the "2. Enrich Idea into Plan" and "Prompts AI Agent"* nodes. Initial Ideas:* To influence the AI's starting concepts, modify the prompt in the "1. Generate Trendy Idea"* node. Video & Sound:* To change the video duration or sound style, adjust the parameters in the "Create Clips" and "Create Sounds"* nodes. Notifications:* Add or remove notification channels (like Slack or Discord) after the "Upload to YouTube"* node.

Automated Job Applications & Status Tracking with LinkedIn, Indeed & Google Sheets

Apply to jobs automatically from Google Sheets with status tracking Who's it for Job seekers who want to streamline their application process, save time on repetitive tasks, and never miss following up on applications. Perfect for anyone managing multiple job applications across different platforms. What it does This workflow automatically applies to jobs from a Google Sheet, tracks application status, and keeps you updated with notifications. It handles the entire application lifecycle from submission to status monitoring. Key features: Reads job listings from Google Sheets with filtering by priority and status Automatically applies to jobs on LinkedIn, Indeed, and other platforms Updates application status in real-time Checks application status every 2 days and notifies you of changes Sends email notifications for successful applications and status updates Prevents duplicate applications and manages rate limiting How it works The workflow runs on two main schedules: Daily Application Process (9 AM, weekdays): Reads your job list from Google Sheets Filters for jobs marked as "Not Applied" with Medium/High priority Processes each job individually to prevent rate limiting Applies to jobs using platform-specific APIs (LinkedIn, Indeed, etc.) Updates the sheet with application status and reference ID Sends confirmation email for each application Status Monitoring (Every 2 days at 10 AM): Checks all jobs with "Applied" status Queries job platforms for application status updates Updates the sheet if status has changed Sends notification emails for status changes (interviews, rejections, etc.) Requirements Google account with Google Sheets access Gmail account for notifications Resume stored online (Google Drive, Dropbox, etc.) API access to job platforms (LinkedIn, Indeed) - optional for basic version n8n instance (self-hosted or cloud) How to set up Step 1: Create Your Job Tracking Sheet Create a Google Sheet with these exact column headers: | Job_ID | Company | Position | Status | Applied_Date | Last_Checked | Application_ID | Notes | Job_URL | Priority | |--------|---------|----------|--------|--------------|--------------|----------------|-------|---------|----------| | JOB001 | Google | Software Engineer | Not Applied | | | | | https://careers.google.com/jobs/123 | High | | JOB002 | Microsoft | Product Manager | Not Applied | | | | | https://careers.microsoft.com/jobs/456 | Medium | Column explanations: Job_ID**: Unique identifier (JOB001, JOB002, etc.) Company**: Company name Position**: Job title Status**: Not Applied, Applied, Under Review, Interview Scheduled, Rejected, Offer Applied_Date**: Auto-filled when application is submitted Last_Checked**: Auto-updated during status checks Application_ID**: Platform reference ID (auto-generated) Notes**: Additional information or application notes Job_URL**: Direct link to job posting Priority**: High, Medium, Low (Low priority jobs are skipped) Step 2: Configure Google Sheets Access In n8n, go to Credentials → Add Credential Select Google Sheets OAuth2 API Follow the OAuth setup process to authorize n8n Test the connection with your job tracking sheet Step 3: Set Up Gmail Notifications Add another credential for Gmail OAuth2 API Authorize n8n to send emails from your Gmail account Test by sending a sample email Step 4: Update Workflow Configuration In the "Set Configuration" node, update these values: spreadsheetId**: Your Google Sheet ID (found in the URL) resumeUrl**: Direct link to your resume (make sure it's publicly accessible) yourEmail**: Your email address for notifications coverLetterTemplate**: Customize your cover letter template Step 5: Customize Application Logic For basic version (no API access): The workflow includes placeholder HTTP requests that you can replace with actual job platform integrations. For advanced version (with API access): Replace LinkedIn/Indeed HTTP nodes with actual API calls Add your API credentials to n8n's credential store Update the platform detection logic for additional job boards Step 6: Test and Activate Add 1-2 test jobs to your sheet with "Not Applied" status Run the workflow manually to test Check that the sheet gets updated and you receive notifications Activate the workflow to run automatically How to customize the workflow Adding New Job Platforms Update Platform Detection: Modify the "Check Platform Type" node to recognize new job board URLs Add New Application Node: Create HTTP request nodes for new platforms Update Status Checking: Add status check logic for the new platform Customizing Application Strategy Rate Limiting**: Add "Wait" nodes between applications (recommended: 5-10 minutes) Application Timing**: Modify the cron schedule to apply during optimal hours Priority Filtering**: Adjust the filter conditions to match your criteria Multiple Resumes**: Use conditional logic to select different resumes based on job type Enhanced Notifications Slack Integration**: Replace Gmail nodes with Slack for team notifications Discord Webhooks**: Send updates to Discord channels SMS Notifications**: Use Twilio for urgent status updates Dashboard Updates**: Connect to Notion, Airtable, or other productivity tools Advanced Features AI-Powered Personalization**: Use OpenAI to generate custom cover letters Job Scoring**: Implement scoring logic based on job requirements vs. your skills Interview Scheduling**: Auto-schedule interviews when status changes Follow-up Automation**: Send follow-up emails after specific time periods Important Notes Platform Compliance Always respect rate limits to avoid being blocked Follow each platform's Terms of Service Use official APIs when available instead of web scraping Don't spam job boards with excessive applications Data Privacy Store credentials securely using n8n's credential store Don't hardcode API keys or personal information in nodes Regularly review and clean up old application data Ensure your resume link is secure but accessible Quality Control Start with a small number of jobs to test the workflow Review application success rates and adjust strategy Monitor for errors and set up proper error handling Keep your job list updated and remove expired postings This workflow transforms job searching from a manual, time-consuming process into an automated system that maximizes your application efficiency while maintaining quality and compliance.

Automate Email Filtering & AI Summarization. 100% free & effective, works 7/24

Good to know: This workflow automatically processes incoming emails (you can filter them base on your needs) and creates concise AI-powered summaries, then logs them to a Google Sheets spreadsheet for easy tracking and analysis. Who is this for? ➖Business professionals who receive many emails and need quick summaries ➖Customer service teams tracking email communications ➖Project managers monitoring email correspondence ➖Anyone who wants to automatically organize and summarize their email communications What problem is this workflow solving? This workflow solves the problem of email overload by automatically reading incoming emails, generating concise summaries using AI, and organizing them in a structured format. It eliminates the need to manually read through every email to understand the key points and maintains a searchable record of communications. What this workflow does: ✅Monitors your Gmail inbox for new emails ✅Filters emails based on specific criteria (sender validation) ✅Extracts key information (sender, date, subject, content) ✅Uses AI to generate concise summaries of email content ✅Automatically logs all data including the AI summary to a Google Sheets spreadsheet How it works: 1️⃣Gmail trigger monitors for new emails at specified intervals 2️⃣Email data is processed and formatted using JavaScript 3️⃣A conditional check validates the sender 4️⃣AI agent (powered by Groq's language model) reads the email content and generates a summary 5️⃣All information is automatically appended to a Google Sheets document How to use: Set up Gmail OAuth2 credentials in n8n Configure Google Sheets OAuth2 credentials Set up Groq API credentials for AI processing Create a Google Sheets document and update the document ID Customize the sender validation criteria as needed Activate the workflow Requirements: ✅n8n instance (cloud or self-hosted) ✅Gmail account with OAuth2 access ✅Google Sheets account ✅AI API ✅Basic understanding of n8n workflow Customizing this workflow: 🟢Modify the Gmail trigger filters to target specific labels or criteria 🟢Adjust the sender validation logic in the conditional node 🟢Customize the AI prompt to change summary style or focus 🟢Add additional data fields to the Google Sheets output 🟢Change the polling frequency for checking new emails 🟢Switch to different AI models by replacing the Groq node

Generate Personalized Sales Emails with LinkedIn Data & Claude 3.7 via OpenRouter

How it works The automation loads rows from a Google Sheet of leads that you want to contact. It makes a Google search via Apify for LinkedIn links based on the First name / Last name / Company. Another Apify actor fetches the right LinkedIn profile based on the first profile which is retuned The same process is done for the company that the lead works for, giving extra context. If the lead has a current company listed on their LinkedIn, we use that URL to do the lookup, rather than doing a separate Google search. A call is made to OpenRouter to get an LLM to generate an email based on a prompt designed to do personalized outreach. An email is sent via a Gmail node. Set up steps Connect your Google Sheets + Gmail accounts to use these APIs. Make an account with Apify and enter your credentials. Set your details in the "Set My Data" node to customize the workflow to revolve around your company + value proposition. I would recommend changing the prompt in the "Generate Personalized Email" node to match the tone of voice that you want your agent to have. You can change the guidelines to e.g. change whether the agent introduces itself, and give more examples in the style you want to make the output better.

Lead Generation Agent

Who this is for This workflow is for digital marketing agencies or sales teams who want to automatically find business leads based on industry & location, gather their contact details, and send personalized cold emails — all from one form submission. What this workflow does This workflow starts every time someone submits the Lead Machine Form. It then: Scrapes business data* (company name, website, phone, address, category) using Apify* based on business type & location. Extracts the best email address* from each business website using Google Gemini AI*. Stores valid leads* in Google Sheets*. Generates cold email content** (subject + body) with AI based on your preferred tone (Friendly, Professional, Simple). Sends the cold email** via Gmail. Updates the sheet** with send status & timestamp. Setup To set this workflow up: Form Trigger – Customize the “Lead Machine” form fields if needed (Business Type, Location, Lead Number, Email Style). Apify API – Add your Apify Actor Endpoint URL in the HTTP Request node. Google Gemini – Add credentials for extracting email addresses. Google Sheets – Connect your sheet for storing leads & email status. OpenAI – Add your credentials for cold email generation. Gmail – Connect your Gmail account for sending cold emails. How to customize this workflow to your needs Change the AI email prompt to reflect your brand’s voice and offer. Add filters to only target leads that meet specific criteria (e.g., website must exist, email must be verified). Modify the Google Sheets structure to track extra info like “Follow-up Date” or “Lead Source”. Switch Gmail to another email provider if preferred.

+3

Create & track LinkedIn posts with Google Sheets, GPT-5.1, Unsplash, and Sona

Automate LinkedIn content creation by managing ideas in Google Sheets, generating professional AI-written posts, intelligently selecting relevant Unsplash images, sending drafts for email approval, and publishing directly to LinkedIn. How it works Step 1: Scheduled Sheet Check Workflow runs daily at midnight (customizable to hourly/weekly) Fetches posts from Google Sheet marked with Status = "Ready" Processes one post per run, updates status to "In Progress" Step 2: AI Content Generation GPT-5.1 creates engaging LinkedIn post based on your inputs Generates content with proper hashtags, formatting, and tone Follows your specified content type (tip, story, announcement, etc.) Step 3: Quality Validation Automatically checks character limits (3000 max) Validates minimum hashtag requirements (3+) Loops back to regenerate if quality checks fail Step 4: Email Approval Workflow Formats post as HTML email with professional styling Sends preview to your Gmail for review Waits for your approval response before proceeding Nothing posts without explicit confirmation Step 5: Smart Image Handling If you provided image URL: Downloads from Google Drive, Dropbox, or direct links If no URL is provided: Fetch 10 images from Unsplash and use AI to select the best one. If "Include Image?" is "No": Posts text-only content Automatically converts share links to downloadable formats Step 6: LinkedIn Publishing & Tracking Posts approved content directly to your LinkedIn profile Uses appropriate API endpoint based on whether image is included Updates Google Sheet status to "Posted" for successful posts Marks "Rejected" posts in sheet for review and editing What you'll get Batch content planning**: Queue multiple posts in advance via Google Sheets Consistent posting schedule**: Automated daily publishing without manual work Professional AI content**: GPT-5.1 generates engaging, platform-optimized posts Full approval control**: Review every post before it goes live Flexible image options**: Your images, AI-generated, or text-only Quality assurance**: Built-in checks prevent poorly formatted posts Status tracking**: Monitor what's ready, in progress, rejected, or posted Smart link conversion**: Automatically handles Google Drive and Dropbox share links Requirements Accounts & credentials: OpenAI API key (requires paid plan for GPT-5.1) Gmail account (for approval workflow) Google account (for Sheets integration) LinkedIn account (for publishing) Unsplash API key (for getting images) Google Sheet setup: Create a sheet with these columns: Topic/Subject (required) - Main idea for the post Content Type (required) - e.g., "Tip", "Story", "Announcement" Tone (required) - e.g., "Professional", "Casual", "Inspirational" Target Audience (optional) - Who you're writing for Additional Notes (optional) - Specific points to include Image link for your post (optional) - URL to your image Include Image? (required) - "Yes" or "No" Status (required) - "Ready" to trigger workflow Setup steps Import workflow - Click "Use workflow" to add to your n8n instance Connect credentials: Google Sheets: Authenticate and select your sheet from dropdown OpenAI: Add your API key in both AI nodes Gmail: Authenticate and update recipient email in approval node LinkedIn: Authenticate (your profile auto-populates) Create your content sheet - Add the required columns and fill with post ideas Test the workflow: Add one test row with Status = "Ready" Run workflow manually Check email for approval Verify post appears on LinkedIn Configure schedule - Default is daily at midnight; adjust Schedule Trigger node for different frequency Start batching - Add multiple ideas to your sheet and let automation handle the rest Tips for best results Be specific in Topic/Subject: "5 ways to improve team productivity" beats "productivity tips" Mix content types and tones to keep your feed engaging Use Additional Notes for data points, statistics, or specific examples. You can also include links that the AI can use for the posts. Start with text-only posts to validate content quality before adding images Review rejected posts carefully and refine your inputs Batch 10-20 ideas at once for weeks of automated content

+2

Lead Workflow: Yelp & Trustpilot Scraping + OpenAI Analysis via BrightData

🛒 Lead Workflow: Yelp & Trustpilot Scraping + OpenAI Analysis via BrightData > Description: Automated lead generation workflow that scrapes business data from Yelp and Trustpilot based on location and category, analyzes credibility, and sends personalized outreach emails using AI. > ⚠️ Important: This template requires a self-hosted n8n instance to run. 📋 Overview This workflow provides an automated lead generation solution that identifies high-quality prospects from Yelp and Trustpilot, analyzes their credibility through reviews, and sends personalized outreach emails. Perfect for digital marketing agencies, sales teams, and business development professionals. ✨ Key Features 🎯 Smart Location Analysis** AI breaks down cities into sub-locations for comprehensive coverage 🛍 Yelp Integration** Scrapes business details using BrightData's Yelp dataset ⭐ Trustpilot Verification** Validates business credibility through review analysis 📊 Data Storage** Automatically saves results to Google Sheets 🤖 AI-Powered Outreach** Generates personalized emails using Claude AI 📧 Automated Sending** Sends emails directly through Gmail integration 🔄 How It Works User Input: Submit location, country, and business category through a form AI Location Analysis: Gemini AI identifies sub-locations within the specified area Yelp Scraping: BrightData extracts business information from multiple locations Data Processing: Cleans and stores business details in Google Sheets Trustpilot Verification: Scrapes reviews and company details for credibility check Email Generation: Claude AI creates personalized outreach messages Automated Outreach: Sends emails to qualified prospects via Gmail 📊 Data Output | Field | Description | Example | |---------------|----------------------------------|----------------------------------| | Company Name | Business name from Yelp/Trustpilot | Best Local Restaurant | | Website | Company website URL | https://example-restaurant.com | | Phone Number | Business contact number | (555) 123-4567 | | Email | Business email address | [email protected] | | Address | Physical business location | 123 Main St, City, State | | Rating | Overall business rating | 4.5/5 | | Categories | Business categories/tags | Restaurant, Italian, Fine Dining | 🚀 Setup Instructions ⏱️ Estimated Setup Time: 10–15 minutes Prerequisites n8n instance (self-hosted or cloud) Google account with Sheets access BrightData account with Yelp and Trustpilot datasets Google Gemini API access Anthropic API key for Claude Gmail account for sending emails Step 1: Import the Workflow Copy the JSON workflow code In n8n: Workflows → + Add workflow → Import from JSON Paste JSON and click Import Step 2: Configure Google Sheets Integration Create two Google Sheets: Yelp data: Name, Categories, Website, Address, Phone, URL, Rating Trustpilot data: Company Name, Email, Phone Number, Address, Rating, Company About Copy Sheet IDs from URLs In n8n: Credentials → + Add credential → Google Sheets OAuth2 API Complete OAuth setup and test connection Update all Google Sheets nodes with your Sheet IDs Step 3: Configure BrightData Set up BrightData credentials in n8n Replace API token with: BRIGHT_DATA_API_KEY Verify dataset access: Yelp dataset: gd_lgugwl0519h1p14rwk Trustpilot dataset: gd_lm5zmhwd2sni130p Test connections Step 4: Configure AI Models Google Gemini (Location Analysis)** Add Google Gemini API credentials Configure model: models/gemini-1.5-flash Claude AI (Email Generation)** Add Anthropic API credentials Configure model: claude-sonnet-4-20250514 Step 5: Configure Gmail Integration Set up Gmail OAuth2 credentials in n8n Update "Send Outreach Email" node Test email sending Step 6: Test & Activate Activate the workflow Test with sample data: Country: United States Location: Dallas Category: Restaurants Verify data appears in Google Sheets Check that emails are generated and sent 📖 Usage Guide Starting a Lead Generation Campaign Access the form trigger URL Enter your target criteria: Country: Target country Location: City or region Category: Business type (e.g., restaurants) Submit the form to start the process Monitoring Results Yelp Data Sheet:** View scraped business information Trustpilot Sheet:** Review credibility data Gmail Sent Items:** Track outreach emails sent 🔧 Customization Options Modifying Email Templates Edit the "AI Generate Email Content" node to customize: Email tone and style Services mentioned Call-to-action messages Branding elements Adjusting Data Filters Modify rating thresholds Set minimum review counts Add geographic restrictions Filter by business size Scaling the Workflow Increase batch sizes Add delays between requests Use parallel processing Add error handling 🚨 Troubleshooting Common Issues & Solutions BrightData Connection Failed Cause: Invalid API credentials or dataset access Solution: Verify credentials and dataset permissions No Data Extracted Cause: Invalid location or changed page structure Solution: Verify location names and test other categories Gmail Authentication Issues Cause: Expired OAuth tokens Solution: Re-authenticate and check permissions AI Model Errors Cause: API quota exceeded or invalid keys Solution: Check usage limits and API key Performance Optimization Rate Limiting:** Add delays Error Handling:** Retry failed requests Data Validation:** Check for malformed data Memory Management:** Process in smaller batches 📈 Use Cases & Examples Digital Marketing Agency Lead Generation Goal:** Find businesses needing marketing Target:** Restaurants, retail stores Approach:** Focus on good-rated but low-online-presence businesses B2B Sales Prospecting Goal:** Find software solution clients Target:** Growing businesses Approach:** Focus on recent positive reviews Partnership Development Goal:** Find complementary businesses Target:** Established businesses Approach:** Focus on reputation and satisfaction scores ⚡ Performance & Limits Expected Performance Processing Time:** 5–10 minutes/location Data Accuracy:** 90%+ Success Rate:** 85%+ Daily Capacity:** 100–500 leads Resource Usage API Calls:** ~10–20 per business Storage:** Minimal (Google Sheets) Execution Time:** 3–8 minutes/10 businesses Network Usage:** ~5–10MB/business 🤝 Support & Community Getting Help n8n Community Forum:** community.n8n.io Docs:** docs.n8n.io BrightData Support:** Via dashboard Contributing Share improvements Report issues and suggestions Create industry-specific variations Document best practices > 🔒 Privacy & Compliance: Ensure GDPR/CCPA compliance. Always respect robots.txt and terms of service of scraped sites. 🎯 Ready to Generate Leads! This workflow provides a complete solution for automated lead generation and outreach. Customize it to fit your needs and start building your pipeline today! For any questions or support, please contact: 📧 [email protected] or fill out this form: Contact Us

Automate Newsletter Creation & Client Delivery with GPT-4O, Google Sheets

How it Works This workflow automates the complete newsletter management process from content creation to client delivery, using Google Sheets, AI content generation, Google Drive, and Gmail. Whether you're a content creator, marketing agency, or small business owner, this workflow helps you automate newsletter creation and manage client communications with built-in approval workflows — all triggered from a simple spreadsheet. 🎯 Use Case Ideal for: Marketing Teams** streamlining newsletter distribution Agencies** managing multiple client newsletters Content Creators** automating regular communications Small Businesses** maintaining customer engagement Setup Instructions Upload the Spreadsheet File name: Newsletter_Management Sheet structure: | ID | Topic | Client Name | Client Email | Status | Created Date | Send Date | Add newsletter topics and set their Status as Pending Configure Google Sheets Nodes Connect your Google account to: Get topic from newsletter sheet Pick records to send email to client Get Client email address Update Status as Generated Update status as Sent Add API Credentials OpenAI API Key** → for AI content generation Google Drive Access** → for document storage Gmail Account** → for sending newsletters and notifications Activate the Workflow Once live, the workflow will: Manual Path: Generate newsletter content from pending topics Scheduled Path: Send approved newsletters to clients automatically Track status updates throughout the entire process Store generated content in Google Drive Send admin notifications and client emails 🔁 Workflow Logic Main Workflow (Content Generation) Trigger: Manual activation for newsletter creation Retrieve: Pending topics from Google Sheets Validate: Status confirmation (Pending only) Generate: AI-powered HTML newsletter content Store: Upload to Google Drive Notify: Send completion email to admin Update: Mark status as "Generated" Scheduled Workflow (Client Distribution) Trigger: Schedule-based activation Retrieve: Approved newsletters from Google Sheets Validate: Status confirmation (Approved only) Lookup: Client email addresses Loop: Process multiple recipients Send: Personalized newsletters via Gmail Update: Mark status as "Sent" 🧩 Node Descriptions | Node Name | Description | |-----------|-------------| | When clicking 'Test workflow' | Manual trigger to start newsletter generation | | Get topic from newsletter sheet | Retrieves pending newsletter topics from Google Sheets | | Validate Status as Pending | Checks whether status is 'Pending' for processing | | Create HTML for Newsletter | AI-powered content generation using OpenAI | | Prepare Data to create word doc | Formats generated content for document creation | | Upload doc to google drive | Stores completed newsletters in Google Drive | | Send an email to admin | Notifies administrators of completion | | Update Status as Generated | Marks processed items as 'Generated' | | Schedule Trigger | Automated trigger for client email distribution | | Pick records to send email to client | Retrieves approved newsletters for sending | | Validate Status as Approved | Ensures only approved content is processed | | Get Client email address | Fetches client contact information | | Loop Over Items | Processes multiple newsletter recipients | | Send email to client | Delivers personalized newsletters via Gmail | | Update status as Sent | Marks newsletters as successfully delivered | 🛠️ Customization Tips Modify AI prompts for different content styles and tones Add Slack notifications instead of or alongside Gmail Export to different formats (PDF, Word, etc.) Schedule multiple sending times for different client segments Add approval workflows with webhook triggers Integrate with CRM systems for client management 📒 Suggested Sticky Notes for Workflow | Node/Section | Sticky Note Content | |--------------|---------------------| | Manual Trigger | "Click to start newsletter generation process" | | AI Content Generation | "Customize prompts here for different newsletter styles" | | Google Drive Upload | "Organized storage - change folder structure as needed" | | Gmail Admin Notification | "Update admin email addresses and notification templates" | | Schedule Trigger | "Set optimal sending times for your audience" | | Client Email Loop | "Handles bulk sending - monitors for delivery errors" | | Status Updates | "Maintains audit trail - prevents duplicate processing" | 📎 Required Files | File Name | Purpose | |-----------|---------| | Newsletter_Management.xlsx | Google Sheet to manage topics, clients, and status tracking | | Client_Database.xlsx | Client contact information and preferences | | Newsletter_Workflow.json | Main n8n workflow export for this automation | 🧪 Testing Tips Add one test topic with status = Pending and run manual trigger Verify AI content generation produces quality HTML Check Google Drive upload and folder organization Test admin email delivery and formatting Add test client with valid email for scheduled workflow Monitor workflow logs for API responses and errors Confirm status updates occur at each step 🏷 Suggested Tags & Categories #Newsletter #EmailMarketing #ContentGeneration #ClientCommunication #Automation #GoogleWorkspace #AIContent #MarketingAutomation #WorkflowManagement #BusinessProcess 🔧 Prerequisites Google Workspace account (Sheets, Drive, Gmail) OpenAI API account with GPT-4 access n8n instance (Cloud or self-hosted) Basic understanding of Google Sheets and email marketing 📊 Expected Performance Setup Time**: 30-45 minutes Monthly Executions**: 100-500 (varies by newsletter frequency) Processing Time**: 2-5 minutes per newsletter Scalability**: Handles 100+ clients efficiently 🚨 Important Notes Ensure proper Google API permissions are configured Monitor OpenAI API usage and rate limits Set up error handling for failed email deliveries Regularly backup your Google Sheets data Test thoroughly before production deployment 💡 Advanced Features Approval Workflows**: Add manual approval steps between generation and sending A/B Testing**: Create multiple versions and track performance Analytics Integration**: Connect with Google Analytics for tracking Multi-language Support**: Generate content in different languages Dynamic Personalization**: Use client data for personalized content

+2

Financial Document Extraction from Gmail to Google Sheets

Overview Manual financial reconciliation is tedious and prone to error. This workflow functions as an AI Financial Controller, automatically monitoring your inbox for invoices, receipts, and bills, extracting the data using OCR, and syncing it to Google Sheets for approval. Unlike simple scrapers, this workflow uses a "Guardrail" AI agent to filter out non-financial emails (like newsletters) before they are processed, ensuring only actual transactions are recorded. Who is it for? Finance Teams:** To automate the collection of vendor invoices. Freelancers:** To track expenses and receipts for tax season. Operations Managers:** To monitor budget spend and categorize costs automatically. How it works Ingest: The workflow watches a specific Gmail label (e.g., "INBOX") for new emails. Guardrail: A Gemini-powered AI agent analyzes the email text to determine if it is a valid financial transaction. If not, the workflow stops. Extraction (OCR): If an attachment exists: An AI Agent (GPT-4o) extracts data from the PDF. If no attachment: An AI Agent extracts data directly from the email body. Validation: Code nodes check for missing fields or invalid amounts. Business Logic: The system automatically assigns General Ledger (GL) categories (e.g., "Uber" -> "Travel") and sets approval statuses based on amount thresholds. Sync: Validated data is logged to Google Sheets, and a confirmation email is sent. Errors are logged to a separate error sheet. How to set up Google Sheets: Copy this Google Sheet template to your drive. It contains the necessary tabs (Invoices, Error Logs, Success Metrics). Configure Workflow: Open the node named "Configuration: User Settings". Paste your Google Sheet ID (found in the URL of your new sheet). Enter the Admin Email address where you want to receive error notifications. Credentials: Connect your Gmail account. Connect your Google Sheets account. Connect your OpenAI (for OCR) and Google Gemini/PaLM (for Guardrails) accounts. Requirements n8n version 1.0 or higher. Gmail account. OpenAI API Key. Google Gemini (PaLM) API Key.

Turn YouTube Transcripts into Newsletter Drafts using Dumpling AI + GPT-4o

🧾 What this workflow does This workflow turns YouTube video links into ready-to-edit newsletter drafts using Dumpling AI and GPT-4o. It reads new video URLs from a Google Sheet, extracts their transcripts, summarizes them into email-friendly content, and logs the finished draft back into the same sheet. An email notification is also sent to alert the user once each draft is created. 👤 Who is this for Newsletter writers or marketers repurposing video content YouTube creators building email follow-ups from videos Agencies or VAs batching social → email content Automation users streamlining content workflows ⚙️ How to set up ✅ Requirements Google Sheet** with the following columns: link — YouTube video URL blog post — for saving the generated newsletter draft Active accounts for: Dumpling AI (API for YouTube transcripts) OpenAI GPT-4 or GPT-4o Google Sheets Gmail (OAuth2 credential) 🔧 Setup steps Connect all credentials using n8n's Credential Manager: Google Sheets (OAuth2) Dumpling AI (via HTTP Header Auth) OpenAI Gmail Update the sheet ID and tab name in both Google Sheets nodes. Customize the GPT-4o prompt (optional): Located in the “GPT-4o: Write Newsletter Draft from Transcript” node You can edit tone, structure, and audience targeting in the system message Verify email recipient in the Gmail node and update if needed. 🧠 How it works The workflow is triggered manually or on schedule. It pulls YouTube links without drafts from the sheet. Each video’s transcript is fetched using Dumpling AI. GPT-4o summarizes the transcript into a clean, friendly newsletter format. The draft is written back to the same row in Google Sheets. An email is sent to notify the user that the draft is ready. 🛠️ Customization ideas Send finished drafts to Notion or Airtable instead of Sheets Generate social media posts from the same transcript Add automatic review steps using GPT scoring or editing Trigger this on new form submissions or YouTube uploads instead This is a fast, AI-powered way to turn long-form video content into clean, polished newsletters — ready to share or schedule with minimal editing.

3D Product Video Generator from 2D Image for E-Commerce Stores

✅ What problem does this workflow solve? Shopify and E-Commerce store owners often struggle to create engaging 3D videos from static product images. This workflow automates that entire process—from image upload to video delivery—so store owners can get professional-looking 3D videos without any manual editing or follow-up. ⚙️ What does this workflow do? Accepts a 2D product image and name via a public n8n form. Generates a unique slug and folder in Google Drive for the product. Uploads the original image to Google Drive and logs data in a spreadsheet. Removes the background from the image using remove.bg API. Uploads the cleaned image to Google Drive and updates the spreadsheet. Creates a 3D product video using the cleaned image via the Fal.ai API. Periodically checks the video creation status. Once completed, download the video, upload it to Google Drive, and log the link. Notifies the store owner via email with the video download link. 🔧 Setup 🟢 Google Services Google Drive**: Create and connect a folder where all product assets will be stored. Google Spreadsheet**: A spreadsheet to log the product name, original image link, cleaned image link, and final video URL. Gmail**: Connect Gmail to send the final notification email to the store owner. 🔑 API Keys Required Remove.bg**: Get an API key from remove.bg. Fal.ai**: Sign up at fal.ai and obtain your API key to use the image-to-video generation service. 🧠 How it Works 📝 1. Product Form Submission A store owner submits the product name and 2D image via a public n8n form. 🗂 2. Organize in Google Drive A unique slug is generated for the product. A new folder is created inside Google Drive using that slug. The original image is uploaded into the folder. 📊 3. Record in a Spreadsheet The product name and original image URL are stored in a Google Sheet. 🧹 4. Background Removal The uploaded image is processed through remove.bg API to eliminate noisy or cluttered backgrounds. The cleaned image is uploaded back into the product’s Drive folder. The cleaned image link is updated in the spreadsheet. 🎥 5. Create 3D Video (via Fal.ai) The cleaned image is passed to the Fal.ai video generation API. The workflow periodically checks the status until the video is ready. ☁️ 6. Store Final Video Once the video is ready, the file is downloaded. The final video is uploaded into the same Google Drive folder. Its link is saved in the spreadsheet next to the respective product entry. 📧 7. Notify the Store Owner An automated email is sent to the store owner with the video link, letting them know it's ready for use—no waiting, no manual follow-up needed. 👤 Who can use it? This workflow is ideal for: 🛍 Shopify Sellers 🧺 E-commerce Store Owners 📸 Product Photographers 🎬 Marketing Teams 🤖 Automation Enthusiasts If you want to automate 3D product video creation using AI—this is the no-code workflow you’ve been waiting for!

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Lead Research Report Emails

Overview This workflow auto-generates a personalized research report on any prospect who books a call with you—using their LinkedIn profile and advanced web research. When a call is booked in your calendar, the system looks up the lead’s LinkedIn URL from a Google Sheets database. That profile is then scraped using Relevance AI to extract posts, experiences, and education. It also runs a deep-dive query on the person using Perplexity to uncover relevant news, insights, and context. This structured data is passed to an AI model that produces a clean profile summary, suggested pain points, and solution ideas. Finally, the system builds and sends you a fully formatted HTML report via email—ready to review before your meeting. Who’s it for Founders taking high-stakes sales calls SDRs/BDRs booking back-to-back meetings Agencies and consultants who want to personalize discovery calls Teams doing high-touch enterprise sales or B2B outreach How it works Triggered when a new call is booked via Cal.com Finds matching LinkedIn URL from a local database (Google Sheets) Scrapes public LinkedIn data via Relevance AI Runs a Perplexity query on the prospect for deeper context Formats the scraped data using Code nodes Sends structured info to AI to generate: A company + person profile Suggested pain points and solutions Formats everything into a clean HTML report Emails you the final summary to prep for the call Example use case > Someone books a call. You receive a report 2 minutes later in your inbox with: > - Their role, company, and latest posts > - What their business does > - Recent news and context from Perplexity > - Predicted pain points and how you might help > > You show up to the call prepped and ready How to set up Connect your Cal.com trigger (or replace with any booking tool) Set up your Google Sheet(s) with contact info + LinkedIn profiles Add Relevance AI API key and configure LinkedIn scraping (they have free credits) Link Perplexity API for web research Customize the AI prompts and report formatting Connect Gmail or preferred email provider to send reports Requirements Cal.com or other booking platform Google Sheets for lead storage Relevance AI account and API access Perplexity API key OpenAI or similar LLM for summarization Email integration (e.g. Gmail) How to customize Replace Cal.com with Calendly, SavvyCal, etc. Change AI prompt tone and structure of the report Add CRM push (e.g. log into HubSpot, Notion, or Airtable) Add Slack or Telegram notifications for call alerts Format reports as PDF instead of HTML for download

Build an AI confidence coach for women with GPT-4o, Google Sheets and Gmail

📊 Description Most career advice is generic. This workflow builds a fully personalized AI coaching system that remembers every user, adapts to their career stage and goals, detects what kind of help they need, and gets more contextual with every conversation. It is not a simple chatbot — it is a structured coaching engine with user profiling, conversation memory, intent routing, and proactive weekly outreach. Built for women's communities, coaching platforms, HR teams, and edtech creators who want to deliver real personalized career support at scale without hiring a team of coaches. What This Workflow Does 💬 Opens a chat interface where users can start talking immediately — no signup required 🧮 Detects if the user is new or returning on every message using Google Sheets as a user database 📋 Walks new users through a 4-step onboarding — name, career stage, biggest challenge, and monthly goal 🗂️ Stores and updates every user profile in Google Sheets with full onboarding state tracking 🔍 Detects intent from every coaching message across 6 categories — salary negotiation, interview prep, career change, leadership, confidence building, and work-life balance 🤖 Routes each message to a topic-specific GPT-4o system prompt tailored to that coaching category 💬 Loads the last 5 conversations from history to give GPT-4o full context before generating a response ✅ Responds with personalized advice, one actionable step for today, and a follow-up question to keep momentum 📝 Logs every conversation to Google Sheets with timestamp, message, intent, and AI response 📧 Sends every fully onboarded user a personalized weekly check-in email every Sunday with a weekly challenge, progress acknowledgment, and motivational quote from a woman leader Key Benefits ✅ Full conversation memory — every session builds on the last ✅ Intent detection across 6 coaching categories — not one generic prompt ✅ User profiling — advice is always tailored to their stage, challenge, and goal ✅ Proactive weekly outreach — not just reactive coaching ✅ Complete audit trail — every conversation logged to Google Sheets ✅ Works for any number of users simultaneously via session-based identification ✅ No login or signup needed — just open the chat URL and start How It Works SW1 — Onboarding Every message hits the Chat Trigger and gets routed through the onboarding engine. The workflow reads all users from Google Sheets and matches the current session ID. If the user is new they go through 4 onboarding steps one message at a time — name, career stage with a numbered menu, biggest challenge with a numbered menu, and their monthly goal in their own words. Numbered responses are automatically mapped to their full label so 2 becomes Early Career (1-3 years) and 5 becomes Work-life balance. Every step is saved and the onboarding state is tracked so users can return to the same conversation and pick up exactly where they left off. SW2 — Coaching Engine Once onboarding is complete every subsequent message goes straight to the coaching engine. The workflow reads the user's last 5 conversations from the Conversation Log sheet for context. It then scans the message for intent keywords across 6 categories and selects the matching system prompt. GPT-4o receives the full user profile, conversation history, and topic-specific coaching instructions before generating a response. Every response includes a main coaching answer, one specific action the user can take today, and a follow-up question to continue the conversation. The full exchange is logged to the Conversation Log sheet. SW3 — Weekly Check-in Every Sunday at 10AM the workflow reads all fully onboarded users, pulls their recent conversation topics from the log, and generates a personalized weekly check-in email for each one via GPT-4o. The email includes a warm personalized greeting, acknowledgment of their progress, a concrete weekly challenge tied to their goal, and a motivational quote from a real woman leader relevant to their situation. Emails are sent via Gmail and every send is logged to the Weekly Checkins sheet. Features n8n Chat Trigger with public URL — shareable with any user Session-based user identification — no login required 4-step guided onboarding with numbered menu options Numbered response to label mapping for clean data storage New vs returning user detection on every message Google Sheets as full user database and conversation memory 6-category intent detection engine with keyword matching Topic-specific GPT-4o system prompts per coaching category Last 5 message context window passed to every GPT call Structured JSON responses — advice, action step, follow-up question Weekly Sunday proactive check-in via Gmail Personalized HTML email with challenge box and quote section Full logging across 3 sheets — User Profiles, Conversation Log, Weekly Checkins Requirements OpenAI API key (GPT-4o access) Google Sheets OAuth2 connection Gmail OAuth2 connection A configured Google Sheet with 3 sheets as above Setup Steps Create a Google Sheet called "AI Confidence Coach" with 3 sheets — User Profiles, Conversation Log, Weekly Checkins Paste your Sheet ID into all Google Sheets nodes Add your Google Sheets OAuth2 credentials Add your OpenAI API key Add your Gmail OAuth2 credentials Add your email as fallback in the Send Weekly Checkin Email node Activate the workflow and copy the Chat Trigger URL Open the chat URL and test the full onboarding flow with 5 messages Send a coaching question and confirm GPT-4o responds with personalized advice Add your email to the User Profiles sheet and run SW3 manually to test the weekly check-in email Share the chat URL with your users — the workflow runs itself from here Target Audience 🤖 Women's communities and career platforms who want to offer AI coaching at scale 💼 HR teams building internal confidence and career development tools 🎓 Edtech creators running women's upskilling and mentorship programs 🔧 Automation agencies building AI coaching products for clients

AI-Generated LinkedIn Posts with OpenAI, Google Sheets & Email Approval Workflow

How it works This workflow automates the process of creating, approving, and optionally posting LinkedIn content from a Google Sheet. Here's a high-level overview: Scheduled Trigger: Runs automatically based on your defined time interval (daily, weekly, etc.). Fetch Data from Google Sheets: Pulls the first row from your sheet where Status is marked as Pending. Generate LinkedIn Post Content: Uses OpenAI to create a professional LinkedIn post using the Post Description and Instructions from the sheet. Format & Prepare Data: Formats the generated content along with the original instruction and post description for email. Send for Approval: Sends an email to a predefined user (e.g., marketing team) with a custom form for approval, including a dropdown to accept/reject and an optional field for edits. (Optional) Image Fetch: Downloads an image from a URL (if provided in the sheet) for future use in post visuals. Set up steps You’ll need the following before you start: A Google Sheet with the following columns: Post Description, Instructions, Image (URL), Status Access to an OpenAI API key A connected Gmail account for sending approval emails Your own Google Sheets and Gmail credentials added in n8n Steps: Google Sheet Preparation: Create a new Google Sheet with the mentioned columns (Post Description, Instructions, Image, Status, Output, Post Link). Add a row with test data and set Status to Pending. Credentials: In n8n, create OAuth2 credentials for: a. Google Sheets b. Gmail c. OpenAI (API Key) Assign these credentials to the respective nodes in the JSON. OpenAI Model: Choose a model like gpt-4o-mini (used here) or any other available in your plan. Adjust the prompt in the "Generate Post Content" node if needed. Email Configuration: In the Gmail node, set the recipient email to your own or your team’s address. Customize the email message template if necessary. Schedule the Workflow: Set the trigger interval (e.g., every morning at 9 AM). Testing: Run the workflow manually first to confirm everything works. Check Gmail for the approval form, respond, and verify the results.

Scrape LinkedIn Profiles & Save to Google Sheets with Apify

This n8n workflow automates the process of scraping LinkedIn profiles using the Apify platform and organizing the extracted data into Google Sheets for easy analysis and follow-up. Use Cases Lead Generation**: Extract contact information and professional details from LinkedIn profiles Recruitment**: Gather candidate information for talent acquisition Market Research**: Analyze professional networks and industry connections Sales Prospecting**: Build targeted prospect lists with detailed professional information How It Works Workflow Initialization & Input Webhook Start Scraper**: Triggers the entire scraping workflow Read LinkedIn URLs**: Retrieves LinkedIn profile URLs from Google Sheets Schedule Scraper Trigger**: Sets up automated scheduling for regular scraping Data Processing & Extraction Data Formatting**: Prepares and structures the LinkedIn URLs for processing Fetch Profile Data**: Makes HTTP requests to Apify API with profile URLs Run Scraper Actor**: Executes the Apify LinkedIn scraper actor Get Scraped Results**: Retrieves the extracted profile data from Apify Data Storage & Completion Save to Google Sheets**: Stores the scraped profile data in organized spreadsheet format Update Progress Tracker**: Updates workflow status and progress tracking Process Complete Wait**: Ensures all operations finish before final steps Send Success Notification**: Alerts users when scraping is successfully completed Requirements Apify Account Active Apify account with sufficient credits API token for authentication Access to LinkedIn Profile Scraper actor Google Sheets Google account with Sheets access Properly formatted input sheet with LinkedIn URLs Credentials configured in n8n n8n Setup HTTP Request node credentials for Apify Google Sheets node credentials Webhook endpoint configured How to Use Step 1: Prepare Your Data Create a Google Sheet with LinkedIn profile URLs Ensure the sheet has a column named 'linkedin_url' Add any additional columns for metadata (name, company, etc.) Step 2: Configure Credentials Set up Apify API credentials in n8n Configure Google Sheets authentication Update webhook endpoint URL Step 3: Customize Settings Adjust scraping parameters in the Apify node Modify data fields to extract based on your needs Set up notification preferences Step 4: Execute Workflow Trigger via webhook or manual execution Monitor progress through the workflow Check Google Sheets for scraped data Review completion notifications Good to Know Rate Limits**: LinkedIn scraping is subject to rate limits. The workflow includes delays to respect these limits. Data Quality**: Results depend on profile visibility and LinkedIn's anti-scraping measures. Costs**: Apify charges based on compute units used. Monitor your usage to control costs. Compliance**: Ensure your scraping activities comply with LinkedIn's Terms of Service and applicable laws. Customizing This Workflow Enhanced Data Processing Add data enrichment steps to append additional information Implement duplicate detection and merge logic Create data validation rules for quality control Advanced Notifications Set up Slack or email alerts for different scenarios Create detailed reports with scraping statistics Implement error recovery mechanisms Integration Options Connect to CRM systems for automatic lead creation Integrate with marketing automation platforms Export data to analytics tools for further analysis Troubleshooting Common Issues Apify Actor Failures**: Check API limits and actor status Google Sheets Errors**: Verify permissions and sheet structure Rate Limiting**: Implement longer delays between requests Data Quality Issues**: Review scraping parameters and target profiles Best Practices Test with small batches before scaling up Monitor Apify credit usage regularly Keep backup copies of your data Regular validation of scraped information accuracy

AI based Data Analysis, Data Visualization and Data Report with Ada.im

How it works: This template demonstrates how to build a low-code, AI-powered data analysis workflow in n8n. It enables you to connect to various data sources (such as MySQL, Google Sheets, or local files), process and analyze structured data, and generate natural language insights and visualizations using external AI APIs. Key Features: Flexible data source selection (MySQL, Google Sheets, Excel/CSV, etc.) AI-driven data analysis, interpretation, and visualization via HTTP Request nodes Automated email delivery of analysis results (Gmail node) Step-by-step sticky notes for credential setup and workflow customization Step-by-step: Apply for an API Key You can easily create and manage your API Key in the ADA official website - API. To begin with, You need to register for an ADA account. Once on the homepage, click the bottom left corner to access the API management dashboard. Here, you can create new APIs and set the credit consumption limit for each API. A single account can create up to 10 APIs. After successful creation, you can copy the API Key to set credentials. You can also view the credit consumption of each API and manage your APIs. Set credentials In HTTP nodes(DataAnalysis, DataInterpretation, and DataVisualization) select Authentication → Generic Credential Type Choose Header Auth → Create new credential Name the header Authorization, which must be exactly 'Authorization', and fill in the previously applied API key Data Source: The workflow starts by extracting structured data from your chosen source (e.g., database, spreadsheet, or file). AI Skills: Data is sent to external AI APIs for analysis, interpretation, and visualization, based on your configured queries. Result Processing: The AI-generated results are converted to HTML or Markdown as needed. Output: The final report or visualization is sent via email. You can easily adapt this step to other output channels. API Keys Required: Ada API Key: For AI data analysis Gmail OAuth2: For sending emails (if using Gmail node) (Optional) Data source credentials: For MySQL, Google Sheets, etc.

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Automate Social Media Content with AI for Instagram, Facebook, LinkedIn & X

AI Social Media Content Automation – n8n Workflow This workflow is built for creators, solopreneurs, SaaS founders, and agencies looking to automate their social media content process from idea to publication. It combines the power of OpenAI, Google Sheets, and official APIs for Instagram, Facebook, X (Twitter), and LinkedIn to deliver fully automated, brand-consistent social media posts — including text, images, hashtags, CTAs, and scheduling. No more switching tools, rewriting content, or forgetting to post. Just set it up once and let your brand grow automatically. 🔧 What the Workflow Does Generates platform-specific post ideas based on your brand tone. Selects the best idea (or lets you manually input one). Writes tailored posts for Instagram, Facebook, X, and LinkedIn. Auto-generates platform-specific visuals using OpenAI (DALL·E) and uploads to Cloudinary. Publishes content directly using official platform APIs. Logs all actions to Google Sheets and optionally sends a summary email via Gmail. ⚙️ How It Works Trigger the workflow manually, on a schedule, or from a chatbot. AI generates multiple post ideas and filters the best one. Based on the selected idea, it generates full posts for each platform. Custom visuals are created using OpenAI and uploaded to Cloudinary. Final post content is merged and sent to Instagram, Facebook, X, and LinkedIn. Logs and optional reports are created in Google Sheets and Gmail. 🛠️ Setup Steps Set up your accounts and credentials: OpenAI, Cloudinary, Gmail, Meta, LinkedIn, X, and Google Sheets. Import the workflow and subworkflow (Get Brand Brief) into n8n. Replace all placeholders (sheet IDs, access tokens, profile/page IDs, brand brief URLs). Optionally personalize prompts and output templates to match your brand voice. Setup time: ~30–45 minutes (including credentials and testing). Detailed configuration notes are included in sticky nodes throughout the workflow. 📦 Included in Your Package JSON workflow file (main flow + brand brief subflow) Google Sheets templates for history logging Setup documentation (Markdown & PDF) Placeholder reference sheet

Lead Outreach Automation with Google Sheets, Gmail, and n8n Workflow

🎯 Goal Every 60 minutes: Fetch only “New” leads from a Google Sheet Send them a personalized email Update their status to “Contacted” in the same sheet 🧩 Step-by-Step Explanation 1️⃣ 🕒 Trigger: Run Every Day Node Name: Schedule Trigger What it does: Automatically starts the workflow every 60 minutes (or your chosen interval). Why it's needed: You don’t need to run the workflow manually — it runs on a timer, like a robot doing your follow-up. 2️⃣ 📄 Fetch Leads from Google Sheet Node Name: Fetch Leads from Google Sheet What it does: Connects to your Google Sheet and pulls all the rows of leads. Expected columns: Name Email Status (should be "New" if not yet emailed) 3️⃣ 🔍 Filter Only New Leads Node Name: Filter Only New Leads What it does: Filters only rows where Status = New. Why it's needed: Prevents emailing the same lead twice. Old leads are ignored. 4️⃣ 🔁 Batch Process Leads Node Name: Batch Process Leads What it does: Splits filtered leads into individual batches (usually one-by-one). Why it's useful: Helps avoid API rate limits or spam blocks by sending emails one at a time. 5️⃣ ✉️ Send Email to Lead Node Name: Send Email to Lead What it does: Sends a personalized email to each lead using their name and email. How personalization works: Use variables like {{ $json["Name"] }} in the subject/body. 6️⃣ ✅ Mark Lead as Contacted Node Name: Mark Lead as Contacted What it does: Updates the row in Google Sheet, changing Status from New to Contacted. Why it's important: Ensures this lead won't be processed again next time. 🔁 Loop Back After updating the lead status, the flow loops back to process the next lead from the batch. ✨ Bonus Touch This automation is clean, efficient, and scalable. You can later enhance it by: Adding AI to write emails dynamically Sending follow-up reminders Tracking performance stats in another sheet

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Newsletter Summarization & Briefing with Gmail, AI, Google Sheets & Email

Your inbox is overflowing with daily newsletters: Public Affairs, ESG, Legal, Finance, you name it. You want to stay informed, but reading 10 emails every morning? Impossible. What if you could get one single digest summarizing everything that matters, automatically? ❌ No more copy-pasting text into ChatGPT ❌ No more scrolling through endless email threads ✅ Just one smart, structured daily briefing in your inbox Who Is This For Public Affairs Teams: Stay ahead of political and regulatory updates—without drowning in emails. Executives & Analysts: Get daily summaries of key insights from multiple newsletters. Marketing, Legal, or ESG Departments: Repurpose this workflow for your own content sources. How It Works Gmail collects all newsletters from the day (based on sender or label). HTML noise and formatting are stripped automatically. Long texts are split into chunks and logged in Google Sheets. An AI Agent (Gemini or OpenAI) summarizes all content into one clean daily digest. The workflow structures the summary into an HTML email and sends it to your chosen recipients. Setup Guide • You’ll need Gmail and Google Sheets credentials. • Add your own AI Model (e.g., Gemini or OpenAI) with an API key. • Adjust the prompt inside the “Public Affairs Consultant” node to fit your topic (e.g., Legal, Finance, ESG, Marketing). • Customize the email subject and design inside the “Structure HTML-Mail” node. • Optional: Use Memory3 to let the AI learn your preferred tone and style over time. Cost & Runtime Runs once per day. Typical cost: ~$0.10–0.30 per run (depending on model and input length). Average runtime: <2 minutes.

Interview Scheduling Automation with Google Sheets, Calendar, Gmail & GPT-4o'

SEO-Optimized Description: Streamline your interview scheduling process with this intelligent n8n automation template powered by Google Calendar, Google Sheets, and GPT-4. This workflow reads candidate information from a spreadsheet, automatically schedules interviews in Google Calendar, and sends personalized interview invitation emails—all without manual input. What This Template Does: 📋 Monitors a Google Sheet for new candidate entries every minute 🕒 Auto-selects the next available interview slot (Mon/Wed/Fri at 3 PM) 📅 Creates a calendar invite in your Google Calendar ✍️ Uses GPT-4 to generate personalized emails based on candidate data 📧 Sends the email invite with the interview link via Gmail Built-in logic ensures: Candidates never get same-day interviews AI-generated emails are concise, polite, and professionally formatted Scheduling remains conflict-free and easy to manage Requirements: Google Calendar API credentials Google Sheets with candidate info (Name, Email, Background) Gmail account with OAuth2 Azure OpenAI API (GPT-4o recommended) Perfect For: Startups, HR teams, and recruiters looking to automate interview scheduling, eliminate back-and-forth emails, and deliver a professional candidate experience—all with zero hassle.

Automated Job Hunter: Upwork Opportunity Aggregator & AI-Powered Notifier

🚀 Automated Job Hunter: Upwork Opportunity Aggregator & AI-Powered Notifier! Workflow Overview This cutting-edge n8n automation is a sophisticated job discovery and notification tool designed to transform freelance job hunting into a seamless, intelligent process. By intelligently connecting Apify, OpenAI, Google Sheets, and Gmail, this workflow: Discovers Job Opportunities: Automatically scrapes Upwork job listings Tracks recent freelance opportunities Eliminates manual job searching efforts Intelligent Data Processing: Filters and extracts key job details Structures job information Ensures comprehensive opportunity tracking AI-Powered Summarization: Generates concise job summaries Creates human-readable job digests Provides quick, actionable insights Seamless Notification: Automatically logs jobs to Google Sheets Sends personalized email digests Enables rapid opportunity assessment Key Benefits 🤖 Full Automation: Zero-touch job discovery 💡 Smart Filtering: Targeted job opportunities 📊 Comprehensive Tracking: Detailed job market insights 🌐 Multi-Platform Synchronization: Seamless data flow Workflow Architecture 🔹 Stage 1: Job Discovery Scheduled Trigger**: Daily job scanning Apify Integration**: Upwork job scraping Intelligent Filtering**: Recent job postings Specific keywords Relevant opportunities 🔹 Stage 2: Data Extraction Comprehensive Job Metadata Parsing** Key Information Retrieval** Structured Data Preparation** 🔹 Stage 3: AI Summarization OpenAI GPT Processing** Professional Summary Generation** Contextual Job Insight Creation** 🔹 Stage 4: Multi-Platform Distribution Google Sheets Logging** Gmail Integration** Automated Job Digest Delivery** Potential Use Cases Freelancers**: Opportunity tracking Job Seekers**: Automated job discovery Recruitment Agencies**: Market intelligence Skill Development Professionals**: Trend monitoring Career Coaches**: Client opportunity identification Setup Requirements Apify Upwork scraping actor API token Configured scraping parameters OpenAI API GPT model access Summarization configuration API key management Google Sheets Connected Google account Prepared job tracking spreadsheet Appropriate sharing settings Gmail Account Connected email Job digest configuration Appropriate sending permissions n8n Installation Cloud or self-hosted instance Workflow configuration API credential management Future Enhancement Suggestions 🤖 Advanced job matching algorithms 📊 Multi-platform job aggregation 🔔 Customizable alert mechanisms 🌐 Expanded job category tracking 🧠 Machine learning job recommendation Technical Considerations Implement robust error handling Use secure API authentication Maintain flexible data processing Ensure compliance with platform guidelines Ethical Guidelines Respect job poster privacy Use data for legitimate job searching Maintain transparent information gathering Provide proper attribution Hashtag Performance Boost 🚀 #FreelanceJobHunting #CareerAutomation #JobDiscovery #AIJobSearch #WorkflowAutomation #FreelanceTech #CareerIntelligence #JobMarketInsights #ProfessionalNetworking #TechJobSearch Workflow Visualization [Daily Trigger] ⬇️ [Fetch Upwork Jobs] ⬇️ [Format Job Fields] ⬇️ [Log to Google Sheets] ⬇️ [AI Summarization] ⬇️ [Send Email Digest] Connect With Me Ready to revolutionize your job hunting strategy? 📧 Email: [email protected] 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your job search with intelligent, automated workflows!

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Automate client onboarding with Asana, Google Docs, Gmail, Slack and Sheets

📊 Description Automate short-term trading research by generating high-quality trade ideas using MCP (Market Context Protocol) signals and AI-powered analysis. 📈🤖 This workflow evaluates market context, catalysts, momentum, and risk factors to produce structured trade ideas with clear reasoning, confidence scores, and execution notes. Designed for fast-moving markets, it helps traders and analysts spot actionable opportunities consistently—without manual screening or emotional bias. Perfect for systematic traders, research teams, and AI-driven trading desks. ⚡📊 🔁 What This Template Does 1️⃣ Ingests market context and asset data from MCP inputs. 📥 2️⃣ Normalizes symbols, sectors, and time horizons for analysis. 🧾 3️⃣ Evaluates short-term momentum and catalyst strength. 🚀 4️⃣ Analyzes risk, volatility, and downside exposure. ⚠️ 5️⃣ Uses AI to generate a structured trade thesis. 🤖 6️⃣ Assigns a confidence score and risk level to each idea. 📊 7️⃣ Produces clear entry logic, rationale, and trade direction. 🧠 8️⃣ Filters out low-quality or low-conviction setups. 🚫 9️⃣ Outputs clean JSON-ready trade ideas for downstream systems. 🔁 ⭐ Key Benefits ✅ Automates short-term trade idea generation ✅ Reduces emotional bias with AI-based scoring ✅ Combines market context, catalysts, and momentum ✅ Produces structured, repeatable trade logic ✅ Saves hours of manual chart and news analysis ✅ Ideal for fast-paced trading environments 🧩 Features MCP (Market Context Protocol) data ingestion AI-powered trade thesis generation Confidence and risk scoring logic Short-term momentum and catalyst analysis Strict structured output for automation reliability Easy integration into dashboards or execution systems 🔐 Requirements MCP-compatible market data source OpenAI API credentials (GPT-4o or GPT-4o-mini recommended) n8n instance with AI nodes enabled Defined schema for trade idea output 🎯 Target Audience Short-term and swing traders Quant and discretionary trading teams Market research analysts Fintech platforms generating trade signals Automation engineers building trading workflows

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AI-Powered X (Twitter) Content Generator and Scheduler with LangChain and Blotato

This n8n template demonstrates how to use AI to fully automate the generation and scheduling of X (formerly Twitter) content based on a specific, predefined persona. Use cases are many: It's perfect for social media marketers looking to streamline content creation, individual experts building a consistent brand voice, or businesses aiming to drive traffic to specific services with a steady stream of relevant content. Good to know The AI model used in this workflow (via OpenRouter) requires an API key and will incur costs based on usage (typically a few cents per generation). The Blotato node used for posting is a third-party community node and requires a separate Blotato account. How it works This workflow is divided into two main processes: Content Generation and Content Posting. Content Generation Process: A Schedule Trigger kicks off the workflow every 4 hours. An AI Agent (LangChain) generates a post based on a detailed prompt defining a persona, purpose, and rules. A Code node refines the AI's output, ensuring the text ends naturally. The generated post is then saved to a Google Sheet with a "Not Posted" status, creating a content queue. Content Posting Process: The workflow retrieves one "Not Posted" item from the Google Sheet. An IF node checks the post's category to determine if an image is required. If an image is needed, it searches for and retrieves a matching image file from a specified Google Drive folder. The Blotato node posts the text (and image, if applicable) to the designated X (Twitter) account. A confirmation email is sent via Gmail to notify stakeholders of the successful post. Finally, the Google Sheet status is updated to "Completed" to prevent duplicate posts. How to use You can test the workflow anytime using the manual trigger. For production, adjust the posting frequency in the "Trigger: Every 4 Hours" node. The quality of the generated content is determined by the prompt. Edit the system message within the "AI: Generate X Post Content" node to customize the persona, purpose, tone of voice, etc. To generate posts with images, you must upload image files to the specified Google Drive folder. The filename must exactly match the post's category name (e.g., Evidence-based_Graph.png). Requirements An OpenRouter account (or another AI service account) for the LLM. A Blotato account for social media posting. A Google account for content management, image storage, and notifications (Sheets, Drive, Gmail). Customising this workflow Expand the workflow to post to other social media platforms supported by Blotato, such as Facebook or LinkedIn. Instead of posting immediately, add a human-in-the-loop approval step by sending the AI-generated draft to Slack or email for review before publishing. Replace the Schedule Trigger with a Webhook Trigger to generate and post relevant content based on external events, such as "when a new blog post is published."

Automate Lead Qualification with RetellAI Phone Agent, OpenAI GPT & Google Sheet

👉 Build a Phone Agent to qualify outbound leads and schedule inbound calls Who is this for? This workflow is designed for sales teams, call centers, and businesses handling both outbound and inbound lead calls who want to automate their qualification, follow-up, and call documentation process without manual intervention. It’s ideal for teams using Google Sheets, RetellAI, OpenAI, and Gmail as part of their tech stack. Real-World Use Cases 🛍 E-commerce – Instantly handle product FAQs and order status checks, 24/7. 🏬 Retail Stores – Share store hours, directions, and return policies without lifting a finger. 🍽 Restaurants – Take reservations or answer menu questions automatically. 💼 Service Providers – Book appointments or consultations while you focus on your craft. 📞 Any Local Business – Deliver friendly, consistent phone support — no live agent required. What problem is this workflow solving? Managing lead calls at scale can be chaotic—between scheduling outbound qualification calls, handling inbound appointment requests, and making sure every call is documented and followed up. This workflow automates the entire process, reducing human error and saving time by: ✅ Sending reminders to reps for outbound calls ✅ Automatically placing calls with RetellAI ✅ Handling inbound calls and checking caller details ✅ Generating and emailing call summaries automatically What this workflow does This n8n template connects Google Sheets, RetellAI, OpenAI, and Gmail into a seamless workflow: Outbound Lead Qualification Workflow Triggers when a new lead is added to Google Sheets Sends an SMS notification to remind the rep to call in 5 minutes (Optional) Waits 5 minutes Initiates an automated call to the lead via RetellAI Inbound Call Appointment Scheduler Receives inbound calls from RetellAI (via webhook) Checks if the caller’s number exists in Google Sheets Responds to RetellAI with a success or error message Post-Call Workflow Receives post-call data from RetellAI Filters only analyzed calls Updates the lead’s record in Google Sheets Uses OpenAI to generate a call summary Emails the summary to a team inbox or rep Setup ✅ You need an active RetellAI API key Sign up for RetellAI, create an agent, and set the webhook URLs (n8n_call for call events). Purchase a Twilio phone number and link it to the agent. ✅ Your Google Sheet must have a column for phone numbers (e.g., "Phone") ✅ Gmail account connected and authorized in n8n ✅ OpenAI API key added to your environment variables or credentials Configure your Google Sheets node with the correct spreadsheet ID and range Add your RetellAI API key to the HTTP request nodes Connect your Gmail account in the Gmail node Add your OpenAI key in the OpenAI node 👉 See full setup guide here: Notion Documentation How to customize this workflow to your needs Change SMS content**: Edit the text in the “Send SMS reminder” node to match your team’s tone Modify call wait time**: Enable and adjust the “Wait 5 minutes” node to any delay you prefer Add CRM integration**: Replace or extend the Google Sheets node to update your CRM instead of a spreadsheet Customize call summary prompts**: Edit the prompt sent to OpenAI to change the summary style or add extra insights Send email to different recipients**: Change the recipient address in the Gmail node or make it dynamic from the lead record Need help customizing? Contact me for consulting and support : Linkedin

Find and email ANYONE on LinkedIn with OpenAI, Hunter & Gmail

Setup Time 5-10 minutes Problem 🚨 LinkedIn search is BROKEN. Personalized cold-emailing takes hours! I waste hours on LinkedIn manually filtering profiles, reading summaries, hoping they’d reply—tedious, frustrating, inefficient. But even after finding the email IDs of the contacts, the job to be done is incomplete. 𝗜 𝘄𝗮𝗻𝘁 𝘁𝗼 𝘀𝘁𝗮𝗿𝘁 𝗮 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲𝘀𝗲 𝗰𝗼𝗻𝘁𝗮𝗰𝘁𝘀. If only I could type "𝘗𝘳𝘰𝘥𝘶𝘤𝘵 𝘮𝘢𝘯𝘢𝘨𝘦𝘳𝘴 𝘸𝘰𝘳𝘬𝘪𝘯𝘨 𝘰𝘯 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘈𝘐 𝘪𝘯 𝘠𝘰𝘶𝘛𝘶𝘣𝘦 𝘪𝘯 𝘕𝘦𝘸 𝘠𝘰𝘳𝘬" and seconds later have 10 personalized outreach emails in my Gmail drafts folder, ready for my review. It would save me hours of research effort! Introducing LinkGPT, a LinkedIn Agent, an automated agentic workflow powered by n8n. Prerequisites: Required accounts/API keys for Hunter.io, Google, and OpenAI. This would be helpful for: 🎯 Job Seekers wanting direct outreach to hiring managers (everyone applies to multiple jobs, and crafting personal emails takes hours!) 🎯 Recruiters looking to personalize candidate outreach at scale 🎯 Sales & Founders aiming for targeted customer conversations Step-by-step workflow: Takes 5-10 minutes to setup. Generate a Boolean search string for LinkedIn profiles. Perform authenticated Google searches using your query. Extract LinkedIn URLs and workplace context from the search results. Use OpenAI to extract first name, last name, and domain name from the context. Use Hunter.io to find emails of the contacts. Append all results to your connected Google Sheet. Columns: first_name, last_name, domain_name, email, context Read everything publicly available about your target profiles Identify common ground (shared backgrounds, interests, experiences) Craft highly personalized, thoughtful email drafts Automatically save tailored drafts in your Gmail and Google Sheets I put together a clear, step-by-step guide on setting this up yourself. Sample Query Sample: Input: "I am headed to NYC later this month, whom should I meet with that works in product management for gen AI products?" Output: List of 10 contacts with first name, last name, workplace, email address and context about them, and 10 personalized emails waiting for you review in your Gmail drafts folder

Auto-Generate and Auto-Fill Business Documents with Google Sheets & Gmail

This workflow automates the generation and delivery of personalized business documents (e.g., contracts, job offers, invoices, pay slips) in PDF format. The data source is a Google Sheet, and the documents are created using CraftMyPDF, then uploaded to Google Drive and optionally sent via email. This workflow is ideal for bulk document generation (contracts, invoices, etc.) with minimal manual intervention. Benefits Fully Automated**: Once triggered, it handles the whole pipeline end-to-end—no manual editing or document creation needed. Customizable**: Works with any type of business document as long as you provide a CraftMyPDF template. Scalable**: Processes multiple entries in batch, ideal for HR departments or finance teams. Integrated**: Seamlessly connects Google Sheets, CraftMyPDF, Google Drive, and Gmail. Trackable**: Updates the original spreadsheet to keep track of which documents have been processed. Requirements Self-hosted n8n instance (required for some advanced node usage). Google Sheet template with columns like: FIRST NAME, LAST NAME, ADDRESS, etc. A CraftMyPDF account with a ready-made template. Google OAuth2 credentials for Sheets, Drive, and Gmail integrations. How It Works Trigger & Data Fetch: The workflow starts with a manual trigger ("When clicking ‘Execute workflow’"). It retrieves employee data from a Google Sheet ("Get employees"), filtering rows where the "DONE" column is empty. PDF Generation & Processing: The "Loop Over Items" node processes each employee record individually. The "Create agreement" node uses CraftMyPDF to generate a PDF contract, populating it with employee details (name, address, email, etc.). A conditional node ("Success?") checks if PDF creation was successful. PDF Handling & Notifications: The PDF is fetched ("Get agreement") and uploaded to Google Drive ("Upload agreement") with a filename like [First-Name]-[Last-Name].pdf. An email with the PDF attachment is sent to the employee via Gmail ("Send email with PDF"). Tracking & Completion: The Google Sheet row is updated with "x" in the "DONE" column ("Update row") to mark completion. The workflow merges results and loops until all records are processed. Set Up Steps Prerequisites: Use the self-hosted version of n8n (required for this workflow). Clone the provided Google Sheet template. Configure CraftMyPDF: Create an account on CraftMyPDF. Design a PDF template and note its Template ID. Insert this ID in the "Create agreement" node. Credentials Setup: Connect nodes to: Google Sheets (to fetch/update data). Google Drive (to store PDFs). Gmail (to send emails). CraftMyPDF (for PDF generation). Customization: Adjust field mappings in the "Create agreement" node to match your PDF template placeholders. Modify the email template in "Send email with PDF" as needed. Execution: Run the workflow manually. It will process all rows lacking a "DONE" marker, generating PDFs, sending emails, and updating the sheet automatically. Need help customizing? Contact me for consulting and support or add me on Linkedin.

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AI YouTube Analytics Agent: Comment Analyzer & Insights Reporter

Transform YouTube comments into actionable insights with automated AI analysis and professional email reports. This intelligent workflow monitors your Google Sheets for YouTube video IDs, fetches comments using YouTube API, performs comprehensive AI sentiment analysis, and delivers formatted email reports with viewer insights - helping content creators understand their audience and improve engagement. 🚀 What It Does Smart Video Monitoring: Watches Google Sheets for new YouTube video IDs marked as "Pending" and triggers automated analysis Complete Comment Collection: Fetches up to 100 top comments per video using YouTube API with relevance-based ordering AI-Powered Analysis: Uses GPT-4 to analyze comments for sentiment, themes, questions, feedback, and actionable insights Professional Email Reports: Generates detailed HTML reports with statistics, sentiment breakdown, and improvement recommendations Automated Status Tracking: Updates spreadsheet status to prevent duplicate processing and maintain organized workflow 🎯 Key Benefits ✅ Deep Audience Insights: Understand what viewers really think about your content ✅ Save Hours of Manual Work: Automated comment analysis vs reading hundreds of comments ✅ Improve Content Strategy: Get actionable feedback for better video performance ✅ Track Sentiment Trends: Monitor positive/negative feedback patterns ✅ Professional Reporting: Receive formatted analysis reports via email ✅ Scalable Analysis: Process multiple videos automatically 🏢 Perfect For Content Creators & YouTubers Individual creators tracking audience engagement Educational channels analyzing learning feedback Entertainment creators understanding viewer preferences Business channels monitoring brand sentiment Marketing & Business Applications Brand Monitoring**: Track sentiment on branded content and partnerships Audience Research**: Understand viewer demographics and preferences Content Optimization**: Identify what resonates with your audience Competitor Analysis**: Analyze comments on competitor videos (where allowed) ⚙️ What's Included Complete Analytics Workflow: Ready-to-deploy YouTube comment analysis system Google Sheets Integration: Simple spreadsheet-based video management YouTube API Integration: Automated comment fetching with proper authentication AI Analysis Engine: GPT-4 powered sentiment and insight generation Email Reporting System: Professional HTML-formatted reports Status Management: Automatic processing tracking and duplicate prevention 🔧 Setup Requirements n8n Platform**: Cloud or self-hosted instance YouTube API Credentials**: Google Cloud Console API access OpenAI API**: GPT-4 access for comment analysis Google Sheets**: Video ID management and status tracking Gmail Account**: For receiving analysis reports 📊 Required Google Sheets Structure | ID | Video Title | YouTube Video ID | Status | |----|-------------|------------------|---------| | 1 | My Tutorial | dQw4w9WgXcQ | Pending | | 2 | Product Demo| abc123def456 | Mail Sent | | 3 | Weekly Vlog | xyz789uvw012 | Draft | Status Options: Draft → Pending → Mail Sent 📧 Sample Analysis Report 📺 YouTube Comments Analysis Report Video: "How to Build Your First Website" 📊 Quick Statistics: • Total Comments Analyzed: 87 • Average Likes per Comment: 3.2 • Total Replies: 156 • Sentiment Summary: Positive: 65%, Negative: 10%, Neutral: 25% ❓ Common Questions: • "What hosting service do you recommend?" • "Can I do this without coding experience?" • "How much does domain registration cost?" 💡 Key Feedback Points: • Tutorial pace is perfect for beginners • More examples of finished websites requested • Viewers want follow-up video on advanced features 🎯 Actionable Insights: • Create hosting comparison video • Add timestamps for different skill levels • Consider beginner-friendly series expansion 🎨 Customization Options Analysis Depth: Adjust AI prompts for different analysis focuses (engagement, education, entertainment) Comment Limits: Modify maximum comments processed (default: 100, AI analysis: 50) Report Recipients: Send reports to multiple team members or clients Custom Metrics: Add specific analysis criteria for your content niche Multi-Channel: Process videos from multiple YouTube channels Scheduling: Set up regular analysis of your latest videos 🏷️ Tags & Categories #youtube-analytics #comment-analysis #content-creator-tools #ai-sentiment-analysis #video-insights #audience-research #youtube-api #content-optimization #social-media-analytics #creator-economy #video-marketing #engagement-analysis #content-strategy #ai-reporting #youtube-automation 💡 Use Case Examples Educational Channel: Analyze tutorial comments to identify confusing concepts and improve teaching methods Product Reviews: Monitor sentiment on review videos to understand customer satisfaction trends Entertainment Creator: Track audience reactions to different content formats and optimize future videos

Extract Invoice Data from Email to Google Sheets using GPT-4o AI Automation

Transform your invoice processing from manual data entry into an intelligent automation system. This powerful n8n workflow monitors Gmail for invoice attachments, extracts data using AI-powered analysis, and creates organized Google Sheets with all relevant financial information automatically structured and ready for your accounting workflows. 🔄 How It Works This sophisticated 8-step automation eliminates manual invoice processing: Step 1: Intelligent Email Monitoring The workflow continuously monitors your Gmail account for emails with specific labels, checking every minute for new invoice attachments that need processing. Step 2: Attachment Verification Smart filtering ensures only emails with PDF attachments are processed, preventing unnecessary workflow triggers from text-only emails. Step 3: Advanced PDF Extraction The system automatically downloads and converts PDF invoices into readable text, handling various invoice formats and layouts with high accuracy. Step 4: AI-Powered Data Analysis GPT-4 processes the extracted text using specialized prompts designed for financial document analysis, identifying and extracting: Company information and contact details Invoice numbers, dates, and payment terms Detailed line items with quantities and pricing Tax calculations including CGST, SGST, and VAT Billing and shipping addresses Payment methods and transaction references Step 5: Structured Data Formatting The AI output is automatically formatted into clean, consistent JSON structure with 25+ standardized fields for comprehensive invoice tracking. Step 6: Dynamic Spreadsheet Creation Each processed invoice generates a new Google Sheets document with timestamp naming and organized data layout, ready for accounting review. Step 7: Automated File Organization Processed spreadsheets are automatically moved to designated Google Drive folders, maintaining organized file structure for easy retrieval and audit trails. Step 8: Data Population All extracted invoice data is populated into the spreadsheet with proper formatting, formulas, and structure for immediate use in accounting workflows. ⚙️ Setup Steps Prerequisites Gmail account with invoice-receiving capability Google Workspace access for Sheets and Drive OpenAI API account for data extraction n8n instance (cloud or self-hosted) PDF invoices (text-based, not scanned images) Gmail Configuration Requirements Label Setup: Create specific Gmail labels for invoice processing: 📧 Labels to Create: "Invoice-Processing" (main processing label) "Invoice-Vendors" (supplier invoices) "Invoice-Clients" (customer invoices) "Invoice-Processed" (completed items) Email Filter Configuration: Set up automatic labeling rules: Emails from known vendors → Auto-apply "Invoice-Processing" Emails with "Invoice" in subject → Auto-apply "Invoice-Processing" Attachments with PDF extension → Auto-apply "Invoice-Processing" Configuration Steps Credential Setup Gmail OAuth2**: Full email access including attachments OpenAI API Key**: GPT-4 access for intelligent data extraction Google Sheets OAuth2**: Spreadsheet creation and editing permissions Google Drive OAuth2**: File organization and folder management Google Drive Folder Structure Create organized folder hierarchy: 📁 Invoice Management/ ├── 📁 Incoming Invoices/ ├── 📁 Processed Invoices/ │ ├── 📁 2024/ │ │ ├── 📁 Q1/ │ │ ├── 📁 Q2/ │ │ └── 📁 Q3/ ├── 📁 Vendor Invoices/ └── 📁 Client Invoices/ AI Extraction Customization The default AI prompt extracts standard invoice fields but can be customized for: Regional Tax Systems**: GST (India), VAT (EU), Sales Tax (US) Industry-Specific Fields**: Purchase orders, project codes, cost centers Company Standards**: Custom fields, approval workflows, coding requirements Multi-Currency**: Exchange rates, currency conversion, international invoices Data Validation Rules Implement quality control measures: Required Field Validation**: Ensure critical data is always extracted Format Standardization**: Consistent date formats, number formatting Duplicate Detection**: Identify potentially duplicate invoices Accuracy Scoring**: Confidence levels for extracted data Workflow Activation Import the workflow JSON into your n8n instance Configure all credential connections and test each step Process test invoices to verify accuracy Activate Gmail trigger for continuous monitoring 🚀 Use Cases Accounting Firms & Bookkeepers Client Service Automation**: Process invoices for multiple clients efficiently Data Entry Elimination**: Convert hours of manual work into automated processing Accuracy Improvement**: Reduce human errors in financial data transcription Scalable Operations**: Handle increased client volume without proportional staff increase Small & Medium Businesses Accounts Payable Automation**: Streamline vendor invoice processing Cash Flow Management**: Quick access to payment due dates and amounts Expense Tracking**: Organized categorization of business expenses Audit Preparation**: Maintain organized, searchable invoice records Corporate Finance Teams Procurement Processing**: Handle purchase orders and vendor invoices at scale Multi-Location Operations**: Centralize invoice processing across offices Compliance Management**: Ensure consistent data capture for regulatory requirements Integration Readiness**: Prepare data for ERP and accounting system import Freelancers & Consultants Client Invoice Tracking**: Organize incoming payments and project billing Expense Management**: Categorize business expenses for tax preparation Cash Flow Monitoring**: Track outstanding invoices and payment schedules Professional Organization**: Maintain clean financial records for business growth E-commerce & Retail Supplier Invoice Processing**: Manage inventory purchasing and cost tracking Multi-Vendor Operations**: Handle invoices from numerous suppliers efficiently Cost Analysis**: Track product costs and supplier performance Inventory Reconciliation**: Match invoice data with purchase orders and receipts 🔧 Advanced Customization Options Multi-Format Invoice Handling Extend processing capabilities: PDF Text-Based: Standard invoice PDFs with selectable text Scanned Documents: Add OCR processing for image-based invoices Email Body Invoices: Extract data from invoice details in email content Excel Attachments: Process invoices sent as spreadsheet files Multi-Page Documents: Handle complex invoices with multiple pages Intelligent Data Validation Implement quality assurance features: Cross-Reference Validation**: Compare extracted data against purchase orders Vendor Database Matching**: Verify company details against known vendor lists Tax Calculation Verification**: Validate tax amounts and rates for accuracy Currency Conversion**: Handle multi-currency invoices with real-time exchange rates Workflow Integration Extensions Connect to existing business systems: ERP Integration**: Direct data export to SAP, Oracle, or Microsoft Dynamics Accounting Software**: Push data to QuickBooks, Xero, or FreshBooks Approval Workflows**: Add review and approval steps before final processing Payment Processing**: Connect to banking systems for automated payment scheduling Advanced Analytics & Reporting Generate business insights: Vendor Performance Analysis**: Track pricing trends and payment terms Expense Category Reporting**: Automated expense categorization and analysis Cash Flow Forecasting**: Predict payment obligations based on due dates Audit Trail Management**: Maintain comprehensive processing logs for compliance 📊 Extracted Data Structure Standard Invoice Fields (25+ Data Points) The AI extraction captures comprehensive invoice information: Header Information: Billed To (Customer/Company Name) Invoice Number (Unique Identifier) Date of Issue (Invoice Creation Date) Due Date (Payment Deadline) Line Item Details: Item Description (Product/Service Details) Quantity (Number of Items/Hours) Rate (Unit Price) Amount (Line Total) Tax and Financial Calculations: CGST/SGST Rates and Amounts (Indian GST System) VAT Calculations (European Tax System) Subtotal (Pre-tax Amount) Total Amount (Final Invoice Value) Company and Contact Information: Vendor Company Name Contact Phone/Mobile Email Address Website URL GST Registration Number PAN Number (Indian Tax ID) Address Information: Billing Address Shipping Address Place of Supply Place of Delivery Payment Details: Transaction IDs Payment Mode (Check, Bank Transfer, Card) Terms and Conditions Special Instructions Sample Extracted Data: { "billed_to": "Tech Solutions Inc.", "invoice_number": "INV-2024-0156", "date_of_issue": "2024-03-15", "due_date": "2024-04-15", "item_0_description": "Web Development Services", "item_0_quantity": 40, "item_0_rate": 75.00, "item_0_amount": 3000.00, "tax_0_cgst_rate": 9, "tax_0_cgst_amount": 270.00, "tax_0_sgst_rate": 9, "tax_0_sgst_amount": 270.00, "subtotal": 3000.00, "total": 3540.00, "company_name": "Digital Services LLC", "company_email": "[email protected]", "payment_transaction_ids": "TXN123456789", "mode_of_payment": "Bank Transfer" } 🛠️ Troubleshooting & Best Practices Common Issues & Solutions PDF Extraction Challenges Scanned Documents**: Original workflow handles text-based PDFs only Complex Layouts**: Some invoice formats may require prompt refinement Multi-Page Invoices**: Large invoices might need pagination handling Password Protection**: Encrypted PDFs require manual processing AI Extraction Accuracy Field Recognition**: Some custom invoice formats may need prompt tuning Currency Handling**: Multi-currency invoices may require specific configuration Date Formats**: International date formats might need standardization Vendor Variations**: Different vendor invoice styles may affect accuracy Gmail Integration Limitations Label Management**: Ensure consistent labeling for proper processing Attachment Size**: Large PDFs may hit Gmail API limits Email Volume**: High-volume processing may require rate limiting Security Settings**: Corporate Gmail may have additional restrictions Optimization Strategies Processing Efficiency Batch Processing**: Group similar invoices for more efficient processing Template Recognition**: Create vendor-specific extraction templates Quality Scoring**: Implement confidence ratings for extracted data Error Handling**: Add fallback processes for failed extractions Data Quality Assurance Validation Rules**: Implement business logic for data verification Duplicate Detection**: Prevent duplicate invoice processing Manual Review Queues**: Flag uncertain extractions for human review Audit Logging**: Maintain detailed processing logs for troubleshooting Business Process Integration Approval Workflows**: Add management approval steps for high-value invoices Exception Handling**: Create special processes for unusual invoice types Reporting Automation**: Generate regular summaries of processed invoices Archive Management**: Implement retention policies for processed documents 📈 Success Metrics Efficiency Improvements Processing Time**: Reduce manual data entry from hours to minutes Accuracy Rates**: Achieve 95%+ data extraction accuracy Volume Capacity**: Process 10-50x more invoices with same resources Error Reduction**: Eliminate manual transcription errors Business Impact Measurements Cost Savings**: Calculate labor cost reduction from automation Cash Flow Management**: Faster invoice processing enables better payment scheduling Compliance**: Improved audit trails and data consistency Scalability**: Ability to handle business growth without proportional staff increase 📞 Questions & Support Need help implementing or optimizing your AI Invoice Processor Agent? 📧 Expert Technical Support Email**: [email protected] Response Time**: Within 24 hours on business days Specialization**: Invoice processing automation, AI data extraction, accounting workflow integration 🎥 Comprehensive Training Resources YouTube Channel**: https://www.youtube.com/@YaronBeen/videos Complete setup and configuration walkthroughs Advanced customization for different invoice types Integration tutorials for popular accounting software Troubleshooting common extraction and processing issues Best practices for financial document automation 🤝 Professional Community & Updates LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Connect for ongoing automation consulting and support Share your invoice processing success stories and ROI results Access exclusive workflow templates and advanced configurations Join discussions about financial automation trends and innovations 💬 Support Request Guidelines Include in your support message: Your current invoice processing volume and types Specific vendor formats or invoice layouts you handle Target accounting software or systems for integration Any technical errors or extraction accuracy issues Current manual processing workflow and pain points Ready to eliminate manual invoice processing forever? Deploy this AI Invoice Processor Agent and transform your accounting workflow from tedious data entry into intelligent, automated financial management!

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Fast-track CV screening with AI analysis from Gmail to Slack and Google Sheets

CV → Match → Screen → Decide, all automated This workflow automatically processes candidate CVs from email, intelligently matches them to job descriptions, performs AI-powered screening analysis, and sends actionable summaries to your team in Slack. Good to know Handles both PDF and Word document CVs automatically Two-stage JD matching: prioritizes role mentioned in candidate's email, falls back to CV analysis if needed Uses Google Gemini API for AI screening (generous free tier and rate limits, typically enough to avoid paying for API requests, but check latest pricing at Google AI Pricing) All CVs stored in Google Drive with standardized naming (candidate name + date/time) Complete audit trail logged in Google Sheets Who's it for Hiring teams and recruiters who want to automate first-round CV screening while maintaining quality. Perfect for companies receiving high volumes of applications across multiple roles, especially in tech, sales, or automation-focused positions. How it works Gmail monitors inbox for CVs with specific label and downloads attachments Detects file type (PDF or Word) and converts/standardizes format for text extraction AI agent matches candidate to best-fit job description by analyzing email context first (if candidate mentioned a role), or CV content as fallback (selects up to 3 potential JD matches) If multiple JDs matched, second AI agent selects the single best fit AI recruiter agent analyzes CV against selected JD and generates structured screening report (strengths, weaknesses, risk/reward factors, overall fit score 0-10 with justification) Extracts candidate details (name, email) from CV text Logs complete analysis to Google Sheets tracker Sends formatted summary to Slack with Proceed/Reject action buttons for instant team decisions Requirements Gmail account with API access Google Drive account (OAuth2) Google Sheets account (OAuth2) Slack workspace with bot permissions Google Gemini API key (Get free key here) Google Drive folders: one for CVs, one for Job Descriptions (as PDFs or Google Docs) How to set up Add credentials: Gmail OAuth2, Google Drive OAuth2, Google Sheets OAuth2, Slack OAuth2, Google Gemini API Create Gmail label (e.g., "CV-Screening") for incoming candidate emails In "Receive CV via Email" node: select your Gmail label for filtering Create two Google Drive folders: "Candidate CVs" and "Job Descriptions" In "Upload CV - PDF" and "Stream Doc/Docx File" nodes: update folder ID to your "Candidate CVs" folder In "Access JD Files" node: update folder ID to your "Job Descriptions" folder Create Google Sheet named "AI Candidate Screening" with columns matching the sample AI Candidate Screening sheet In "Append row in sheet" node: select your Google Sheet In "Send Candidate Screening Confirmation" node: select your Slack channel Activate workflow Customizing this workflow Change JD matching logic: Edit "JD Matching Agent" node prompt to adjust how CVs are matched to roles (e.g., weight technical skills vs. experience). Change "Company Description" in AI prompts: Insert your "Company Description" in System Message sections in "JD Matching Agent" and "Detailed JD Matching Agent" nodes Modify screening criteria: Edit "Recruiter Scoring Agent" node system message to focus on specific qualities (culture fit, leadership, technical depth, etc.) Add more storage locations: Add nodes to save CVs to other systems (Notion, Airtable, ATS platforms) Customize Slack message: Edit "Send Candidate Screening Confirmation" node to change formatting, add more context, or include additional candidate data Auto-proceed logic: Add IF node after screening to auto-proceed candidates with fit score above threshold (e.g., 8+/10) Add email responses: Connect nodes to automatically email candidates (confirmation, rejection, interview invite) Add human-in-the-loop: Sub-workflow triggered by Slack response or email response, to update Sheet with approve/reject status Add candidate email responses + interview scheduling**: For approved candidates, trigger email to candidate with Cal.com or Calendly link so they can book their interview Quick Troubleshooting No CVs being processed: Check Gmail label is correctly set in "Receive CV via Email" node and emails are being labeled Word documents failing: Verify "Stream Doc/Docx File" node has correct parent folder ID and Google Drive credentials authorized JD matching returns no results: Check "Access JD Files" node folder ID points to your Job Descriptions folder, and JD files are named clearly (e.g., "Marketing Director JD.pdf") JD matching is not relevant for my company: Update the "Company Description" in the System Messages in the "JD Matching Agent" and "Detailed JD Matching Agent" nodes "Can't find matching JD": Ensure candidate's email mentions role name OR their CV clearly indicates relevant experience for available JDs Google Sheets errors: Verify sheet name is "AI Candidate Screening" and column headers exactly match workflow expectations (Submission ID, Date, CV, First Name, etc.) Slack message not appearing: Re-authorize Slack credentials and confirm channel ID in "Send Candidate Screening Confirmation" node Missing candidate name/email: CV text must be readable - check PDF extraction quality or try converting complex CVs to simpler format 401/403 API errors: Re-authorize all OAuth2 credentials (Gmail, Google Drive, Google Sheets, Slack) AI analysis quality issues: Edit system prompts in "JD Matching Agent" and "Recruiter Scoring Agent" nodes to refine screening criteria Sample Outputs Google Sheets - AI Candidate Screening - sample Slack confirmation message Acknowledgments This workflow was inspired by Nate Herk's YouTube demonstration on building a resume analysis system. This implementation builds upon that foundation by adding dynamic job description matching (initial + detailed JD matching agents), Slack Block Kit integration with interactive buttons, updated Google Drive API methods for document handling, and enhanced candidate data capture in Google Sheets.

+3

Extract Trends, Auto-Generate Social Content with AI, Reddit, Google & Post

Extract Trends and Auto-Generate Social Media Content with OpenAI, Reddit, and Google Trends: Approve and Post to Instagram, TikTok, and More Description What Problem Does This Solve? 🛠️ This workflow automates trend extraction and social media content creation for businesses and marketers. It eliminates manual trend research and content generation by fetching trends, scoring them with AI, and posting tailored content to multiple platforms. Target audience: Social media managers, digital marketers, and businesses aiming to streamline content strategies. What Does It Do? 🌟 Fetches trending topics from Reddit, X and Google Trends Scores trends for relevance using OpenAI. Generates content for Twitter/X, LinkedIn, Instagram and Facebook Posts to supported platforms Stores results in Google Sheets for tracking Key Features 📋 Real-time trend fetching from Reddit and Google Trends. AI-driven trend scoring and content generation (OpenAI). Automated posting to Twitter/X, LinkedIn, Instagram, and Facebook. Persistent storage in Google Sheets. Setup Instructions Prerequisites ⚙️ n8n Instance**: Self-hosted or cloud n8n instance. API Credentials**: Reddit API: Client ID and secret from Reddit. SerpApi (Google Trends): API key from SerpApi, stored in n8n credentials OpenAI API: API key with GPT model access. Twitter/X API: OAuth 1.0a credentials with write permissions. LinkedIn API: OAuth 2.0 credentials with w_organization_social scope. Instagram/Facebook API: Meta Developer app with posting permissions. Google Sheets API: Credentials from Google Cloud Console. Installation Steps 📦 Import the Workflow: Copy the workflow JSON from the "Template Code" section below. Import it into n8n via "Import from File" or "Import from URL". Configure Credentials: Add API credentials in n8n’s Credentials section for Reddit, SerpApi, OpenAI, Twitter/X, LinkedIn, Instagram/Facebook, and Google Sheets. Assign credentials to respective nodes. For example: In the Fetch Google Trends node (HTTP Request), use n8n credentials for SerpApi instead of hardcoding the API key. Example: Set the API key in n8n credentials as SerpApiKey and reference it in the node’s query parameter: api_key={{ $credentials.SerpApiKey }}. Set Up Google Sheets with the following columns (exact column names are case-sensitive) -Timestamp | Trend | Score | BrandVoice | AudienceMood | Customize Nodes: OpenAI Nodes** (Trend Relevance Scoring, Generate Social Media Content): Update the model (e.g., gpt-4o) and prompt as needed. HTTP Request Nodes** (Post to Twitter/X, Post to LinkedIn, etc.): Verify URLs, authentication, and payloads. Brand Voice/Audience Mood**: Adjust Prepare Trend Scoring Input for your desired brand_voice (e.g., "casual") and audience_mood (e.g., "curious"). Test the Workflow: Fetch Reddit Trends to Store Selected Trends- to score and store trends. Retrieve Latest Trends to end) to generate and post content Check Google Sheets for posting statuses How It Works High-Level Steps 🔍 Fetch Trends**: Pulls trends from Reddit,X and Google Trends. Score Trends**: Uses OpenAI to score trends for relevance. Generate Content**: Creates platform-specific social media content. Post Content**: Posts to LinkedIn, Facebook or X Detailed descriptions are available in the sticky notes within the workflow screenshot above. Node Names and Actions Trend Extraction and Scoring Daily Trigger Idea: Triggers the workflow daily. Set Default Inputs: Sets default brand_voice and inputs. Fetch Reddit Trends: Fetches Reddit posts. Extract Reddit Trends: Extracts trends from Reddit. Fetch Google Trends: Fetches Google Trends via SerpApi. Extract Google Trends2: Processes Google Trends data. Fetch Twitter Mentions: Fetches Twitter mentions. Translate Tweets to English: Translates tweets. Fix Tweet Translation Output: Fixes translation format. Detect Audience Mood: Detects audience mood. Fix Audience Mood Output: Fixes mood output format. Analyze News Sentiment: Analyzes news sentiment. Combine Data (Merge): Merges all data sources. Merge Items into Single Item: Combines data into one item. Combine Trends and UGC: Combines trends with UGC. Prepare Trend Scoring Input: Prepares data for scoring. Trend Relevance Scoring: Scores trends with OpenAI. Parse Trend Scores: Parses scoring output. Store Selected Trends: Stores trends in Google Sheets. Content Generation and Posting Retrieve Latest Trends: Retrieves trends from Google Sheets. Parse Retrieved Trends: Parses retrieved trends. Select Top Trends: Selects the top trend. Generate Social Media Content: Generates platform-specific content. Parse Social Media Content: Parses generated content. Generate Images: Generates images for posts (if applicable). -Handle Approvals/Rejection before Posting Post to Instagram: Posts to Instagram. Post to Facebook: Posts to Facebook. Post to LinkedIn: Posts to LinkedIn. Customization Tips Add Trend Sources** 📡: Include more sources (e.g., Instagram trends) by adding nodes to Combine Data (Merge). Change Content Tone** ✍️: Update the Generate Social Media Content prompt for a different tone (e.g., "humorous"). Adjust Schedule** ⏰: Modify Daily Trigger Idea to run hourly or weekly. Automate TikTok/YouTube** 🎥: Add video generation (e.g., FFMPEG) to post TikTok and YouTube Shorts

Multiple Websites Monitoring with Notifications including Phone Calls

✅ What problem does this workflow solve? Automatically monitor multiple websites every 5 minutes, log downtime, notify your team instantly via multiple channels, and track uptime/downtime in a Google Sheet—without relying on expensive monitoring tools. ⚙️ What does this workflow do? Triggers every 5 minutes to monitor website health. Fetches a list of website URLs from a Google Sheet. Checks the status of each website one by one. Sends instant alerts if a website is down (Email, Slack, Telegram, Voice Call). Logs downtime events in Google Sheets. Tracks when websites are back up and updates the log. Sends recovery notifications when a site is live again (Email, Slack, Telegram). 🔧 Setup 📄 Google Sheets Setup Sheet 1: List of website URLs to monitor. Sheet 2: Log to store uptime/downtime records. Sample Format: https://docs.google.com/spreadsheets/d/1_VVpkIvpYQigw5q0KmPXUAC2aV2rk1nRQLQZ7YK2KwY/edit?usp=sharing ✉️ Gmail, Slack & Telegram Setup Connect Gmail, Slack, and Telegram to n8n. Configure each service with proper credentials or OAuth. 📞 Vapi (Voice Call) Setup Create a Vapi account. Generate an API key. Configure API Parameters (vapi_api_key, assistant_id, number, phone_number_id) on VAPI Node. Insert the First Message specified in the Workflow. 🧠 How it Works ⏱ 1. Scheduled Monitoring A Schedule Trigger runs the workflow every 5 minutes. It reads the list of URLs from the Google Sheet and loops through each one. 🌍 2. Website Health Check Each website is pinged to check if it’s online. 🔴 3. If Website is Down: It verifies if a downtime record already exists. If not, it: Adds a new row in the Google Sheet with the timestamp. Sends notifications via: 📧 Email 💬 Slack 📲 Telegram 📞 Voice Call via Vapi 🟢 4. If Website is Back Up: It fetches the matching downtime record. Updates the sheet with: ✅ Uptime timestamp ⏱ Total downtime duration Sends recovery notifications via: 📧 Email 💬 Slack 📲 Telegram (No phone call is made for uptime.) 👤 Who can use it? This is perfect for: 🚀 Startups 👨‍💻 Freelance Developers 🛠 SaaS Product Owners 🖥 IT/DevOps Teams If you're looking to replace tools like UptimeRobot, Pingdom, or StatusCake, this no-code solution gives you full control, customization, and cost-efficiency.

AI-Powered Automated Outreach with Scheduling, Gemini, Gmail & Google Sheets

AI-Powered Automated Outreach Scheduling with Gemini, Gmail & Google Sheets Automate your lead generation and outreach process seamlessly using AI, Gmail, and Google Sheets—all within n8n. No complicated setup—just import, activate, and start reaching prospects with personalized messages generated by Google Gemini’s AI model. Quick Setup Import the Workflow Download and import the provided workflow into your n8n instance. Connect Your Accounts Authenticate your Google Sheets account. Connect your Gmail account for sending emails. Prepare the Spreadsheet Use this template to set up your leads and tracking sheet. Configure the Gemini API Obtain your Gemini API key. Here Add it to the Gemini API credentials within n8n. Set Scheduling Preferences Customize the Schedule Trigger node to control when the workflow runs. Edit Email Prompts Update the initial and follow-up email prompts to match your outreach tone and goals. Set Rate Limits Configure the rate limiting settings to comply with Gmail sending limits and avoid spam filters. Activate the Workflow Enable the workflow to begin automated outreach to your leads. Track and Manage Leads Monitor responses and update lead statuses directly in your Google Sheet. How It Works Schedule Trigger:** Automatically starts outreach based on your defined schedule Google Sheets Integration:** Fetches leads and updates their status after outreach Email Validation:** Checks if lead emails are valid before sending Website Scraper:** Gathers info from lead websites to personalize messages Google Gemini AI:** Generates tailored cold outreach messages optimized for high response Gmail Node:** Sends personalized emails directly from your Gmail account Core Features Pull leads automatically from Google Sheets Validate emails to avoid bounces Scrape lead websites for custom messaging context Generate AI-crafted outreach emails with dynamic personalization Send emails on schedule without manual intervention Update lead status to track outreach progress AI Integration Uses Google Gemini AI to create professional, friendly, and engaging outreach emails Dynamic prompt templates tailored to each lead’s company and website content Structured JSON output to easily map subject, greeting, and body content 💡 Usage Examples B2B cold outreach campaigns with personalized emails Automated follow-ups based on lead engagement Lead nurturing with context-aware messaging Sales prospecting workflows integrated into your CRM ✨ Benefits Save hours by automating personalized outreach Increase response rates with AI-optimized messaging Keep lead data organized and updated in Google Sheets Fully scalable and customizable n8n workflow Minimal setup, ready to run out-of-the-box

AI Email Assistant: Prioritize Gmail with ChatGPT Summaries and Slack Digests

This n8n workflow acts as an AI-powered Inbox Assistant that automatically summarizes and classifies Gmail emails, prioritizes important messages, and sends a daily digest to Slack. It’s ideal for startup founders and small teams juggling investor intros, customer leads, and support queries — all from a busy Gmail inbox. Each email is processed using ChatGPT to generate a concise summary, classify the message (e.g., Support, Investor, Spam), and determine its urgency. High and medium priority messages are forwarded to Slack instantly. Lower priority emails are logged to Google Sheets for review. A daily 7 PM digest summarizes the day’s most important messages. 💡 Use Cases Preventing missed investor or lead emails Lightweight CRM alternative using Google Sheets Slack summaries of critical Gmail activity 🔧 How It Works Gmail node fetches new messages ChatGPT summarizes and extracts urgency + type High/medium urgency → sent to Slack + labeled in Gmail Low urgency → logged in Google Sheets Cron node triggers a daily 7 PM Slack summary ✅ Requirements OpenAI API Key (GPT-4 or GPT-4o recommended) Gmail access with read and label permission Slack Bot Token or Webhook URL Google Sheets integration (optional) 🛠 Customization Ideas Replace Slack with Telegram or WhatsApp Route investor leads to Airtable or Notion Add multi-language support in ChatGPT prompt Create weekly summaries via email

+4

Generate Content Strategy Reports Analyzing Reddit, YouTube & X with Gemini

Description This workflow provides a powerful AI assistant for content creators, book editors, and marketers. It automates the collection and analysis of trending discussions from Reddit, YouTube, and X (Twitter), generating insightful topic reports. This frees you from hours of tedious data compilation, allowing you to make faster, more accurate topic decisions based on deep AI analysis. How it works This workflow simulates the complete research process of a strategic editor: Initiate & Collect: A user submits a keyword via a public Form Trigger. The workflow then automatically fetches relevant, trending content in parallel from the official APIs of Reddit, YouTube, and X (Twitter). Multi-stage AI Processing & Analysis: The workflow utilizes a layered AI pipeline to process the data. First, a lightweight Gemini model in the AI Pre-filter Content node rapidly screens the vast amount of content to filter out noise. Next, a more powerful Gemini Pro model in the AI Deep Analysis node performs a detailed, structured analysis on each high-value item, extracting summaries, sentiment, and key arguments. Finally, a "strategist" AI model in the AI Synthesize Final Report node aggregates all analyses to generate the comprehensive final topic report in HTML. Multi-Channel Report Distribution: The workflow distributes the final report to multiple channels based on pre-defined templates. The Send Gmail Report node sends the complete HTML report. The Send Feishu Notification node sends a concise summary card to a group chat. Meanwhile, the Archive to Google Sheets node archives key data. Setup Steps This workflow takes approximately 20-30 minutes to set up, with most of the time spent connecting your accounts. Connect Your API Accounts: In the n8n Credentials section, you will need to prepare and connect credentials for the following services: Google: For the Gemini AI model, Gmail sending, and Google Sheets archiving. This requires a Google Cloud API Key and OAuth2 credentials. Reddit: For fetching Reddit posts. This requires a Reddit account with OAuth2 configured in n8n to allow searches. YouTube: For collecting YouTube videos. You'll need to enable the YouTube Data API v3 in your Google Cloud Console and get an API Key. Twitter: For the official Twitter node, requiring a free developer account and an App with v2 API access. Configure Output Channels: In the final nodes (Send Gmail Report, Send Feishu Notification, Archive to Google Sheets), update the recipient email address, the Feishu bot's Webhook URL, and the target spreadsheet ID to match your own. Activate and Share the Trigger: Activate the workflow. The first Form Trigger node will automatically generate a public URL. Share this link with your team members to let them start using the tool.

+5

Generate Videos with AI, ElevenLabs,PIAPI Shotstack/Creatomate & Post to Youtube

Auto-Generate Long Videos with AI, ElevenLabs,PIAPI,Shotstack/Creatomate & Post to Youtube Overview This n8n automation workflow automates the creation, scripting, production, and posting of YouTube videos. It leverages AI (OpenAI), image generation (PIAPI), video rendering (Shotstack), and platform integrations (Airtable, Google Sheets, YouTube) to streamline the process. Target Audience Content creators, video producers, and YouTubers** seeking to automate video content creation. Digital marketing teams** managing video campaigns for travel or history niches. Users familiar with n8n, Airtable, Google Sheets, YouTube, and API integrations**. Problem Solved Manually managing YouTube video production, from ideation to posting, is time-consuming and prone to errors. This workflow addresses: Content Sourcing**: Generates video ideas using AI based on "domain of choice". Content Formatting**: Automatically creates detailed scripts and scene structures. Visual Production**: Produces high-quality images and renders videos with minimal manual input. Multi-Platform Integration**: Publishes to YouTube with status tracking in Airtable and Google Sheets. Status Tracking**: Monitors progress (Generated, Scripted, Produced, Published) across platforms. Prerequisites Before setting up, ensure you have: An n8n instance (self-hosted or cloud) API credentials for: OpenAI (for idea generation) PIAPI.ai (for image and video generation) ElevenLabs (for audio generation) Shotstack (for video rendering) Creatomate (for video rendering) Airtable & Google Sheets and Drive (for storage and tracking) Gmail (for notifications) YouTube API (for posting to YouTube) How the Automation Works (Step by Step) Trigger (Schedule Trigger) Initiates the workflow daily Connects to "Generate Idea" Generate Idea Uses OpenAI to create a unique 4-minute video idea with a title, description, keywords, scene structure, and intrigue note Checks Airtable "Ideas" table via searchAirtable to avoid duplicates Connects to "Parse Ideas" Parse Ideas Extracts title, description, and notes from the OpenAI output using JavaScript Connects to "Add Ideas" Add Ideas Stores the initial idea in Google Sheets "Ideas" sheet with fields like "Idea", "Description", and "Progress" (set to "Generated") Connects to "Store in Airtable" Store in Airtable Saves the idea to Airtable "Ideas" table with mapped fields and typecast enabled Connects to "Generate Script" Generate Script Creates a 500-600 word script with 8-10 scenes using OpenAI, based on the latest "Generated" idea Uses Structured Output Parser to format output Connects to "Parse Script Output" Parse Script Output Formats the script into readable text and JSON, extracting scenes and closing question Connects to "Store Script" Store Script Saves the script to Google Sheets "Production" sheet with "Script", "Scenes", and "Status" (set to "Scripted") Connects to "Store Script in Airtable" Store Script in Airtable Saves the script to Airtable "Production" table with mapped fields and typecast enabled Connects to "Updated Idea to Scripted" Updated Idea to Scripted Updates the idea status to "Scripted" in Google Sheets "Ideas" sheet Connects to "Update Status Ideas Table" Update Status Ideas Table Updates the idea status to "Scripted" in Airtable "Ideas" table, matching by "Idea ID" Connects to "Extract Scenes" Extract Scenes Parses scene data from Airtable "Production" table for image generation Connects to "Text-to-Image" Text-to-Image Generates images for each scene using PIAPI Connects to "Wait for 4 Min" Wait for 4 Min Waits 3 minutes to allow image generation to complete Connects to "Get Images" Trigger (Schedule Trigger1) Initiates the posting process daily Connects to "Search for Latest Ready Video" Search for Latest Ready Video Searches Airtable "Production" table for the latest video with "Status" = "Ready" Connects to "If Ready?" If Ready? Checks if a video is ready (condition: Status contains Ready) If true, connects to "Download Video" and "Update Production Table" Download Video Downloads the video file using the VideoURL from Airtable Connects to "Post YouTube" Post YouTube Uploads the video to YouTube with title and description, using YouTube OAuth2 Update Production Table Updates the "Production" sheet in Google Sheets, setting "Status" to "Published" and matching by "Production ID" Additional Nodes and Processes OpenAI Chat Model**: Powers "Generate Idea" and "Generate Script" with GPT Structured Output Parser**: Ensures proper JSON output for scripts Get Images**: Retrieves generated images Extract Narration**: Prepares narration for voice generation Voice Generation**: Generates voiceovers Generate Music Prompt**: Creates music prompts using OpenAI Text-to-Music**: Generates music Build Shotstack Timeline**: Constructs video timeline ShotStack Render Video**: Renders the final video Poll Rendered Videos**: Checks video rendering status Final Video**: Updates Airtable "Production" with final video details Final Video Update**: Updates Google Sheets "Production" with video URL Music Urls**: Adds music URLs to the process Setup Requirements Before starting, ensure you have the following 1 n8n Instance A self-hosted or cloud-based n8n instance to run the workflow 2 API Credentials OpenAI: API key Airtable: Personal Access Token (e.g, "Airtable Personal Access Token Google Sheets: OAuth2 credentials PIAPI: HTTP Header Auth key YouTube: OAuth2 credentials 3 Airtable Configuration Base: "Youtube Videos" Tables: "Ideas" "Production" Share with the Airtable token 4 Google Sheets Configuration Document: "Youtube Videos" Sheets: "Ideas" "Production" Share with the Google Sheets credential email Shotstack Configuration (Assumed) API key and endpoint for video rendering (not specified in JSON) Setup Instructions Import the Workflow Import the provided JSON file into your n8n instance Configure Credentials Add OpenAI, Airtable, Google Sheets, PIAPI, and YouTube credentials in n8n’s credential manager Set Up Airtable Create or update the "Ideas" and "Production" tables with the specified fields Ensure proper permissions with the Airtable token Configure Google Sheets Create or update the "Ideas" and "Production" sheets with the specified columns Share the document with the Google Sheets credential email Schedule Triggers Set "Schedule Trigger" to trigger Test the Workflow Run manually to verify each node’s functionality Check Airtable, Google Sheets, and YouTube for updates Ensure PIAPI image generation completes (wait 4 minutes) Monitor and Adjust Monitor API rate limits (e.g, PIAPI, YouTube) Adjust wait times if image or video generation delays occur Verify connections for unlinked nodes Benefits Efficiency**: Automates the entire process from idea to posting Scalability**: Handles daily video production Quality**: Ensures cinematic scripts and visuals Tracking**: Provides detailed progress monitoring Notes Rate Limits**: Be aware of PIAPI (150,000 units per task) and YouTube API limits Timing**: Adjust wait nodes (e.g, "Wait for 4 Min") based on API response times Conclusion and Suggestions to Improve the Automation Conclusion This workflow streamlines YouTube video production, making it ideal for busy content creators, video producers, and marketing teams. Customize it by adding more platforms, adjusting wait delays for image/video generation, or enhancing notifications for status updates. Share your feedback in the n8n community to help others benefit from this automation. Suggestions to Improve Customization**: Adjust prompts, timings, and API parameters based on your needs Expand "Text-to-Music**" with multiple music styles or integrate a royalty-free music API for variety. Improve Video Rendering**: Optimize "Build Shotstack Timeline" and "ShotStack Render Video" with predefined templates to reduce rendering time. Add Analytics Tracking**: Include a node to fetch YouTube Analytics post-upload for performance monitoring. Error Handling**: Add error-catching nodes (e.g., "If" nodes) to retry failed image or video generations. Notification System**: Incorporate email or Slack notifications for key milestones (e.g., script completion, video upload).

Automate Blog Content Creation with OpenAI, Google Sheets & Email Approval Flow

Who is this for? This workflow is perfect for: Digital marketers who need to scale SEO-optimized content production Bloggers and content creators who want to maintain consistent publishing schedules Small business owners who need regular blog content but lack writing resources What problem is this workflow solving? Creating high-quality, SEO-optimized blog content consistently is time-consuming and resource-intensive. This workflow solves that by: Automating the content generation process from topic to final draft Ensuring quality control through human-in-the-loop approval Managing topic queues and preventing duplicate content creation Streamlining the revision process based on human feedback Organizing and archiving all generated content for future reference What this workflow does From topics stored in Google Sheets, this workflow: Automatically retrieves pending topics from your Google Sheets tracking document Generates SEO-optimized blog posts (800-1200 words) using OpenAI GPT-4 with structured prompts Sends content for human approval via email with custom approval forms Handles revision requests by incorporating feedback while maintaining SEO best practices Updates topic status to prevent duplicate processing Add approved generated content in Google Sheets for easy access and management Routes workflow based on approval decisions (approve, revise, or cancel) Setup Copy the Google Sheet template here: 👉 Automate Blog Content Creation – Google Sheet Template Connect Google Sheets with your topic tracking document (requires "Topic List" and "Generated Content" sheets) Add your OpenAI API key to the AI agent nodes for content generation Configure Gmail for the approval notification system Set up your topic list in Google Sheets with "Topic" and "Status" columns Customize the schedule trigger to run at your preferred intervals Update email recipient in the approval node to your email address Test with a sample topic marked as "Pending" in your Google Sheet How to customize this workflow to your needs Adjust content length**: modify the word count requirements in the AI agent prompts Change writing style**: customize the copywriter prompts for different tones (formal, casual, technical) Add multiple reviewers**: extend the approval system to include additional stakeholders Integrate with CMS**: add nodes to automatically publish approved content to WordPress, Webflow, or other platforms Include keyword research**: add Ahrefs or SEMrush nodes to incorporate keyword data Add image generation**: integrate DALL-E or Midjourney for automatic featured image creation Customize approval criteria**: modify the approval form to include specific feedback categories Add content scoring**: integrate readability checkers or SEO analysis tools before approval Contact me for consulting and support: 📧 [email protected]

+4

Build a Google Drive internal knowledge base with OpenAI and Pinecone

📊 Description Every company has documents sitting in Google Drive that nobody reads. HR policies, sales playbooks, product FAQs, financial guidelines — all written once, never found again. This workflow turns all of those documents into a live, searchable AI knowledge base that any team member can query instantly via a simple API call. Ask it anything. It finds the right document, pulls the exact relevant section, and answers in plain english — with the source cited so you always know where the answer came from. No hallucinations, no guessing, no manual searching. Built for founders, ops teams, and automation agencies who want company knowledge to be instantly accessible without building a custom RAG system from scratch. What This Workflow Does 📂 Reads all Google Docs from your Knowledge Base folder in Google Drive automatically ✂️ Splits each document into semantic chunks with overlap for better context retrieval 🤖 Converts every chunk into vector embeddings using OpenAI text-embedding-3-small 📌 Stores all embeddings in Pinecone with document metadata for fast semantic search 🌐 Accepts any question via webhook — from Slack, a form, or any internal tool 🔍 Searches Pinecone for the 5 most semantically relevant chunks to the question 🧠 Sends retrieved context to GPT-4o which answers using only what's in your documents 📝 Logs every question, answer, source, and confidence score to Google Sheets 🔄 Every Sunday checks Drive for new or updated documents and re-ingests them automatically 📧 Sends a weekly knowledge base digest showing what's current, new, or updated Key Benefits ✅ Zero hallucinations — GPT-4o only answers from your actual documents ✅ Always cites the source document so answers are verifiable ✅ Semantic search finds relevant content even if exact words don't match ✅ Knowledge base stays fresh automatically every Sunday ✅ Every Q&A logged to Google Sheets for full audit trail ✅ Works with any Google Docs — just drop them in the folder and run SW1 How It Works The workflow runs across 3 sub-workflows — one for ingestion, one for answering, one for maintenance. SW1 — Document Ingestion Pipeline (Run manually) You point it at your Google Drive Knowledge Base folder. It downloads every Google Doc as plain text, splits each one into 500-character chunks with 100-character overlap so context is preserved across boundaries. Each chunk gets converted into a 1536-dimension vector embedding using OpenAI's text-embedding-3-small model and stored in Pinecone with the document name as metadata. Every ingested document is logged to your Document Registry sheet with the ingestion date. Run this once when setting up, then SW3 handles updates automatically. SW2 — Question & Answer Agent (Always active via webhook) Someone sends a POST request with a question and their email. The question gets converted to an embedding using the same model used during ingestion. Pinecone finds the 5 most semantically similar chunks — ranked by cosine similarity score. Chunks scoring below 0.3 are filtered out to avoid irrelevant results. The remaining context gets sent to GPT-4o with strict instructions to only answer from what's provided. If the answer isn't in the knowledge base, it says so clearly instead of making something up. The response includes the answer, source document, confidence level, and whether it was found in the knowledge base. Everything is logged to your Q&A Log sheet. SW3 — Knowledge Base Manager (Every Sunday 11AM) Pulls your current Drive folder contents and compares every document ID against your Document Registry. New documents get flagged for ingestion. Existing documents get checked — if the file was modified after the last ingestion date, it gets re-ingested automatically. You get a weekly digest email showing what's current, what was updated, and what's new. No manual monitoring needed. Features Manual ingestion trigger for initial setup Google Drive folder monitoring for new and updated docs Recursive character text splitting with configurable chunk size and overlap OpenAI text-embedding-3-small for high quality 1536-dimension embeddings Pinecone vector database for fast cosine similarity search Relevance score filtering — only chunks above 0.3 score are used GPT-4o grounded answering with strict no-hallucination prompt Source citation in every answer Confidence scoring — high, medium, or low per response Full Q&A audit log in Google Sheets Weekly automated document registry sync Weekly KB digest email with full status report Modular 3-stage architecture — easy to extend with Slack or Teams integration Requirements OpenAI API key (text-embedding-3-small + GPT-4o access) Pinecone account — free tier works (index: dimensions 1536, metric cosine) Google Drive OAuth2 connection Google Sheets OAuth2 connection Gmail OAuth2 connection A Google Drive folder with your company documents as Google Docs A configured Google Sheet with 2 sheets: Q&A Log and Document Registry Setup Steps Create a Pinecone account at pinecone.io — free tier is enough Create a Pinecone index with dimensions 1536 and metric cosine Create a Google Drive folder called "Knowledge Base" Add your company documents as Google Docs inside that folder Copy the Google Sheet template and grab your Sheet ID Add all credentials — Pinecone, OpenAI, Google Drive, Google Sheets, Gmail Paste your Knowledge Base folder ID into both Google Drive nodes Paste your Sheet ID into all Google Sheets nodes Test by sending a POST request to the webhook with a question from your docs Target Audience 🧠 Founders who want instant answers from company documents without digging through Drive 📋 Ops and HR teams tired of answering the same internal questions repeatedly 💼 Sales teams who need instant access to product, pricing, and competitor information 🤖 Automation agencies building internal AI tools and knowledge systems for clients

+3

Generate pain-driven content ideas from market signals with GPT-4o, Xpoz MCP, Google Sheets, ClickUp, and Slack

📘 Description This workflow automates market-driven content ideation by continuously discovering real user pain points from public discussions and converting them into execution-ready content ideas. It is designed for growth and content teams who want ideas grounded in actual customer language, frustrations, and unmet needs—rather than assumptions or generic brainstorming. On a scheduled basis, the workflow scans public search and social platforms for conversations related to a defined niche and keyword set. An AI discovery agent extracts recurring pain points, common complaints, and the exact phrasing users use when describing their problems. These raw market signals are then transformed by a second AI agent into pain-driven content ideas, each mapped to a platform, format, hook, core pain point, resonance logic, and CTA. All generated ideas are normalized, stored in a central Google Sheets content database, converted into execution tasks in ClickUp, and summarized in Slack for immediate team visibility. Built-in error handling ensures failures are reported instantly. ⚠️ Deployment Disclaimer This workflow is intended for self-hosted n8n instances only. It relies on MCP-based social intelligence tools and advanced AI agent orchestration not supported on n8n Cloud. ⚙️ What This Workflow Does (Step-by-Step) ⏰ Scheduled Market Discovery Trigger Runs automatically on a defined schedule. 🧾 Inject Niche and Keyword Parameters Defines the research scope for discovery. 🔎 Extract Raw User Pain Points (AI) Scans public discussions to capture real frustrations, questions, and language—no solutions, no opinions. 📡 Public Search & Social Intelligence (MCP) Fetches relevant public conversations for analysis. 🧠 Generate Pain-Driven Content Ideas (AI) Converts raw pain points into platform-ready content ideas with hooks, formats, and CTAs. 🧹 Normalize & Parse AI Output Cleans and standardizes content ideas for downstream systems. 📊 Store Content Ideas in Google Sheets Appends ideas to a centralized content database. 🗂 Create Content Tasks in ClickUp Automatically creates execution-ready tasks for the content team. 📣 Aggregate & Summarize Ideas Generates a concise Slack summary highlighting volume, platforms, and strongest hooks. 🚨 Workflow Error Handler → Email Alert Sends immediate error notifications if any step fails. 🧩 Prerequisites • Self-hosted n8n instance • OpenAI API credentials • MCP (Xpoz) public search & social intelligence credentials • Google Sheets API access • ClickUp API credentials • Slack API access 💡 Key Benefits ✔ Content ideas grounded in real user pain ✔ Eliminates manual research and brainstorming ✔ Produces creator-ready, platform-specific ideas ✔ Centralized storage and task creation ✔ Clear Slack visibility for growth teams ✔ Reliable error monitoring 👥 Perfect For Content strategists Growth marketers B2B SaaS teams Automation and n8n-focused creators Marketing operations teams

Generate and Email PDF Payslips from Google Sheets with Gmail

This workflow automates the entire payslip process by pulling payroll data directly from Google Sheets, generating a professional and secure PDF for each employee, and emailing it to them instantly. Save hours of manual HR administration, eliminate human error, and ensure timely, confidential delivery of payslips every month. Why Use This Workflow? Time Savings: Reduces the entire payslip generation and distribution process from hours of manual work to under 5 minutes. Cost Reduction: Avoids monthly subscription fees for dedicated payroll software, potentially saving $50-$200 per month. Error Prevention: Ensures 100% data accuracy by pulling data directly from the source sheet, eliminating risky copy-paste mistakes. Scalability: Effortlessly handles payroll for 10 or 1,000+ employees without any changes to the core process. Ideal For HR Departments:** For automating the monthly payslip distribution cycle, freeing up teams to focus on more strategic tasks. Small Business Owners:** For managing payroll professionally and efficiently without a dedicated HR team or expensive software. Finance & Operations Teams:** For streamlining a critical financial communication process, ensuring accuracy and creating an audit trail. How It Works Trigger: The workflow is initiated manually, giving you full control over when to run payroll. Configuration & Data Fetch: It loads company-specific details (name, address) and fetches the complete payroll dataset from your designated Google Sheet. Filter Unsent: The workflow intelligently filters the list to process only employees who have not yet been sent a payslip, checking a status column in your sheet. Iterate & Process: It processes one employee record at a time in a loop. Prepare Payslip Data: A Code node dynamically formats all financial data into local currency, generates itemized lists for income and deductions (only showing non-zero values), and even converts the final take-home pay amount into words (specifically in Indonesian). Generate PDF: The prepared data is injected into a beautifully designed HTML template. Puppeteer then converts this HTML into a high-quality, print-ready A4 PDF document. Email Delivery: The generated PDF is attached to a personalized email and sent directly to the employee using your Gmail account. Update Status: Finally, the workflow updates the Google Sheet, marking the employee's payslip as "sent" to prevent duplicate emails in future runs. Setup Guide Prerequisites | Requirement | Type | Purpose | | :--- | :--- | :--- | | n8n instance | Essential | The platform to run the automation. | | Google Sheets Account | Essential | To store and manage employee payroll data. | | Gmail Account | Essential | To send the generated PDF payslips to employees. | | Google Cloud Project | Essential | To create OAuth2 credentials for Sheets and Gmail. | Installation Steps Import the JSON file to your n8n instance. Configure credentials: Google Sheets: Create or use existing OAuth2 credentials from the Google Cloud Console. Ensure the Google Sheets API is enabled. Gmail: Create or use existing OAuth2 credentials. Ensure the Gmail API is enabled. Often, you can use the same credential for both services. Update environment-specific values: In the Fetch Payroll Data and Mark Email Sent in Sheet nodes, select your Google Sheet and specific tab containing the payroll data. In the Company Configuration node, update the values with your company's name, address, and the current payroll period details. Customize settings: Review the email subject and body in the Send Payslip Email node and adjust the text as needed. Modify the template in the Generate Payslip HTML node to match your company's branding (e.g., change the primary color). Test execution: Add a test row to your Google Sheet with your own email address. Make sure the Is Email Sent column is set to "no". Run the workflow manually to verify the process works end-to-end. Technical Details Core Nodes | Node | Purpose | Key Configuration | | :--- | :--- | :--- | | Google Sheets | Reads payroll data and updates the 'sent' status. | Spreadsheet ID, Sheet Name, and Bank Account as the key for matching rows to update. | | Filter | Processes only employees who haven't received a payslip. | Condition: {{ $json["Is Email Sent"] }} equals no. | | Code | Formats currency, creates dynamic tables, and converts numbers to words. | Maps input columns from the sheet to output variables for the HTML template. | | Puppeteer | Converts the styled HTML into a downloadable PDF file. | page.pdf settings define the format (A4), margins, and scale. | | Gmail | Emails the generated PDF to the corresponding employee. | To, Subject, and Attachment fields use expressions to pull data from previous nodes. | | Set | Stores global configuration like company name and payroll date. | All company-specific details that appear on the payslip. | Workflow Logic The workflow operates on an idempotent loop principle. It first reads all data, then filters out employees who have already been processed by checking an Is Email Sent column. For each remaining employee, it generates the PDF, sends the email, and critically, updates the status column in Google Sheets from "no" to "yes". This final step ensures that if the workflow is run again, it will not re-process and re-send payslips, preventing duplicates. Customization Options Basic Adjustments: Email Content:** Modify the subject and body in the Send Payslip Email node. Payslip Branding:** In the Generate Payslip HTML node, change the CSS variables like --primary-color to match your company colors. Company Info:** Update all company-specific text in the Company Configuration node. Advanced Enhancements: Automated Scheduling:** Replace the Manual Trigger with a Schedule Trigger to run the workflow automatically on a specific day each month. Cloud Storage:** Add a Google Drive or Dropbox node after PDF generation to save a copy of every payslip to a secure cloud folder for archival purposes. Error Notifications:** Add an error route to send a notification to an HR administrator via Slack or email if any part of the process fails for an employee. Troubleshooting Common Issues: | Problem | Cause | Solution | | :--- | :--- | :--- | | PDF formatting is broken or misaligned. | Invalid HTML/CSS in the template, or an expression is returning an empty value. | Verify all expressions in the Generate Payslip HTML node are linked correctly. Use an online validator to check for HTML syntax errors. | | Workflow processes the same employees again. | The Mark Email Sent in Sheet node failed, or the Filter is misconfigured. | Ensure the Filter node checks for "no" (case-sensitive). Verify the Mark Email Sent node has write permissions and is correctly identifying the row to update. | | Emails are not being sent. | Incorrect Gmail API permissions or invalid credentials. | Re-authenticate your Gmail credential in n8n. Check your Google Cloud Project to ensure the Gmail API is enabled and has not hit its usage quota. | Use Case Examples Scenario 1: The Small Business Owner Challenge: A small agency owner with 20 employees manages payroll in a Google Sheet. Every month, they spend half a day manually creating payslips in a Word template, saving each as a PDF, and emailing them one by one. Solution: By implementing this workflow, they can trigger the entire process with a single click after finalizing the payroll sheet. Result: What used to take 3 hours now takes less than 2 minutes. Employees receive professional, consistent payslips, and the owner has a clear record of delivery in their Google Sheet. Scenario 2: The HR Manager Challenge: An HR manager at a 150-employee company needs to distribute payslips confidentially. The current process involves a mail merge that is prone to errors and requires manual verification. Solution: The payroll report is exported to a Google Sheet, and this workflow handles the rest. It runs through the entire list, generating and sending each payslip individually. Result: The risk of sending the wrong payslip to an employee is eliminated. The process is fully automated, secure, and provides an auditable trail directly in the spreadsheet, saving the HR department over a day of work each month. Created by: Khaisa Studio Category: HR & Recruiting | Tags: Google Sheets, Gmail, PDF, HR, Automation, Puppeteer, Payroll Need custom workflows? Contact us Connect with the creator: Portfolio • Workflows • LinkedIn • Medium • Threads

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Automate YouTube Thumbnail Creation & Social Publishing with Templated.io & Blotato

💥 Automate YouTube thumbnail creation from video links (with templated.io) Who is this for? This workflow is designed for content creators, YouTubers, and automation enthusiasts who want to automatically generate stunning YouTube thumbnails and streamline their publishing workflow — all within n8n. If you regularly post videos and spend hours designing thumbnails manually, this automation is built for you. What problem is this workflow solving? Creating thumbnails is time-consuming — yet crucial for video performance. This workflow completely automates that process: No more manual design. No more downloading screenshots. No more repetitive uploads. In less than 2 minutes, you can refresh your entire YouTube thumbnail library and make your channel look brand new. What this workflow does Once activated, this workflow can: ✅ Receive YouTube video links via Telegram ✅ Extract metadata (title, description, channel info) via YouTube API ✅ Generate a custom thumbnail automatically using Templated.io ✅ Upload the new thumbnail to Google Drive ✅ Log data in Google Sheets ✅ Send email and Telegram notifications when ready ✅ Create and publish AI-generated social posts on LinkedIn, Facebook, and Twitter via Blotato Bonus: You can re-create dozens of YouTube covers in minutes — saving up to 5 hours per week and around $500/month in manual design effort. Setup 1️⃣ Get a YouTube Data API v3 key from Google Cloud Console 2️⃣ Create a Templated.io account and get your API key + template ID 3️⃣ Set up a Telegram bot using @BotFather 4️⃣ Create a Google Drive folder and copy the folder ID 5️⃣ Create a Google Sheet with columns: Date, Video ID, Video URL, Title, Thumbnail Link, Status 6️⃣ Get your Blotato API key from the dashboard 7️⃣ Connect your social media accounts to Blotato 8️⃣ Fill all credentials in the Workflow Configuration node 9️⃣ Test by sending a YouTube URL to your Telegram bot How to customize this workflow Replace the Templated.io template ID with your own custom thumbnail layout Modify the OpenAI node prompts to change text tone or style Add or remove social platforms in the Blotato section Adjust the wait time (default: 5 minutes) based on template complexity Localize or translate the generated captions as needed Expected Outcome With one Telegram message, you’ll receive: A professional custom thumbnail An instant email + Telegram notification A Google Drive link with your ready-to-use design And your social networks will be automatically updated — no manual uploads. Credits Thumbnail generation powered by Templated.io Social publishing powered by Blotato Automation orchestrated via n8n 👋 Need help or want to customize this? 📩 Contact: LinkedIn 📺 YouTube: @DRFIRASS 🚀 Workshops: Mes Ateliers n8n 🎥 Watch This Tutorial 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube / 🚀 Mes Ateliers n8n

Automate Internal Complaint Resolution with Jotform, Gemini AI & Google Sheets

Workflow explaination video: https://youtu.be/z1grVuNOXMk Prerequisites Before running this workflow, you need to have the following set up: JotForm: A form with fields for describing the issue and optionally naming the team member involved. Google Sheet 1 (Issue Resolver Logic): A sheet with three columns: Issue Category, Normal Resolver, and Alternate Resolver. This sheet defines who handles which type of complaint. Google Sheet 2 (Issue Logs): A sheet to store all submitted complaints. It needs columns like: Issue, The person Caused by, case_awarded_to, resolver_email, email_subject, email_body_html, submitted_time, and status. Google Sheet 3 (Resolver Details): A simple sheet with two columns: resolver (e.g., "HR Team") and email (e.g., "[email protected]"). Credentials: You need to have connected accounts (credentials) in n8n for JotForm, Google (a Service Account for Sheets and OAuth for Gmail), and a Gemini API Key. Part 1: Initial Complaint Processing This part of the workflow triggers when a new complaint is submitted, uses AI to process it, logs it, and sends an initial notification. JotForm Trigger What it is:** The starting point of the workflow. How it works:** It constantly listens for new submissions on your specified JotForm. When someone fills out and submits the form, this node activates and pulls in all the submitted data (like the issue description and the person involved). AI Agent What it is:** The "brain" of the operation, which orchestrates several tools to make a decision. How it works:** This node receives the complaint details from the JotForm Trigger. It follows a detailed prompt that instructs it to perform a sequence of tasks: Classify: Analyze the complaint description to categorize it. Reason: Use its connected "tools" to figure out the correct resolver based on your business logic. Generate: Create a complete email notification and format the final output as a JSON object. Connected Tools:** Google Gemini Chat Model: This is the actual language model that provides the intelligence. The AI Agent sends its prompt and the data to this model for processing. Issue Resolver Allotment Logic Sheets tool: This allows the AI Agent to read your first Google Sheet. It can look up the issue category and find the designated "Normal Resolver" or "Alternate Resolver." Resolver Details Sheets tool: This allows the AI Agent to read your third Google Sheet. Once it knows the name of the resolver (e.g., "HR Team"), it uses this tool to find their corresponding email address. Structured Output Parser: This ensures that the AI's response is perfectly formatted into the required JSON structure (email, case_awarded_to, email_subject, etc.), making it reliable for the next steps. Save Complaint (Google Sheets Node) What it is:** The record-keeping step. How it works:* This node takes the structured JSON output from the AI Agent and the original data from the JotForm Trigger*. It then adds a new row to your second Google Sheet ("Issue Logs"), mapping each piece of data to its correct column (Issue, case_awarded_to, submitted_time, etc.). Send a message (Gmail Node) What it is:** The initial notification step. How it works:* After the complaint is successfully logged, this node sends an email. It uses the resolver_email, email_subject, and email_body_html fields generated by the AI Agent* to send a formal assignment email to the correct department or person. Part 2: Daily Follow-Up This second, independent part of the workflow runs every day to check for unresolved issues that are older than three days and sends a reminder. Schedule Trigger What it is:** The starting point for the daily check-up. How it works:** Instead of waiting for a user action, this node activates automatically at a predefined time each day (e.g., 10:00 AM). Get Complaint Logs (Google Sheets Node) What it is:** The data gathering step for the follow-up process. How it works:* When the schedule triggers, this node reads all* the rows from your "Issue Logs" Google Sheet, bringing every recorded complaint into the workflow for evaluation. If Node What it is:** The decision-making step. How it works:* This node examines each complaint passed to it from the previous step one by one. For each complaint, it performs a calculation: it finds the difference in days between the submitted_time and the current date. If that difference is greater than or equal to 3*, the complaint is passed on to the next step. Otherwise, the workflow stops for that complaint. Send a message1 (Gmail Node) What it is:** The reminder email step. How it works:* This node only receives complaints that met the "3 days or older" condition from the If* node. For each of these old complaints, it sends a follow-up email to the resolver_email. The email body is dynamic, mentioning how many days have passed and including the original issue description to remind the resolver of the pending task.

Automate HS Code Lookup & Enrichment with Google Sheets and Customs API (beta)

"I used to spend hours every week just copy-pasting product descriptions to find the right tariff codes for our international shipments. It was tedious and prone to errors." - Accounting specialist. This workflow eliminates that manual work entirely. It automatically finds customs tariff numbers (also known as HS Codes or "Zolltarifnummern") for your products and enriches your data in Google Sheets. It offers two powerful modes: bulk processing for entire product lists and an on-demand chat interface for quick single lookups. new features added the API score in percentage (80 to 100% is perfect, 70-80% still good) added description of the found HS Code to better verify the accuracy -please keep in mind, that is still a beta https://www.zolltarifnummern.de/services/api What this workflow does Bulk Enrichment from Google Sheets:** Reads a list of product descriptions from a specified Google Sheet. External API Lookup:** For each product, it queries the zolltarifnummern.de API to find the most relevant customs tariff number. Automated Data Update:** Writes the found tariff numbers back into the correct row in your Google Sheet. On-Demand Single Lookup:** Use the integrated Chat Trigger to instantly look up a tariff number for a single product description without leaving n8n. Completion Notification:** Sends a confirmation email via Gmail once the bulk processing job is finished. Nodes Used Google Sheets HTTP Request Loop Over Items (Split in Batches) Set Gmail Chat Trigger Manual Trigger Preparation A Google Sheet prepared with at least two columns: one for your product descriptions (e.g., ProductDescription) and an empty one for the results (e.g., TariffCode). How to set up this workflow Configure Google Sheets (Read): Open the "Read Item Descriptions" node. Select your Google Sheets credentials. Enter your Spreadsheet ID and the name of the sheet containing your product data. Make sure the "Columns to Read" field includes the name of your product description column. Configure Google Sheets (Update): Open the "Write Customs Tariff to Sheet" node. Select the same Google Sheets credentials. Enter the same Spreadsheet ID and Sheet Name. Under Columns, set Matching Columns to your product description column name. This is crucial for updating the correct rows. Configure Email Notification: Open the "Send Completion Email" (Gmail) node. Select your Gmail credentials. In the Send To field, enter the email address where you want to receive the completion notification. Run the Workflow: For Bulk Processing: Activate the workflow and execute the "Abfrage starten" (Start Query) Manual Trigger. For a Single Lookup: Use the Chat Trigger. Open the chat pane, type a product description, and hit send. The workflow will return the suggested tariff number.

Automated Email Triage with Gmail, GPT-4o, and Slack Urgency Notifications

Hourly Email Summary: This agent scans your inbox every 4 hour and summarizes new emails into a clean, actionable Slack message. Powered by GPT-4, it classifies emails by Urgency (High, Medium, Low) and Intent (Awaiting Reply, To Respond, Comment, Notification, Marketing). No more inbox FOMO — just what you need to act fast. Main Use Cases: • Stay on top of important threads without refreshing your inbox constantly • Prioritize tasks and replies based on urgency and context • Catch missed follow-ups by surfacing emails that need a response • Filter out noise like marketing emails or low-priority notifications • Enable async decision-making by keeping the team updated on critical emails via Slack • Reduce cognitive load by letting AI handle sorting and triaging ⸻ ✅ Steps to Use Connect Your Accounts: Add your Gmail, Slack, Google Sheets, and OpenAI credentials inside n8n. Create Gmail Labels (Required): Go to your Gmail settings and create labels matching the following format: AI Agent/To Respond, AI Agent/Awaiting Reply, AI Agent/Notification, AI Agent/Marketing, etc. These are used by the workflow to auto-tag emails based on intent. Create a Google Sheet with 2 Tabs • Name the sheet something like “N8N - Emails”. • Add two sheets/tabs inside: • Sheet1 → stores all processed emails • Sheet2 → stores only the latest batch for digest view • In both sheets, add these columns (first row): From | Summary | Intent | Category | TimeStamp | Urgency Import the Workflow: Upload or paste the .json file into your n8n instance. Make sure each node is linked to your active credentials. Configure Slack Channel: In the Slack node, select the channel where you want urgent alerts and digest summaries to be posted. Adjust Schedule (Optional): Default: runs every hour. You can tweak this to suit your preference (e.g., every 30 min or 2 hours). Run a Test: Execute manually once to check: • Emails are getting processed • Labels are added correctly in Gmail • Slack notifications are triggered • Data is logged in Google Sheets Turn It On • Once everything looks good, activate the workflow. • Your inbox will now be triaged in real-time — sorted, labeled, summarized. Step-by-Step Breakdown: ⏰ Schedule Trigger: Runs every hour to kick off the workflow automatically. 📩 Fetch Emails & Labels • Pulls all Gmail messages received in the last 4 hours. • Also fetches Gmail labels to use for tagging messages based on intent. 🤖 Analyze with GPT-4 • Each email is analyzed using GPT-4. • Output includes: • Summary • Urgency: High, Medium, Low • Intent: To Respond, Awaiting Reply, Marketing, Notification, etc. • Category: Customer, Investor, Spam, etc. Classify and Label • Emails are tagged with the right intent label inside Gmail. 5.🚨 Slack Alerts for High Urgency • If an email is marked High Urgency, it sends an alert to a designated Slack channel with all key details. 📊 Google Sheets Logging • All emails are logged to two Google Sheets: • Sheet1: All messages, for long-term record. • Sheet2: Temporary sheet to collect latest batch for digest. ⏳ Wait + Digest Preparation • After logging, the workflow waits 30 seconds. • It then fetches recent entries from Sheet2, filters out older messages, and groups them by Medium and Low urgency. 📬 Slack Digest Summary • A clean digest is posted on Slack showing only the Medium and Low urgency messages from the past hour — helping you catch up without inbox overload. Uses a System Prompt to define its role as an AI Chief of Staff. Uses a User Prompt that instructs GPT-4 to analyze each email and return a structured JSON with the following: • summary – One-line summary of the email • urgency – High / Medium / Low • category – Investor, Customer, Support, Spam, Other • Intent – One of: • To Respond: Needs your reply • Awaiting Reply: You’re waiting for a response • Notification: Auto-updates from tools or services • Meeting Update: Calendar or schedule changes • Marketing: Promotional or cold emails • FYI: Informational emails that don’t need action The output is clean JSON with built-in guardrails to avoid hallucinations or irrelevant content. Only real message data is used for summaries and classification. Sections with no relevant data are omitted to keep it concise. 🧩 What’s Next This agent already cuts through inbox noise and gives you clarity — but there’s more you can build on top: 💡 Suggestions to Improve: • Train on your past threads to make prioritization even smarter • Allow custom rules per sender or domain (e.g. always mark investor emails as High) • Add emoji tags or reactions in Slack to quickly mark emails as done or follow-up • Support voice summary via Slack audio snippet or Loom integration 🚀 Next Features You Could Add: • Reply-from-Slack: One-click smart reply suggestions that can be sent right from Slack • Cross-inbox support: Add Outlook or multiple Gmail accounts • Weekend Digest: A weekly email or Slack drop with trends (top senders, most flagged categories) • Daily Timeline View: Generate a Notion page that logs the day’s most critical communication

Automate Freelance Project Intake with Custom Proposals using Jotform & Gemini

Workflow explaination: https://youtu.be/ecafBTFPuvE?si=7csA1yNsaUxUG72F This workflow is designed to automatically handle new freelance project requests from a JotForm, analyze the requirements using AI, create a custom proposal, log the details in a Google Sheet, and send a personalized response to the client. JotForm Trigger Purpose**: This node is the entry point of the entire automation. It waits for a new freelance project submission from your specified JotForm. Action: When a potential client fills out and submits the form, this node **instantly triggers the workflow, passing all submitted data (name, email, project requirements, and budget) to the next node. Key Detail**: Uses a webhook for real-time activation, ensuring immediate processing of every new project request. AI Agent Purpose**: The central brain of your freelance workflow. 🧠 It takes the project submission and turns it into a structured, customized proposal. Action**: The agent follows a prompt sequence to perform these tasks: Calls the My Freelance Document Tool: Fetches your Google Doc containing details about your services, pricing, and project templates — your “source of truth.” Analyzes the Project Request: Reads the client’s requirements and goals from the form. Generates a Custom Proposal: Based on scope, budget, and relevance to your offerings, it prepares a short, tailored proposal or quote that fits the project. Creates a Personalized Email: Builds an HTML email with the proposal embedded, including next steps or a scheduling link for further discussion. Outputs Structured Data: Packages everything (project summary, proposal text, email subject, and body) into a clean JSON object for downstream use. Append or Update Row in Sheet (Google Sheets) Purpose**: Serves as your lightweight CRM for all project inquiries. Action**: Logs data from the AI Agent (proposal details, client info, and project summary) into a Google Sheet. Key Detail: Configured to **Append or Update—if an email already exists, it updates that row instead of duplicating. Keeps your client records clean and organized. If Purpose**: Acts as a control node to decide whether a proposal email should be sent. Action**: Checks the output from the AI Agent to ensure the proposal text is valid (not empty). Key Detail**: If the proposal generation fails or returns “NAN,” the workflow stops here to avoid sending incomplete responses. Send a Message (Gmail) Purpose**: Sends the final personalized proposal email to the client. Action: Pulls the recipient’s email from the sheet and sends the **AI-generated subject and HTML proposal email automatically. Key Detail**: The email is customized per project, giving the client an instant, professional response with no manual effort.

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Automate Customer Support with Gmail, Google Sheets, ERP Data & GPT-4o AI

🌐 AI Customer Support Assistant - Cloud Version What this workflow does: This AI-powered customer support automation processes incoming support requests via email or chat, analyzes them using AI, retrieves relevant context, and generates draft responses for support agents. Key Features: ✅ Multi-channel Input: Email & chat triggers ✅ AI-powered Analysis: Extracts sentiment, urgency, and key information ✅ Context Integration: Combines product manuals, ERP data, and support history ✅ Draft Response Generation: Creates professional responses in German ✅ Human-in-the-loop: Approval workflow before sending to customers Demo Instructions: Use the Chat interface to test with sample customer queries Or send test emails to trigger the email workflow Watch how AI analyzes and generates contextual responses

TradingView Signal Extractor with Gmail, Google Sheets & Telegram Notifications

Stay ahead in your trading game with this powerful n8n automation workflow. Designed for real-time efficiency, this setup continuously scans your Gmail inbox for trading alerts from TradingView and ensures you never miss a signal. Every minute, this workflow will: 📩 Check Gmail for new messages using a trigger. 🔍 Identify emails coming specifically from TradingView. 📊 Extract key trading signals like BUY or SELL along with the company name. 🕒 Capture the exact date and time of the alert. 📄 Log all extracted signals neatly into a Google Sheet for easy tracking and analysis. 📲 Instantly notify you on Telegram with a custom message so you can act fast. Perfect for traders who want an automated assistant to handle alerts, record them for analysis, and provide timely updates — all without lifting a finger.

Extract data from Gmail attachments to Google Sheets using DocuPipe

Who is this for? Teams that receive documents via email (invoices, receipts, contracts) and want structured data automatically extracted and added to a spreadsheet - without manual data entry. What it does This template contains two connected flows: Scenario 1 - Upload: Watches Gmail for new emails with attachments, labels them as "Processing", uploads the attachment to DocuPipe for AI-powered extraction, and saves a backup copy to Google Drive. Scenario 2 - Process & Save: When DocuPipe finishes extracting, the webhook fires, results are fetched, processed into a flat row format, enriched with metadata (document name, timestamp), and appended as a new row in your Google Sheet. How to set up Install the DocuPipe community node via Settings > Community Nodes Connect your Gmail account Create a Gmail label called "DocuPipe - Processing" (or customize the label name) Sign up at docupipe.ai, then get your DocuPipe API key at app.docupipe.ai/settings/general Select an extraction schema in the Upload node Connect your Google Drive account and select a backup folder Connect your Google Sheets account and select your spreadsheet Ensure your sheet's column headers match the schema field names Activate the workflow Requirements A DocuPipe account with an API key A Gmail account A Google Drive folder for backups A Google Sheets spreadsheet Self-hosted n8n (required for community nodes) Note: Requires the DocuPipe community node. Install via Settings > Community Nodes. Categories: Productivity, Data & Storag

Automate end-to-end hiring with Keka, Google Sheets, Gmail and GPT-4

Complete End-to-End Process Description 🔹 Phase 1: Application Collection & Initial Notification The process begins when candidates apply for active job openings. All applications are automatically collected and stored in the Master Recruitment Sheet. This sheet acts as the operational control center for the entire hiring process. Each candidate record includes job details, assigned recruiter information, and tracking fields required for interview and decision management. Once new applications are stored, the system notifies the respective recruiters. The notification is grouped by job role to avoid multiple emails. Recruiters are informed that new candidates are ready for screening and are directed to review them inside the Master Recruitment Sheet. At this stage, no automated decision is made. The recruiter manually reviews candidates, evaluates eligibility criteria, may call them for preliminary screening, and then enters remarks directly into the sheet. These remarks represent the recruiter’s qualitative feedback. 🔹 Phase 2: AI-Based Screening Recommendation After recruiters enter their screening remarks, the system uses AI to analyze the feedback. The AI interprets whether the recruiter’s remarks indicate a positive or negative outcome. Based on the interpretation: If the response is negative, the candidate is marked as rejected. If the response is positive, the candidate is marked as shortlisted. The result is shared with the recruiter so they are aware of how the system interpreted the remarks. However, the recruiter remains in control and can override or confirm the decision if needed. For candidates marked as rejected at this stage, rejection communication is handled appropriately and the candidate is moved into a closed state. For shortlisted candidates, the process proceeds to the AI interview stage. 🔹 Phase 3: AI Interview Invitation Shortlisted candidates are automatically invited to complete an AI interview. The system triggers the AI interview platform and records that the candidate has been invited. Recruiters are notified that AI interview invitations have been sent. The Master Recruitment Sheet is updated to reflect the interview status, ensuring full visibility. The system then monitors whether the AI interview has been completed. No further movement occurs until completion is confirmed. 🔹 Phase 4: AI Interview Completion & Score-Based Recommendation Once a candidate completes the AI interview, the system retrieves the interview score and performance metrics. Based on predefined scoring logic, the system generates a recommendation: If the score is strong, the candidate is recommended as shortlisted. If the score is weak, the candidate is recommended as rejected. However, this is only a recommendation. The final decision is not made automatically. The recruiter is shown the score and system-generated recommendation. The candidate’s status is moved to an approval stage, awaiting recruiter confirmation. This ensures that automation supports decision-making but does not replace human authority. 🔹 Phase 5: Recruiter Approval After AI Interview Recruiters review the AI interview results and update the Master Recruitment Sheet with their final decision: Approved or Rejected. Once updated: Approved candidates proceed to the next interview round. Rejected candidates are closed and handled through rejection communication. The system sends a summary notification to the recruiter indicating how many candidates were approved and how many were rejected in that approval cycle. This provides visibility and ensures structured progression. For approved candidates, the system now transitions to scheduling the next interview round. 🔹 Phase 6: Technical Interview Scheduling When candidates are approved for the technical round, the recruiter prepares the interview details manually. The recruiter creates the meeting link and fills in the date, time, and interviewer details directly in the Master Recruitment Sheet. The system continuously monitors for candidates whose interview details have been added but whose invitation has not yet been sent. Once details are available: An interview invitation email is sent to the candidate. A corresponding email is sent to the interviewer. The recruiter is included for visibility. After sending the invitations, the sheet is updated to mark that the interview invitation has been sent. This prevents duplicate invitations. 🔹 Phase 7: Technical Interview Feedback & Progression After the technical interview is conducted, feedback is entered into Keka. The system retrieves the interview feedback and identifies the final decision for that round. If the decision is rejected, the candidate is immediately marked as rejected and moved to a closed state. If the decision is positive, the candidate progresses to the next round (HR round). The Master Recruitment Sheet is updated accordingly. This progression process is automatic but strictly based on the interviewer’s decision recorded in Keka. 🔹 Phase 8: HR Round & Leadership Connect (Continuous Loop) The same structured process continues for: HR Discussion Leadership Connect For each round: The recruiter adds scheduling details in the sheet. The system sends invitations. Interview is conducted. Feedback is entered in Keka. The system retrieves feedback. The candidate is either rejected or moved forward. This creates a continuous loop across multiple interview stages without manual coordination effort. 🔹 Phase 9: Final Hiring Decision Logic Once the Leadership Connect round is completed, the system evaluates all rounds collectively. If the candidate has received a positive outcome in: Technical Round HR Round Leadership Connect Then the candidate is marked as Hired. If the candidate is rejected in any round, the process ends immediately, and the candidate is marked as Rejected. This ensures hiring decisions are consistent and aligned with interview outcomes across all stages. 🔹 Phase 10: Hiring Closure & Onboarding Notification When a candidate is marked as hired, the system sends a follow-up notification to the recruiter indicating that the hiring process is completed and onboarding steps should begin. The candidate’s status is then marked as closed in the recruitment system. This signifies the end of the recruitment lifecycle for that candidate. 🔄 Continuous Pipeline Behavior The entire system operates as a structured pipeline: Application → Manual Screening → AI Recommendation → Recruiter Approval → Technical Round → HR Round → Leadership Round → Final Decision → Closure At every stage: Recruiter retains final authority. Automation ensures nothing is missed. Notifications are structured and grouped. Status transitions are controlled and recorded. 🎯 Final Outcome This automation creates a disciplined, multi-stage recruitment engine that: Reduces recruiter workload Ensures structured stage progression Prevents premature decisions Combines AI assistance with human authority Automates interview coordination Maintains full transparency in the Master Recruitment Sheet Eliminates manual tracking errors It transforms recruitment from a manually coordinated process into a controlled, scalable, and fully traceable system.

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Send AI pre-op reminders with Google Calendar, Gmail, Sheets, Slack and GPT-4o

📘 Description This workflow automates end-to-end pre-surgery checklist reminders and confirmation tracking for healthcare operations teams. It ensures patients receive timely preparation instructions, can confirm completion with a single click, and allows staff to monitor confirmation status in real time—without manual coordination. Every day at 9:00 AM, the workflow fetches surgery events from Google Calendar, extracts patient details from event descriptions, and generates a unique confirmation link for each patient. An AI assistant then creates a personalized, patient-friendly pre-op checklist email (subject + styled HTML body) that includes surgery details and a confirmation button. When a patient clicks the confirmation link, a webhook captures the confirmation, updates Google Sheets as the source of truth, and records the timestamp. A separate periodic scheduler scans the sheet for patients who have not confirmed within the expected window. If confirmation is missing, the assigned nurse or owner is alerted in Slack with full patient and surgery context for immediate follow-up. This creates a closed-loop system: reminder → confirmation capture → tracking → escalation. ⚙️ What This Workflow Does (Step-by-Step) ▶️ Daily 9:00 AM Trigger Starts the pre-op reminder cycle automatically each morning. 📅 Fetch Today’s Surgery Events (Google Calendar) Pulls calendar events and filters only surgery-related entries. 🧾 Extract Patient Details from Event Description Parses patient name, email, phone, ID, procedure, and surgery time. 🔗 Generate Unique Confirmation Link Creates a secure confirmUrl per patient with tracking parameters. ✉️ AI Email Generation (Subject + HTML Body) Uses Azure OpenAI (gpt-4o) to generate a calm, professional checklist email with: Surgery details Basic preparation checklist Green confirmation button linked to confirmUrl 📤 Send Pre-Op Reminder via Gmail Delivers the styled HTML email directly to the patient. ✅ Confirmation Webhook (GET /confirm) Captures patient clicks, parses query parameters, and marks the checklist as confirmed. 🧾 Upsert Confirmation Status (Google Sheets) Stores and updates patient confirmation records as the operational source of truth. ⏳ Periodic Confirmation Check Runs on a schedule to scan all patient rows for missing confirmations. 🚨 Slack Alert for Missing Confirmations Notifies the nurse or owner with full patient context when confirmation is not received in time. 🧩 Prerequisites • Google Calendar OAuth2 • Gmail OAuth2 • Azure OpenAI (gpt-4o) credentials • Google Sheets OAuth2 • Slack API credentials • Publicly accessible webhook URL for confirmation tracking 💡 Key Benefits ✔ Automated pre-op reminders at a fixed daily time ✔ Personalized AI-generated patient emails ✔ One-click confirmation tracking ✔ Google Sheets audit trail for operations ✔ Proactive Slack alerts for missing confirmations ✔ Reduced manual follow-ups and missed preparations 👥 Perfect For Hospitals and surgical centers Clinic operations teams Care coordinators Day-surgery facilities Healthcare admin automation systems

Automated Sales Follow-Up System Using HighLevel, Gmail, Slack & Google Sheets

📘 Description: This workflow automates sales contact follow-ups and engagement tracking by integrating HighLevel CRM, Gmail, Slack, and Google Sheets. It fetches all contacts from HighLevel, filters inactive contacts, sends personalized follow-up emails, checks for responses, and notifies the sales team accordingly. It eliminates manual follow-up tracking, ensures timely outreach, and provides real-time notifications — helping sales teams maintain engagement, respond promptly, and improve lead conversion. ⚙️ What This Workflow Does (Step-by-Step) 🟢 Manual Trigger – Starts the automation manually Action: Initiates the workflow for immediate follow-up execution or testing. 📦 Fetch Contacts from HighLevel CRM Action: Retrieves all contacts from HighLevel, including names, emails, and metadata for full visibility. 🔍 Validate Deal Fetch Success (IF Node) Action: Verifies that fetched contacts contain valid IDs. ✅ True Path: Continues to filter inactive contacts. ❌ False Path: Logs invalid or missing contacts to Google Sheets for auditing and troubleshooting. 🧹 Filter Contacts with No Response Action: Selects contacts who have not replied in the last 24 hours, ensuring follow-ups target only inactive leads. 📊 Get Most Recent Contact Action: Retrieves the latest contact based on last updated time and calculates hours since last interaction. 📧 Send Follow-Up Email to Contact Action: Sends a personalized email to the contact, asking for confirmation or questions and including dynamic details like name and last interaction time. ⏳ Wait for 24 Hours Before Next Action Action: Pauses the workflow for 24 hours to allow contacts sufficient time to respond. 📨 Retrieve Email Thread for Response Action: Fetches the most recent Gmail thread using the thread ID to check if the contact has replied. ✅ Check If Contact Responded with “Yes” (IF Node) Action: Evaluates if the response contains the word “yes”. ✅ True Path: Triggers Slack notification for positive response. ❌ False Path: Triggers Slack notification for no response. 💬 Notify Sales Team in Slack if Response Received Action: Sends a Slack message notifying the team of a positive reply, including contact details and response snippet. ⚠️ Notify Sales Team in Slack if No Response Action: Sends a Slack message notifying the team that the contact hasn’t replied, including contact info, follow-up timestamp, and waiting status. 🚨 Log Fetch or Validation Errors (Error Handling) Action: Records any fetch or validation errors in Google Sheets for easy review and troubleshooting. 🧩 Prerequisites HighLevel CRM API OAuth credentials Gmail OAuth2 credentials for sending and fetching emails Google Sheets document for error logging Slack API credentials for notifications 💡 Key Benefits ✅ Fully automated follow-up workflow for sales contacts ✅ Timely notifications for positive and inactive responses ✅ Personalized emails to contacts ✅ Transparent tracking and logging of errors ✅ Seamless integration across HighLevel, Gmail, Slack, and Google Sheets 👥 Perfect For Sales teams managing multiple leads Marketing teams ensuring lead engagement Startups scaling outreach efforts Organizations using HighLevel CRM + Gmail + Slack for sales follow-ups

Gmail and Google Sheets integration

How to connect Gmail and Google Sheets

Step 1: Create a new workflow and add the first step

Step 2: Add and configure Gmail and Google Sheets nodes

Step 3: Connect Gmail and Google Sheets

Step 4: Customize and extend your Gmail and Google Sheets integration

Step 5: Test and activate your Gmail and Google Sheets workflow

AI-generated LinkedIn posts with OpenAI, Google Sheets & email approval workflow

Popular Gmail and Google Sheets workflows