HTTP Request and Notion integration

One-way sync between Telegram, Notion, Google Drive, and Google Sheets Who is this for? This workflow is perfect for productivity-focused teams, remote workers, virtual assistants, and digital knowledge managers who receive documents, images, or notes through Telegram and want to automatically organize and store them in Notion, Google Drive, and Google Sheets—without any manual work. What problem is this workflow solving? Managing Telegram messages and media manually across different tools like Notion, Drive, and Sheets can be tedious. This workflow automates the classification and storage of incoming Telegram content, whether it’s a text note, an image, or a document. It saves time, reduces human error, and ensures that media is stored in the right place with metadata tracking. What this workflow does Triggers on a new Telegram message** using the Telegram Trigger node. Classifies the message type** using a Switch node: Text messages are appended to a Notion block. Images are converted to base64, uploaded to imgbb, and then added to Notion as toggle-image blocks. Documents are downloaded, uploaded to Google Drive, and the metadata is logged in Google Sheets. Sends a completion confirmation** back to the original Telegram chat. Setup Telegram Bot: Set up a bot and get the API token. Notion Integration: Share access to your target Notion page/block. Use the Notion API credentials and block ID where content should be appended. Google Drive & Sheets: Connect the relevant accounts. Select the destination folder and spreadsheet. imgbb API: Obtain a free API key from imgbb. Replace placeholder credential IDs and asset URLs as needed in the imported workflow. How to customize this workflow to your needs Change Storage Locations**: Update the Notion block ID or Google Drive folder ID. Switch Google Sheet to log in a different file or sheet. Add More Filters**: Use additional Switch rules to handle other Telegram message types (like videos or voice messages). Modify Response Message**: Personalize the Telegram confirmation text based on the file type or sender. Use a different image hosting service** if you don’t want to use imgbb.

🔐 Advanced SSL Health Monitor 👤 Who is this for? This workflow is designed for DevOps engineers, IT administrators, and security professionals who need comprehensive SSL certificate monitoring and health assessment across multiple domains — featuring dual verification and professional reporting without relying on expensive monitoring services. 🧩 What It Does Daily Trigger runs the workflow every morning for proactive monitoring. URL Collection fetches the list of website URLs to monitor from your data source. Dual SSL Analysis: Free SSL Assessment Script — Get from sysadmin-toolkit on Github SSL-Checker.io API — External verification for cross-validation Comprehensive Health Check: Certificate expiration monitoring (customizable threshold) SSL configuration security assessment Protocol support analysis (TLS 1.3, 1.2, deprecated protocols) Cipher suite strength evaluation Vulnerability scanning (POODLE, BEAST, etc.) Compliance checking (PCI DSS, NIST, FIPS) Smart Alert System sends Discord notifications when: Certificates expire within threshold (default: 30 days) SSL configuration issues detected (weak ciphers, deprecated protocols) Security vulnerabilities found Compliance standards not met Grade drops below acceptable level (configurable) 🎯 Key Features 🔄 Dual Verification**: Cross-checks results between internal scanner and external API 📊 SSL Labs-Style Grading**: A+ to F rating system with detailed analysis 🛡️ Security Assessment**: Vulnerability detection and compliance checking 📱 Discord Integration**: Rich embed notifications with color-coded alerts ⚙️ Setup Instructions Data Source: Configure your URL source from Notion Ensure it contains a URL column with domains to monitor Credentials: Set up Discord webhook for alert notifications Configure any required API credentials for data sources Customize Thresholds: Expiration Alert: Days before expiry (default: 30 days) Grade Threshold: Minimum acceptable SSL grade (default: B) Alert Severity: Choose which issues trigger notifications Advanced Configuration: Modify vulnerability checks based on your security requirements Adjust compliance standards for your industry needs Customize Discord message formatting and alert channels 🧠 Technical Notes Dual-Check Reliability**: Combines custom Bubobot scanner with ssl-checker.io for maximum accuracy No Vendor Lock-in**: Uses free public APIs and open-source tools Professional Reporting**: Generates SSL Labs-quality assessments Security-First Approach**: Comprehensive vulnerability and compliance checking Flexible Alerting**: Discord integration with rich formatting and conditional logic This workflow provide a comprehensive SSL security monitoring solution that rivals enterprise-grade tools while remaining completely open-source and free.

This n8n template demonstrates how to use AI to score the all Resumes by matching it with Job profile Problem Statement: A Hr person is flooded with resume and spends hours manually checking each to find most suitable ones. How it works It is linked to Gmail Trigger which upon receving any mail with specific subject will check for the attachment. Attachment will be parsed to understand the resume Candidate informtion will be broken into Personal, Eductional and Professional type Job profile will be pulled from Notion Board A HR expert powered by Gemini LLM will score each profile on basis on its relevancy Information will be updated back to Gsheet Message lable will be updated back for clarity How to use The gmail trigger node is used as an example but feel free to replace this with other triggers such as webhook or even a form. Requirements Gemini account for LLM Google sheet for upload Gmail as trigger Llama parse credentials

Who is this for? Public-facing professionals (developer advocates, founders, marketers, content creators) who get bombarded with LinkedIn messages that aren't actually for them - support requests when you're in marketing, sales inquiries when you're a devrel, partnership pitches when you handle content, etc. What problem is this workflow solving? When you're visible online, people assume you handle everything at your company. You end up spending hours daily playing human router, forwarding messages like "How do I reset my password?" or "What's your enterprise pricing?" to the right teams. This LinkedIn automation workflow stops you from being your company's unofficial customer service representative. What this workflow does This AI-powered LinkedIn DM management workflow automatically assesses incoming LinkedIn messages and routes them intelligently: Automated Message Assessment: Receives inbound LinkedIn messages via UniPile and looks up sender details from both personal and company LinkedIn profiles. Smart Route Matching: Compares the message content against your message routing workflow table in Notion, which contains: Question: "How can I become an n8n ambassador?" Description: "Route here when a user is requesting to become an n8n ambassador. Also when they're asking how they could do more to evangelize n8n in their city, or to start organizing n8n meetups and events in their city." Action: "Tell the user to open the following notion page which has details on ambassador program including how to apply, as well as perks of the program: https://www.notion.so/n8n-Ambassador-Program-d883b2a130e5448faedbebe5139187ea?pvs=21" AI Response Generation: When a message matches an existing route, this AI assistant generates a personalized response draft based on the "Action" instructions from your routing table. Human-in-the-Loop Approval: Sends the draft response to Slack with approve/reject buttons, so you maintain control while saving time. Draft can be edited from within Slack on desktop and mobile. Automated LinkedIn Responses: Once approved, sends the reply back via LinkedIn and marks the original message as handled. The result: You stop being a human switchboard and can focus on your actual job while people still get helpful, timely responses through automated customer service. You can also add routes for things you do handle but get asked about daily (like 'How do I join your beta?' or 'What's your content strategy?') to standardize your responses. Setup Sign up for a UniPile account and create a webhook under the Messaging section Set the callback URL to this workflow's production URL Generate a UniPile API key with all required scopes and store it in your n8n credentials Create a Slack app and enable interactive message buttons and webhooks Here is a slack App manifest template for easy deployment in slack: { "display_information": { "name": "Request Router", "description": "A bot that alerts when a new linkedin question comes in.", "background_color": "#12575e" }, "features": { "bot_user": { "display_name": "Request Router", "always_online": false } }, "oauth_config": { "scopes": { "bot": [ "chat:write", "chat:write.customize", "chat:write.public", "links:write", "im:history", "im:read", "im:write" ] } }, "settings": { "interactivity": { "is_enabled": true, "request_url": "Your webhook url here" }, "org_deploy_enabled": false, "socket_mode_enabled": false, "token_rotation_enabled": false } } Set up your Notion database with the three-column structure (Question, Description, Action) Configure the AI node with your preferred provider (OpenAI, Gemini, Ollama etc) Replace placeholder LinkedIn user and organization IDs with your own How to customize this workflow to your needs Database Options**: Swap Notion with Google Sheets, Airtable, or another database Filtering Logic**: Add custom filters based on keywords, message length, follower count, or business logic AI Customization**: Adjust the system prompt to match your brand tone and response goals Approval Platform**: Replace Slack with email, Discord, or another review platform Team Routing**: Use Slack metadata to route approvals to specific team members based on message category Enrichment**: Add secondary data enrichment using tools like Clearbit or FullContact Response Rules**: Create conditional logic for different response types based on sender profile or message content Perfect for anyone who's tired of being their company's accidental customer service department while trying to do their real job. This LinkedIn automation template was inspired by a live build done by Max Tkacz and Angel Menendez for The Studio.

Twitter Thread (Flood) Translator & Poster What it does Thread Extraction:** Automatically detects and extracts all tweets from a provided Twitter thread (flood) link. Translation:** Translates each extracted tweet into your target language using OpenAI. Rewriting:** Rewrites each translated tweet to maintain the original meaning while improving clarity or style. Automated Posting:** Posts the rewritten tweets as a new thread on Twitter using twitterapi.io, preserving the original thread structure. How it works Accepts a Twitter thread (flood) link as input. Extracts all tweets from the thread in their original order. Each tweet is sent to OpenAI for translation into your desired language. The translated tweets are then rewritten for clarity and natural flow, while keeping the original meaning intact. The processed tweets are automatically posted as a new thread on your Twitter account via twitterapi.io. Setup Steps Create a Notion Database: Set up a database page in Notion to store and manage your Twitter links and workflow data. Configure Notion Integration: Add the created database page ID to the Notion nodes in your workflow. Set Twitter API Credentials: Add your twitterapi.io API key to the relevant nodes. Add Twitter Account Details: Enter your Twitter account username/email and password for authentication. Set Up OpenAI Credentials: Provide your OpenAI API credentials to enable translation and rewriting. Subworkflow Integration: Create a separate workflow for subworkflow logic and call it using the Execute Workflow node for modular automation. Set Desired Language & Thread Link: Change the target language and Twitter thread (flood) link directly in the Manual Trigger node to customize each run. Benefits Ultra Low Cost:* Total cost for a 15-tweet thread (flood) is just $0.016 USD ($0.015 for twitterapi.io + $0.001 for OpenAI API). *(Actual cost may vary depending on the density of tweets in the thread.) End-to-End Automation:** Go from thread extraction to translation, rewriting, and reposting-all in one workflow. Multilingual Support:** Effortlessly translate and republish Twitter threads in any supported language. > Note: Detailed configuration instructions and node explanations are included as sticky notes within the workflow canvas. Ideal for: Content creators looking to reach new audiences by translating and republishing Twitter threads Social media managers automating multilingual content workflows Anyone wanting to streamline the process of thread extraction, translation, and posting Notes This workflow is not able to post images or videos to Twitter-it handles text-only threads.

🚀 AI Blog & Social Media Publisher – Fully Automated Workflow This workflow is ideal for individuals, marketers, agencies, and brands who want to effortlessly automate the entire blogging and social media process—from idea generation to promotion. Its primary goal is to consistently deliver engaging, SEO-optimized blog posts directly to WordPress, accompanied by professionally crafted social media content ready for Instagram, Facebook, and X (Twitter). No writers, editors, designers, or social media managers required. Save countless hours and resources while boosting your brand's online presence. 🔧 Workflow Capabilities: -Automated Blog Topic Generation: Instantly generates unique, high-value blog ideas tailored to your brand. -SEO Content Creation: Produces comprehensive, 2000–2500 word articles optimized for search engines. -Real-Time Research: Integrates Perplexity AI to ensure factually accurate, authoritative content. -Visual Content Generation: Creates custom, AI-generated featured images via GPT-4, with automatic fallback to Pexels. -WordPress Publishing: Automatically publishes articles directly to WordPress with complete formatting (HTML), meta descriptions, featured images, and proper categorization. -Social Media Automation: Generates and schedules engaging, platform-specific posts for Instagram, Facebook, and X, complete with relevant hashtags, calls-to-action, and links. -Detailed Logging & Reporting: Logs every step transparently into Google Sheets and optionally sends publication reports to Gmail. ⚙️ How It Works: When activated, the workflow checks your content calendar in Google Sheets to avoid duplicate topics. It generates fresh, brand-aligned blog ideas, conducts live research, and creates complete, ready-to-publish articles. It then automatically designs and sources appropriate visuals, publishes content seamlessly to WordPress, and prepares engaging social media posts optimized for each platform. 🛠️ Easy Setup Steps: -Connect your APIs: OpenAI, WordPress, Google Sheets, Gmail, and optionally Pexels. -Replace placeholders (WordPress URLs, Google Sheets ID/tab, workflow IDs). -Customize AI prompts with your brand’s tone, keywords, and CTAs for personalized content. -Configure scheduling to automate daily, weekly, or custom publishing intervals. 📌 Additional Features: -Modular workflow design for easy customization and scalability. -Comprehensive Markdown and PDF setup guides included. -Bonus: Reference placeholders and quick-edit Sticky Notes for effortless adjustments. Launch today. Automate permanently. Amplify your reach effortlessly.

AI Blog Publisher – Automated Blog Content Workflow This workflow is designed for individuals and teams who regularly publish content on their blog and want to automate the entire process from start to finish. Its main goal is to generate long-form, SEO-optimized blog posts and publish them directly to WordPress — without needing a copywriter, editor, or someone to handle CMS uploads. The workflow generates a topic, writes a full article based on your brand guidelines, pulls a featured image from Pexels, publishes the post to WordPress, and logs the publication details to Google Sheets, creating a complete archive of published content. This allows users to deliver high-quality, search-optimized content every day while saving significant time. The whole process — from idea to publication — runs fully automatically and can be scheduled to execute without any manual input. It works just as well for solo creators as for marketing teams or agencies producing content at scale. How it works When triggered, the workflow generates a new blog post idea and checks your Google Sheet to see if the topic has already been published. If the topic is unique, it calls a sub-workflow that contains your brand’s writing style, tone, and blog goals. It then uses Perplexity AI to gather supporting research and context. Based on all this input, a complete 2000–2500 word article is generated in clean HTML, ready for WordPress. The workflow then searches Pexels for a relevant image and sets it as the featured image. Finally, it publishes the post to WordPress, including the proper title, meta description, and category. All relevant data — such as title, link, and publish date — is logged in your Google Sheet. How to set up To get this workflow running, all you need to do is connect the required APIs — OpenAI, WordPress, Google Sheets, and Pexels — and make a few basic adjustments. Replace the placeholder URLs in the HTTP request nodes with your actual WordPress address. In the Google Sheets nodes, add your own spreadsheet ID and tab name. In the node that fetches brand data, insert the workflow ID of your brand brief sub-workflow. You can also personalize the AI prompts by entering your blog name, company name, and a call-to-action to give the content a more tailored voice. Once that’s done, you can trigger the workflow manually or schedule it using the Schedule Trigger node.

Overview This template is ideal for photographers, graphic designers, and creative professionals who manage large volumes of visual assets. It is also perfect for Digital Asset Managers looking for a customizable, automated solution to organize files without manual tagging. What it does When a new image is uploaded to a designated "Inbox" folder in Google Drive, the workflow performs the following actions: AI Analysis**: Uses GPT-4o to analyze the image content, generating a description, extracting dominant colors, and determining the category (e.g., Portrait vs. Landscape). Safety Check**: Runs an AI-based NSFW filter. If inappropriate content is detected, the process stops, and a warning is sent to Slack. Smart Sorting**: Automatically moves the file into the correct subfolder based on its category. Contextual Tagging**: Generates specific tags (e.g., "smile, natural light" for portraits) and updates the file metadata. Archiving**: Creates a comprehensive entry in a Notion Database with the image link, tags, and description. Notification**: Sends a success alert to Slack with a summary of the archived asset. How to set up This workflow is designed to be plug-and-play using a central configuration node. Credentials: Connect your Google Drive, OpenAI, Notion, and Slack accounts in n8n. Set Variables: Open the node named "Workflow Configuration". Replace the placeholder IDs with your actual Folder IDs (for Inbox, Portraits, and Landscapes), Notion Database ID, and Slack Channel ID. Prepare Notion: Create a Database in Notion with the following properties: Category (Select) Description (Rich Text) Image URL (URL) Tags (Rich Text) Date (Date) Requirements n8n Version**: 1.0 or later. OpenAI API: Access to the **gpt-4o model is recommended for accurate vision analysis. Google Drive**: A specific folder structure (Inbox, Portraits, Landscapes). Notion**: A dedicated database for the portfolio. Slack**: A channel for notifications. How to customize Add Categories**: You can expand the "Category Router" (Switch node) to include more specific genres like "Architecture," "Macro," or "Street," and add corresponding paths. Adjust Prompts**: Modify the system prompts in the AI nodes to change the language of the output or the style of the generated tags. Change Output**: Connect to Airtable or Excel instead of Notion if you prefer a different database system.

📊 Description Automate your YouTube research workflow by extracting audio from any video, transcribing it with Whisper AI, and generating structured GEO (Goal–Execution–Outcome) summaries using GPT-4o-mini. 🎥🤖 This template transforms unstructured video content into actionable, searchable insights that are automatically stored in Notion with rich metadata. It’s ideal for creators, educators, analysts, and knowledge workers who want to convert long videos into concise, high-quality summaries without manual effort. Perfect for content indexing, research automation, and knowledge-base enrichment. 📚✨ 🔁 What This Template Does • Triggers on a schedule to continuously process new YouTube videos. ⏰ • Fetches video metadata (title, description, thumbnails, published date) via the YouTube API. 🎥 • Downloads audio using RapidAPI and prepares it for transcription. 🎧 • Transcribes audio into text using OpenAI Whisper. 📝 • Skips invalid entries when no transcript is generated. 🚫 • Merges the transcript with metadata for richer AI context. 🔗 • Uses GPT-4o-mini to generate Goal, Execution, Outcome, and Keywords via structured JSON. 🤖📊 • Parses the AI-generated JSON into Notion-friendly formats. 🔍 • Creates a Notion page with GEO sections, keywords, and video metadata. 📄🏷️ • Produces a fully searchable knowledge record for every processed video. 📚✨ ⭐ Key Benefits ✅ Converts long YouTube videos into concise, structured knowledge ✅ AI-powered GEO summaries improve comprehension and recall ✅ Zero manual transcription or note-taking — 100% automated ✅ Seamless Notion integration creates a powerful video knowledge base ✅ Works on autopilot with scheduled triggers ✅ Saves hours for educators, researchers, analysts, and content teams 🧩 Features YouTube API integration for metadata retrieval RapidAPI audio downloader OpenAI Whisper transcription GPT-4o-mini structured analysis through LangChain Memory buffer + structured JSON parser for consistent results Automatic Notion page creation Fail-safe transcript validation (IF node) Metadata + transcript merging for richer AI context GEO (Goal–Execution–Outcome) summarization workflow 🔐 Requirements YouTube OAuth2 credentials OpenAI API key (Whisper + GPT-4o-mini) Notion API integration token + database ID RapidAPI key for YouTube audio downloading n8n with LangChain nodes enabled 🎯 Target Audience YouTubers and content creators archiving their content Researchers and educators summarizing long videos Knowledge managers building searchable Notion databases Automation teams creating video intelligence workflows 🛠️ Step-by-Step Setup Instructions Add YouTube OAuth2, OpenAI, Notion, and RapidAPI credentials. 🔑 Replace the placeholder RapidAPI key in the “Get YouTube Audio” node. ⚙️ Update the Notion database ID where summaries should be stored. 📄 Configure the Schedule Trigger interval based on your needs. ⏰ Replace the hardcoded video ID (if present) with dynamic input or playlist logic. 🔗 Test with a sample video to verify transcription + AI + Notion output. ▶️ Enable the workflow to run automatically. 🚀

🧠 Overview Discover and analyze the most valuable community-built n8n workflows on GitHub. This automation searches public repositories, analyzes JSON workflows using AI, and saves a ranked report to Google Sheets — including summaries, use cases, difficulty, stars, node count, and repository links. ⚙️ How It Works Search GitHub Code API — queries for extension:json n8n and splits results Fetch & Parse — downloads each candidate file’s raw JSON and safely parses it Extract Metadata — detects AI-powered flows and collects key node information AI Analysis — evaluates the top N workflows (description, use case, difficulty) Merge Insights — combines AI analysis with GitHub data Save to Google Sheets — appends or updates by workflow name 🧩 Setup Instructions (5–10 min) Open Config node and set: search_query — e.g., "openai" extension:json n8n max_results — number of results to fetch (1–100) ai_analysis_top — number of workflows analyzed with AI SPREADSHEET_ID, SHEET_NAME — Google Sheets target Add GitHub PAT via HTTP Header Credential: Authorization: Bearer <YOUR_TOKEN> Connect OpenAI Credential to OpenAI Chat Model Connect Google Sheets (OAuth2) to Save to Google Sheets (Optional) Enable Schedule Trigger to run weekly for automatic updates > 💡 Tip: If you need to show literal brackets, use backticks like <example> (no HTML entities needed). 📚 Use Cases 1) Trend Tracking for AI Automations Goal:** Identify the fastest-growing AI-powered n8n workflows on GitHub. Output:** Sorted list by stars and AI detection, updated weekly. 2) Internal Workflow Benchmarking Goal:** Compare your organization’s workflows against top public examples. Output:** Difficulty, node count, and AI usage metrics in Google Sheets. 3) Market Research for Automation Agencies Goal:** Discover trending integrations and tool combinations (e.g., OpenAI + Slack). Output:** Data-driven insights for client projects and content planning. 🧪 Notes & Best Practices 🔐 No hardcoded secrets — use n8n Credentials 🧱 Works with self-hosted or cloud n8n 🧪 Start small (max_results = 10) before scaling 🧭 Use “AI Powered” + “Stars” columns in Sheets to identify top templates 🧩 Uses only Markdown sticky notes — no HTML formatting required 🔗 Resources GitHub (template JSON):** github-workflow-finder-ai.json

📘 Description This workflow automates the employee onboarding process by creating Jira accounts, generating Notion onboarding checklists, crafting AI-generated welcome messages, and sending personalized welcome emails — all automatically. It provides a complete hands-free onboarding experience for HR and IT teams by connecting Jira, Notion, Google Sheets, Gmail, and Azure OpenAI. Failures (like Jira account creation errors) are logged into Google Sheets to ensure full transparency and no missed onboardings. ⚙️ What This Workflow Does (Step-by-Step) 🟢 When Clicking “Execute Workflow” Manually triggers the entire onboarding automation. Useful for testing or initiating onboarding on demand for a new hire. 👤 Define New Hire Profile Data Structures all essential employee information into a clean dataset including name, email, start date, buddy, and access links (Slack, GitHub, Jira, Notion). Acts as the single source of truth for all downstream systems ensuring consistent, error-free onboarding data. 🎫 Create Jira User Account Automatically creates a Jira account for the new employee using REST API calls. Includes email, display name, username, and product access (Jira Software). Removes the need for manual admin setup and ensures immediate access to project boards. ✅ Validate Jira Account Creation Success: Checks if the Jira API response contains a valid accountId. If successful → continues onboarding. If failed → logs error to Google Sheets. Ensures downstream steps don’t continue if Jira setup fails. 📊 Log Jira Provisioning Failures to Error Sheet Appends any account creation errors (duplicate emails, invalid permissions, or API issues) into an “error log sheet” in Google Sheets. Helps HR/IT monitor issues and manually resolve them. Guarantees no silent onboarding failures. 📋 Generate Notion Onboarding Checklist Creates a personalized Notion page titled “{Name} - Onboarding Checklist” that includes: Welcome message Access links (Slack, GitHub, Jira) Assigned buddy details Start date and status Optionally, embedded videos or docs Gives each new hire a structured hub to manage onboarding tasks independently. 🤖 AI-Generated Welcome Message Creator Uses GPT-4o (Azure OpenAI) to craft a friendly, motivational welcome message for the new employee. Incorporates name, buddy, and access details with emojis and warm tone. Ensures every message feels human and engaging — not robotic. 🧠 GPT-4o Language Model Configuration Configures the AI assistant persona for personalized onboarding messages. Ensures tone consistency, friendliness, and empathy across all communications. 🔗 Consolidate Onboarding Data Streams Merges data from Jira, Notion, and AI message generation into a single payload. This ensures the final email contains every onboarding element — access links, checklist URL, and the AI-generated message. 📧 Format Comprehensive Welcome Email Generates a complete HTML-formatted email with: Personalized greeting AI-generated welcome message Clickable links (Jira, Notion, Slack, GitHub) Buddy info and start date Designed for mobile responsiveness and branded presentation. 📬 Send Welcome Email to New Hire Sends the final welcome email to the employee’s inbox with the subject: “Welcome to Techdome, {Name}! 🎉” Includes all essential access information, links, and team introductions — ensuring the new hire starts strong on Day 1. 🧩 Prerequisites Jira Admin API credentials Notion API integration Gmail OAuth2 credentials Azure OpenAI (GPT-4o) access Google Sheets document for logging errors 💡 Key Benefits ✅ Fully automated new hire onboarding ✅ AI-generated personalized communications ✅ Real-time error logging for IT transparency ✅ Seamless integration across Jira, Notion, and Gmail ✅ Professional first-day experience with zero manual work 👥 Perfect For HR teams managing multiple onboardings IT admins automating access provisioning Startups scaling employee onboarding Organizations using Jira + Notion + Gmail stack

Website Leads to Voice Demo and Scheduling Creator: Summer Chang AI Booking Agent Setup Guide Overview This automation turns your website into an active booking agent. When someone fills out your form, it automatically: Adds their information to Notion AI researches their business from their website Calls them immediately with a personalized pitch Updates Notion with call results Total setup time: 30-45 minutes What You Need Before starting, create accounts and gather these: n8n account (cloud or self-hosted) Notion account - Free plan works duplicate my notion template OpenRouter API key - Get from openrouter.ai Vapi account - Get from vapi.ai Create an AI assistant Set up a phone number Copy your API key, Assistant ID, and Phone Number ID How It Works The Complete Flow Visitor fills form on your website Form submission creates new record in Notion with Status = "New" Notion Trigger detects new record (checks every minute) Main Workflow executes: Fetches lead's website AI analyzes their business Updates Notion with analysis Makes Vapi call with personalized intro Call happens between your AI agent and the lead When call ends, Vapi sends webhook to n8n Webhook Workflow executes: Fetches call details from Vapi AI generates call summary Updates Notion with results and recording

LinkedIn Job Search Automation Creator: Summer Chang Setup Instructions This n8n workflow automatically searches for senior designer jobs on LinkedIn every day at 5am and saves them to a Notion database. Prerequisites n8n instance (cloud or self-hosted) Notion account with API access A Notion database set up to receive job listings Setup Steps ✅ 1. Create Your Notion Database Or duplicate my template ✅ 2. Connect Notion to n8n In the "Save to Notion" node, click on the Notion credentials Follow the authentication flow to connect your Notion account Select your job search database from the dropdown ✅ 3. Customize Your Search Criteria In the "Set Search Criteria" node, modify these parameters to match your job preferences: search_keywords: Job titles to search for (comma-separated) Default: senior product designer, product design lead, senior UX designer, AI designer excluded_keywords: Terms to filter out (comma-separated) Default: contract, freelance location: Where you want to work (comma-separated) Default: remote, san francisco f_TPR: Time filter for job postings r86400 = Last 24 hours r604800 = Last week r2592000 = Last month sortBy: How to sort results DD = Most recent first R = Most relevant first ✅ 4. Adjust the Schedule In the "Everyday @5am" node: Click on the node Modify the schedule to your preferred time You can set it to run daily, weekly, or at custom intervals ✅ 5. Set Result Limits In the "Limit1" node: Default: Processes 10 jobs per run Adjust the maxItems value to get more or fewer results ✅ 6. Configure Wait Time (Optional) The "Wait2" node adds a 10-second delay between requests to avoid rate limiting: Default: 10 seconds Increase if you're getting blocked by LinkedIn Decrease for faster processing (not recommended) How It Works Trigger: Runs automatically every day at 5am Search: Queries LinkedIn with your specified criteria Parse: Extracts job title, company, location, and URL from search results Filter: Removes any jobs with missing critical information Wait: Delays between requests to avoid rate limiting Fetch Details: Retrieves full job descriptions and poster information Save: Adds each job to your Notion database

Description Candidate Engagement | Resume Screening | AI Voice Interviews | Applicant Insights This intelligent n8n workflow automates the process of extracting and scoring resumes received through a company career page, populating a Notion database with AI insights where the recruiter or hiring manager can automatically invite the applicant to an instant interview with an Elevenlabs AI voice agent. After the agent conducts the behavior-based interview, the workflow scores the overall interview against customizable evaluation criteria and updates the Notion database with AI insights about the applicant. AI Powered Resume Screening & Voice AI that interviews like a Recruiter! AI Insights in Notion dashboard Who is this for? HR teams, recruiters, and talent acquisition professionals This workflow is ideal for HR teams, recruiters, and talent acquisition professionals looking for a foundational, extensible framework to automate early stage recruiting. Whether you're exploring AI for the first time or scaling automation across your hiring process, this template provides a base for screening, interviewing, and tracking candidates—powered entirely by n8n, Elevenlabs, Notion, and LLM integrations. Be sure to consult State and Country regulations with respect to AI Compliance, AI Bias Audits, AI Risk Assessment, and disclosure requirements. What problem is this workflow solving? Manually screening resumes and conducting initial interviews slows down hiring. This template automates: Resume assessment against job description. Scheduling first and second round interviews. First-round AI-led behavioral interviews with AI scoring assessment. Centralized tracking of AI assessments in Notion. What this does This customizable tool, configured to manage 3 requisitions in parallel, automates the application process, resume screen, and first round behavioral interviews. Pre-screen Applicants with AI Immediately screens and scores applicant’s resume against the job description. The AI Agent generates a score and an AI assessment, adding both to the applicant's profile in Notion. Notion automatically notifies hiring manager when a resume receives a score of 8 or higher. Voice AI that Interviews like a Recruiter AI Voice agent adapts probing questions based on applicant’s response and intelligently dives deeper into skill and experience to assess answers against a scoring rubric for each question. AI Applicant Insights in Notion Get detailed post-interview AI analysis, including interview recordings and question-by-question scoring breakdowns to help identify who you should advance to the next stage in the process. AI insight provided in Notion ATS dashboard with drag and drop to advance top candidates to the next interview stage. How it works Link to Notion Template Notion Career Page: Notion Career Page published to web, can be integrated with your preferred job board posting system. Notion Job Posting: Gateway for applicants to apply to active requisitions with ‘Click to Apply’ button. Application Form: N8N webform embedded into Notion job posting captures applicant information and routes for AI processing. AI Agent evaluates resume against job description AI Agent evaluates resume against the job description, stored in Notion, and scores the applicant on a scale of 1 to 10, providing rationale for score. Creates ATS record in Notion with assessment and score Workflow creates the applicant record in the Notion ATS where Recruiters and Hiring Managers see applicants in a filtered view, sorted by AI generated resume score. Users can automatically advance applicants to the next step in process (AI Conversation interview) with drag and drop functionality. Invites applicant to an Instant AI Interview Dragging the applicant to AI Interview step in the Notion ATS dashboard triggers Notion automation that sends the applicant an email with a link to the Elevenlabs Conversation AI Agent. The AI Conversation Agent is provided with instructions on how to conduct the behavior-based interview, including probing questions, for the specific role. AI Conversation Agent Behavior Based Interview The email link resolves to an ElevenLabs AI Conversation agent that has been instructed to interview applicants using pre-defined interview questions, scoring rubric, job description, and company profile. The Elevenlabs agent assesses the applicant on a scale of 1 to 5 for each interview question and provides an overall assessment of the interview based on established evaluation criteria. Click to hear AI Voice Agent in action Example: Role: IT Support Analyst Mark: Elevenlabs AI Agent instructed to interview applicants for specific role Gemini: Google AI coached to answer questions as an IT Support Analyst being interviewed Updates Notion record with Interview Assessment and Score All results—including the conversation transcript, interview scores, and rationale for assessment are automatically added back to the applicant’s profile in Notion where the Hiring Manager can validate the AI assessment by skimming through the embedded audio file. AI Interview Overall Score: 1 to 5 based on response to all questions and probes. AI Agent confirms that it was able to evaluate the interview using the assigned rubric. AI Interview Criteria Score: Success/Failure based on response to individual interview questions. Invites applicant to second interview with Hiring Manager Dragging the applicant to the ‘Hiring Manager Interview’ step in the Notion ATS dashboard triggers a Notion automation that sends an email with a link to the Hiring Manager’s calendar scheduling solution. Configuration and Set Up Accounts & API Keys You wil need accounts and credentials for: n8n (hosted or self-hosted) Elevenlabs (for AI Conversation Agent) Gemini (for LLM model access) Google Drive (to back up applicant data) Calendly (to automate interview scheduling) Gmail (to automate interview scheduling) Data / Documents to implement Job Descriptions for each role Interview questions for each role Evaluation criteria for each interview question Notion Set Up Customize your Notion Career Page Link to Free Notion Template that enables workflow: Update Notion job description database -update job description(s) for each role -add interview questions to the job description database page in Notion -add evaluation criteria to the job description database page in Notion -edit each ‘Click to Apply’ button in the job description template so it resolves to the corresponding N8N 'Application Form' webform production URL (detail provided below) Notion Applicant Tracker In the Applicant Tracker database, update position titles, tab headings, in the custom database view (Notion) so it reflects the title of the position you are posting. Edit the filter for each tab so it matches the position title. Notion Email Automation Update Notion automation templates used to invite applicants to the AI Interview and Hiring Manager interview. Note: Trigger email automation by dragging applicant profile to the next Applicant Comm Status in the Applicant Tracker. AI Interview invite template: revise position title to reflect the title of the role you are posting; include the link to your Conversation AI Agent for that role in the email body. Note: each unique role will use an Elevenlabs AI conversation agent designed for that role. Hiring Manager Interview invite template: revise position title to reflect the title of the role you are posting; include the link to your Calendly page or similar solution provider to automate interview scheduling. N8N Configuration Workflow 1 Application Forms (3 Nodes - one for each job) Update the N8N form title and description to match the job description you configured in Notion. Confirm Job Code in Applicant Form node matches Job Code in Notion for that position. Edit the Form Response to customize the message you want displayed after applicant clicks submit. Upload CV - Google Drive Authenticate your Google Drive account and select the folder that will be used to store resumes Get Job Description - Notion Authenticate your Notion account and select your Career Page from the list of databases that contain your job descriptions. Applicant Data Backup - Google Sheet Create a Google Sheet where you will track applicant data for AI Compliance reporting requirements. Open the node in n8n and use the field names in the node as Google Sheet column headings. Workflow 2 Elevenlabs Web Hook (Node 1) Edit the Web Hook POST node and copy your production URL that is displayed in the Node. This URL is entered into the Elevenlabs AI Conversation Agent post-call webhook described below. AI Agent Authenticate your LLM model (Gemini in this example) and add your Notion database as a tool to pull the evaluation_criteria hosted in Notion for the specific role. Extract Audio Create an Elevenlabs API key for your conversation agent and enter that key as a json header for the Extract Audio node Upload Audio to Drive - Google Drive Authenticate your Google Drive account and select the folder that will be used to store the audio file. Elevenlabs Configuration Create an Elevenlabs account Create Conversation AI Agent Add First Message and Systems Prompt: Design your ‘First Message’ and ‘Systems Prompt’ that guides the AI agent conducting the interview. Tool Tip: provide instruction that limits the number of probes per interview question. Knowledge Base: Upload your role specific interview questions and job description, using the same text that is stored in your Notion Career page for the role. You can also add a document about your company and instruct the Elevenlabs agent to answer questions about culture, strategy, and company growth. Analysis: Evaluation Criteria: Add your evaluation criteria, less than 2000 characters, for each interview question / competency. Analysis: Data Collection: Add the following elements, using the exact character string represented below. phone_number_AI_screen "capture applicant's phone number provided at the start of the conversation and share this as a string, integers only." full_name "capture applicant's full name provided at the start of the conversation." Advanced: Max Duration Set the max duration for interview in seconds. The AI Agent will timeout at the max duration. Conversation AI Widget: Customize your AI Conversation Agent landing page, including the position tile and company name. AI Conversation Agent URL: Copy the AI Conversation Agent URL and add it to your Notion email template triggered by the AI Interview email automation. Use a custom AI Agent URL for each distinct job description. Enable your Elevenlabs Post-Call Webhook for your Conversation Agent: Log into your Elevenlabs account and go to Conversational AI Settings and click on Post-Call Web Hook. This is where you enter the production URL from the N8N Web Hook node (Workflow 2). This sends the AI Voice Agent output to your n8n workflow which feeds back to your Notion dashboard.

This workflow automatically creates in-depth, SEO-friendly Arabic articles based on any keyword you provide. It researches the topic, generates a full article outline, writes every section in Arabic, and saves the final article directly to your Notion workspace—all in a few clicks. How It Works Step 1:** You submit a simple web form with your keyword and (optionally) an article title. Step 2:** The workflow researches the topic using advanced AI, gathers trending questions from Google, and creates a detailed, structured outline. Step 3:** Each section of the article is written in Arabic by AI, following best SEO practices and including real FAQs. Step 4:** The completed article is automatically formatted and saved to your Notion database, ready for review or publishing. Setup Instructions What you need:** An OpenAI API key (for AI-powered writing and outline generation) An OpenRouter API key (for research via Perplexity/Sonar AI) A Notion account and Notion API integration (for saving articles) DataForSEO account (for fetching Google "People Also Ask" questions) How to set up:** Import the workflow into your n8n instance. Connect your API credentials for OpenAI, OpenRouter, Notion, and (optionally) DataForSEO. Update your Notion database ID in the workflow settings. Deploy the workflow. Fill out the web form to generate your first article. Setup time:** 10–20 minutes if you already have your accounts. Tip: You can fully customize the outline and writing prompts for your target audience or topic. The workflow is modular—easy to adapt for different languages or content styles.

Automatically fetch existing domains from Notion's Database and verify the validity of SSL certificates through SSL-Checker. If the validity period is less than 14 days, send a Telegram message notification and trigger SSH remote automatic refresh. Successful refresh notification will be sent through Telegram. This can prevent problems with the server-side automatic refresh program, which may cause unexpected service interruptions. Main use cases: Notion store domain. Telegram receives warning messages. Remotely trigger Certbot to refresh SSL. How it works: Record who triggered this workflow, because if there is a credential that is about to expire, this workflow will be triggered repeatedly. After getting all the domains from Notion, send an http request to SSL-Checker. After getting all the SSL-Checker results, add the validity label. And use the IF node to check if there are any certificates that are about to expire. Then there are two workflows: If there is a certificate that is about to expire: send an SSH command to the remote control server to refresh the certificate, notify through Telegram, and call this workflow again to re-verify the validity of the SSL certificate. If the validity period of SSL is normal: then refresh the data on Notion, and if a re-called workflow is detected, Telegram will be used to notify that the SSL has been updated.

Who is this for Team leads, project managers, and operations staff who want to automate meeting documentation. Useful for any team that records meetings and needs structured notes with clear action items. What this workflow does This workflow accepts a meeting recording upload via a web form. The recording is uploaded to Gemini Files API for audio analysis. Gemini AI generates a structured summary including key decisions, action items with assignees, and follow-up topics. A Notion page is created with the complete notes, and the team is notified on Slack with a summary and the action item list. Setup Add a Google Gemini API credential for file upload and audio analysis. Add a Notion API credential and create a database with columns: Title, Date, Summary, Action Items, Status. Add a Slack OAuth2 credential and set your meetings channel. Requirements Google Gemini API key (supports audio file analysis) Notion workspace with API integration enabled Slack workspace with OAuth2 app How to customize Edit the analysis prompt in "Analyze recording with Gemini" to focus on specific meeting types (standup, retrospective, planning). Change the Gemini model to a larger variant for longer recordings. Add a Google Calendar integration to automatically match recordings to calendar events. Important disclaimer AI-generated summaries may not capture every detail or nuance from the recording. Always review the notes before sharing externally or making decisions based on them.

Stay Updated on Website Changes Automatically Manually checking websites for updates or competitor changes can be tedious. This workflow automates the process by scraping target pages, capturing screenshots, and analyzing content changes using Firecrawl and GPT-5-mini. All updates are saved in Notion, and you can optionally receive email alerts — keeping you informed without lifting a finger. Key Features Automated Website Monitoring** Tracks changes on multiple target URLs on a daily schedule. Visual & Text-Based Updates** Captures screenshots and generates concise text summaries for each change. Notion Integration** Stores snapshots, comparisons, and summaries directly in Notion for easy reference. GPT-Powered Comparison** Highlights meaningful changes between snapshots using GPT-5-mini. Change Criteria Input** Define what type of updates matter to you — focus on specific content changes or ignore minor differences. Email Alerts via Gmail** Sends notifications when updates occur, so you never miss important changes. Reusable Notion Page Template** Includes a structured template for consistent tracking and reporting: View Template Email Updates: Notion Page Template: Notion Update Example: Setup Instructions Add Target URLs Paste one or more websites you want to monitor. The workflow accepts multiple URLs in JSON format for scalable tracking. Setup Firecrawl Credential Use Firecrawl to scrape website data without dealing with complex API setups. Steps: Go to firecrawl.dev/app and sign up. Copy your API Key from the dashboard. In n8n, open the Firecrawl node, add a new credential, and paste the key. Test the node to ensure the connection works. Setup OpenAI API Key The workflow uses GPT-5-mini to analyze and summarize website changes. Steps: Sign up at OpenAI if you haven’t already. Generate a new API Key in your OpenAI dashboard. In n8n, open the GPT node, add a new credential, and paste the API key. Test the node to ensure it can successfully call the API. Setup Gmail for Email Alerts In n8n, open the Gmail node. Click Add New Credentials and select OAuth2. Follow the Google OAuth setup to allow n8n to send emails on your behalf. Choose the recipient and customize the alert formatting to include snapshots and summaries. Configure the Workflow Import the workflow into n8n. Add your target URLs in JSON format. Paste your Firecrawl API Key into the Firecrawl node. Add your OpenAI API key to the GPT node. Authenticate Gmail if email notifications are desired. Set your preferred change criteria to filter meaningful updates. Adjust the schedule for daily execution or your preferred frequency. How It Works Schedule Trigger: Runs daily or on-demand. Fetch Pages: Scrapes target websites using Firecrawl. Capture & Compare: Screenshots and text are stored and compared using GPT-5-mini. Apply Change Criteria: Only updates that meet your defined criteria are logged. Save Updates: Changes are stored in Notion with visual and text summaries. Optional Alerts: Sends Gmail notifications with updates. Example Use Cases Monitor competitor websites for product, pricing, or design changes. Track updates on blogs, documentation, or landing pages. Automatically log changes for research, reporting, or team awareness. Get notified instantly when key pages are updated. Requirements | Tool | Purpose | |------|----------| | Firecrawl API Key | Scrape website content | | OpenAI API Key | Generate summaries and compare changes with GPT-5-mini | | n8n | Run and schedule the automation | | Notion | Store snapshots, summaries, and comparisons | | Gmail (OAuth2) | Send alert emails | Have questions about this template? Feel free to reach out. Our DMs are always open! Email: [email protected] X (Twitter): @ScoutNowApp

Instantly Track Reddit Discussions and Generate Insights Manually monitoring Reddit for relevant discussions can be overwhelming. This automation does all the heavy lifting by automatically searching for keywords across selected subreddits or the entire Reddit, analyzing each post with GPT-5-Mini, and saving structured insights in your Notion database. Optionally, receive daily email notifications summarizing new discussions without lifting a finger. Key Features Daily Automated Reddit Monitoring** Checks Reddit once a day for new posts matching your keywords in selected subreddits or across all of Reddit. AI-Powered Analysis with Custom Prompts** Uses GPT-5-Mini to: Assign a relevance score to each post based on your defined priorities. Generate a suggested comment tailored to your audience or engagement strategy. Allow custom prompts so you can tweak AI behavior for lead generation, competitor monitoring, or brand mentions. Notion Integration** Saves all posts, relevance scores, and AI-generated comments directly into your Notion database for easy tracking and collaboration. Optional Email Alerts** Sends a clean, HTML-formatted email summarizing new discussions and insights. No API Keys Required for Reddit** Works with the official Reddit API without requiring users to create credentials. Customizable Inputs** Users define keywords, subreddits, relevance criteria, custom prompts, and notification preferences with minimal setup. Setup Instructions Configure Keywords and Subreddits Open the Define Keywords and Subreddits node. Enter your target keywords and choose specific subreddits, or enable search across all Reddit. Map the inputs to the workflow’s search nodes. Connect OpenAI (GPT-5-Mini) Create an OpenAI account and obtain your API key. Open the AI Analysis Node in the workflow. Paste your OpenAI API key into the credentials field. Customize your prompts to define how GPT-5-Mini: Scores relevance based on your specific criteria. Generates suggested comments tailored to your objectives (e.g., lead generation, brand engagement, competitor analysis). Test the node to ensure relevance scoring and suggested comments are generated correctly. Connect Notion Duplicate the provided Notion template into your workspace. Obtain your Notion integration secret from Notion settings. Paste the secret into the Add Each Post to Notion Database node. Test the connection to ensure posts are saved correctly. Optional Email Notifications Setup Google API credentials in the Google Cloud Console. Authenticate Gmail in the workflow. Map the recipient email and customize the notification format. Test sending an email to confirm delivery. Configure Workflow Trigger Import the workflow into n8n. Ensure the daily trigger is enabled. Optionally adjust schedule or notification settings. How It Works Daily Trigger: Starts the workflow once per day. Reddit Search: Queries new posts based on user-defined keywords. AI Analysis: GPT-5-Mini evaluates relevance score and generates suggested comments based on your custom prompts. Save & Notify: Posts are saved to Notion and optionally summarized via email. Example Use Cases Generate leads by identifying potential prospects discussing your industry or product. Monitor brand mentions to stay on top of conversations around your company. Track competitor activity across relevant subreddits. Keep a daily digest of trending posts for market research or content ideas. Automate engagement by posting AI-generated suggested comments. Requirements | Tool | Purpose | | -------------- | ------------------------------------------------- | | Notion Account | Store posts, relevance scores, and comments | | Gmail Account | Optional daily email notifications | | n8n | Run, schedule, and manage the workflow | | OpenAI API Key | Access GPT-5-Mini for relevance scoring and AI-generated comments |

Use case This automation is for teams working in Notion. When you have a lot of back and forth in the comment section, it’s easy to lose track of what is going on in the conversation. This automation relies on AI to generate a summary of the comment section. How it works Every hour (the trigger can be adapted to your need and usecase), the automation checks if new comments have been added to the pages of your Notion database. If there are new comments, the comments are sent to an AI model to write a summary. The summary is then added to a predefined page property. The automation also updates a “Last execution” property. This prevents to re-generate the AI summary when no new comments have been received. Setup Define your Notion variables: Notion database, property that will hold the AI summary, property that will hold the last execution date of the automation. Set up your Notion credentials. Set up your AI model credentials (API key). How to adjust it to your needs Use the LLM model of your choice. In this template, I used Gemini but you can easily replace it by ChatGPT, Claude, etc. Adapt the prompt to your use case to get better summaries: specify the maximum number of characters, give an example, etc. Adapt the trigger to your needs. You could use Notion webhooks as trigger in order to run the automation only when a new comment is added (this setup is advised if you’re on n8n cloud version).

This n8n workflow orchestrates a powerful suite of AI Agents and automations to manage and optimize various aspects of an e-commerce operation, particularly for platforms like Shopify. It leverages Langchain AI Agents powered by OpenAI, along with a variety of integrated services, to handle customer support, product recommendations, abandoned cart recovery, inventory management, post-purchase engagement, review monitoring, marketing campaigns, and operational alerts. Tools & Services Used n8n:** Core automation and orchestration platform. Langchain AI Agents:** For intelligent decision-making, task execution, and natural language processing across multiple modules. OpenAI (e.g., GPT-4o Mini):** Powers the AI Agents and direct LLM calls for tasks like sentiment analysis and content generation. Shopify (Conceptual - requires specific API/Webhook setup):** For triggers (abandoned cart, order delivered) and actions (fetching products/inventory, creating discounts). Google Sheets:** Used as a data store for FAQs, logging low stock, review databases, and campaign outcomes. Slack:** For internal team notifications (escalations, low stock, negative reviews). Twilio (or similar SMS service):** For sending SMS alerts (cart recovery, restock notifications). Email (Generic SMTP/API):** For sending various emails (AI responses, recovery emails, review requests, campaign emails). Notion:** For logging customer interactions. HTTP Request Nodes:** For generic API interactions (fetching customer info, product search, CRM, campaign tracking). Webhook Nodes:** For receiving external triggers (incoming messages, product inquiries, review submissions, restock signals). Cron Nodes:** For scheduled tasks (hourly inventory checks, daily campaigns). Workflow Overview This workflow is a collection of interconnected sub-workflows, each designed to automate a specific e-commerce process: Customer Support & Escalation Handles incoming customer messages, attempts to answer with FAQs or order status using an AI Agent, and escalates to a human agent via Slack if necessary. Logs interactions to Notion. Product Inquiry & Recommendation Processes product inquiries, searches a product catalog, filters/sorts results, uses an AI Agent for selection refinement, and can build a product carousel for user response. Abandoned Cart Recovery Detects abandoned carts, fetches customer data, uses an AI Agent to strategize recovery (e.g., offer discounts), and sends follow-up communications via email/SMS. Inventory Management (Low Stock Alert) Periodically checks inventory levels, identifies low-stock items, uses an AI Agent to format reports, and notifies relevant teams via Slack/email, logging to Google Sheets. Post-Purchase Review Request After a set period post-delivery, an AI Agent drafts and initiates sending a personalized product review request email to the customer. Review Monitoring & Flagging Listens for new product reviews, uses an AI model for sentiment analysis, alerts a support team for negative reviews via Slack, and logs all reviews. Scheduled Marketing Campaigns Fetches target audiences, segments them, uses AI Agents to generate tailored email content, sends campaigns, tracks basic metrics, and employs another AI Agent to suggest campaign adjustments. Manual Restock Alert & Logging Allows triggering a restock notification via webhook, sends an SMS alert, and uses an LLM to log the event. Prerequisites Ensure you have active accounts and necessary API keys/credentials for: OpenAI Shopify (or your e-commerce platform API) Google Cloud (for Google Sheets API) Slack (Bot Token) Twilio (Account SID, Auth Token, From Number) Your Email Sending Service (SMTP details or API key) Notion (Integration Token) Any other external APIs used (e.g., CRM, Product Search, Customer Info, Campaign Tracking) How to Use This Template Step 1: Import the Template Open your n8n instance. Go to “Workflows” > “Create Workflow”. Click the three dots (…) > “Import from File”. Upload the downloaded JSON file of this workflow. Step 2: Configure Critical Nodes & Credentials This is the most crucial step. Systematically go through each of the 8 sections outlined in the Sticky Notes within the workflow and configure the relevant nodes: SECTION 1 (Customer Support):** Get FAQs Data (Google Sheets): Set sheetId to YOUR_SHEET_ID_HERE and configure Google API credentials. Lookup Order API (HTTP Request): Set url to YOUR_ORDER_LOOKUP_API_ENDPOINT_HERE. Notify Human Agent (Slack): Configure Slack API credentials and channel. Send AI Response to Customer (HTTP Request): Set url to YOUR_CUSTOMER_RESPONSE_API_ENDPOINT_HERE. Store to Notion (Notion): Set pageId (Database ID) to YOUR_NOTION_DATABASE_URL_OR_ID_HERE and Notion API credentials. SECTION 2 (Product Inquiry):** Search Products API (HTTP Request): Set url to YOUR_PRODUCT_SEARCH_API_ENDPOINT_HERE. Build Product Carousel (Function): Update YOUR_DEFAULT_PRODUCT_IMAGE_URL_HERE and YOUR_FALLBACK_PRODUCT_URL_HERE. Respond to User with Carousel (HTTP Request): Set url for sending carousel data. SECTION 3 (Abandoned Cart):** Detect Abandoned Cart (Shopify Trigger): Configure Shopify credentials and ensure the correct trigger event. Fetch Customer Info (HTTP Request): Set url to YOUR_CUSTOMER_INFO_API_ENDPOINT_HERE. Create Discount (if applicable) (Shopify): Configure Shopify credentials and review discount creation parameters. Send Recovery Email (HTTP Request/Email Send): Set email API endpoint or SMTP credentials. Send SMS Reminder (Twilio): Configure Twilio credentials and from number (YOUR_TWILIO_PHONE_NUMBER_HERE). SECTION 4 (Low Stock Alerts):** Fetch Inventory (Shopify): Configure Shopify credentials. Notify Slack (Low Stock) (Slack): Configure Slack API credentials and channel. Generate Email Report (Low Stock) (Email Send): Configure SMTP/email credentials and to address. Export to Sheets (Low Stock Log) (Google Sheets): Set sheetId to YOUR_INVENTORY_LOG_SHEET_ID_HERE and Google API credentials. SECTION 5 (Review Request):** Order Delivered Trigger (Shopify Trigger): Configure Shopify credentials. Fetch Customer Data (for Review) (HTTP Request): Set url to YOUR_CUSTOMER_INFO_API_ENDPOINT_HERE. DraftReviewRequestEmail (Tool): Update YOUR_PRODUCT_PAGE_URL_BASE_HERE and YOUR_WEBSITE_URL_HERE. Send Review Request Email (Email Send): Configure SMTP/email credentials. SECTION 6 (Review Monitoring):** OpenAI node (currently Assistant Create): IMPORTANT: For sentiment analysis, change this node type to @n8n/n8n-nodes-langchain.lmChatOpenAi. Then configure its prompt for sentiment analysis (e.g., System: "Analyze sentiment. Respond with positive, negative, or neutral." User: "Review: {{ $('Listen for Review Webhook').first().json.body.review_text }}"). Set OpenAI credentials. Notify Support Team (Negative Review) (Slack): Configure Slack API credentials and channel. Add Review to Database (Google Sheets): Set sheetId to YOUR_REVIEWS_DATABASE_SHEET_ID_HERE and Google API credentials. SECTION 7 (Marketing Campaigns):** Fetch Target Audience API (HTTP Request): Set url to YOUR_CRM_API_FOR_AUDIENCE_HERE. GenerateCampaignEmailVariant (Tool): Update YOUR_CAMPAIGN_LANDING_PAGE_HERE. Send Campaign Email (Email Send): Configure SMTP/email credentials. Track Campaign Metrics API (HTTP Request): Set url for YOUR_CAMPAIGN_TRACKING_API_ENDPOINT_HERE. Log Campaign Outcome & Adjustments (Google Sheets): Set sheetId to YOUR_CAMPAIGN_LOG_SHEET_ID_HERE and Google API credentials. SECTION 8 (Manual Restock):** Send SMS Alert (Restock) (Twilio): Configure Twilio credentials, from number (YOUR_TWILIO_PHONE_NUMBER_HERE), and to (WAREHOUSE_MANAGER_PHONE_NUMBER_HERE). OpenAI Chat Model (for Basic LLM Chain): Configure OpenAI credentials. Send restock Request Email1 (Email Send): Configure SMTP/email credentials and to address. Step 3: Implement Tool Logic Go into each @n8n/n8n-nodes-langchain.toolCode node (e.g., SearchFAQs, RefineProductSelection, DetermineDiscount, etc.). The current JavaScript is placeholder. You MUST replace this with actual JavaScript logic that performs the intended action for each tool, often by making API calls or processing data based on the agent's input. Step 4: Review AI Agent Prompts & Tool Connections Carefully review the systemMessage for each AI Agent node to ensure it accurately reflects its role and how it should use its tools. CRITICAL:** Verify the index for tools connected to each AI Agent. Each tool connected to a single agent must have a unique, sequential index (0, 1, 2, ...). AI Agent (ID cd71629d-... in your JSON): SearchFAQs tool should be index: 0, LookupOrderStatus tool should be index: 1. (Please double-check and correct the connection indices in your actual workflow file if they are still both pointing to index 0). AI Agent6 (ID 4c24879b-... in your JSON): AnalyzeCampaignPerformance tool should be index: 0, SuggestCampaignAdjustments tool should be index: 1. (Please double-check and correct the connection indices in your actual workflow file if they are still both pointing to index 0). Initial Test Run Disable most of the workflow sections initially. Focus on one section at a time (e.g., Section 1: Customer Support). Manually trigger the first node (e.g., simulate an incoming webhook). Execute node by node, checking the output and debugging configurations and tool logic. For time-based triggers (Cron, Wait nodes), temporarily shorten the durations for faster testing. Once a section is working, move to the next. Use Cases E-commerce Businesses (Shopify, etc.):** To automate customer service, marketing, sales recovery, and operations. Digital Marketing Agencies:** To offer advanced automation services to e-commerce clients. Freelancers & Consultants:** To build and deploy sophisticated AI-driven e-commerce solutions. n8n Developers:** As a comprehensive template and learning resource for building complex multi-agent systems.

Overview Build your own AI Prompt Hub inside n8n. This template lets ChatGPT automatically search your saved prompts in Notion using semantic embeddings from HuggingFace. Each time a user sends a message, the workflow finds the most relevant prompt based on meaning - not keywords. Perfect for developers who maintain dozens of prompts and want ChatGPT to pick the right one automatically. Key Features 🔍 Semantic Prompt Search - Finds the best prompt using HuggingFace embeddings 🧠 AI Agent Integration - ChatGPT automatically calls the prompt-search workflow 📚 Notion Prompt Database - Store unlimited prompts with auto-generated embeddings ⚡ Automatic Embedding Sync - Regenerates vectors when prompts change This template is ideal for: AI automations Prompt engineering DevOps and backend engineers who reuse prompts Teams managing large prompt libraries How it works The user sends any message to the ChatGPT interface The n8n AI Agent calls a sub-workflow that performs semantic search in Notion HuggingFace converts both the message and saved prompts into vector embeddings The workflow returns the most similar prompt, which ChatGPT can use automatically Setup Instructions (15–20 minutes) Import this template into your n8n instance Set credentials for Notion, OpenAI, and HuggingFace Create a Notion database with: Prompt (Text) Embeddings (Text) Checksum (Text) Paste your Notion database ID in: “Get All Prompts” “On Page Update” “On Page Create” “Get All Prompts for Search” Enable the workflow and open the URL from “When chat message received” to start chatting Type any request - the system will search for a matching prompt automatically Documentation & Demo Full documentation and examples: https://github.com/YahorDubrouski/ai-planner/blob/main/documentation/prompt-hub/README.md

Hey n8n Innovators & Knowledge Seekers! 👋 Ever felt that spark? That "aha!" moment when you realize you need to dive deep into a new subject? Or maybe you've got a brilliant idea for a course, a comprehensive guide, or even the seeds of your next groundbreaking book, but the thought of structuring it all makes your brain do a backflip? What if you had an AI co-pilot, right within n8n, to help you LEARN ANYTHING profoundly, DESIGN A DETAILED CURRICULUM from scratch, or even OUTLINE YOUR NEXT BESTSELLER – and then beam it all into a beautifully organized Notion workspace? Well, dream no more! I'm super stoked to share a set of n8n workflows I've cooked up that does exactly this. Picture This: You Want To... 🚀 Master the Unfamiliar: Finally conquer the intricacies of Decentralized Finance (DeFi), understand the core principles of Permaculture Design, or even get a solid grasp on Cognitive Bias in Decision Making. Just tell the AI your starting point! 📚 WRITE THAT BOOK! Been mulling over a guide on Sustainable Urban Living? Or a deep dive into The History of Ancient Philosophies? Let AI generate your chapter outlines, key concepts, and foundational content. 🎓 CREATE A WORLD-CLASS CURRICULUM: Planning a workshop on Advanced Data Visualization Techniques? Or an online course on The Fundamentals of Ethical AI Development? Get a comprehensive, Harvard-level syllabus structure in minutes. 🧠 Personalize Your Knowledge Journey: Get content adapted not just for your current skill level, but with presentation hints based on cognitive styles (yep, we're playing with MBTI!). So, How Does This AI Magic Work in n8n? It's a dynamic duo of workflows: The "Learn Anything" Maestro: You feed it your topic, how much you know, (optionally) your MBTI, and how deep you want to go via a cool, custom-styled form. AI models (via OpenRouter) then get to work, sketching out a full hierarchical curriculum and brainstorming a catchy title and description. Then, for every single section in your new plan, our "SeniorWriter" AI crafts rich, detailed content. Think of it as your personal subject matter expert on tap! The "Notion Block Ninja" Sub-Workflow: This trusty sidekick takes all that awesome Markdown content. It intelligently converts it into the precise JSON that Notion loves, ensuring every heading, list, and table looks perfect. Then whoosh – it’s all uploaded to your Notion page, organized and ready. Why Share This? Because Knowledge Should Be Accessible & Creation Fun! I'm a firm believer that n8n isn't just for business tasks; it's an incredible platform for personal growth, learning, and creative exploration. This project is all about making it easier to dive deep, structure your thoughts, and bring big ideas to life. Ready to Unleash Your AI Co-Pilot? I'll be dropping the workflow JSONs and a setup guide (with a handy Notion database template link!) in the comments or a follow-up. You'll just need your Notion API key and an OpenRouter API key (they've got free tiers to get you started exploring!). Think of the Possibilities! You could be: Building custom learning paths for yourself or your team. Rapidly prototyping educational content. Finally writing that book** you've always talked about. Just satisfying your endless curiosity on any subject under the sun! I can't wait to hear what you think, the amazing topics you explore, and any brilliant ideas you have to make this even more powerful! Let the learning (and creating) begin! 🚀

What This Workflow Does: This n8n workflow automatically generates an AI-powered summary and relevant tags whenever a new row is added to your Notion database. Simply save any URL to your Notion database using the [Notion Web Clipper] Chrome extension or [Save to Notion]—on both desktop and mobile. This keeps all your saved content organized in one place instead of scattered across different platforms. How it works: The workflow is triggered when a new row is added to your Notion database (it checks for updates every minute). It retrieves the content from the saved URL. An AI agent analyzes the content to generate a summary and relevant tags. The AI output is then formatted properly. Finally, the formatted summary and tags are saved into the appropriate columns in your Notion database. Notes: Make sure your Notion database includes the following columns: URL – Stores the content URL you want to summarize. AI Summary – Where the AI-generated summary will be added. Tags – Where the AI-generated tags will be saved.

AI job application tracker and interview prep assistant Categories: AI, Productivity, Career Transform your job search from chaos to clarity. This workflow automatically tracks every application, researches companies, and prepares you for interviews with AI-generated materials — all saved to a visual Notion pipeline. Benefits Never lose track of applications** — Every job gets logged automatically with status tracking Walk into interviews prepared** — AI generates likely questions, talking points, and company insights Save 2-3 hours per application** — Research and prep that took hours now happens in seconds Automated follow-up reminders** — Get notified when it's time to send that follow-up email How It Works Submit application via form (paste job URL) or forward your confirmation email AI extracts job details — company, role, requirements, salary, location Interview prep generates — likely questions, suggested talking points, questions to ask Everything saves to Notion — visual pipeline with follow-up dates Daily reminders — Slack notification for applications needing follow-up Required Setup Notion Database Structure Create a Notion database with these properties: | Property Name | Type | Purpose | |---------------|------|---------| | Company | Title | Company name | | Role | Text | Job title | | Status | Select | Applied, Interviewing, Offer, Rejected, Ghosted | | Applied Date | Date | When you applied | | Salary Range | Text | Compensation info | | Job URL | URL | Link to posting | | Location | Text | City/Remote | | Interview Prep | Text | AI-generated prep materials | | Follow Up Date | Date | When to follow up | | Requirements | Text | Key job requirements | | Notes | Text | Your personal notes | Credentials Needed OpenAI API** — For job extraction and interview prep generation Notion** — Connected to your job tracker database Gmail** (optional) — For email forwarding and confirmations Slack** (optional) — For follow-up reminders Use Cases Active job seekers** — Track 20+ applications without spreadsheet chaos Career changers** — Get AI help understanding new industry requirements Recent graduates** — Build interview confidence with generated prep materials Passive searchers** — Keep a running list with minimal effort Set Up Steps Import the workflow into your n8n instance Create Notion database with the structure above (or duplicate template) Connect OpenAI credentials — API key with GPT-5 access recommended Connect Notion credentials — Select your job tracker database Configure Gmail trigger (optional) — Set filter for forwarded job emails Set up Slack webhook (optional) — Choose channel for reminders Test with a sample job posting — Paste a LinkedIn or company careers page URL Customization Tips Edit the interview prep prompt to mention your background/experience Adjust the follow-up reminder interval (default: 7 days) Add additional research sources (LinkedIn, Crunchbase) for richer company data Connect to calendar to block interview prep time automatically Technical Notes Uses Jina AI Reader for web scraping (free tier available) GPT-5-mini recommended for cost efficiency Notion text fields limited to 2000 characters (full prep saved) Daily check runs at 9 AM (configurable) Difficulty Level: Intermediate Estimated Setup Time: 30-45 minutes Monthly Operating Cost: ~$2-5 (based on 50 applications/month with GPT-5-mini)

AI Assistant Workflow: Create Notion Workspaces from Notes & Voice Records 👤 Who is this for? This workflow is designed for anyone who loves Notion—from project managers, freelancers, to students—who want to turn scattered ideas, handwritten notes, or quick thoughts into fully structured Notion databases without the hassle of manual setup. 😩 The Problem You have a brilliant idea jotted down during a meeting or on a piece of paper. But turning that into a structured Notion workspace (for project management, CRM, habit tracking, recipes, etc.) is time-consuming and disruptive. Designing properties, configuring views, and entering sample data can interrupt your creative flow and slow down execution. ⚡️ How It Works This workflow acts as a smart AI assistant that automatically builds a full Notion workspace from just a simple note or voice record. Notes & Upload Snap a picture of your handwritten notes or type a quick description of what you want to manage. Upload it into a Google Drive folder. AI Reads & Understands Step 1: Google Gemini AI converts handwritten notes into text (OCR). Step 2: Another AI (OpenAI/Vertex AI) analyzes the intent—figuring out whether you want a project plan, a CRM contact list, or maybe a recipe collection. AI Designs & Builds A specialized AI then designs the database structure, including: Properties (date, status, assignee, tags, etc.) Dropdown options Useful views (Table, Kanban Board, Calendar, Gallery) Database Creation & Sample Data The system creates the database in your Notion automatically. Fills it with realistic sample entries so you can start working immediately. ⚙️ Detailed Workflow Steps 🔄 Automated Flow Trigger & Read Notes Workflow starts when a file (image or text) is uploaded to a Google Drive folder. Gemini AI extracts text from handwritten notes. Track Request System generates a unique Request ID. Creates a new page in a Notion tracking database "Agent Notes" with status = "Not started". AI Intent Analysis An AI Agent analyzes the extracted text to identify: Content type (e.g., project_management, crm_contacts, inventory_tracking) Complexity level (scale 1–5) Suggested database title, description, and icon AI Database Design Another AI Agent designs the structure: Schema: Names and types for each property (column) Sample Data: 5–10 rows of context-appropriate sample entries (localized for Vietnam if needed) Views: Recommendations for Table, Board, Calendar, Gallery, etc. Database Creation AI output is formatted for Notion API. Workflow creates a new inline database inside the tracking page. Insert Sample Data Workflow iterates over the AI-generated sample rows and inserts them into the new database. Completion Updates the status of the "Agent Notes" page to "Done". Records completion time. 🛠️ Setup Instructions 📝 Configure Notion Create a new Integration in Notion (My Integrations) → Copy the Internal Integration Token. Create a database named "Agent Notes" with properties: Name (Title) Status (Status) Request ID (Text) Last Updated (Date) Share "Agent Notes" with your integration. Copy the database ID from the URL. 📁 Configure Google Drive Create a new folder in Google Drive (e.g., "Notes for Notion"). Copy the folder ID from the URL. 🔧 Setup in n8n Import the workflow into your n8n instance. Add credentials for Notion, Google Drive, and OpenAI/Google AI (Vertex). Update configuration in nodes: Google Drive Trigger → Paste your Drive folder ID Notion Nodes (Create Row, Get Row) → Paste "Agent Notes" database ID AI Nodes → Ensure correct credentials are selected 🚀 Usage Example Imagine you want to manage your recipes. Write on paper: Create a recipe collection. Needed fields: Dish name, Ingredients, Cooking time, Difficulty (easy/medium/hard), Type (main/dessert), Picture. Take a photo and upload it to the configured Google Drive folder. Wait a few minutes. A new database “Recipe Collection 🍲” will appear in Notion, with: Columns already set up Sample recipes filled in Useful views (Table, Gallery, Calendar) 🌟 Key Benefits No manual setup required Transforms messy notes into structured, usable data Works with both handwritten notes and typed text Saves time, maintains creative flow, and boosts productivity

📦 n8n Template Submission – “7-Day Content Bloom” by Shelly-Ann Davy, The Workflow Muse 🌸 What it does Drop one article URL or brain-dump idea into this workflow and watch it blossom into a week of graceful, feminine content for Instagram, X/Twitter, Pinterest, and your Sunday-email love-note. AI writes every caption, tweet, pin title, FAQ, and CTA in my signature warm-neuroscience tone—then tucks everything into a clean Notion page for your final approval. Optional one-click scheduling to Tailwind & Pinterest keeps your feed blooming while you sip tea. 👩‍🎨 Who it’s for Creators, moms, and gentle-growth entrepreneurs who crave consistent visibility without hustle energy. 🪄 How it works Trigger – Webhook or Notion row status = “Ready to Repurpose”. AI Muse – gpt-4o crafts platform-specific copy in strict JSON. Notion Oasis – Every caption, tweet, pin, and FAQ lands in a single, beautiful page. Optional Bloom – Auto-schedule IG & Pinterest via Tailwind (toggle on/off). Whisper notification – Slack/Discord ping when the bouquet is ready. 🛠️ One-time setup (5 min) | Asset | Where to find | Notes | |---|---|---| | Notion database | Duplicate template | pastel palette included | | OpenAI key | n8n → Credentials → OpenAI | no keys hard-coded | | Tailwind & Pinterest tokens | Optional; HTTP Header Auth credentials | only if you want autopilot | 🧪 Quick test Send this to your webhook URL: { "source_url": "https://yourblog.com/neuroscience-productivity", "idea_text": "" } …or flip any Notion row to Ready to Repurpose and watch the magic. 📊 Privacy & cost Data stays in your Notion, Tailwind, and Pinterest accounts. OpenAI charges only for the tokens you use (~$0.04 per run on average). 🎨 Brand voice baked in Elegant, feminine, neuroscience-backed, and always ending with a gentle CTA to your free Sunday-reset Notion template. Ready to let your next big idea bloom across the internet—stress-free? Activate the workflow, and let the Muse do the rest. 🌷

🧾 An intelligent automation system that turns Google Meet recordings into structured meeting notes — integrating Fireflies.ai, OpenAI GPT-4.1-mini, Notion, Slack, Google Drive, and Gmail via n8n. 🎥 Demo: Watch the Loom walkthrough ⚙️ What It Does The Google Meet Notes Generator & Distributor automates the entire post-meeting workflow. Workflow Summary: Fetches Google Meet transcript via Fireflies.ai webhook. Aggregates and summarizes transcript using OpenAI GPT-4.1-mini into: Title Summary Decisions Action Items Risks Questions Stores the transcript as a text file on Google Drive and generates a shareable link. Creates a Notion page with all the meeting details. Posts the summary in #meeting Slack channel. DMs each attendee on Slack with personalized meeting notes. Sends email recap to all attendees via Gmail. Result: No more manual note-taking or scattered updates — everything centralized, formatted, and instantly shareable. 💡 Use Cases | Scenario | Description | | --------------------------- | --------------------------------------------------------------------------------------- | | Team Meeting Summaries | Automatically summarize and distribute meeting notes for internal teams. | | Project Management | Keep structured decisions, action items, and risks documented for each project meeting. | | Remote Teams | Notify distributed teams in Slack and via email without extra effort. | | Client Updates | Share polished meeting summaries with clients instantly. | | Knowledge Base / Notion | Archive structured notes in Notion for reference and compliance. | 🔧 Setup Accounts and Tools Needed | Tool | Purpose | | -------------------------- | ---------------------------------------------- | | 🤖 Fireflies.ai API | Fetch Google Meet transcripts via webhook | | 🧠 OpenAI API | Summarize and structure transcript into notes | | 📓 Notion API | Create structured meeting pages | | 💬 Slack OAuth/Bot | Post summaries in channel and DM attendees | | 🗂 Google Drive OAuth2 | Store transcripts and generate shareable links | | ✉️ Gmail OAuth2 | Email meeting recaps to attendees | Fireflies.ai Setup Get API key from Fireflies.ai. Configure n8n → Credentials → Fireflies API. Ensure webhook triggers are set to send meetingId to n8n. OpenAI Setup Generate API key at OpenAI. Add to n8n → Credentials → OpenAI API. Use model GPT-4.1-mini in Agent and Generate Slack Message nodes. Notion Setup Create a Notion integration and share your workspace. Add API token in n8n → Credentials → Notion API. Map workspace/page IDs to Notion Page node. Slack Setup Create Slack Bot in workspace with chat:write and users:read permissions. Add OAuth token in n8n → Credentials → Slack API. Connect to Send a message #meeting and DMs to Attendees nodes. Google Drive Setup Create a folder for transcripts. Enable Google Drive API in Google Cloud Console. Add OAuth2 credentials to n8n → Google Drive. Gmail Setup Enable Gmail API in Google Cloud. Add OAuth2 credentials in n8n → Gmail. Connect to Email to Attendees node. n8n Workflow Setup Import provided n8n workflow JSON. Configure all credentials: Fireflies, OpenAI, Notion, Slack, Google Drive, Gmail. Activate workflow. Test by sending a meeting ID via webhook. Workflow automatically: Fetch → Summarize → Store → Notion → Slack → DM → Email 🧠 Result A fully automated AI pipeline that transforms Google Meet recordings into polished, shareable meeting notes — eliminating manual note-taking and keeping your team informed in real time. 📞 Support & Contact If you face any issues during setup or execution, contact: 📧 Email: [email protected] 🔗 LinkedIn: Atharva Jaiswal

How it works: This template turns rows in a Google Sheet into polished newsletter drafts in Notion using an AI writing agent. You click Execute workflow in n8n. It fetches all rows marked N8n Status = Pending, generates a draft from Newsletter Title and About the Newsletter, creates a Notion page, writes the full draft, then flips the sheet row to Done before moving to the next one. Before you start (use your own credentials): Create and select your credentials in n8n: Google Sheets (OAuth2 or Service Account) with access to the target spreadsheet. Notion (Internal Integration) with access to the target database. OpenAI (API Key) for the Chat Model. Replace any placeholders in nodes: Spreadsheet ID/URL and sheet/tab name (e.g., newsletter). Notion Database ID / Parent and any page or block IDs used by HTTP Request nodes. OpenAI model name if you prefer a different model. Give the Notion integration access to the database (Share → Invite the integration). Do not hard-code secrets in nodes. Store them in n8n Credentials. Step-by-step: Manual Trigger Start the run with When clicking ‘Execute workflow’. Fetch pending input (Google Sheets → Get row(s) in sheet) Read the newsletter tab and pull only rows where N8n Status = Pending. Iterate (Split In Batches → Loop Over Items) Process one sheet row at a time for stable memory use and pacing. Generate the newsletter (AI Agent + OpenAI Chat Model) AI Agent loads the “System Role Instructions” that define style, sections, and format. Pass Newsletter Title and About the Newsletter to the OpenAI Chat Model to produce the draft. Create a Notion page (Notion → Create Page) Create a page in your Newsletter Automation database with the page title set from Newsletter Title. Prepare long content for Notion (Code) Split the AI output into \~1,800-character chunks and wrap as Notion paragraph blocks to avoid payload limits. Write content blocks to Notion (HTTP Request → UpdateNotionBlock) Send a PATCH request to append all generated blocks so the full draft appears on the page. Mark the sheet row as done (Google Sheets → Update row in sheet) Update N8n Status = Done for the processed Newsletter Title. Continue the loop Return to Split In Batches for the next pending row until none remain. Tools integration: Google Sheets** — input queue and status tracking (Pending → Done) OpenAI** — LLM that writes the draft from provided fields Notion** — destination database for each draft page n8n Code + HTTP Request** — chunking and Notion API block updates Want auto-runs? Add a Cron trigger before step 2 and keep the flow unchanged.

Automatically backs up your workflows to Github and generates documentation in a Notion database. Weekly run, uses the "internal-infra" tag to look for new or recently modified workflows Uses a Notion database page to hold the workflow summary, last updated date, and a link to the workflow Uses OpenAI's 4o-mini to generate a summarization of what the workflow does Stores a backup of the workflow in GitHub (recommend a private repo) Sends notification to Slack channel for new or updated workflows Who is this for Anyone seeking backup of their most important workflows Anyone seeking version control for their most important workflows Credentials required N8N: You will need an N8N credential created so the workflow can query the N8N instance to find all active workflows with the "internal-infra" tag Notion: You will need an Notion credential created OpenAI: You will need an OpenAI credential, unless you intend on rewiring this with your AI of choice (ollama, openrouter, etc.) GitHub: You will need an GitHub credential Slack: You will require an Slack credential, recommend a Bot / access token configuration Setup Notion Create a database with the following columns. Column type is specified in [type]. Workflow Name [text] isActive (dev) [checkbox] Error workflow setup [checkbox] AI Summary [text] Record last update [date/time] URL (dev) [text/url] Workflow created at [date/time] Workflow updated at [date/time] Slack Create a channel for updates to be posted into Github Create a private repo for your workflows to be exported into N8N Download & install the template Configure the blocks to use your N8N, Notion, OpenAI & Slack credentials for your own Edit the "Set Fields" block and change the URL to that of your N8N instance (cloud or self-hosted) Edit the "Add to Notion" action and specify the Database page you wish to update Edit the Slack actions to specify the Channel you want slack notifications posted to Edit the GitHub actions to specify the Repository Owner & Repository Name Sample output in Notion Workflow diagram

Purpose This solution enables you to manage all your Notion and Todoist tasks from different workspaces as well as your calendar events in a single place. All tasks can be managed in Todoist and additionally Fantastical can be used to manage scheduled tasks & events all together. Demo & Explanation How it works The realtime sync consists of two workflows, both triggered by a registered webhook from either Notion or Todoist To avoid overwrites by lately arriving webhook calls, every time the current task is retrieved from both sides. Redis is used to prevent from endless loops, since an update in one system triggers another webhook call again. Using the ID of the task, the trigger is being locked down for 15 seconds. Depending on the detected changes, the other side is updated accordingly. Generally Notion is treaded as the main source. Using an "Obsolete" Status, it is guaranteed, that tasks never get deleted entirely by accident. The Todoist ID is stored in the Notion task, so they stay linked together An additional full sync workflow daily fixes inconsistencies, if any of them occurred, since webhooks cannot be trusted entirely. Since Todoist requires a more complex setup, a tiny workflow helps with activating the webhook. Another tiny workflow helps generating a global config, which is used by all workflows for mapping purposes. Mapping (Notion >> Todoist) Name: Task Name Priority: Priority (1: do first, 2: urgent, 3: important, 4: unset) Due: Date Status: Section (Done: completed, Obsolete: deleted) <page_link>: Description (read-only) Todoist ID: <task_id> Current limitations Changes on the same task cannot be made simultaneously in both systems within a 15-20 second time frame Subtasks are not linked automatically to their parent yet Recurring tasks are not supported yet Tasks names do not support URL’s yet Compatibility n8n v2.5.0 and above Updates This templated has been updated to work with the new "combined" Todoist API (v1). The general flow works exactly the same as before. Only the setup of the Todoist Webhook might look a tiny bit different then shown in the setup video, so please also have a look at the yellow sticky notes. Prerequisites Notion A database must already exist (get a basic template here) with the following properties (case matters!): Text: "Name" Status: "Status", containing at least the options "Backlog", "In progress", "Done", "Obsolete" Select: "Priority", containing the options "do first", "urgent", "important" Date: "Due" Checkbox: "Focus" Text: "Todoist ID" Todoist A project must already exist with the same sections like defined as Status in Notion (except Done and Obsolete) Redis Create a Free Redis Cloud instance or self-host Setup The setup involves quite a lot of steps, yet many of them can be automated for business internal purposes. Just follow the video or do the following steps: Setup credentials for Notion (access token), Todoist (access token) and Redis - you can also create empty credentials and populate these later during further setup Clone this workflow by clicking the "Use workflow" button and then choosing your n8n instance - otherwise you need to map the credentials of many nodes. Follow the instructions described within the bundle of sticky notes on the top left of the workflow How to use You can apply changes (create, update, delete) to tasks both in Notion and Todoist which then get synced over within a couple of seconds (this is handled by the differential realtime sync) The daily running full sync, resolves possible discrepancies in Todoist and sends a summary via email, if anything needed to be updated. In case that contains an unintended change, you can jump to the Task from the email directly to fix it manually.

This n8n workflow demonstrates a simple multi-agent setup to perform the task of competitor research. It showcases how using the HTTP request tool could reduce the number of nodes needed to achieve a workflow like this. How it works For this template, a source company is defined by the user which is sent to Exa.ai to find competitors. Each competitor is then funnelled through 3 AI agents that will go out onto the internet and retrieve specific datapoints about the competitor; company overview, product offering and customer reviews. Once the agents are finished, the results are compiled into a report which is then inserted in a notion database. Check out an example output here: https://jimleuk.notion.site/2d1c3c726e8e42f3aecec6338fd24333?v=de020fa196f34cdeb676daaeae44e110&pvs=4 Requirements An OpenAI account for the LLM. Exa.ai account for access to their AI search engine. SerpAPI account for Google search. Firecrawl.dev account for webscraping. Notion.com account for database to save final reports. Customising the workflow Add additional agents to gather more datapoints such as SEO keywords and metrics. Not using notion? Feel free to swap this out for your own database.

Lead Scoring Pipeline – Matrix + Notion This workflow automatically enriches incoming form leads, applies a customizable scoring model, then routes high-value prospects to a Notion CRM database and a Matrix channel for instant sales notification. It streamlines lead qualification by combining third-party enrichment APIs, conditional logic, and asynchronous batching—eliminating manual research and ensuring your sales team focuses on the best opportunities. Pre-conditions/Requirements Prerequisites n8n instance (self-hosted or n8n cloud) ScrapeGraphAI community node installed Matrix community node installed Notion Integration (internal integration or Notion OAuth) Active third-party enrichment/validation APIs (e.g., Clearbit, Hunter, Kickbox) for scoring data A Notion database set up as your “Leads” table with fields: Name, Email, Company, Score, Status, Enrichment Required Credentials ScrapeGraphAI API Key** – For optional web-scraping based enrichment Notion OAuth2 / Integration Token** – To create & update pages in your CRM database Matrix Username & Password** – For sending room messages (Optional) Third-party API Keys** – Clearbit, Hunter, etc. Additional Setup Requirements | Setting | Example / Notes | |---------------------------------|----------------------------------------------------------| | Notion Database ID | 8f3d49e8c8f74e6f9d32e8e2bf7c1c46 | | Matrix Room ID | !aBcDeFgHiJ:matrix.org | | Scoring Threshold (env var) | LEAD_SCORE_MIN=70 | | Batch Size | SPLIT_IN_BATCHES=10 (controls parallel requests) | | Webhook URL for form submission | https://your-n8n-instance/webhook/leads | How it works This workflow automatically enriches incoming form leads, applies a customizable scoring model, then routes high-value prospects to a Notion CRM database and a Matrix channel for instant sales notification. It streamlines lead qualification by combining third-party enrichment APIs, conditional logic, and asynchronous batching—eliminating manual research and ensuring your sales team focuses on the best opportunities. Key Steps: Schedule / Webhook Trigger**: Starts on a schedule (daily) or via a form-submission webhook. Split in Batches**: Processes leads in manageable chunks to avoid rate limits. HTTP Requests**: Calls enrichment APIs (Clearbit, Hunter, etc.) to retrieve firmographic & technographic data. Code (Scoring Logic)**: Calculates a numeric lead score using weighted criteria (industry, employee count, email validity, etc.). If Node (Qualification)**: Checks if the computed score meets or exceeds the defined threshold. Notion Node**: Inserts or updates the qualified lead record in your Notion CRM database. Matrix Node**: Sends a rich-text message to the sales room with lead details and score. Wait + Merge**: Handles asynchronous API limits and merges enrichment data back into the main flow. Set up steps Setup Time: 15-25 minutes Clone the template in your n8n instance or import the JSON. Set environment variables (LEAD_SCORE_MIN, SPLIT_IN_BATCHES, API keys) in n8n Settings → Variables. Configure the Webhook/Schedule Trigger Webhook: copy the URL to your form provider Schedule: set cron (e.g., every hour). Update HTTP Request nodes with your enrichment API endpoints & headers. Map Notion fields: open the Notion node → choose your connection → select your Leads database → map data pins (Name, Email, etc.). Enter Matrix credentials & Room ID in the Matrix node. Adjust scoring weights in the Code node (weights object) to match your ICP (Ideal Customer Profile). Execute the workflow once with test data, verify Notion rows and Matrix messages. Activate the workflow and monitor via n8n’s execution list. Node Descriptions Core Workflow Nodes: Schedule Trigger / Webhook** – Initiates the workflow on time-based interval or form submission. SplitInBatches** – Limits API calls to avoid hitting rate caps. HTTP Request (Enrichment)** – Queries external services for company, domain, and email data. Set (Normalize)** – Formats API responses for scoring. Code (Score Calculator)** – JavaScript that assigns points based on business rules. If (Score ≥ Threshold?)** – Branches leads into “Qualified” or “Discard” paths. Notion (Create/Update Page)** – Inserts the qualified lead into Notion database. Matrix (Send Message)** – Notifies the sales team with lead context. Merge (Rejoin Streams)** – Consolidates asynchronous branches before completion. Sticky Note** – Documentation & config hints embedded directly in the canvas. Data Flow: Schedule/Webhook → SplitInBatches → HTTP Request (Enrichment) → Set → Code (Score) → If (Qualified?) → a. (Yes) Notion → Matrix b. (No) Wait (Cooldown) → Merge Customization Examples Change Scoring Weights // Code node snippet const weights = { employeeCount: 0.4, // increase influence of company size emailDeliverability: 0.2, industryMatch: 0.25, techStack: 0.15, }; Notify Different Matrix Rooms Based on Territory // If node expression {{ $json.country === 'US' ? '!usSales:matrix.org' : '!intlSales:matrix.org' }} Data Output Format The workflow outputs structured JSON data: { "name": "Jane Doe", "email": "[email protected]", "company": "Acme Co.", "enrichment": { "employeeCount": 120, "industry": "SaaS", "techStack": ["AWS", "React"] }, "score": 83, "qualified": true, "notionPageId": "9b2a4c09-0bf4-4b58-988a-1f361b0a2c20", "matrixEventId": "$15163622445EBvZJ:matrix.org" } Troubleshooting Common Issues Low or zero scores for valid leads – Review weighting logic and API response mapping in the Code node. Notion “Missing required property” error – Ensure all mandatory database fields are mapped and Notion token has write access. Matrix authentication failure – Double-check username/password or switch to an access token login method. Performance Tips Reduce SPLIT_IN_BATCHES size if you’re hitting API rate limits. Enable “Execute Once” during testing to prevent excess API usage. Pro Tips: Store enrichment API keys as n8n credentials, not hard-coded strings. Add a second If node to flag “Priority” leads (score > 90) for immediate follow-up. Use n8n’s built-in logging to create an audit trail by writing each execution to a Loggly/Datadog endpoint. This is a community template provided “as is.” Always test thoroughly in a non-production environment before activating in production.

The Daily Mood & Weather Logger 🚀 is more than just a utility; it's a hands-on n8n workflow designed to teach you core automation concepts. By setting up and exploring this template, you'll gain practical experience with triggers, API calls, data manipulation using the Code node, and integrating with external services like Notion. It automates tracking your daily mood alongside local weather, logging it all into a Notion database. 🎯 Learning Objectives: What You'll Master This workflow template is specifically structured to help you understand and practice: Workflow Triggers:** Scheduled Triggers: Learn how the Cron node initiates actions at specific times (e.g., daily). Webhook/Event-Based Triggers: Understand how the Telegram Trigger node listens for and reacts to external events (like a new message). Making API Calls:** See the HTTP Request node in action, querying the external OpenWeatherMap API to fetch real-time data. Understand how to configure API endpoints, query parameters, and handle API keys (using environment variables). Data Manipulation with Code:** Explore the Code node to write simple JavaScript for combining data from different sources (Telegram input and API response). Learn basic data structuring and transformation within n8n. Database Integration (Notion):** Discover how to use the Notion node to interact with a Notion database. Practice retrieving database information and, more importantly, creating new pages (entries/rows) with dynamic data. Environment Variables:** Learn the importance of using environment variables for managing sensitive information (like API keys) and configurable parameters (like city/location). Workflow Logic & Data Flow:** Observe how data passes between nodes and how different components work together to achieve a complete automation. Why This Workflow? (Beyond Learning) 🤔 While the primary goal is educational, the workflow itself is useful for: Automated Data Collection:** It prompts for mood via Telegram and fetches weather automatically. Consistent Logging:** Ensures daily entries into your Notion journal. Centralized Information:** Stores mood and weather data in a structured Notion database. Core Features & How They Teach You 🧩 Let’s break down how each part of the workflow demonstrates key n8n concepts: 📅 Daily Automation Cycle & Triggers: Daily Trigger (Cron node):* ⏰ Initiates the workflow daily. *Learning: This is your introduction to time-based automation. Observe its simple configuration for scheduling. Telegram Mood Prompt (Telegram node):* 📩 Sends a message. *Learning: Shows a basic "action" node interacting with an external service. Telegram Mood Capture (Telegram Trigger node):* 🎣 Listens for your reply. *Learning: A prime example of an event-driven trigger. See how it waits for user input to continue the workflow. 🌍 Fetching External Data (APIs): Weather Data Fetch (HTTP Request node for OpenWeatherMap):* 🌦️ Retrieves current weather. *Learning: The core of API interaction. Examine how the URL, query parameters (appid, q or lat/lon), and environment variables are used. Try changing the parameters! ⚙️ Processing Data (Code Node): Data Consolidation (Code node):* 🛠️ Combines mood and weather data. *Learning: A practical use of the Code node. Look at the JavaScript to understand how it accesses data from previous nodes ($input, $('Node Name')) and structures the output. 📝 Storing Data (Notion Integration): Notion Database Interaction (Notion nodes):** ✍️ "Retrieve Database": Gets database info. Learning: Demonstrates reading from Notion. "Add row into Notion": Logs the data. Learning: Shows how to write data to Notion, mapping your workflow data to specific Notion properties. This is a common pattern for many database integrations. Note: The template includes two paths for weather fetching (city name vs. lat/lon). This allows you to explore different ways to configure the HTTP Request node and manage input data. Getting Started: Your Learning Lab Setup 🛠️ Set up your learning environment: Import the Workflow: Add the .json to n8n. This is your starting blueprint! Set Up Environment Variables in n8n: OPEN_WEATHER_API_KEY: Your OpenWeatherMap API key. City: (e.g., "Paris") For city-based weather. latitude: (e.g., "18.834366") For coordinate-based weather. longitude: (e.g., "35.352342") For coordinate-based weather. Configure Node Credentials: Telegram: Link your Telegram API credentials in the "Send Mood Prompt" and "Wait for Mood Response" nodes. Notion: Connect your Notion API credentials in the "Retrieve Database" and "Add row into Notion" nodes. Personalize Node Settings (Experiment Here!): Daily Trigger (Cron Node): Change the "Trigger Times". How does this affect when the workflow runs? Send Mood Prompt (Telegram Node): Update the Chat ID (e.g., from =83495863) to your own. Modify the Text of the prompt. Notion Nodes: Set your target Database ID (e.g., replace 20e9c592...). Ensure your Notion database has properties like city, description, temperature, mood, etc., as defined in the "Add row into Notion" node. Try adding or removing properties to see what happens! Weather Fetching Path: Experiment with enabling one path (city name or lat/lon) and disabling the other. Observe how the HTTP Request node parameters differ. Ensure relevant environment variables are set. Activate and Test: Turn the workflow ON. Trigger it manually or wait for the Cron. Check each node’s output to understand the data flow. How The Automation Works (A Learning Recap) ⚙️ Follow the data and actions: TRIGGER: Cron node (scheduled) or Telegram Trigger (event-based after prompt). ACTION (Prompt): Telegram node sends a message. INPUT (User): You reply to the Telegram message. API CALL: HTTP Request node fetches weather using your API key and location. CODE PROCESSING: Code node merges your mood and the weather data. DATABASE WRITE: Notion node creates a new entry with the combined data. Use the n8n execution log to inspect the input and output of each node. This is invaluable for learning and debugging! Next Steps in Your Learning Journey 🚀 Once you're comfortable, try these to deepen your understanding: Modify the Code Node:** Add new data transformations. Can you format the date or extract more specific weather details? Change API Parameters:** Explore the OpenWeatherMap API docs. Can you fetch forecast data instead of current weather? Add Error Handling:** What happens if the API call fails? Explore the "Error Trigger" or "Continue on Fail" settings. Integrate a New Service:** Try sending a summary to email or another messaging app. Explore Different Trigger Types:** What other ways could this workflow be initiated? Requirements (Your Learning Kit) 📋 An active n8n instance. Telegram Bot API credentials. An OpenWeatherMap API Key. Notion API credentials & a configured Notion Database. Curiosity and a willingness to experiment! May your mood tracking be seamless and your weather always logged!

Purpose This workflow synchronizes three entities from Notion to Clockify, allowing tracked time to be linked to client-related projects or tasks. Demo & Explanation How it works On every run active Clients, Projects and Tasks are retrieved from both Notion and Clockify before being compared by the Clockify ID, which is again stored in Notion for reference Potential differences are then applied to Clockify If an item has been archived or closed in Notion, it is also marked as archived in Clockify All entities are processed sequentially, since they are related hierarchically to each other By default this workflow runs once per day or when called via webhook (e.g. embedded into a Notion Button) Prerequisites A set of Notion databases with a specific structure is required to use this workflow You can either start with this Notion Template or adapt your system based on the requirements described in the big yellow sticky note of this workflow template Setup Clone the workflow and select the belonging credentials Follow the instructions given in the yellow sticky notes Activate the workflow Related workflows: Backup Clockify to Github based on monthly reports Prevent simultaneous workflow executions with Redis

CallForge - AI-Powered Sales Call Data Processor Automate sales call analysis and store structured insights in Notion with AI-powered intelligence. Who is This For? This workflow is ideal for: ✅ Sales teams looking to automate call insight processing. ✅ Sales operations managers managing AI-driven call analysis. ✅ Revenue teams using Gong, Fireflies.ai, Otter.ai, or similar transcription tools. It streamlines sales call intelligence, ensuring that insights such as competitor mentions, objections, and customer pain points are efficiently categorized and stored in Notion for easy access. 🔍 What Problem Does This Workflow Solve? Manually reviewing and documenting sales call takeaways is time-consuming and error-prone. With CallForge, you can: ✔ Identify competitors mentioned in sales calls. ✔ Capture objections and customer pain points for follow-up. ✔ Track sales call outcomes and categorize insights automatically. ✔ Store structured sales intelligence in Notion for future reference. ✔ Improve sales strategy with AI-driven, automated call analysis. 📌 Key Features & Workflow Steps 🎙️ AI-Powered Call Data Processing This workflow processes AI-generated sales call insights and structures them in Notion databases: Triggers automatically when AI call analysis data is received. Extracts competitor mentions from the call transcript and logs them in Notion. Identifies and categorizes sales objections for better follow-ups. Processes integration mentions, capturing tools or platforms referenced in the call. Extracts customer use cases, categorizing pain points and feature requests. Aggregates all extracted insights and updates relevant Notion databases. 📊 Notion Database Integration Competitors → Logs mentioned competitors for sales intelligence. Objections → Tracks and categorizes common objections from prospects. Integrations → Captures third-party tools & platforms discussed in calls. Use Cases → Stores customer challenges & product feature requests. 🛠 How to Set Up This Workflow Prepare Your AI Call Analysis Data Ensure AI-generated sales call data is passed into the workflow. Compatible with Gong, Fireflies.ai, Otter.ai, and other AI transcription tools. Connect Your Notion Database Set up Notion databases for: 🔹 Competitors (tracks competing products) 🔹 Objections (logs customer objections & concerns) 🔹 Integrations (captures mentioned platforms & tools) 🔹 Use Cases (categorizes customer pain points & feature requests) Configure n8n API Integrations Connect your Notion API key** in n8n under “Notion API Credentials.” Set up webhook triggers** to receive data from your AI transcription tool. Test the workflow** using a sample AI-generated call transcript. CallForge - 01 - Filter Gong Calls Synced to Salesforce by Opportunity Stage CallForge - 02 - Prep Gong Calls with Sheets & Notion for AI Summarization CallForge - 03 - Gong Transcript Processor and Salesforce Enricher CallForge - 04 - AI Workflow for Gong.io Sales Calls CallForge - 05 - Gong.io Call Analysis with Azure AI & CRM Sync CallForge - 06 - Automate Sales Insights with Gong.io, Notion & AI CallForge - 07 - AI Marketing Data Processing with Gong & Notion CallForge - 08 - AI Product Insights from Sales Calls with Notion 🔧 How to Customize This Workflow 💡 Modify Notion Data Structure – Adjust fields to match your company’s CRM setup. 💡 Enhance AI Data Processing – Align fields with different AI transcription providers. 💡 Expand with CRM Integration – Sync insights with HubSpot, Salesforce, or Pipedrive. 💡 Add Notifications – Send alerts via Slack, email, or webhook when key competitor mentions or objections are detected. ⚙️ Key Nodes Used in This Workflow 🔹 If Nodes – Checks if AI-generated data includes competitors, integrations, objections, or use cases. 🔹 Notion Nodes – Creates or updates entries in Notion databases. 🔹 Split Out & Aggregate Nodes – Processes multiple insights and consolidates AI outputs. 🔹 Wait Nodes – Ensures smooth sequencing of API calls and database updates. 🔹 HTTP Request Node – Sends AI-extracted insights to Notion for structured storage. 🚀 Why Use This Workflow? ✔ Eliminates manual data entry and speeds up sales intelligence processing. ✔ Ensures structured and categorized sales insights for decision-making. ✔ Improves team collaboration with AI-powered competitor tracking & objections logging. ✔ Seamlessly integrates with Notion to centralize and manage sales call insights. ✔ Scalable for teams using n8n Cloud or self-hosted deployments. This workflow empowers sales teams with automated AI insights, streamlining sales strategy and follow-ups with minimal effort. 🚀

This workflow converts Notion pages to markdown, and then converts that markdown back to Notion blocks. It will triple the content of the last updated page it finds. This is useless by itself, but you can copy-paste from this workflow to create your own. Prerequisites A notion account with some pages or databases Setup instructions Create a notion credential and share some pages as described here: https://docs.n8n.io/integrations/builtin/credentials/notion/ How it works The HTTP Request gets notion child blocks from a page, because the default n8n block only gets plain text and no links. The first code block converts it to markdown. The second code block converts it back to Notion blocks The last HTTP block appends everything to the original Notion page, essentially duplicating it for the purpose of demoing the script. I hope in the future we get official n8n blocks that extract markdown, or use markdown to write to Notion. There is community block that also does this, but this template is easier: you can simply copy-paste the blocks from this workflow.

This workflow automates the process of retrieving Hugging Face paper summaries, analyzing them with OpenAI, and storing the results in Notion. Here’s a breakdown of how it works: ⏰ Scheduled Trigger: The flow is set to run automatically at 8 AM on weekdays. 📄 Fetching Paper Data: It fetches Hugging Face paper summaries using their API. 🔍 Data Check: Before processing, the workflow checks if the paper already exists in Notion to avoid duplicates. 🤖 Content Analysis with OpenAI: If the paper is new, it extracts the summary and uses OpenAI to analyze the content. 📥 Store Results in Notion: After analysis, the summarized data is saved in Notion for easy reference. ⚙️ Set Up Steps for Automation Follow these steps to set up this automated workflow with Hugging Face, OpenAI, and Notion integration: 🔑 Obtain API Tokens: You’ll need the Notion and OpenAI API tokens to authenticate and connect these services with n8n. 🔗 Integration in n8n: Link Hugging Face, OpenAI, and Notion by configuring the appropriate nodes in n8n. 🔧 Configure Workflow Logic: Set up a cron trigger for automatic execution at 8 AM on weekdays. Use an HTTP request node to fetch Hugging Face paper data. Add logic to check if the data already exists in Notion. Set up the OpenAI integration to analyze the paper’s summary. Store the results in Notion for easy access and reference. Result:

Who is this for? This template is designed for social media managers, content creators, data analysts, and anyone who wants to automatically save and analyze their Meta Threads posts in Notion. It’s particularly useful for: Building a personal archive of your Threads content. Training AI models using your social media data. Tracking your online presence and engagement. What this workflow does This workflow uses the Meta Threads API to automatically retrieve your posts and import them into a Notion database. It retrieves the post content, date, and time, and stores them in designated properties within your Notion database. Setup Get Threads Access Token and ID: Obtain a long-lived access token and your Threads ID from the Meta Threads developer platform. This token auto-refreshes, ensuring uninterrupted workflow operation. Configure Credentials and Date Range: In the “Set Credentials” node (using edit fields), enter your token and ID. Set the since and until parameters in the “Set Date Range” node to specify the post import period. Connect to Notion and Create a Database: Connect to your Notion workspace and create a database with these properties (customize with the “Create Properties” node): a. Title: Threads post URL (Notion entry title). b. Threads ID: Unique post ID (prevents duplicate imports). c. Username: Post author (for future multi-account/source management). d. Post Date: Original post date. e. Source (Multi-Select): “Threads” tag (for future multi-platform import and filtering). f. Created: Import date and time. g. Import Check (Optional): For use with a separate post-categorization workflow.

This template is based on the following template. Thank you for the groundwork, Matheus. How it works: Store your snippets of text in a Notion table. Each snippet should have an image associated with it (copy + pasted into the text) Connect to your table via a Notion "integration", from which N8N can then query your pre-meditated posts The text is fed through an OpenAI assistant to boost engagement via formatting The re-formatted text along with the image pulled from the Notion snippet are combined into a post for your LinkedIn The row in the original Notion table from step 1 containing this post is set to a status of "Done" Set up steps: You will need to create a Notion "integration", which will yield a "secret key" which you enter into your N8N as a "Credential". You will need to create a LinkedIn "app" in order to post on your behalf. When creating your LinkedIn "app", you will be required to link this "app" to a company page on LinkedIn. If you are doing this for yourself, seach for the "Default Company Payge (for API testing)", and select this page as it is provided by LinkedIn for individuals. You can find your LinkedIn apps here, and if you get stuck, further instructions on setting up this workflow (including this LinkedIn OAuth piece) can be found in this YouTube Video Aide to these instructions. Lastly, you will need to create an OpenAI API key, found on your OpenAI Playground Dashboard. Once you created an API key, make sure you have an assistant created from the "Assistants" tab on the OpenAI dashboard. This assistant and its instructions will be needed for carrying out the re-formatting of your post.

This workflow automates daily LinkedIn posts using Notion. It starts by fetching the day's post from a Notion database, processes and formats the content, including images, then publishes it on LinkedIn. Finally, it updates the post status in the Notion database. Set up Notion and LinkedIn credentials as required.

📘 Description This workflow is an AI-driven FX concept generation pipeline that transforms a single VFX brief into multiple high-quality simulation-ready video concepts. It automates ideation, rendering, storage, and team review—bridging the gap between creative direction and simulation execution. ⚙️ Step-by-Step Flow The process begins with a webhook trigger that serves as the FX brief intake layer, receiving a POST request containing the core FX brief, shot code, and optional parameters such as FX type, scale, intensity, and camera details. This input then moves through a validation and normalization stage, where required fields are verified and key attributes—such as FX type (fire, smoke, explosion), camera movement, frame range, FPS, scale, intensity, and speed—are standardized for consistency. Following this, the system performs prompt engineering and fans out the single brief into four creative variations: a primary reference (balanced), a high-intensity version (extreme simulation), a subtle version (controlled low-intensity FX), and an alternate camera variation offering a different perspective. Each variation is enriched with detailed cinematic instructions, including camera behavior, speed dynamics, and frame timing. At the core of the workflow, a dynamic generation mode determines whether to use image-to-video (if a reference image is provided) or text-to-video (if not), ensuring flexibility across both concepting and plate-matching use cases. Each variation is then submitted as an independent job to the Seedance API for AI rendering, returning unique job IDs for asynchronous tracking. A polling system manages execution by checking the job status every 20 seconds and continues until rendering is complete, handling each variation independently. Once completed, the system structures detailed metadata for each asset, including the video URL, FX type, scale, intensity, camera movement, frame specifications, and relevant tags for tracking and review. The asset storage pipeline then downloads the generated videos, uploads them to Google Drive using a structured naming convention, and logs all associated metadata into a Notion database for organized tracking. An aggregation layer consolidates all variations into a single structured output, combining video links, Notion records, and technical metadata. Finally, a Slack review dispatch sends a well-formatted message to the FX team, presenting all variations in one place with direct video previews, along with a technical breakdown covering scale, intensity, camera settings, and FPS, as well as Notion links for streamlined tracking and review. 🚨 Error Handling • Global error trigger • Sends Slack alert with failure details • Ensures no lost jobs or silent failures 🧩 Prerequisites • Seedance API (AI video generation) • Google Drive OAuth2 • Notion API • Slack OAuth2 • Webhook integration 💡 Key Benefits ✔ Rapid FX concept iteration (4 variations instantly) ✔ Structured prompt engineering for consistent outputs ✔ Automatic handling of camera, timing, and simulation context ✔ Integrated storage (Drive + Notion) ✔ Centralized team review via Slack ✔ Supports both concept art and simulation previsualization 👥 Perfect For VFX studios Simulation teams (Houdini, FX artists) Previsualization pipelines Creative direction teams AI-assisted film production systems

📘 Description This workflow is an AI-assisted clean plate and object removal pipeline built for modern VFX production environments. It transforms a single plate image and removal brief into multiple high-quality clean plate variations, complete with automated quality evaluation, compositing-ready assets, and production-ready Nuke scripts—bridging the gap between manual paint workflows and fully automated AI-driven cleanup pipelines. ⚙️ Step-by-Step Flow 1 . The workflow begins with a webhook trigger that acts as the clean plate request intake layer, receiving a POST request containing the plate image URL, removal brief, shot code, and optional parameters such as object type, frame range, and QC thresholds. This input flows into a validation and data structuring stage, where required fields are verified, default values are assigned, and the payload is normalized to ensure consistency across downstream processes. The system then performs prompt engineering and expands the single removal brief into four specialized passes: a primary production-ready clean plate, an alternative variation, a foreground removal pass for background isolation, and a difference map for quality control visualization. Each pass is enriched with object-specific removal instructions, reconstruction constraints, and technical shot metadata to guide accurate AI generation. 2 . At the core of the pipeline, an image-to-video rendering process leverages the provided plate image as a reference and submits each variation as an independent job to the Seedance AI API, generating video-based clean plate outputs. A polling mechanism continuously tracks each job at fixed intervals, ensuring that processing only advances once rendering is successfully completed. Once outputs are available, a metadata and automated QC layer evaluates each pass by assigning a quality score based on resolution and consistency logic, comparing it against a predefined threshold to classify results as either auto-approved or flagged for review. A decision routing layer then determines the next step—allowing approved outputs to continue through the pipeline while immediately notifying the team via Slack in case of failures. 3 . Following this, the system generates a fully production-ready Nuke compositing script, automatically configuring nodes for the original plate, AI-generated clean plate, difference map visualization, merge operations, grading adjustments, and final output writes, all aligned with standardized folder structures and naming conventions. The asset pipeline then downloads the generated videos, uploads them to Google Drive using structured shot-based organization, and logs all associated metadata—including plate references, output variations, and project details—into a Notion database for centralized tracking. An aggregation layer consolidates all outputs into a unified structured response, combining QC results, video links, compositing scripts, and storage paths. Finally, a multi-channel notification system dispatches a detailed message to Slack and Telegram, presenting all clean plate variations with QC status, video previews, inline Nuke scripts, and direct access to delivery folders for seamless team review and integration into production workflows. 🚨 Error Handling • Global error trigger • Sends failure alerts to Slack instantly • Prevents silent pipeline failures and data loss 🧩 Prerequisites • Seedance API (AI video generation) • Google Drive OAuth2 • Notion API • Slack + Telegram credentials • Webhook integration 💡 Key Benefits ✔ Fully automated clean plate generation with zero manual prep ✔ Multiple AI-generated passes for flexible compositing workflows ✔ Built-in QC validation with intelligent decision routing ✔ Auto-generated Nuke scripts ready for production use ✔ Structured asset storage and centralized tracking ✔ Real-time notifications for faster team collaboration 👥 Perfect For VFX paint and prep teams Compositors working in Nuke pipelines Film and post-production studios AI-assisted cleanup and restoration workflows Studios managing high-volume plate processing

How it works This workflow triggers when a HubSpot deal stage changes to Closed Won and automatically generates an invoice. It collects deal and contact data, builds a styled invoice, converts it into a PDF, and sends it to the client. The system logs all invoices and alerts the team, then monitors payment status with automated reminders. If payment is delayed, it escalates the issue and handles errors separately. Step-by-step Trigger and data collection** HubSpot - Deal Trigger – Starts workflow on deal stage change. IF - Is Deal Closed Won? – Filters only Closed Won deals. HTTP - Get Deal Details – Fetches deal information. HTTP - Get Deal Associations – Retrieves linked contacts. Code - Extract Contact ID – Extracts and formats data. HTTP - Get Contact Details – Gets customer details. Invoice generation** Code - Build Invoice + HTML – Creates invoice data and HTML layout. Send and store invoice** HTTP - Generate PDF – Converts HTML into PDF. Google Sheets - Log Invoice – Stores invoice records. Notion - Create Invoice Record – Tracks invoice internally. Gmail - Send Invoice Email – Sends invoice to client. Slack - Invoice Sent Alert – Notifies team. Payment tracking and follow-up** Wait - 7 Day Payment Window – Waits before checking payment. HTTP - Recheck Deal Stage – Checks payment status. IF - Payment Received? – Branches based on payment. Gmail - Follow-up Email #1 – Sends reminder if unpaid. Wait - 5 More Days – Adds extra delay. HTTP - Final Payment Check – Verifies final status. Slack - Payment Confirmed – Confirms successful payment. Escalation handling** IF - Still Unpaid? (Escalate) – Detects overdue invoices. Slack - Escalation Alert – Alerts team for action. Notion - Flag as Overdue – Updates record status. Slack - Late Payment Confirmed – Handles delayed payments. Error handling (separate flow)** Error Trigger – Captures workflow failures. Slack - Workflow Error Alert – Sends error notification. Why use this? Fully automates invoicing from deal closure to payment tracking Reduces manual billing work and human errors Improves payment collection with automated reminders Provides clear visibility with logs and team alerts Ensures reliability with built-in error monitoring