MySQL and Google Sheets integration

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

AI-Powered Tech Radar Advisor This project is built on top of the famous open source ThoughtWorks Tech Radar. You can use this template to build your own AI-Powered Tech Radar Advisor for your company or group of companies. Target Audience This template is perfect for: Tech Audit & Governance Leaders:** Those seeking to build a tech landscape AI platform portal. Tech Leaders & Architects:** Those aiming to provide modern AI platforms that help others understand the rationale behind strategic technology adoption. Product Managers:** Professionals looking to align product innovation with the company's current tech trends. IT & Engineering Teams:** Teams that need to aggregate, analyze, and visualize technology data from multiple sources efficiently. Digital Transformation Experts:** Innovators aiming to leverage AI for actionable insights and strategic recommendations. Data Analysts & Scientists:** Individuals who want to combine structured SQL analysis with advanced semantic search using vector databases. Developers:** Those interested in integrating RAG chatbot functionality with conversation storage. Description Tech Constellation is an AI-powered Tech Radar solution designed to help organizations visualize and steer their technology adoption strategy. It seamlessly ingests data from a Tech Radar Google Sheet—converting it into both a MySQL database and a vector index—to consolidate your tech landscape in one place. The platform integrates an interactive AI chat interface powered by four specialized agents: AI Agent Router:** Analyzes and routes user queries to the most suitable processing agent. SQL Agent:** Executes precise SQL queries on structured data. RAG Agent:** Leverages semantic, vector-based search for in-depth insights. Output Guardrail Agent:** Validates responses to ensure they remain on-topic and accurate. This powerful template is perfect for technology leaders, product managers, engineering teams, and digital transformation experts looking to make data-driven decisions aligned with strategic initiatives across groups of parent-child companies. Features Data Ingestion A Google Sheet containing tech radar data is used as the primary source. The data is ingested and converted into a MySQL database. Simultaneously, the data is indexed into a vector database for semantic (vector-based) search. Interactive AI Chat Chat Integration:** An AI-powered chat interface allows users to ask questions about the tech radar. Customizable AI Agents:** AI Agent Router: Determines the query type and routes it to the appropriate agent. SQL Agent: Processes queries using SQL on structured data. RAG Agent: Performs vector-based searches on document-like data. Output Guardrail Agent: Validates queries and ensures that the responses remain on-topic and accurate. Usage Examples Tell me, is TechnologyABC adopted or on hold, and why? List all the tools that are considered part of the strategic direction for company3 but are not adopted. Project Links & Additional Details GitHub Repository (Frontend Interface Source Code):** github.com/dragonjump/techconstellation Try It:** https://scaler.my

📝 Compliance Report Collector (Google Form → Drive + MySQL) This n8n workflow automates the collection and archival of compliance reports submitted via Google Forms. Uploaded documents (PDF, DOCX, etc.) are archived into Google Drive and submission metadata is logged into a MySQL database. It ensures compliance documentation is properly stored, searchable and auditable without manual effort. ⚡ Quick Implementation Steps Import the JSON file into n8n. Set up a Google Form to POST file + metadata (reporter, category, etc.) to the /submit-report webhook. Update the Set Config node with your: MySQL connection details Google Drive folder ID Deploy and test a form submission with a file upload. Each report is stored in Drive and logged to your DB. 🎯 Who’s It For Compliance officers handling environmental or safety reports. Admins managing documentation for inspections. Renewable energy companies required to maintain audit-ready records. Any org needing structured report archival & metadata logging. 🛠 Requirements | Tool | Purpose | |------|---------| | n8n Instance | Workflow automation | | Google Drive | To archive uploaded reports | | MySQL Database | To log submission metadata | | Google Forms / HTML Form | Report submission source | 🧠 What It Does Listens for incoming POST requests with a file and metadata. Uploads the file to a specified Google Drive folder. Extracts metadata like: Reporter name Category/type Timestamp File name, MIME type Logs that metadata into a MySQL table for auditing or reporting. 🧾 Sample MySQL Table Schema CREATE TABLE report_logs ( id INT AUTO_INCREMENT PRIMARY KEY, reporter VARCHAR(100), category VARCHAR(100), timestamp DATETIME, file_name VARCHAR(255), mime_type VARCHAR(50), folder_id VARCHAR(100) ); 🔧 How To Set Up – Step-by-Step Import the JSON into n8n. Configure the following in the Set Config node: MySQL: dbHost, dbUser, dbPassword, dbName, dbTable Google Drive: driveFolderId Update the webhook URL in your Google Form (via Apps Script or middleware). Test submission with a file upload. Confirm: File lands in your Drive folder Log entry appears in your database ✨ How To Customize | Customization | How | |---------------|-----| | Add more form fields | Extend the metadata mapping in the Function node | | Rename files before upload | Modify filename in Google Drive node | | Add email confirmation | Add an Email Send node after DB insert | | Filter file types | Add IF node before upload to validate MIME type | ➕ Add‑ons (Optional Extensions) | Add-on | Description | |--------|-------------| | 📤 Email Acknowledgment | Email sender a confirmation with Drive link | | 🧾 PDF Parser | Auto-parse content using PDF.co or OpenAI | | 📊 Admin Dashboard | Display logs in Supabase or Metabase | | 🗃 File Backup | Copy files to Dropbox or S3 after Drive upload | 📈 Use Case Examples Collect monthly safety audits from plant staff into a Drive archive. Accept vendor compliance declarations via Google Form and auto-log to DB. Capture field inspection reports and tag by category for audit. Store weekly environmental reports for long-term access. 🧯 Troubleshooting Guide | Issue | Possible Cause | Solution | |-------|----------------|----------| | File not uploaded | Drive ID is invalid | Check permissions and folder ID | | DB not logging | Connection or table issue | Verify DB credentials and schema | | Webhook not triggered | Form not integrated correctly | Ensure form POSTs file to n8n webhook | | Wrong file type | MIME mismatch | Validate acceptable types via Function/IF node | 📞 Need Help? Want to integrate this with audit dashboards or add Google Sheet exports? 👉 Contact WeblineIndia — Experts in compliance automation and renewable energy workflows.

📝 Sync MySQL Rows to Google Sheet Description: This n8n template automates the process of syncing new records from a MySQL database table into a Google Sheet, ideal for reporting, backup, or lightweight dashboards. It is designed for teams or individuals who need to periodically export new data rows from a custom database (e.g., CRM, registrations, surveys) into a structured Google Sheet for further analysis, sharing, or archiving—without duplicates. 🛠️ What This Workflow Does: Runs every 15 minutes** via a schedule trigger. Selects unsynced rows** (sync = 0) from a MySQL table (fifa25_customers). Checks if records exist** to prevent unnecessary writes. Appends records to a Google Sheet**, mapping fields like name, email, phone, gender, and more. Updates the MySQL table** to mark those rows as synced (sync = 1) to avoid reprocessing. Fully annotated using sticky notes for easier understanding and onboarding. 📋 Setup Instructions: Create or select a Google Sheet and make sure the columns match the following: id, name, phone, birthdate, email, region, gender, datatime Ensure your MySQL table (fifa25_customers) has a sync column (default = 0 for new rows). Connect your MySQL and Google Sheets credentials inside n8n. (Optional): Add custom filtering or column transformations as needed. 👤 Who Is It For? Marketers syncing leads to a spreadsheet Ops teams pulling user data from internal tools Analysts logging form submissions or customer data Anyone needing lightweight scheduled ETL from MySQL to Sheets 🔐 Credentials Required: MySQL** Google Sheets OAuth2** ✅ Best Practices Followed: Uses IF node to prevent unnecessary processing Updates source database to avoid duplicates Includes sticky notes for clarity All columns are explicitly mapped Works out-of-the-box on any n8n instance with proper creds

This workflow performs several data integration and synchronization tasks between Google Sheets and a MySQL database. Here is a step-by-step description of what this workflow does: Manual Trigger: The workflow starts when the user clicks "Execute Workflow." Schedule Trigger: This node schedules the workflow to run at specific intervals on weekdays (Monday to Friday) between 6 AM and 10 PM. It ensures regular data synchronization. Google Sheet Data: This node connects to a specific Google Sheets document and retrieves data from the "Form Responses 1" sheet, filtering by the "DB Status" column. SQL Get inquiries from Google: This node retrieves data from a MySQL database table named "ConcertInquiries" where the "source_name" is "GoogleForm." Rename GSheet variables: This node renames the columns retrieved from Google Sheets and transforms the data into a format suitable for MySQL, assigning a value for "source_name" as "GoogleForm." Compare Datasets: This node compares the data retrieved from Google Sheets and the MySQL database based on timestamp and source_name fields. It identifies changes and updates. No reply too long?: This node checks if there has been no reply within the last four hours, using the "timestamp" field from the Google Sheets data. DB Status assigned?: This node checks if the "DB Status" field is not empty in the compared dataset. Update GSheet status: If conditions are met in the previous nodes, this node updates the "DB Status" field in Google Sheets with the corresponding value from the MySQL dataset. DB Status in sync?: This node checks if the "source_name" field in Google Sheets is not empty. Sync MySQL data: If conditions are met in the previous nodes, this node updates the "source_name" field in the MySQL database to "GoogleFormSync." Send Notifications: If conditions are met in the "No reply too long?" node, this node sends notifications or performs actions as needed. Sticky Notes: These nodes provide additional information and documentation links for users.

This workflow queries a table in MySQL and inserts the data into Google Sheets.