Browse 12,955 Workflows

By Kunsh

A streamlined AI-powered tool that extracts actionable technical insights from HackerOne security reports for advanced bug bounty hunters. How It Works Send any HackerOne report URL (e.g., https://hackerone.com/reports/123456) to the chat interface. The AI agent will: Fetch the report JSON automatically Analyze for unique techniques, payloads, and root causes Extract reusable insights in a structured format Summarize with practical pentesting value Setup Requirements Google Gemini API credentials configured Chat interface deployed and accessible HackerOne report URLs Output Format Summary: One-liner impact statement Techniques: Payloads, code snippets, exploitation steps Pro Tips: Reusable insights for future hunts Perfect for rapid triage and building your personal exploit knowledge base. An n8n automation workflow template by Kunsh.

By Nabin Bhandari

Who’s it for This template is designed for bakeries, event planners, and e-commerce platforms that want to automatically generate custom cake designs. It’s also ideal for marketers or digital creators who need personalized celebratory visuals for social media or email campaigns. How it works This workflow converts simple user input (e.g., “Sarah’s Birthday”) into a creative cake design: Webhook: Captures user input from the Bolt frontend form. OpenAI GPT: Generates a detailed and creative cake design prompt. Replicate Flux Schnell: Produces a unique cake image using the AI-generated prompt. HTTP Response: Sends the final cake image back to the frontend. How to set up Import this template into n8n. Add your OpenAI API Key under n8n Credentials for the OpenAI Chat Model node. Add your Replicate API Token as an HTTP Header Auth credential (do not hardcode it). Update the Webhook node URL in the Bolt frontend form to send a POST request to n8n. (Optional) Customize the OpenAI prompt in the Prompt Generator node to adjust cake style, colors, or decorations. Requirements n8n account (cloud or self-hosted). OpenAI API Key** for prompt generation. Replicate API Token** for AI image generation. A Bolt frontend or any form that can call the webhook endpoint. How to customize the workflow Replace "cake" with any product type (e.g., mugs, greeting cards, or T-shirts). Add a database node (Google Sheets or Supabase) to log user requests and images. Implement input moderation by adding an OpenAI moderation node before the prompt generation. Frontend. An n8n automation workflow template by Nabin Bhandari.

By Marth - Business Automation

How It Works ⚙️ This workflow is designed to streamline your proposal generation, turning raw client data into a professional document automatically. Here's a step-by-step breakdown of its operation: Trigger (Form): 🚀 The workflow starts when new client data is received via the n8n form. This form serves as the primary input for client details. Prepare AI Prompt & Client Info (Function): 🧹 This node takes the incoming client data from the form and intelligently formats it into a precise prompt for the AI. It also extracts key client details like email and name for later use. Generate Proposal Content (AI): 🧠 The prepared prompt is fed to OpenAI's GPT-4o. The AI then drafts a detailed proposal outline, including problem summary, solutions, scope, and milestones, all structured in a perfect JSON format. Generate Proposal PDF (PDFmonkey): 📄 The AI-generated JSON content is then sent to PDFmonkey. This service takes the structured data and populates it into your pre-designed PDF proposal template, creating a beautiful and professional document. Wait (for PDFmonkey Webhook): ⏳ Crucially, this node pauses the workflow, waiting for PDFmonkey to send a callback webhook indicating that the PDF document has been successfully generated and is ready for download. This ensures reliability. Download Generated PDF (HTTP Request): 💾 Once notified by PDFmonkey, this node sends an HTTP request to download the final PDF document from PDFmonkey's servers. Prepare Email Data (Function): 📧 This node consolidates all the necessary information—client email, name, company, the downloaded PDF's binary data, and the proposal title—preparing it for the final email sending step. Send Proposal Email to Client (Gmail): ✅ The workflow's grand finale! This node compiles a personalized email to the client, attaching the newly generated PDF proposal. It ensures your professional proposal reaches the client's inbox swiftly and automatically. How to Set Up 🛠️ Follow these steps carefully to get your "Automated AI Proposal Generator" workflow up and running: Import Workflow JSON: Open your n8n instance. Click on 'Workflows' in the left sidebar. Click the '+' button or 'New' to create a new workflow. Click the '...' (More Options) icon in the top right. Select 'Import from JSON' and paste the provided workflow JSON code. Configure Credentials: OpenAI Node ("2. Generate Proposal Content (AI)"): Click on this node. Under 'Credentials', select your existing OpenAI API Key credential or click 'Create New' to set one up. PDFmonkey HTTP Request Node ("3. Generate Proposal PDF (PDFmonkey)" & "5. Download Generated PDF"): Important: In both of these nodes, under 'Header Parameters', the 'Authorization' value is currently a placeholder string Bearer YOUR_PDFMONKEY_API_KEY_HERE. You MUST replace this with an n8n credential. Recommendation: Create a 'Generic Credential' in n8n (e.g., named 'PDFmonkey API Key') and store your PDFmonkey API Key there. Then, update the 'Authorization' header's value to = {{ $connections['PDFmonkey API Key'].apiKey }}. Important: Replace 5A836F8C-33AE-405C-A545-B86992D17FCC with your actual PDFmonkey Document Template ID. This template must be designed in PDFmonkey to accept the JSON output from OpenAI. Gmail Node ("7. Send Proposal Email to Client"): Click on this node. Under 'Authentication', select your existing Gmail OAuth2 credential or create a new one. Set Up PDFmonkey Webhook (for '4. Wait' node): The '4. Wait (for PDFmonkey Webhook)' node is crucial for ensuring the PDF is ready before downloading. This node uses a Webhook ID: 3df60168-7ab4-4772-bd33-376063b3f986. Go to your PDFmonkey account settings and configure a Webhook: Set the 'Event' to document.succeeded. Set the 'Target URL' to your n8n webhook URL for this specific workflow. You can find this URL by activating the workflow and inspecting the URL of the 'Form Trigger' or by adding a temporary 'Webhook' node. Configure Trigger Node (this is now the '0. Form Trigger'): When you import this JSON, the '0. Form Trigger (Client Data Input)' node will be ready. To use it: Simply activate the workflow. n8n will provide a URL for this form. You can share this URL with your clients or team to collect the data directly. The form fields are already defined based on the previous input structure. Customize Email Details: Gmail Node ("7. Send Proposal Email to Client"): Replace your-agency-email@example.com with the actual email address you want the proposals to be sent from.\n * (Optional) Modify the email subject and body text to match your agency's branding and tone. Review and Activate: Thoroughly review all node configurations to ensure all placeholders (<YOUR_...HERE>) are replaced and settings are correct. Click the 'Save' button in the top right corner. Finally, toggle the 'Inactive' switch to 'Active' to enable your workflow. 🟢 Your automated AI proposal generator is now live and ready to empower your sales efforts!. An n8n automation workflow template by Marth - Business Automation.

By Rizky Febriyan

How It Works This workflow automates the analysis of security alerts from Sophos Central, turning raw events into actionable intelligence. It uses the official Sophos SIEM integration tool to fetch data, enriches it with VirusTotal, and leverages Google Gemini to provide a real-time threat summary and mitigation plan via Telegram. Prerequisite (Important): This workflow is triggered by a webhook that receives data from an external Python script. You must first set up the Sophos-Central-SIEM-Integration script from the official Sophos GitHub. This script will fetch data and forward it to your n8n webhook URL. Tool Source Code: Sophos/Sophos-Central-SIEM-Integration The n8n Workflow Steps Webhook: Receives enriched event and alert data from the external Python script. IF (Filter): Immediately filters the incoming data to ensure only events with a high or critical severity are processed, reducing noise from low-priority alerts. Code (Prepare Indicator): Intelligently inspects the Sophos event data to extract the primary threat indicator. It prioritizes indicators in the following order: File Hash (SHA256), URL/Domain, or Source IP. HTTP Request (VirusTotal): The extracted indicator is sent to the VirusTotal API to get a detailed reputation report, including how many security vendors flagged it as malicious. Code (Prompt for Gemini): The raw JSON output from VirusTotal is processed into a clean, human-readable summary and a detailed list of flagging vendors. AI Agent (Google Gemini): All collected data—the original Sophos log, the full alert details, and the formatted VirusTotal reputation—is compiled into a detailed prompt for Gemini. The AI acts as a virtual SOC analyst to: Create a concise incident summary. Determine the risk level. Provide a list of concrete, actionable mitigation steps. Telegram: The complete analysis and mitigation plan from Gemini is formatted into a clean, easy-to-read message and sent to your specified Telegram chat. Setup Instructions Configure the external Python script to forward events to this workflow's Production URL. In n8n, create Credentials for Google Gemini, VirusTotal, and Telegram. Assign the newly created credentials to the corresponding nodes in the workflow. An n8n automation workflow template by Rizky Febriyan.

By moosa

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🚀 Overview This workflow enables a powerful AI-driven virtual assistant that dynamically responds to website queries using webhook input, Pinecone vector search, and OpenAI agents — all smartly routed based on the source website. 🔧 How It Works Webhook Trigger The workflow starts with a Webhook node that receives query parameters: query: The user's question userId: Unique user identifier site: Website identifier (e.g., test_site) page: Page identifier (e.g., homepage, pricing) Smart Routing A Switch node directs the request to the correct AI agent based on the site value. Each AI agent uses: OpenAI GPT-4/3.5 model Pinecone vector store for context-aware answers SQL-based memory for consistent multi-turn conversation Contextual AI Agent Each agent is customized per website using: Site-specific Pinecone namespaces Predefined system prompts to stay in scope Webhook context including page, site, and userId Final Response The response is sent back to the originating website using the Respond to Webhook node. 🧠 Use Case Ideal for multi-site platforms that want to serve tailored AI chat experiences per domain or page — whether it’s support, content discovery, or interactive agents. ✅ Highlights 🧠 Vector search using Pinecone for contextual responses 🔀 Website-aware logic with Switch node routing 🔐 No hardcoded API keys 🧩 Modular agents for scalable multi-site support. An n8n automation workflow template by moosa.

By Marth - Business Automation

How It Works ⚙️ This workflow is designed to streamline your monthly financial reporting, turning raw transaction data into actionable insights automatically. Here's a step-by-step breakdown of its operation: Trigger (Cron Node): ⏰ The workflow kicks off automatically on a pre-defined schedule, typically the 1st day of every month, ensuring timely report generation without manual intervention. Get Finance Transactions (Google Sheets): 📊 The first functional node connects to your designated Google Sheet. It reads all the transaction data from the specified range (e.g., 'FinanceSummary!A:E'), acting as the primary data input for the report. Filter Previous Month Transactions (Function): 🧹 Once the data is retrieved, this custom JavaScript function meticulously filters out only those transactions that occurred in the complete previous month. This ensures your report is always focused on the most relevant, recently concluded period. Generate AI Financial Insights (OpenAI): 🧠 The filtered transaction data is then passed to OpenAI's GPT-4 model. Here, the AI acts as your personal finance assistant, analyzing the data to: Calculate the total income. Calculate the total expense. Generate 3 concise, key financial insights in bullet points, helping you quickly grasp the financial health and trends. Send Monthly Finance Report Email (Gmail): 📧 Finally, all the processed information comes together. This node constructs a comprehensive email, embedding: A table summarizing all the previous month's transactions. The valuable AI-generated total income, total expense, and key insights. The email is then automatically sent to your designated finance recipients, delivering the report directly to their inbox. Set Up Steps 🚀 Follow these steps carefully to get your "Finance Monthly Report with AI Insight" workflow up and running: Import Workflow JSON: Open your n8n instance. Click on 'Workflows' in the left sidebar. Click the '+' button or 'New' to create a new workflow. Click the '...' (More Options) icon in the top right. Select 'Import from JSON' and paste the provided workflow JSON code. Configure Credentials: Google Sheets Node ("1. Get Finance Transactions"): Click on this node. Under 'Authentication', select your existing Google Sheets OAuth2 credential or click 'Create New' to set one up. Important: Replace <YOUR_GOOGLE_SHEET_ID_HERE> in the 'Sheet ID' field with the actual ID of your Google Sheet. OpenAI Node ("3. Generate AI Financial Insights"): Click on this node. Under 'Authentication', select your existing OpenAI API Key credential or create a new one if you haven't already. Gmail Node ("4. Send Monthly Finance Report Email"): Click on this node. Under 'Authentication', select your existing Gmail OAuth2 credential or create a new one. Customize Email Details: Gmail Node ("4. Send Monthly Finance Report Email"): Replace <YOUR_SENDER_EMAIL_HERE> with the email address you want the report to be sent from. Replace <YOUR_RECIPIENT_EMAIL_HERE> with the email address(es) you want the report to be sent to (multiple emails can be separated by commas). You can also adjust the 'Subject' if needed. Add & Configure Cron Trigger: Click the '+' icon at the very beginning of the workflow (where it says "first step..."). Search for "Cron" and select the 'Cron' node. Connect: Drag a connection from the Cron node to "1. Get Finance Transactions (Google Sheets)". Schedule: Configure the Cron node to your desired monthly schedule. For example: Set 'Mode' to 'Every Month'. Set 'On Day of Month' to '1' (to run on the first day of each month). Set 'At Time' to a specific time (e.g., '09:00' for 9 AM). Review and Activate: Thoroughly review all node configurations to ensure all placeholders are replaced and settings are correct. Click the 'Save' button in the top right corner. Finally, toggle the 'Inactive' switch to 'Active' to enable your workflow. 🟢 Your automated monthly finance report is now live! Troubleshooting Tip: If the workflow fails, check the 'Executions' tab in n8n for detailed error messages. Common issues include incorrect sheet IDs, invalid API keys, or data format mismatches in your Google. An n8n automation workflow template by Marth - Business Automation.

By Adnan Tariq

🛡 CyberScan – AI-Powered Vulnerability Scanner with Nessus, OpenAI, and Google Sheets 👤 Who’s it for Security teams, DevOps engineers, vulnerability analysts, and automation builders who want to eliminate repetitive Nessus scan parsing, AI-based risk triage, and manual reporting. Designed for orgs following NIST CSF or CISA KEV compliance guidelines. ⚙️ How it works / What it does Runs scheduled or manual scans via the Nessus API. Processes scan results and extracts asset + vulnerability data. Uses a custom AI-based risk metric (LEV) to triage findings into: 🚨 Expert review ✅ Self-healing 🕵️ Monitoring Automatically sends email alerts for critical CVEs. Exports daily summaries to Google Sheets (or your own BI system). Maps to NIST CSF (Identify, Protect, Detect, Respond, Recover). 🧰 How to set up Nessus: Add your Nessus API credentials and instance URL. Google Sheets: Authenticate your Google account. OpenAI / LLM: Use your API key if adding LLM triage or rewrite prompts. Email: Update SMTP credentials and alert recipient address. Set your targets: Adjust asset ranges or scan UUIDs as needed. ⚠️ All setup steps are explained in sticky notes inside the workflow. 📋 Requirements Nessus Essentials (Free) or Nessus Pro with API access. SMTP service (e.g. Gmail, Mailgun, SendGrid). Google Sheets OAuth2 credentials. Optional: OpenAI or other LLM provider for LEV scoring and CVE insights. 🛠 How to customize the workflow Swap Google Sheets with Airtable, Supabase, or PostgreSQL. Change scan logic or asset list to fit your internal network scope. Adjust AI scoring logic to match internal CVSS thresholds or KEV tags. Expand alerting logic to include Slack, Discord, or webhook triggers. 🔒 No sensitive data included. All credentials and sheet links are placeholders. An n8n automation workflow template by Adnan Tariq.

By David Olusola

n8n Set Node Tutorial - Complete Guide 🎯 How It Works This tutorial workflow teaches you everything about n8n's Set node through hands-on examples. The Set node is one of the most powerful tools in n8n - it allows you to create, modify, and transform data as it flows through your workflow. What makes this tutorial special: Progressive Learning**: Starts simple, builds to complex concepts Interactive Examples**: Real working nodes you can modify and test Visual Guidance**: Sticky notes explain every concept Branching Logic**: Shows how Set nodes work in different workflow paths Real Data**: Uses practical examples you'll encounter in automation The workflow demonstrates 6 core concepts: Basic data types (strings, numbers, booleans) Expression syntax with {{ }} and $json references Complex data structures (objects and arrays) "Keep Only Set" option for clean outputs Conditional data setting with branching logic Data transformation and aggregation techniques 📋 Setup Steps Step 1: Import the Workflow Copy the JSON from the code artifact above Open your n8n instance in your browser Navigate to Workflows section Click "Import from JSON" or the import button (usually a "+" or import icon) Paste the JSON into the import dialog Click "Import" to load the workflow Save the workflow (Ctrl+S or click Save button) Step 2: Choose Your Starting Point Option A: Default Tutorial Mode (Recommended for beginners) The workflow is ready to run as-is Uses simple "Welcome" message as starting data Click "Execute Workflow"** to begin Option B: Rich Test Data Mode (Recommended for experimentation) Locate the nodes: Find "Start (Manual Trigger)" and "0. Test Data Input" Disconnect default: Click the connection line between "Start (Manual Trigger)" → "1. Set Basic Values" and delete it Connect test data: Drag from "0. Test Data Input" output to "1. Set Basic Values" input Execute: Click "Execute Workflow" to run with rich test data Step 3: Execute and Learn Run the workflow: Click the "Execute Workflow" button Check outputs: Click on each node to see its output data Read the notes: Each sticky note explains what's happening Follow the flow: Data flows from left to right, top to bottom Step 4: Experiment and Modify Try These Experiments: 🔧 Change Basic Values: Click on "1. Set Basic Values" Modify user_age (try 20 vs 35) Change user_name to see how it propagates Execute and see the changes flow through 📊 Test Conditional Logic: Set user_age to 20 → triggers "Student Discount" path Set user_age to 30 → triggers "Premium Access" path Watch how the workflow branches differently 🎨 Modify Expressions: In "2. Set with Expressions", try changing: ={{ $json.score * 2 }} to ={{ $json.score * 3 }} ={{ $json.user_name }} Smith to ={{ $json.user_name }} Johnson 🏗️ Complex Data Structures: In "3. Set Complex Data", modify the JSON structure Add new properties to the user_profile object Try nested expressions 🎓 Learning Path Beginner Level (Nodes 1-2) Focus**: Understanding basic Set operations Learn**: Data types, static values, simple expressions Time**: 10-15 minutes Intermediate Level (Nodes 3-4) Focus**: Complex data and output control Learn**: Objects, arrays, "Keep Only Set" option Time**: 15-20 minutes Advanced Level (Nodes 5-6) Focus**: Conditional logic and data aggregation Learn**: Branching workflows, merging data, complex expressions Time**: 20-25 minutes 🔍 What Each Node Teaches | Node | Concept | Key Learning | |------|---------|-------------| | 1. Set Basic Values | Data Types | String, number, boolean basics | | 2. Set with Expressions | Dynamic Data | {{ }} syntax, $json references, $now functions | | 3. Set Complex Data | Advanced Structures | Objects, arrays, nested properties | | 4. Set Clean Output | Data Management | "Keep Only Set" for clean final outputs | | 5a/5b. Conditional Sets | Branching Logic | Different data based on conditions | | 6. Tutorial Summary | Data Aggregation | Combining and summarizing workflow data | 💡 Pro Tips 🚀 Quick Wins: Always check node outputs after execution Use sticky notes as your learning guide Experiment with small changes first Copy nodes to try variations 🛠️ Advanced Techniques: Use Keep Only Set for API responses Combine static and dynamic data in complex objects Leverage conditional paths for different user types Reference nested object properties with dot notation 🐛 Troubleshooting: If expressions don't work, check the {{ }} syntax Ensure field names match exactly (case-sensitive) Use the expression editor for complex logic Check data types match your expectations 🎯 Next Steps After Tutorial Create your own Set nodes in a new workflow Practice with real data from APIs or databases Build data transformation workflows for your specific use cases Combine Set nodes with other n8n nodes like HTTP, Webhook, etc. Explore advanced expressions using JavaScript functions Congratulations! You now have the foundation to use Set nodes effectively in any n8n workflow. The Set node is truly the "Swiss Army knife" of n8n automation! 🛠️. An n8n automation workflow template by David Olusola.

By Moe Ahad

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works Using chat node, ask a question pertaining to information stored in your MySQL database AI Agent converts your question to a SQL query AI Agent executes the SQL query and returns a result AI Agent can remember the previous 5 questions How to set up: Add your OpenAI API Key in "OpenAI Chat Model" node Add your MySQL credentials in the "SQL DB - List Tables and Schema" and "Execute a SQL Query in MySQL nodes" Update the database name in "SQL DB - List Tables and Schema" node. Replace "your_query_name" under the Query field with your actual database name After the above steps are completed, use the "When chat message received" node to ask a question about your data using plain English. An n8n automation workflow template by Moe Ahad.

By Gofive

Template: Create an AI Knowledge Base Chatbot with Google Drive and OpenAI GPT (Venio/Salesbear) 📋 Template Overview This comprehensive n8n workflow template creates an intelligent AI chatbot that automatically transforms your Google Drive documents into a searchable knowledge base. The chatbot uses OpenAI's GPT models to provide accurate, context-aware responses based exclusively on your uploaded documents, making it perfect for customer support, internal documentation, and knowledge management systems. 🎯 What This Template Does Automated Knowledge Processing Real-time Document Monitoring**: Automatically detects when files are added or updated in your designated Google Drive folder Intelligent Document Processing**: Converts PDFs, text files, and other documents into searchable vector embeddings Smart Text Chunking**: Breaks down large documents into optimally-sized chunks for better AI comprehension Vector Storage**: Creates a searchable knowledge base that the AI can query for relevant information AI-Powered Chat Interface Webhook Integration**: Receives questions via HTTP requests from any external platform (Venio/Salesbear) Contextual Responses**: Maintains conversation history for natural, flowing interactions Source-Grounded Answers**: Provides responses based strictly on your document content, preventing hallucinations Multi-platform Support**: Works with any chat platform that can send HTTP requests 🔧 Pre-conditions and Requirements Required API Accounts and Permissions 1. Google Drive API Access Google Cloud Platform account Google Drive API enabled OAuth2 credentials configured Read access to your target Google Drive folder 2. OpenAI API Account Active OpenAI account with API access Sufficient API credits for embeddings and chat completions API key with appropriate permissions 3. n8n Instance n8n cloud account or self-hosted instance Webhook functionality enabled Ability to install community nodes (LangChain nodes) 4. Target Chat Platform (Optional) API credentials for your chosen chat platform Webhook capability or API endpoints for message sending Required Permissions Google Drive**: Read access to folder contents and file downloads OpenAI**: API access for text-embedding-ada-002 and gpt-4o-mini models External Platform**: API access for sending/receiving messages (if integrating with existing chat systems) 🚀 Detailed Workflow Operation Phase 1: Knowledge Base Creation File Monitoring: Two trigger nodes continuously monitor your Google Drive folder for new files or updates Document Discovery: When changes are detected, the workflow searches for and identifies the modified files Content Extraction: Downloads the actual file content from Google Drive Text Processing: Uses LangChain's document loader to extract text from various file formats Intelligent Chunking: Splits documents into overlapping chunks (configurable size) for optimal AI processing Vector Generation: Creates embeddings using OpenAI's text-embedding-ada-002 model Storage: Stores vectors in an in-memory vector store for instant retrieval Phase 2: Chat Interaction Question Reception: Webhook receives user questions in JSON format Data Extraction: Parses incoming data to extract chat content and session information AI Processing: AI Agent analyzes the question and determines relevant context Knowledge Retrieval: Searches the vector store for the most relevant document sections Response Generation: OpenAI generates responses based on found content and conversation history Authentication: Validates the request using token-based authentication Response Delivery: Sends the answer back to the originating platform 📚 Usage Instructions After Setup Adding Documents to Your Knowledge Base Upload Files: Simply drag and drop documents into your configured Google Drive folder Supported Formats: PDFs, TXT, DOC, DOCX, and other text-based formats Automatic Processing: The workflow will automatically detect and process new files within minutes Updates: Modify existing files, and the knowledge base will automatically update Integrating with Your Chat Platform Webhook URL: Use the generated webhook URL to send questions POST https://your-n8n-domain/webhook/your-custom-path Content-Type: application/json { "body": { "Data": { "ChatMessage": { "Content": "What are your business hours?", "RoomId": "user-123-session", "Platform": "web", "User": { "CompanyId": "company-456" } } } } } Response Format: The chatbot returns structured responses that your platform can display Testing Your Chatbot Initial Test: Send a simple question about content you know exists in your documents Context Testing: Ask follow-up questions to test conversation memory Edge Cases: Try questions about topics not in your documents to verify appropriate responses Performance: Monitor response times and accuracy 🎨 Customization Options System Message Customization Modify the AI Agent's system message to match your brand and use case: You are a [YOUR_BRAND] customer support specialist. You provide helpful, accurate information based on our documentation. Always maintain a [TONE] tone and [SPECIFIC_GUIDELINES]. Response Behavior Customization Tone and Voice**: Adjust from professional to casual, formal to friendly Response Length**: Configure for brief answers or detailed explanations Fallback Messages**: Customize what the bot says when it can't find relevant information Language Support**: Adapt for different languages or technical terminologies Technical Configuration Options Document Processing Chunk Size**: Adjust from 1000 to 4000 characters based on your document complexity Overlap**: Modify overlap percentage for better context preservation File Types**: Add support for additional document formats AI Model Configuration Model Selection**: Switch between gpt-4o-mini (cost-effective) and gpt-4 (higher quality) Temperature**: Adjust creativity vs. factual accuracy (0.0 to 1.0) Max Tokens**: Control response length limits Memory and Context Conversation Window**: Adjust how many previous messages to remember Session Management**: Configure session timeout and user identification Context Retrieval**: Tune how many document chunks to consider per query Integration Customization Authentication Methods Token-based**: Default implementation with bearer tokens API Key**: Simple API key validation OAuth**: Full OAuth2 implementation for secure access Custom Headers**: Validate specific headers or signatures Response Formatting JSON Structure**: Customize response format for your platform Markdown Support**: Enable rich text formatting in responses Error Handling**: Define custom error messages and codes 🎯 Specific Use Case Examples Customer Support Chatbot Scenario: E-commerce company with product documentation, return policies, and FAQ documents Setup: Upload product manuals, policy documents, and common questions to Google Drive Customization: Professional tone, concise answers, escalation triggers for complex issues Integration: Website chat widget, mobile app, or customer portal Internal HR Knowledge Base Scenario: Company HR department with employee handbook, policies, and procedures Setup: Upload HR policies, benefits information, and procedural documents Customization: Friendly but professional tone, detailed policy explanations Integration: Internal Slack bot, employee portal, or HR ticketing system Technical Documentation Assistant Scenario: Software company with API documentation, user guides, and troubleshooting docs Setup: Upload API docs, user manuals, and technical specifications Customization: Technical tone, code examples, step-by-step instructions Integration: Developer portal, support ticket system, or documentation website Educational Content Helper Scenario: Educational institution with course materials, policies, and student resources Setup: Upload syllabi, course content, academic policies, and student guides Customization: Helpful and encouraging tone, detailed explanations Integration: Learning management system, student portal, or mobile app Healthcare Information Assistant Scenario: Medical practice with patient information, procedures, and policy documents Setup: Upload patient guidelines, procedure explanations, and practice policies Customization: Compassionate tone, clear medical explanations, disclaimer messaging Integration: Patient portal, appointment system, or mobile health app 🔧 Advanced Customization Examples Multi-Language Support // In Edit Fields node, detect language and route accordingly const language = $json.body.Data.ChatMessage.Language || 'en'; const systemMessage = { 'en': 'You are a helpful customer support assistant...', 'es': 'Eres un asistente de soporte al cliente útil...', 'fr': 'Vous êtes un assistant de support client utile...' }; Department-Specific Routing // Route questions to different knowledge bases based on department const department = $json.body.Data.ChatMessage.Department; const vectorStoreKey = vector_store_${department}; Advanced Analytics Integration // Track conversation metrics const analytics = { userId: $json.body.Data.ChatMessage.User.Id, timestamp: new Date().toISOString(), question: $json.body.Data.ChatMessage.Content, response: $json.response, responseTime: $json.processingTime }; 📊 Performance Optimization Tips Document Management Optimal File Size**: Keep documents under 10MB for faster processing Clear Structure**: Use headers and sections for better chunking Regular Updates**: Remove outdated documents to maintain accuracy Logical Organization**: Group related documents in subfolders Response Quality System Message Refinement**: Regularly update based on user feedback Context Tuning**: Adjust chunk size and overlap for your specific content Testing Framework**: Implement systematic testing for response accuracy User Feedback Loop**: Collect and analyze user satisfaction data Cost Management Model Selection**: Use gpt-4o-mini for cost-effective responses Caching Strategy**: Implement response caching for frequently asked questions Usage Monitoring**: Track API usage and set up alerts Batch Processing**: Process multiple documents efficiently 🛡️ Security and Compliance Data Protection Document Security**: Ensure sensitive documents are properly secured Access Control**: Implement proper authentication and authorization Data Retention**: Configure appropriate data retention policies Audit Logging**: Track all interactions for compliance Privacy Considerations User Data**: Minimize collection and storage of personal information Session Management**: Implement secure session handling Compliance**: Ensure adherence to relevant privacy regulations Encryption**: Use HTTPS for all communications 🚀 Deployment and Scaling Production Readiness Environment Variables**: Use environment variables for sensitive configurations Error Handling**: Implement comprehensive error handling and logging Monitoring**: Set up monitoring for workflow health and performance Backup Strategy**: Ensure document and configuration backups Scaling Considerations Load Testing**: Test with expected user volumes Rate Limiting**: Implement appropriate rate limiting Database Scaling**: Consider external vector database for large-scale deployments Multi-Instance**: Configure for multiple n8n instances if needed 📈 Success Metrics and KPIs Quantitative Metrics Response Accuracy**: Percentage of correct answers Response Time**: Average time from question to answer User Satisfaction**: Rating scores and feedback Usage Volume**: Questions per day/week/month Cost Efficiency**: Cost per interaction Qualitative Metrics User Feedback**: Qualitative feedback on response quality Use Case Coverage**: Percentage of user needs addressed Knowledge Gaps**: Identification of missing information Conversation Quality**: Natural flow and context understanding. An n8n automation workflow template by Gofive.

By Raymond Camden

How It Works This N8N template demonstrates using Foxit's Extraction API to get information from an incoming document and then using Diffbot's APIs to turn the text into a list of organizations mentioned in the document and create a summary. How it works Listen for a new file added to a Google Drive folder. When executed, the bits are downloaded. Upload the bits to Foxit. Call the Extract API to get the text contents of the document. Poll the API to see if it's done, and when it is, grab the text. Send the text to Diffbot API to get a list of entities mentioned in the doc as well as the summary. Use a code step to filter the entities returned from Diffbot to ones that are organizations, as well as filtering to a high confidence score. Use another code step to make an HTML string from the previous data. Email it using the GMail node. Requirements A Google account for Google Drive and GMail Foxit developer account (https://developer-api.foxit.com) Diffbot developer account (https://app.diffbot.com/get-started) Next Steps This workflow assumes PDF input, but Foxit has APIs to convert Office docs to PDF and that flow could be added before the Extract API is called. Diffbot returns an incredible set of information and more could be used in the email. Instead of emailing, you could sort documents by organizations into new folders. An n8n automation workflow template by Raymond Camden.

By Rami Cole

🚀 AI Marketing Campaign Generator Upload product image + details → Get complete professional marketing campaign with 5 custom-generated assets automatically. 🤖 AI Model GPT-4o Mini (OpenAI) - For campaign strategy | Prompt Image generation GPT Image-1 (OpenAI) - For visual asset generation 🔑 Required API Keys OpenAI API - AI analysis & image generation Google Drive API - Asset storage & organization 🎯 What It Generates 5 Marketing Assets: Instagram Post, Instagram Story, Website Banner, Ad Creative, Testimonial Graphic Brand Strategy: Colors, tone, positioning from your product image Campaign Strategy: Messaging, target audience, objectives Visual Analysis: Extracts colors, materials, styling from uploaded image ⚙️ Setup Import JSON to n8n Add OpenAI & Google Drive credentials Configure Google Drive folder for asset storage Deploy form webhook Test with product image upload 📱 How It Works Upload product image → AI analyzes visual + text → Generates complete campaign → Creates 5 custom marketing assets → Saves to Google Drive. An n8n automation workflow template by Rami Cole.

By Giannis Kotsakiachidis

🏦 GoCardless ⇄ Maybe Finance — Automatic Multi-Bank Sync & Weekly Overview 💸 Who’s it for 🤔 Freelancers, founders, households, and side-hustlers who work with several bank accounts but want one, always-up-to-date budget inside Maybe Finance—no more CSV exports or copy-paste. How it works / What it does ⚙️ Schedule Trigger (cron) fires every Monday 📅 (switch to Manual Trigger while testing) Get access token — fresh 24 h GoCardless token 🔑 Fetch transactions for each account: Revolut Pro Revolut Personal ABN AMRO (add extra HTTP Request nodes for any other GoCardless-supported banks) Extract booked — keep only settled items 🗂️ Set transactions … — map every record to Maybe Finance’s schema 📝 Merge all arrays into one payload 🔄 Create transactions to Maybe — POSTs each item via API 🚀 Resend Email — sends you a “Weekly transactions overview” 📧 All done in a single run — your Maybe dashboard is refreshed and you get an inbox alert. How to set up 🛠️ Import the template into n8n (cloud or self-hosted). Create credentials GoCardless secret_id & secret_key Maybe Finance API key (Optional) Resend API key for email notifications One-time GoCardless config (run the blocks on the left): /token/new/ → obtain token /institutions → find institution IDs /agreements/enduser/ → create agreements /requisitions/ → get the consent URL & finish bank login /requisitions/{id} → copy the GoCardless account_ids Create the same accounts in Maybe Finance and run the HTTP GET request in the purple frame and copy their account_ids. Open each Set transactions … node and paste the correct Maybe account_id. Adjust the Schedule Trigger (e.g. daily, monthly). Save & activate 🎉 Requirements 📋 n8n 1.33 + GoCardless app (secret ID & key, live or sandbox) Maybe Finance account & API key (Optional) Resend account for email How to customize ✨ Include pending transactions**: change the Item Lists filter. Add more banks**: duplicate the “Get … transactions” → “Extract booked” → “Set transactions” path and plug its output into the Merge node. Different interval**: edit the cron rule in Schedule Trigger. Disable emails**: just remove or deactivate the Resend node. Send alerts to Slack / Teams**: branch after the Merge node and add a chat node. Happy budgeting! 💰. An n8n automation workflow template by Giannis Kotsakiachidis.

By Gulfiia

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Automated Data-Driven UX Persona Creation – Try It Out!* About You can create personas based on your website, region, and industry. Unlike traditional persona creation, this process uses reliable data sources and can estimate market size for each persona. UX personas have a wide range of applications: use them to better define your target users during product development, align your team around user goals during workshops, or inspire new features and ideas by deeply understanding user needs and behaviors. How It Works The flow is triggered via a web form Perplexity analyzes the market and creates a data foundation for the personas An AI agent transforms the data into detailed persona descriptions and publishes them in a Google Doc We use DALL·E 3 to generate an image for each persona, which is saved to your Google Drive How To Use Import the package into your N8N interface Set up the credentials in each node to access the necessary tools Wait for the process to run (it takes just a few seconds) Check the final output in Google Docs and your Google Drive Requirements Perplexity for research OpenAI for LLM and Image generation Google Doc Google Drive to upload images. An n8n automation workflow template by Gulfiia.

By Marth - Business Automation

How it works This automation helps revive expired property listings by: Reading listing data from a Google Sheet that tracks all properties. Filtering listings where the last_activity date is older than 30 days. Generating a personalized email using OpenAI (GPT-4) to re-engage the owner. Sending the email to the property owner using Gmail or SMTP. (Optional): Updating the listing's status to followed_up in the Sheet once the email is sent. This workflow ensures no opportunity is missed by proactively reactivating cold leads. Set Up Steps Prepare your Google Sheet Create a Google Sheet with these columns: title, owner_name, email, property_type, location, last_activity Fill in sample data for testing. Connect Google Sheets in n8n Add a Google Sheets node. Use the "Read Rows" operation to load the listing data. Filter listings inactive for 30+ days Use a Set node to convert last_activity to a Date. Add an IF node or Code node to check if the listing is older than 30 days. Generate email content with OpenAI Add an OpenAI node. Use dynamic input (e.g. owner name, property type) to create a follow-up message. Send the email Add a Gmail node or SMTP node to send the email to the property owner. (Optional) Update status Use a Google Sheets "Update Row" node to change the listing's status to followed_up. Test the full workflow Manually trigger the workflow or schedule it to run daily/weekly. An n8n automation workflow template by Marth - Business Automation.

By plemeo

Who's it for Content creators, SEO specialists, and marketing teams who want to automatically generate SEO-optimized content based on trending topics—complete with AI-generated images, optional videos, and ready-to-publish HTML. How it works / What it does Webhook receives a request with use case and video preferences. Get Trends XLSX downloads a spreadsheet (created by the Social Media Trends workflow) from SharePoint. Select Topic from Trends randomly picks one trending topic from the spreadsheet. AI Agent (GPT-4o) generates bilingual newsletter content about the selected trend. Get Newsletter Template fetches your HTML template; Build Newsletter injects the AI content. Optional creative assets: • Pollinations AI → generates a 1080 × 1350 image. • FAL AI → creates video from the image + Lyria2 audio → merged via FFmpeg. Gmail Approval sends the draft for review; continues only on approval. Upload all files (HTML + JPG + video URL) to your chosen storage provider. How to set up Import the template into n8n (cloud or self-hosted). Create credentials: OpenAI, Microsoft 365 (SharePoint), Gmail, and FAL AI. Upload your HTML newsletter template to SharePoint (see yellow sticky note for required placeholders). Ensure you have a trends spreadsheet (from the Social Media Trends workflow) in your SharePoint folder. Update Configuration Settings with your ENV_* variables. Activate the workflow and POST to the webhook: { "text": "usecase: blog post, include_video: true" }. Requirements n8n 1.33 + OpenAI account Microsoft 365 tenant (SharePoint) Gmail account FAL AI API Key (for video generation) A trends spreadsheet (from the Social Media Trends workflow) How to customize Change storage provider: replace SharePoint upload nodes with Google Drive, Dropbox, or S3. Modify topic selection: edit Select Topic from Trends for different selection logic. Adjust content tone: tweak the prompt in Prepare Newsletter Data. Skip video generation: set include_video: false in the webhook request. An n8n automation workflow template by plemeo.

By Davide Boizza

📩🤖 This workflow automatically processes emails received in Gmail, extracts their attachments, and organizes them into specific folders in Google Drive based on the sender's email address. Note: The workflow avoids duplicates by checking folder existence before creation. Benefits: ✅ Automated Organization: No need to manually sort or download email attachments. 📁 Sender-based Categorization: Files are stored in clearly labeled folders per sender, improving traceability and reducing clutter. ⏱ Time-saving: Reduces repetitive administrative tasks by automating the workflow end-to-end. 🔁 Modular and Scalable: Can be easily extended or reused with other services (e.g., Dropbox, S3) or integrated into larger document workflows. 🔐 Secure Cloud Storage: Attachments are safely backed up in Google Drive, minimizing the risk of data loss from email. How It Works Trigger: The workflow can be triggered manually ("When clicking ‘Execute workflow’) or automatically (via Gmail Trigger polling emails every minute). Email Processing: Fetches emails (with attachments) from Gmail within a date range (default: July 6–9, 2025). For each email, checks if it contains attachments (via IF node). Folder Management: Searches Google Drive for a folder named after the sender’s email address (under parent folder "Email Attachments"). Creates the folder if it doesn’t exist. Attachment Handling: Splits out binary attachments, extracts filenames, and uploads each file to the sender’s dedicated folder in Google Drive. Sub-Workflow Execution: Uses Execute Workflow to modularize the upload process (reusable for other workflows). Set Up Steps Google Services: Connect Gmail and Google Drive nodes to your accounts via OAuth2. Ensure the parent folder "Email Attachments" (ID: 1EitwWVd5rKZTlvOreB4R-6xxxxxx) exists in Google Drive. Adjust Date Range: Modify receivedAfter/receivedBefore in the Get emails node to target specific emails. Test: Run manually to verify folder creation and attachment uploads. Activate Automation: Enable the Gmail Trigger for real-time processing (currently active: false). Need help customizing? Contact me for consulting and support or add me on Linkedin. An n8n automation workflow template by Davide Boizza.

By Paul-François GORIAUX

This workflow acts as your personal AI-powered analyst for Meta Ads. It's pretty straightforward: First, it grabs a list of Facebook Ad Library URLs you want to check out from a Google Sheet. Then, it automatically scrapes the active ads from those pages. Here's the cool part: it sends each ad's image and text to Google Gemini, which analyzes it like an expert marketer would. Finally, Gemini's full analysis—we're talking strengths, weaknesses, actionable suggestions, and a performance score—gets dropped neatly into another Google Sheet for you. Set up steps You should be ready to roll in about 5 minutes. There are no complex configurations, you just need to: Connect your accounts: The workflow has placeholders waiting for your credentials for Google (for Sheets and the Gemini API) and ScrapingFlash. Link your Google Sheets: Just point the first Google Sheets node to the sheet with your URLs, and tell the last node where you want to save the results. All the nitty-gritty details and expressions are explained in the sticky notes inside the workflow itself!. An n8n automation workflow template by Paul-François GORIAUX.

By Agent Circle

This n8n template helps you automate the process of generating, uploading, and saving SEO-optimized articles as drafts in your Wordpress site using AI agents for both content and visuals. Use cases are many: Blog Owners**: Effortlessly keep your Wordpress blog updated with automated, SEO-optimized articles and featured images. Affiliate Marketers**: Rapidly publish keyword-rich Wordpress posts to boost traffic and affiliate earnings without manual writing. Newsrooms & Content Teams**: Instantly draft and upload timely Wordpress articles to stay ahead on trending topics with minimal effort. Agencies**: Automate content creation and publishing across multiple client Wordpress sites, scaling your agency’s output. How It Works The workflow begins with a manual trigger in n8n. The target Wordpress website domain - where the article will be published - is specified using the Fields – Set Website node. The Agent – Topic Chooser & Title Generator uses Google Gemini to randomly select one of your pre-defined website-related topics and requests the model to generate article elements in your specified format. The results are then parsed and routed to the next AI agent. The Agent – Article Generator (powered by Google Gemini) creates a complete, SEO-optimized article tailored to your settings and the selected topic. The workflow then uploads the AI-generated article as a draft post to your Wordpress site. Next, the article content is sent to the OpenAI to generate a unique, relevant featured image. The generated image is uploaded and set as the featured image in the draft post. (Optional) Finally, the workflow can notify you via Telegram (or any connected messaging app) that the post is ready as a draft on your Wordpress account for further review. ⚠️ Important Note: In the default prompt setup of the first Agent – Topic Chooser & Title Generator, the website domain is set to Agent Circle, the industry is Technology and Artificial Intelligence, and the 5 available topics for article generation are: Artificial Intelligence (AI); AI Agents; Automation; Workflow; Prompts). To get the best results for your site, please make sure to adjust this part of the prompt to match your own website domain, your industry, and the topics most relevant to your audience. How To Set Up Download and import the workflow into your n8n workspace. Set up the necessary credentials for each tool: Google Gemini API (for article elements generation) → connected to nodes Google Gemini Chat Model 1 and Google Gemini Chat Model 2. OpenAI API (for creating unique featured images) → connected to the node OpenAI - Generate Image. Wordpress API access (for posting, uploading, and setting featured images) → connected to the node Wordpress - Post Draft. (Optional) Telegram or your preferred chat app (for completion notifications). Adjust the Fields – Set Website node to match your target Wordpress website domain. Manually trigger the workflow by clicking Test Workflow or Execute Workflow. Wait for the process to complete. Receive a chat notification or check the draft post directly in your Wordpress dashboard. Requirements An n8n instance (self-hosted or cloud). OpenAI** API access (for image generation). Wordpress** API access with admin permissions. Access to Google Gemini (for advanced topic selection and article generation). (Optional) API credentials for Telegram or another messaging app if you want to receive notifications when the process is complete. How To Customize Modify topics, article elements and guildelines: You can easily customize the pre-defined topics in the instruction prompt within Node **Agent – Topic Chooser & Title Generator, as well as adjust the descriptions or structure of each article element to fit your needs and style. Integrate other chat triggers**: Link up with Slack, Discord, or any messaging tool to update progress. Choose your AI model**: Swap between Google Gemini and OpenAI for content generation, or add your preferred LLM. Need Help? If you’d like this workflow customized, or if you’re looking to build a tailored AI Agent for your own business - please feel free to reach out to Agent Circle. We’re always here to support and help you to bring automation ideas to life. Join our community on different platforms for assistance, inspiration and tips from others. Website: https://www.agentcircle.ai/ Etsy: https://www.etsy.com/shop/AgentCircle Gumroad: http://agentcircle.gumroad.com/ Discord Global: https://discord.gg/d8SkCzKwnP FB Page Global: https://www.facebook.com/agentcircle/ FB Group Global: https://www.facebook.com/groups/aiagentcircle/ X: https://x.com/agent_circle YouTube: https://www.youtube.com/@agentcircle LinkedIn: https://www.linkedin.com/company/agentcircle. An n8n automation workflow template by Agent Circle.

By Le Nguyen

How it works Fetch campaign & members from Salesforce. GPT‑4 auto‑writes a channel‑appropriate, personalised outbound message. Switch node sends via Twilio (SMS/WhatsApp), SMTP (Email). Mark each member as processed to avoid double‑touches. Error trigger notifies Slack if anything fails. Set‑up steps Time: ~10‑15 min once credentials are ready. Prereqs: Active Salesforce OAuth app, Twilio account, SMTP creds, Slack app. In‑flow sticky notes walk you through credential mapping, environment variables, and optional tweaks (e.g., campaign SOQL filter). > Copy the workflow, add your keys, and run a quick manual test—after that you can place it on a cron or Salesforce trigger. An n8n automation workflow template by Le Nguyen.

By Agent Circle

This workflow demonstrates how to automate live information gathering, fact-checking, and trend analysis in response to any chat message - using a powerful AI agent, memory, and a real-time search tool. Use cases are many: This is perfect for researchers needing instant, up-to-date data; support teams providing live, accurate answers; content creators looking to verify facts or find hot topics; and analysts automating regular reports with the freshest information. How It Works The workflow is triggered whenever a chat message is received (e.g., a user question, research prompt, or data request). The message is sent to the AI Agent, which follows the following steps: First, it queries SerpAPI – Research to gather the latest real-time information and data from the web. Next, it checks the Window Buffer Memory for any related past interactions or contextual information that may be useful. Finally, it sends all collected data and context to the Google Gemini Chat Model, which analyzes the information and generates a comprehensive, intelligent response. Then, the AI Agent delivers the analyzed, up-to-date answer directly in the chat, combining live data, context, and expert analysis. How To Set Up Download and import the workflow into your n8n workspace. Set up API credentials and tool access for the AI Agent: Google Gemini (for chat-based intelligence) → connected to Node Google Gemini Chat Model. SerpAPI (for real-time web and search results) → connected to Node SerpAPI - Research. Window Buffer Memory (for richer, context-aware conversations) → connected to Node Window Buffer Memory. Open the chat in n8n and type the topic or trend you want to research. Send the message and wait for the process to complete. Receive the AI-powered research reply in the chat box. Requirements An n8n instance (self-hosted or cloud). SerpAPI** credentials for live web search and data gathering. Window Buffer Memory** configured to provide relevant conversation context in history. Google Gemini API** access to analyze collected data and generate responses. How To Customize Choose your preferred AI model: Replace **Google Gemini with OpenAI ChatGPT, or any other chat model as preferred. Add or change memory: Replace **Window Buffer Memory with more advanced memory options for deeper recall. Connect your preferred chat platform**: Easily swap out the default chat integration for Telegram, Slack, or any other compatible messaging platform to trigger and interact with the workflow. Need Help? If you’d like this workflow customized, or if you’re looking to build a tailored AI Agent for your own business - please feel free to reach out to Agent Circle. We’re always here to support and help you to bring automation ideas to life. Join our community on different platforms for assistance, inspiration and tips from others. Website: https://www.agentcircle.ai/ Etsy: https://www.etsy.com/shop/AgentCircle Gumroad: http://agentcircle.gumroad.com/ Discord Global: https://discord.gg/d8SkCzKwnP FB Page Global: https://www.facebook.com/agentcircle/ FB Group Global: https://www.facebook.com/groups/aiagentcircle/ X: https://x.com/agent_circle YouTube: https://www.youtube.com/@agentcircle LinkedIn: https://www.linkedin.com/company/agentcircle. An n8n automation workflow template by Agent Circle.

By plemeo

Who’s it for Content creators, marketers, journalists, and product teams who need a quick, automated snapshot of what the internet is talking about—served as a ready-to-use spreadsheet every morning. How it works / What it does Manual Trigger / Cron starts the flow. Set Config picks today’s date and a topic keyword (default “Artificial Intelligence”). API calls gather trend data: • Reddit API → /r/artificial “hot” posts. • Twitter (X) Trends via our own plemeo endpoint or any other social API. (Add additional sources before the Merge Data node—Instagram, YouTube, TikTok, etc.) Aggregate Content concatenates raw titles; AI Agent (GPT-4o) analyses them and returns the top 5 trends in JSON. Prepare Excel formats each trend into rows; Create Excel turns them into an .xlsx file. Upload the file to SharePoint (swap for Google Drive, Dropbox, S3—just replace the node). How to set up Import the template into n8n (cloud or self-hosted). Create credentials: Reddit OAuth2, OpenAI, and your preferred storage (SharePoint, Drive, etc.). In Set Config choose your default topic; adjust the cron schedule if required. If you’re using Google Drive/Dropbox: delete the SharePoint node and add the corresponding upload node instead. (Optional) Add more APIs—duplicate Merge Data inputs and map their results in Aggregate Content. Save & activate. A spreadsheet called social-media-trends.xls appears in your target folder each run. Requirements n8n 1.33 + Reddit app (OAuth2) OpenAI account One storage credential: SharePoint, Google Drive, Dropbox, or any other supported provider How to customize Change the number of trends: edit the limit in Aggregate Content and the prompt in AI Agent. Want CSV instead of Excel? Swap Create Excel for Spreadsheet File → to File (CSV). Push trends to Slack/Teams: branch after Prepare Excel and add a chat node. Fully serverless? Trigger via webhook instead of manual/cron. An n8n automation workflow template by plemeo.

By Amjid Ali

🎥 End-to-End YouTube Video Automation Workflow with n8n, HeyGen & AI Automate the entire YouTube content creation pipeline — from video idea to AI-generated avatar video, upload, metadata generation, and publishing — with zero manual intervention! Who is this for? This template is perfect for: Affiliate marketers** (e.g., PartnerStack, SaaS products) YouTube creators** scaling video production Agencies** managing client content Educators and coaches** delivering automated video lessons Entrepreneurs** running faceless YouTube channels 🧠 What problem does it solve? Publishing consistent, high-quality video content is essential for audience growth and monetization. But manually creating each video — researching, writing, recording, uploading, and optimizing — is slow, repetitive, and unsustainable at scale. This workflow solves that by automating: ✅ Content sourcing from Google Sheets ✅ Script generation with AI ✅ Avatar video creation via HeyGen ✅ YouTube upload and metadata ✅ Final publishing and status update All done without touching a single button. Schedule it weekly and watch videos go live while you sleep. ⚙️ What this workflow does 📥 Reads video ideas from a Google Sheet (e.g., PartnerStack affiliate product) 🌐 Fetches product details from the web using HTTP Request 🧠 Generates a promotional video transcript using an AI agent 🎙 Converts the script to an avatar video using HeyGen API ⏳ Waits for the video to render and fetches download URL ⬆️ Uploads the video to YouTube via API 🧠 Generates title, description, tags, and hashtags using AI 🔄 Updates video metadata and changes visibility to Public 📊 Logs publication details back to Google Sheets 👤 Optional human-in-the-loop step before publishing 🛠 Setup 🔌 Connect the following integrations: Google Sheets (or Airtable) HeyGen API YouTube Data API (OAuth 2.0) OpenAI / Gemini / Ollama 🧾 Add your video ideas to Google Sheets: Include product name, link, and "To Do" status 📂 Import the n8n template and configure API credentials 🧠 Customize your AI prompt for tone, format, and industry 🕒 Schedule it to run weekly (1 video per week) ✏️ How to customize this workflow Swap Google Sheets with Airtable, Notion, or API feeds Modify AI prompts for different use cases: reviews, explainers, tutorials Use D-ID, Synthesia, or your preferred avatar platform Add analytics, thumbnails, or comment automation Localize content for multi-language channels Integrate with Slack, Discord, or Telegram for notifications 📌 Sticky Notes Included 📊 Get Partner Idea: Pulls one item from the Google Sheet 🌐 Fetch Content: Extracts product details via HTTP request 🧠 AI Script: Generates video transcript using GPT or Gemini 🎥 Video Generation: Sends script to HeyGen, waits for rendering ⬆️ Upload to YouTube: Uploads video file 🧠 Metadata Generator: Creates optimized title, tags, description 🗓 Metadata Update: Updates YouTube metadata and sets video to Public 📋 Sheet Update: Marks video as published in the Google Sheet 🧑 Human Approval (Optional): Pause & resume on manual review 🌐 Useful Links 🧠 Mastering n8n on Udemy 📘 n8n Learning Guidebook 🚀 Sign Up for n8n Cloud (Use Code: AMJID10) 🔧 SyncBricks Automation Blog 📺 YouTube Channel – SyncBricks 🔗 Why this workflow? This advanced automation setup is ideal for users exploring: YouTube automation via n8n and API AI-powered content pipelines with OpenAI/Gemini Avatar video generation (HeyGen / D-ID / Synthesia) Workflow automation for affiliate marketing Full-stack video publishing using no-code tools Enterprise-grade publishing for brands and creators Built with modularity, customization, and full control in mind — whether you’re using n8n Cloud or a self-hosted instance. An n8n automation workflow template by Amjid Ali.

By Oneclick AI Squad

This guide details the setup and functionality of an automated workflow designed to monitor the health, uptime, and SLA compliance of travel supplier APIs, specifically the Amadeus Flight API and Booking.com Hotel API. The workflow runs every 10 minutes, processes health and SLA data, and sends alerts or logs based on the status. What It Monitors API Health**: UP/DOWN status with health indicators. Uptime Tracking**: Real-time availability percentage. SLA Compliance**: Automatic breach detection and alerts. Performance Rating**: Classified as EXCELLENT, GOOD, AVERAGE, or POOR. Features Runs every 10 minutes automatically. Monitors the Amadeus Flight API with a 99.5% SLA target. Monitors the Booking.com Hotel API with a 99.0% SLA target. Smart Alerts that notify via WhatsApp only on SLA breaches. Logging of results for both breaches and normal status. Workflow Steps Monitor Schedule**: Triggers the workflow every 10 minutes automatically. Amadeus Flight API**: Tests the Amadeus Flight API (GET: https://api.amadeus.com) simultaneously. Booking Hotel API**: Tests the Booking.com Hotel API (GET: https://distribution-xml.booking.com) simultaneously. Calculate Health & SLA**: Processes health, uptime, and SLA data. Alert Check**: Routes to appropriate responses based on breach status. SLA Breach Alert**: Sends an alert with throwError if an SLA breach occurs. Normal Status Log**: Records results with throwError for healthy status. Send Message**: Sends a WhatsApp message for breach alerts. How to Use Copy the JSON configuration of the workflow. Import it into your n8n workspace. Activate the workflow. Monitor results in the execution logs and WhatsApp notifications. The workflow will automatically start tracking your travel suppliers and alert you via WhatsApp only when SLA thresholds are breached. Please double-check responses to ensure accuracy. Requirements n8n account and instance setup. API credentials for Amadeus Flight API (e.g., https://api.amadeus.com). API credentials for Booking.com Hotel API (e.g., https://distribution-xml.booking.com). WhatsApp integration for sending alerts. Customizing this Workflow Adjust the Monitor Schedule interval to change the frequency (e.g., every 5 or 15 minutes). Modify SLA targets in the Calculate Health & SLA node to align with your service agreements (e.g., 99.9% for Amadeus). Update API endpoints or credentials in the Amadeus Flight API and Booking Hotel API nodes for different suppliers. Customize the Send Message node to integrate with other messaging platforms (e.g., Slack, email). Enhance the Normal Status Log to include additional metrics or export logs to a database. An n8n automation workflow template by Oneclick AI Squad.

By Oneclick AI Squad

This guide walks you through setting up an AI-driven workflow to automate flight and hotel reservation processes using a conversational travel booking system. The workflow accepts booking requests, processes them via APIs, and sends confirmations, enabling a seamless travel booking experience. What’s the Goal? Automatically accept and process booking requests for flights and hotels via HTTP POST. Use AI to understand natural language requests and route them to appropriate data processors. Search for flights and hotels using external APIs and process booking confirmations. Send confirmation emails and return structured booking data to users. Enable an automated system for efficient travel reservations. By the end, you’ll have a self-running system that handles travel bookings effortlessly. Why Does It Matter? Manual booking processes are time-consuming and prone to errors. This workflow offers: Zero Human Error**: AI ensures accurate request parsing and booking processing. Time-Saving Automation**: Automates the entire booking lifecycle, boosting efficiency. Seamless Confirmation**: Sends automated emails and responses without manual intervention. Enhanced User Experience**: Provides a conversational interface for bookings. Think of it as your reliable travel booking assistant that keeps the process smooth and efficient. How It Works Here’s the step-by-step flow of the automation: Step 1: Trigger the Workflow Webhook Trigger**: Accepts incoming booking requests via HTTP POST, initiating the workflow. Step 2: Parse the Request AI Request Parser**: Uses AI to understand natural language booking requests (e.g., flight or hotel) and extracts relevant details. Step 3: Route Booking Type Booking Type Router**: Determines whether the request is for a flight or hotel and routes it to the respective data processor. Step 4: Process Flight Data Flight Data Processor**: Handles flight-specific data and prepares it for the search API. Step 5: Search Flight API Flight Search API**: Searches for available flights based on parameters (e.g., https://api.aviationstack.com) and returns results. Step 6: Process Hotel Data Hotel Data Processor**: Handles hotel-specific data and prepares it for the search API. Step 7: Search Hotel API Hotel Search API**: Searches for available hotels based on parameters (e.g., https://api.booking.com) and returns results. Step 8: Process Flight Booking Flight Booking Processor**: Processes flight bookings and generates confirmation details. Step 9: Process Hotel Booking Hotel Booking Processor**: Processes hotel bookings and generates confirmation details. Step 10: Generate Confirmation Message Confirmation Message Generator**: Creates structured confirmation messages for the user. Step 11: Send Confirmation Email Send Confirmation Email**: Sends booking confirmation via email to the user. Step 12: Send Response Send Response**: Returns structured booking data to the user, completing the workflow. How to Use the Workflow? Importing the workflow in n8n is a straightforward process. Follow these steps to import the Conversational Travel Booker workflow: Download the Workflow: Obtain the workflow file (e.g., JSON export from n8n). Open n8n: Log in to your n8n instance. Import Workflow: Navigate to the workflows section, click "Import," and upload the workflow file. Configure Nodes: Adjust settings (e.g., API keys, webhook URLs) as needed. Execute Workflow: Test and activate the workflow to start processing bookings. Requirements n8n account and instance setup. Access to flight and hotel search APIs (e.g., Aviationstack, Booking.com). Email service integration for sending confirmations. Webhook URL for receiving booking requests. Customizing this Workflow Modify the AI Request Parser to handle additional languages or booking types. Update API endpoints in Flight Search API and Hotel Search API nodes to match your preferred providers. Adjust the Send Confirmation Email node to include custom email templates or additional recipients. Schedule the Webhook Trigger to align with your business hours or demand peaks. An n8n automation workflow template by Oneclick AI Squad.

By Ahmed Saadawi

📝 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. An n8n automation workflow template by Ahmed Saadawi.

By Oneclick AI Squad

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This automated n8n workflow streamlines the process of screening CVs and validating candidate information using AI and email parsing. The system listens for new emails with CV attachments, extracts and processes the data, and either saves valid CVs to a target directory or notifies HR of invalid submissions. Good to Know The workflow improves efficiency by automating CV screening and validation. Ensures only CVs with essential fields (e.g., name, email, skills) are processed further. Email notifications alert HR to incomplete or invalid CVs for timely follow-up. The system pauses until all CV data is fully loaded to avoid processing errors. How It Works Trigger on New CV Email - Detects new emails with CV attachments. Extract Text from PDF CV - Parses content from attached PDF files. Ensure All CV Data Loaded - Waits until all data is ready for processing. Parse & Structure CV Information - Extracts structured details like name, skills, and experience using AI or custom logic. Check CV for Required Fields - Verifies the presence of essential fields (e.g., name, email, skills). Save Valid CV to Folder - Stores successfully validated CVs into a target directory. Notify HR of Invalid CV - Sends an email alert for incomplete or invalid CVs. Data Sources The workflow processes data from email attachments: CV PDF Files** - Contains candidate information in PDF format. How to Use Import the workflow into n8n. Configure email account credentials for monitoring new CV emails. Set up a target directory for storing validated CVs. Test with sample CV PDFs to verify extraction and validation. Adjust AI or custom logic based on specific required fields. Monitor email notifications for invalid CVs and refine the process as needed. Requirements Email account access with IMAP/POP3 support. PDF parsing capabilities (e.g., OCR or text extraction tools). AI or custom logic for data extraction and validation. A target directory for storing validated CVs. Customizing This Workflow Modify the "Check CV for Required Fields" node to include additional required fields (e.g., education, certifications). Adjust the email notification format to include more details about invalid CVs. Integrate with HR software for seamless candidate tracking. Details The workflow ensures efficient CV screening by automating repetitive tasks. Notifications help maintain a high-quality candidate pool by addressing issues early. An n8n automation workflow template by Oneclick AI Squad.

By Henry

Who is this for? This workflow is ideal for social media managers, content creators, marketing teams, and automation enthusiasts looking to streamline their Instagram Reels posting from Google Drive using n8n, Google Sheets, and Cloudinary. What problem is this workflow solving? / Use case Manually downloading video files, uploading to third-party platforms, and posting to Instagram Reels is time-consuming. This workflow automates the whole process, ensuring timely, consistent content delivery and reducing manual errors. What this workflow does Automatically fetches scheduled Reel content from Google Sheets (Sample link) Downloads video files from Google Drive folders Uploads videos to Cloudinary for hosting Posts the videos as Instagram Reels with custom captions Updates the Google Sheet to mark content as posted Setup Prepare a Google Drive folder set to public sharing for your videos Create a Cloudinary account and configure upload presets Connect an Instagram Business account (linked to a Facebook Page) Set up a Google Sheet with video post details: Video Name, Type, Caption, Status Configure the workflow schedule in n8n How to customize this workflow to your needs Adjust the schedule for desired posting frequency Add fields to your sheet for custom tags or content variations Change the Cloudinary or Instagram settings for different media types Integrate additional steps for error handling or approval workflows. An n8n automation workflow template by Henry.

By Zacharia Kimotho

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow is a gem for all PPC managers and experts out there looking to keep track of competitor ads and the campaigns they are running and generate an email report How does it work We use Bright Data API to scrap Google for a given keyword that can trigger an ad. We then extract and analyse different components of the ads to get insights and data rekevant for our processes Setting it up Make a copy of this workflow to your canvas Make a copy of this google sheet Add high intent commercial keywords to your google sheet. These are relevant to trigger ads Set your Bright Data API credentials and update the zone to your respective zone as set on your Bright Data account We filter only if ads are found and if true extract the top and botton ads This routes the results via different paths Store raw Ad results Process the Ads to get new insights and data Map the raw data to match your account You can adjust the prompt to provide any data as needed Connect your emailing platform or tool and update the to email Setting up Bright Data serp API and Zone On Bright Data, go to the Proxies & Scraping tab Under SERP API, create a new zone Give it a suitable name and description. The default is serp_api Add this to your account If you have any questions, feel free to reach out via linkedin. An n8n automation workflow template by Zacharia Kimotho.

By Josh Universe

How the sequence works: A "Schedule Trigger" node activates the automation at a defined schedule. An "Airtable" node will search for previously posted questions in your question database. Airtable Base Template: here An "Aggregate" node will take all the questions from Airtable and compress them to a single output. ChatGPT, or a model of your choice, will generate a discussion question based on the options in the system prompt. The discussion question will be posted to the subreddit of your choice by the "Reddit" node. You can choose between a text, image, or link post! The recently-posted discussion question will then be uploaded to your Airtable base using the "Airtable" node. This will be used to prevent ChatGPT from creating duplicate questions. Setup Steps The setup process will take about 5 minutes. An Airtable base template is also pre-made for you here: https://airtable.com/app6wzQqegKIJOiOg/shrzy7L9yv8BFRQdY Set the recurrence in the "Schedule" node Create an Airtable account, you can use the link here. Get an Airtable personal access token here. Configure the "Get Previous Discussions" Airtable node. Configure the options in brackets in the "Generate New Discussion" node. Set the desired subreddit to post to and the post type(text, image, or link) in the "Post Discussion" node. Configure the "Create Archived Discussion" node to map to the Airtable base(required) and specific subreddit(optional). An n8n automation workflow template by Josh Universe.

By Nazmy

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. OAuth Token Generator and Validator This n8n template helps you generate, validate, and store tokens for your customers securely using: n8n** as your backend automation engine Airtable** as your lightweight client and token store 🚀 What It Does Accepts client_id and client_secret via POST webhook. Validates client credentials against Airtable. Generates a long token on success. Stores the generated token in Airtable with metadata. Responds with a JSON containing the token, expiry, and type. Returns clear error messages if validation fails. How It Works Webhook node receives client_id and client_secret. Validator (Code node) checks: Body contains only client_id and client_secret. Rejects missing or extra fields. Airtable search: Looks up the client_id. Rejects if not found. Secret validation (If node): Compares provided client_secret with stored value. Rejects if incorrect. Token generation (Code node): Generates a 128-character secure token. Airtable create: Stores token, client ID, creation date, and type. Webhook response: Returns JSON { access_token, expires_in, token_type } on success. Returns appropriate JSON error messages on failure. Related Workflow You can also use it with the published Bearer Token Validation workflow: 👉 Validate API Requests with Bearer Token Authentication and Airtable to securely validate tokens you generate with this workflow across your protected endpoints. Why Use This Provides OAuth-like flows without a complex backend. Uses n8n + Airtable for client management and token storage. Clean, modular, and ready for your SaaS or internal API automations. Extendable for token expiry, refresh, and rotation handling. Enjoy building secure token-based APIs using n8n + Airtable! 🚀 Built by: Nazmy. An n8n automation workflow template by Nazmy.

By Andrew

Who is this for? This workflow is for businesses and individuals who want to automate calendar management via WhatsApp using n8n. It’s ideal for appointment-based services, consultants, and anyone who needs to streamline event scheduling, updates, or cancellations through a simple chat interface. What problem is this workflow solving? Manually managing calendar events is time-consuming and error-prone, especially when clients communicate through messaging apps like WhatsApp. This workflow solves the problem by connecting WhatsApp to Google Calendar, enabling users to manage events directly via chat, reducing administrative overhead and response times. What this workflow does This workflow enables WhatsApp-based interaction with Google Calendar. Users can: Create new events Update existing events Delete events Retrieve a list of scheduled events Optionally, AI (like ChatGPT or Gemini) can be used to interpret natural language inputs, making the interaction even smoother. Setup Add credentials: WhatsApp: Connect your WhatsApp API (OAuth or other supported method). Google Calendar: Add your Google account credentials to allow calendar access. AI (optional): Add credentials for ChatGPT, Gemini, or another language model if using AI for natural language parsing. Import the workflow into n8n and review all nodes. Test the WhatsApp webhook to ensure it’s receiving messages correctly. Connect to your Google Calendar and test event creation and retrieval. An n8n automation workflow template by Andrew.

By Moe Ahad

How it works: This flow checks the user's Google calender of events from Sunday to Saturday of current week, to determine how many hours have been booked each day. If a day has over 6 hours booked, it blocks out the remaining work hours for dedicated focus time. The flow assumes 8 work hours per day. For example, if the Monday of this week has 6.5 hours booked (for meetings, tasks etc.), it automatically blocks off the remaining 1.5 hours for dedicated focus time, so external users can see and not book new events for those hours. Benefit: Prevents users from being overloaded with meetings and gives time for dedicated deep work/focus time. Set up steps: Update start time of the "Schedule Trigger," this is the time the flow will run daily. Note: the workflow assumes a 9AM-5PM work schedule so it's recommended to schedule the flow to trigger before 9AM. Update the credentials for the "Get Full Weeks Events" and "Create Focus Time Event" nodes. Use your Google credentials so the workflow can connect to your Google calendar. An n8n automation workflow template by Moe Ahad.

By InfraNodus

Optimize Your Top Performing Website Content with Google Analytics, Firecrawl, and InfraNodus This templates helps you extract** the top performing pages from your website using Google Analytics scrape** the content of the pages using Firecrawl API (HTTP node provided) build a knowledge graph* for all these pages with the *topics* and *gaps** identified using InfraNodus understand the main concepts and topical clusters in your top-performing content, so you can create more of it, while also identifying the content gaps — structural holes between the topics that you can use to generate new content ideas have access to a knowledge graph visualization of your top performing content to explore it using the interactive network interface How it works This template uses the InfraNodus to visualize and analyze your top performing content. It will extract the top pages from the Google Analytics data for the website you choose and scrape their text content using the high-quality Firecrawl API. Then it will ingest every page into an InfraNodus graph you specify. The graph can be used to explore the content visually. The insights from the graph, such as the main topics and gaps between them will be shown to you in the end of the workflow. You can use these insights to understand what kind of content you should focus on creating to get the highest number of views* and to establish *topical authority* in your area, which is good for *SEO* and *LLM optimization** — focusing on the topics identified in the top content discover the content gaps — which topics are not connected yet that you could link with new content ideas and publish — this caters to your audience's interests, but connects your existing ideas in a new way. So you deliver the content that's relevant but also novel. Here's a description step by step: Note:* you can replace the PDF to Text convertor node with a better quality *PDF convertor* from ConvertAPI which respects the original file layout and doesn't split text into small chunks Trigger the workflow Extract a list of top (25, 50) pages from your Google Analytics account (you'll need to connect it via the Google Cloud API) Fix the extracted data and add a correct URL prefix to each page (if your Analytics has relative paths only Loop through each page extracted Extract the text content of every page using the high-quality Firecrawl API Ingest the text content into the InfraNodus graph that you specify Once all the pages are ingested into the InfraNodus graph, access the AI insights endpoint in InfraNodus and get the information about the main topics and gaps Display this information to the user How to use You need an InfraNodus API account and key to use this workflow. Create an InfraNodus account Get the API key at https://infranodus.com/api-access and create a Bearer authorization key for the InfraNodus HTTP nodes. Requirements An InfraNodus account and API key Optional: A Google Analytics account for your property (alternatively, you can modify this workflow to provide a list of the most popular pages) Optional: A Google Cloud API access (to access the data from Google Analytic saccount — follow the n8n instructions) Optional: A Firecrawl API key API key for better quality web page scraping (otherwise, use the standard HTTP to Text node from n8n) Customizing this workflow You can customize this workflow by using a list of the URL pages you want to analyze from a Google sheet. Alternatively, you can use the Google SERP node to extract top search results for a query and get the main topics for them. For support and feedback, please, contact us at https://support.noduslabs.com To learn more about InfraNodus: https://infranodus.com. An n8n automation workflow template by InfraNodus.

By Dariusz Koryto

FTP to Google Drive Transfer Template What This Template Does This workflow automatically transfers files from an FTP server to Google Drive. It's perfect for: Backing up files from remote servers Migrating data from FTP to cloud storage Automating file synchronization tasks Creating scheduled backups of server content How It Works The workflow follows these steps: Manual Trigger - You start the process by clicking "Execute" Lists FTP Directory - Scans the specified FTP folder for all items Filters Files Only - Separates actual files from directories (folders) Downloads Files - Retrieves each file as binary data from the FTP server Uploads to Google Drive - Stores all downloaded files in your specified Google Drive folder Requirements Before using this template, you'll need: FTP Server Access**: Server address, username, and password Google Drive Account**: With OAuth2 authentication set up in n8n n8n Instance**: Self-hosted or cloud version Setup Instructions Step 1: Configure FTP Credentials In n8n, go to Settings → Credentials Create a new FTP credential Enter your FTP server details: Host: Your FTP server address Port: Usually 21 for FTP Username: Your FTP username Password: Your FTP password Test the connection and save Step 2: Set Up Google Drive Authentication Create a new Google Drive OAuth2 credential Follow n8n's Google Drive setup guide: Create a Google Cloud project Enable Google Drive API Create OAuth2 credentials Add your n8n callback URL Authorize the connection in n8n Step 3: Configure the Workflow Update FTP Path: Open the "List FTP Directory" node Change the path parameter from /_instalki to your desired FTP folder Set Google Drive Folder: Open the "Upload to Google Drive" node Replace the folderId with your target Google Drive folder ID To find folder ID: Open the folder in Google Drive and copy the ID from the URL Assign Credentials: Ensure both FTP nodes use your FTP credential Assign your Google Drive credential to the upload node How to Use Test First: Run the workflow manually with a few test files Monitor Execution: Check the execution log for any errors Verify Upload: Confirm files appear in your Google Drive folder Schedule (Optional): Add a schedule trigger if you want automatic runs Customization Options Filter Specific File Types Add a condition after "Filter Files Only" to process only certain file extensions: {{ $json.name.endsWith('.pdf') || $json.name.endsWith('.jpg') }} Add Error Handling Insert error-handling nodes to manage failed downloads or uploads gracefully. Organize by Date Modify the Google Drive upload to create date-based folders automatically. File Size Limits Add checks for file size before attempting upload (Google Drive has limits). Troubleshooting Common Issues: FTP Connection Failed**: Check server address, port, and credentials Google Drive Upload Error**: Verify OAuth2 setup and folder permissions Files Not Found**: Ensure the FTP path exists and contains files Large Files**: Consider Google Drive's file size limitations (15GB for free accounts) Tips: Test with small files first Check n8n execution logs for detailed error messages Ensure your Google Drive has sufficient storage space Verify FTP server allows multiple concurrent connections Security Notes Never hardcode credentials in the workflow Use n8n's credential system for all authentication Consider using SFTP instead of FTP for better security Regularly rotate your FTP passwords Review Google Drive sharing permissions Next Steps Once you have this basic transfer working, you might want to: Add email notifications for successful/failed transfers Implement file deduplication checks Create logs of transferred files Set up automatic cleanup of old files Add file compression before upload. An n8n automation workflow template by Dariusz Koryto.

By Pavel Zamorev

This n8n template automates the transformation of raw meeting notes into structured tasks and documents using GPT (or another model) , syncing them to Notion and TickTick via a Telegram bot. Use Cases Automate note-taking and formatting for daily standups, brainstorming sessions, or client calls. Reduce cognitive load by eliminating manual tracking of ideas and tedious formatting. Convert discussions into actionable tasks instantly with TickTick and structured notes in Notion. How It Works Capture Notes: Send raw meeting notes to a Telegram bot. AI Processing: The workflow sends the text to AI, which: Removes duplicates and extracts key points. Formats content into structured Markdown notes for Notion. Identifies tasks with deadlines (e.g., "- Prepare presentation (Responsible: John, Deadline: Friday)"). Task Parsing: Extracts task titles, removing metadata like "Responsible" and "Deadline." Review & Edit: The bot returns formatted notes and tasks for review in Telegram. Sync & Publish: Notes are published to a Notion database. Tasks are exported to TickTick via API. Confirmation: A Telegram reaction (e.g., 👌 emoji) confirms successful processing. Setup Instructions Set Up Telegram Bot: Create a Telegram bot via BotFather and obtain an API token. Add the token to the "Telegram Trigger" and "Send-Edited-Notes" nodes under credentials (telegramApi). Configure OpenAI: Obtain an OpenAI API key and add it to the "Edit-Notes" node (openAiApi credentials). Ensure the model is set to gpt-4.1-mini in the node parameters. Set Up Notion: Create a Notion database for notes (e.g., "Meetings"). Add the database ID to the "Create a Database Page" node (databaseId). Configure Notion API credentials (notionApi) in the node. Set Up TickTick: Obtain a TickTick API key and add it to the "Create a Task" node (tickTickOAuth2Api credentials). Specify your TickTick project ID in the node (projectId). Deploy Workflow: Ensure your n8n instance is self-hosted to support community nodes (TickTick, Notion). Activate the workflow in n8n. Test: Send a test message to the Telegram bot (e.g., "Discussed project timeline. Tasks: - Prepare slides (Responsible: Alice, Deadline: Friday)"). Verify that notes appear in Notion, tasks in TickTick, and a 👌 reaction in Telegram. Configuration Examples Telegram Trigger: { "parameters": { "updates": ["message"], "additionalFields": {} }, "credentials": { "telegramApi": { "id": "your-telegram-api-id", "name": "meeting notes" } } } OpenAI Prompt (in "Edit-Notes" node): Analyze the quick meeting notes from {{ $json.message.text }} Generate meeting notes and a task list in the following format:\nMeeting Notes:\n- [Note 1]\n- [Note 2]\n\nTasks:\n- [Task 1] \n- [Task 2] Notion Database Page { "parameters": { "resource": "databasePage", "databaseId": "your-notion-database-id", "title": "MN {{ $now }}", "blockUi": { "blockValues": [ { "textContent": "{{ $json.message.text }}" } ] } } } Requirements Requires an OpenAI API key (or another model). APIs: Pre-configured Notion and TickTick API credentials are required. The template includes setup guides. Setup: Uses community nodes, requiring a self-hosted n8n instance. Customizing This Workflow Replace the Telegram bot with a webhook or form for alternative inputs (e.g., mobile apps). Modify the OpenAI prompt in the "Edit-Notes" node to customize note and task formats. Add filters in the "Split Notes and Tasks" node to prioritize tasks (e.g., ++#urgent++). Integrate Google Calendar via an additional HTTP Request node to auto-set deadlines based on text (e.g., "by Friday"). An n8n automation workflow template by Pavel Zamorev.

By Budi SJ

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🎯 Purpose This workflow helps you automatically monitor stock related news, extract the main content, summarize it using a LLM (via OpenRouter), and send real time alerts to Telegram and store them in Google Sheets. ⚙️ How It Works Trigger A Cron node triggers the workflow every 15 minutes (adjustable). RSS Feed node checks latest articles from Google Alerts RSS. The workflow filters duplicates using Google Sheets as a log. The article URL is sent to Jina AI Readability API to extract the main body text. The content is summarized using a model from OpenRouter (e.g., Gemini, Claude, GPT-4). You can customize the prompt to suit your tone and analysis needs. The result is appended to a Google Sheets file. Sends the title, summary, and reccomendation to Telegram chat. 🧾 Google Sheets Template Create a Google Sheet using this template: Stock Alert 🧰 Requirements Telegram Bot + your Chat ID OpenRouter account and API key Jina AI account for content extraction Google Account with access to Google Sheets Google Alerts RSS feed 🛠 Setup Instructions Install required credentials: Add OpenRouter API key to n8n credentials. Add Telegram Bot Token and Chat ID. Add Google Sheets credentials. Add Jina AI credentials. Create or copy the Google Sheet using the link above. Go to Google Alerts, create alerts, and copy the RSS feed URL. Replace placeholder API keys and URLs. Adjust Telegram Chat ID. 🔐 Security Note All sensitive credentials (e.g., API keys, personal chat IDs) have been removed from this template. Please replace them using the n8n credentials manager before activating the workflow. An n8n automation workflow template by Budi SJ.

By Guillaume Duvernay

Quick overview Automatically searches the web for recent news on any topic using Linkup's AI search, extracts title, summary, date, and URL for each article, saves them as records in Airtable, and sends a Slack notification once the digest is ready for review. How it works The Schedule Trigger node runs the workflow automatically on a recurring schedule, weekly by default. The Set news parameters node defines the topic(s) to monitor (News topic(s)) and the freshness window in days (News from last x days). The Query Linkup for news node sends a POST request to the Linkup API (https://api.linkup.so/v1/search) with the topic, a fromDate calculated from the freshness window, and a structured output schema requesting title, URL, content summary, and publication date for each article. The Split out news node splits the returned news array into individual items, one per article. The Loop Over Items node processes each article one at a time to stay within API rate limits. For each article, the Store one news node creates a new record in an Airtable table with the fields Title, Date, Summary, URL, and a Status of "new". The Wait node pauses 2 seconds between each Airtable write to avoid hitting rate limits. Once all articles are processed, the Aggregate in 1 item node combines all items into a single item, and the Notify in Slack node posts a message to a Slack channel stating how many news articles were found. Setup Configure the Schedule Trigger node to set the frequency and time you want the workflow to run (default: every 7 days at 17:30). In the Set news parameters node, replace the example value of News topic(s) with your own keywords (e.g. "decarbonisation, net-zero and corporate sustainability"), and set News from last x days to match your schedule frequency. In the Query Linkup for news node, add your Linkup API key as an HTTP Bearer Auth credential. Get a free API key at https://www.linkup.so/ (the free plan includes €5 of monthly credits, enough for about 1,000 runs of this workflow). In the Store one news node, connect your Airtable account, then select the Base and Table where news should be saved. The table must contain the fields: Title (string), Date (date/time), Summary (string), URL (string), and Status (single select with options "new" and "reviewed"). In the Notify in Slack node, connect your Slack account and select the channel where you want to receive the completion notification. Activate the workflow to start the automated news monitoring. Requirements A Linkup account and API key (free tier available at https://www.linkup.so/) An Airtable account with a base/table containing the fields Title, Date, Summary, URL, and Status A Slack account with access to the channel used for notifications Customization Swap the Airtable node for a Notion, Google Sheets, or other database node to store news elsewhere Replace the Slack node with a Discord, Telegram, or Email node for alerts on a different platform Insert an AI node after the Linkup search to perform sentiment analysis, categorize articles, or generate a high-level overview before saving them Additional info Linkup's free plan includes €5 of monthly credits, enough for roughly 1,000 runs of this workflow. Get an API key at https://www.linkup.so/. An n8n automation workflow template by Guillaume Duvernay.

By Roni Bandini

This workflow receives plain English instructions from a retro console via a webhook. Using an AI agent, it can combine multiple tools to read general RSS news headlines, stock market updates, emails, calendar events, search X, send Telegram messages, and run Linux commands. The idea is to avoid using smartphones or regular laptops in the morning, and instead use a retro console installed on an old notebook or netbook. You will need to copy a Python script onto the notebook, configure the webhook URL, and set up all the required credentials. Steps: Setup Gemini API key, Google Gmail and Calendar credentials from console.google.com Setup X credentials, RSS URL, etc Obtain the webhook URL and paste into the Python code to be executed at the Linux machine Run the python script with python3 console.py Note: if you ask for a Linux command, the command will not only be returned but also executed. An n8n automation workflow template by Roni Bandini.

By Agentick AI

This n8n template demonstrates how to automate invoice data extraction from PDF attachments received via Gmail. Using LlamaParse and Gemini LLM, this workflow parses structured fields like PO numbers, line items, tax amounts, and totals — and stores them neatly into a Google Sheet. Perfect for use cases such as: 💼 Finance teams managing vendor invoices 📊 Bookkeeping workflows 🔄 Automating monthly reconciliation Good to Know At the time of writing, LlamaParse and Gemini may involve API usage costs depending on your subscription tier. Check LlamaIndex Pricing and Gemini Pricing for updated info. LlamaParse provides Markdown-formatted parsed output which is then passed to an LLM for structured field extraction. Gemini models may be geo-restricted. If you encounter "model not found" errors, your region might not be supported. How it Works Trigger: Watches your Gmail for new emails with PDF attachments. Email Filter: Ensures we only parse fresh emails not already labeled as "invoice synced". LlamaParse Upload: Uploads the PDF to LlamaParse’s parsing endpoint. Status Polling: Periodically checks whether the parsing is complete. Download Markdown: Once ready, it fetches the parsed invoice in Markdown format. AI Parsing with Gemini: Sends the Markdown to Gemini LLM to extract structured JSON (like PO number, line items, taxes, etc.) using a predefined schema. Google Sheets Upload: Stores extracted data into a predefined spreadsheet. Labeling: Marks the email as “invoice synced” to avoid reprocessing. How to Use The trigger is based on Gmail, but you can replace this with a webhook or manual trigger for testing. Setup Instructions Gmail API Enable Gmail API in Google Cloud Console. Connect your Gmail account in n8n credentials. Allow read + modify access. Google Sheets Create a new Google Sheet with the following headers (row 1): Date | Vendor Name | Invoice Number | PO Number | Line Items | Subtotal | Tax | Total Amount Connect Google Sheets in n8n and paste the Sheet ID in the node. You can customise the google sheet basis your requirement. LlamaParse Get a LlamaIndex API Key from LlamaIndex. Use the LlamaParse upload and polling nodes to process your PDFs. Gemini (via Vertex AI) Set up Gemini access in GCP. Use the Gemini 2.5 Model. Construct a structured prompt to extract required fields. Labeling Create a Gmail label named "Invoice Synced" for tracking processed emails. Requirements Gmail account with API access LlamaParse (LlamaIndex) account with API Key Google Sheets API credentials Access to Gemini 2.5 model via Google Vertex AI Customising This Workflow This template is just the beginning. You can expand it to: Auto-generate invoices back to vendors Run duplicate checks before inserting into Sheets Integrate with accounting tools like Zoho, QuickBooks, or Tally Trigger Slack/Email notifications on specific vendors or high invoice amounts. An n8n automation workflow template by Agentick AI.

By Oneclick AI Squad

This automated n8n workflow continuously tracks real-time flight fare changes by querying airline APIs (e.g., Amadeus, Skyscanner). It compares new prices with historical fares and sends instant notifications to users when a fare drop is detected. All tracked data is structured and logged for audit and analysis. Key Insights Works post-booking to track price fluctuations for booked routes. Supports multiple fare sources for improved accuracy and comparison. Users are notified instantly via email, SMS, or Slack for high-value drops. Historical pricing data is stored for trend analysis and refund eligibility checks. Can be extended to monitor specific routes or apply airline-specific refund rules. Workflow Process Schedule Trigger Initiates the fare check every 6 hours. Fetch Flight Fare Data Queries APIs (Amadeus, Skyscanner) for current flight fares. Get Tracked Bookings Retrieves tracked routes from the internal database. Compare Fares Detects price drops compared to original booking fares. Update Fare History Table Logs the new fare and timestamp into the fare_tracking table. Classify Drops Determines priority based on absolute and percentage savings. Notify Users Email Alerts: For all medium/high priority drops. SMS Alerts: For savings > \$100 or >15%. Slack Notifications: For internal alerts and rebooking suggestions. Log Activity Stores all sync actions and notifications in fare_alert_logs. Usage Guide Import** the workflow into your n8n instance. Set up** API credentials for Amadeus and Skyscanner. Configure email, SMS (Twilio), and Slack credentials. Update the booking database with valid records (with route, fare, timestamp). Set schedule frequency (e.g., every 6 hours). Review logs regularly to monitor fare alert activity and system health. Prerequisites Valid accounts and credentials for: Amadeus API Skyscanner API SendGrid (or SMTP) for email Twilio for SMS Slack workspace & bot token PostgreSQL or MySQL database for fare tracking Tracked booking dataset (with routes, fares, and user contacts) Customization Options Adjust alert thresholds in the comparison logic (e.g., trigger only if fare drops > \$50 or >10%). Add new notification channels (e.g., WhatsApp, Telegram). Extend logic to track multi-leg or roundtrip fares. Integrate airline refund APIs (where supported) to auto-initiate refund or credit requests. Excel Output Columns When exporting or logging fare tracking data to Excel or CSV, use the following structure: | flight\_number | airline | departure | arrival | departure\_time | arrival\_time | current\_fare | route | timestamp | | -------------- | --------------- | ---------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------- | ------- | ------------------------ | | AT5049 | Royal Air Maroc | John F Kennedy International | Los Angeles International | 2025-07-21T06:00:00+00:00 | 2025-07-21T08:59:00+00:00 | 235 | JFK-LAX | 2025-07-21T13:04:14.000Z | | BA1905 | British Airways | John F Kennedy International | Los Angeles International | 2025-07-21T06:00:00+00:00 | 2025-07-21T08:59:00+00:00 | 479 | JFK-LAX | 2025-07-21T13:04:14.000Z |. An n8n automation workflow template by Oneclick AI Squad.

By Oneclick AI Squad

This automated n8n workflow tracks booked flight fares post-purchase using Amadeus and Skyscanner APIs to detect drops for refund or credit opportunities. It streamlines fare monitoring, updates booking statuses, and notifies users via SMS or email. Fundamental Aspects Fare Check Trigger** - Initiates the workflow Get Tracked Bookings** - Retrieves existing booking data Prepare Fare Query** - Prepares query parameters Search Current Fares** - Queries Skyscanner for current fares Analyze Fare Drops** - Identifies significant fare reductions Update Fare Tracking** - Updates fare tracking records Update Booking Status** - Updates status based on fare changes Check if Notification Needed** - Determines if alerts are required Send Fare Drop Email** - Notifies users via email Notify Slack Team** - Alerts the team via Slack Check Refund Eligible** - Assesses refund eligibility Initiate Refund Process** - Starts refund procedure if eligible Check if SMS Needed** - Decides if SMS alert is necessary Send SMS Alert** - Sends SMS notification Setup Instructions Import the workflow into n8n Configure API credentials for Amadeus and Skyscanner Run the workflow Verify notifications and refund processes Features Fare Monitoring** - Tracks and compares fares using Amadeus and Skyscanner Alert System** - Sends email and SMS notifications for fare drops Refund Management** - Checks and initiates refund processes Trend Analysis** - Analyzes fare trends for strategic decisions DB Queries Get Tracked Bookings Columns:** - booking_id, passenger_name, email, phone, flight_number, departure_date, origin, destination, airline, booking_class, original_fare, booking_date, confirmation_code, tracking_enabled, last_checked, current_lowest_fare, trend. Update Fare Tracking Columns:** - booking_id, check_date, lowest_fare, fare_source, savings_amount, savings_percentage, fare_trend, priority_level, action_recommended, refund_eligible, available_fares_json, updated_at. Update Booking Status: Columns** - last_checked, current_lowest_fare, booking_id. DB Setup: Create tables 'bookings' and 'fare_tracking' with above columns, set 'booking_id' as primary key, and ensure proper indexing for performance. Run queries after configuring DB connection in n8n with appropriate credentials. Parameters to Configure amadeus_api_key**: Amadeus API key skyscanner_api_key**: Skyscanner API key email_recipients**: List of email addresses for alerts sms_recipients**: List of phone numbers for SMS alerts slack_channel**: Slack channel for team notifications refund_threshold**: Minimum fare drop for refund eligibility. An n8n automation workflow template by Oneclick AI Squad.

By Sarfaraz Muhammad Sajib

This automation workflow captures incoming chat messages from your Tawk.to live chat widget and sends alert emails via Gmail to notify your support team instantly. It is designed to help you respond promptly to visitors and improve your customer support experience. Prerequisites Tawk.to account:** You must have an active Tawk.to account with a configured live chat widget on your website. Gmail account:** A Gmail account with API access enabled and configured in n8n for sending emails. n8n instance:** Access to an n8n workflow automation instance where you will import and configure this workflow. Step-by-Step Setup Instructions 1. Configure Tawk.to Webhook Log in to your Tawk.to dashboard. Navigate to Administration > Webhooks. Click Add Webhook and enter the following: URL: Your n8n webhook URL from the Receive Tawk.to Request node (e.g., https://your-n8n-instance.com/webhook/a4bf95cd-a30a-4ae0-bd2a-6d96e6cca3b4) Method: POST Events: Select the chat message event (e.g., Visitor Message or Chat Message Received) Save the webhook configuration. 2. Configure Gmail Credentials in n8n In your n8n instance, go to Credentials. Add a new Gmail OAuth2 credential: Follow Google's instructions to create a project, enable Gmail API, and obtain client ID and secret. Authenticate and authorize n8n to send emails via your Gmail account. 3. Import and Activate Workflow Import the provided workflow JSON into n8n. Verify the Receive Tawk.to Request webhook node path matches the webhook URL configured in Tawk.to. Enter the email address you want the alerts sent to in the Send alert email node’s sendTo parameter. Activate the workflow. Workflow Explanation Receive Tawk.to Request: This webhook node listens for POST requests from Tawk.to containing chat message data. Format the message: Extracts relevant data from the incoming payload such as chat ID, visitor name, country, and message text, and assigns them to new fields for easy use downstream. Send alert email: Uses Gmail node to send a notification email to your support team with all relevant chat details formatted in a clear, concise text email. Customization Guidance Email Recipient:** Update the sendTo field in the Send alert email node to specify your support team’s email address. Email Content:** Modify the message template in the Send alert email node’s message parameter to suit your tone or include additional details like timestamps or chat URLs. Additional Processing:** You can extend the workflow by adding nodes for logging chats, triggering Slack notifications, or storing messages in a database. By following these instructions, your support team will receive immediate email alerts whenever a new chat message arrives on your website, improving response times and customer satisfaction. An n8n automation workflow template by Sarfaraz Muhammad Sajib.

By Pankstr

Idea The idea for app came since I wanted to build a unique gift for my niece because she gets excited for her birthday (which Im going to miss this year). The web app has a simple countdown (in html and JS) but more importantly, there is an AI agent that will answer some specific questions and know her preferences. How it works The questions from app are sent via web hook to N8N which has pulls preferences file (about her likes, dislikes, personality) from postgre and AI Agent that will answer questions/respond. The current status is stored back in postgre (especially about status of cat and universe happenings) before responding back. Features Integrated AI chatbot via N8N webhook Persistent conversation history Minimizable chat interface Fallback support for offline testing Features: -- Wheres Mittens - This is a query to track her lost cat in multiverse. -- Multiverse updates with recent update stored Pre Requisites Postgre SQL database is available. Alternatively, use any other database but change the N8N nodes. LLM Api Key. Step by Step Instructions Export this N8N Workflow. Modify LLM API Key, I used openAI, 4.1 For web app scofflding,you will need Node, HTML and Javascript. I've created a mini version using Node and JS with web app and N8N connection settings here: <https://github.com/productiser/FiBirthdayAgent> PostgreSQL Database Script (1 table for memory and context storage): CREATE TABLE fifi_world_context ( id TEXT PRIMARY KEY, -- e.g., 'agent_fifi' cat_location TEXT, -- e.g., "Bubble Nebula" cat_activity TEXT, -- e.g., "Playing laser tag with moon mice" fifi_preferences JSONB, -- e.g., likes/dislikes/foods/shows world_history TEXT, -- Summary of narrative events last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP ); 5.Modify system prompt as per your needs. Built With N8N Self hosted Self hosted web app Hosted on Vercel Total spend = <£1 (AI costs only) Total Time = <1 day Support Watch this video for web app overview and how it looks. <https://youtu.be/e7PlrTdvwoM> Contact me on info@pankstr.com/ superllmuser@gmail.com for any queries Hope you enjoy!!. An n8n automation workflow template by Pankstr.

By Sarfaraz Muhammad Sajib

This n8n workflow sends SMS messages through the Textbelt API by accepting phone numbers, messages, and API keys as inputs. It uses a manual trigger to start the process, sets the necessary data, and executes an HTTP POST request to deliver the SMS. Step-by-Step Explanation: Manual Trigger: Starts the workflow manually by clicking ‘Execute workflow’. Set Data Node: Defines the required input parameters (phone, message, and key) that will be sent to the SMS API. You can populate these fields with your target phone number, the text message, and your Textbelt API key. HTTP Request Node: Sends a POST request to https://textbelt.com/tex with the phone number, message, and API key in the request body to send the SMS. The response from the API confirms whether the message was successfully sent. An n8n automation workflow template by Sarfaraz Muhammad Sajib.

By Oneclick AI Squad

This automated n8n workflow continuously monitors airline schedule changes by fetching real-time flight data, comparing it with stored schedules, and instantly notifying both internal teams and affected passengers through multiple communication channels. The system ensures stakeholders are immediately informed of any flight delays, cancellations, gate changes, or other critical updates. Good to Know Flight data accuracy depends on the aviation API provider's update frequency and reliability Critical notifications (cancellations, major delays) trigger immediate passenger alerts via SMS and email Internal Slack notifications keep operations teams informed in real-time Database logging maintains a complete audit trail of all schedule changes The system processes only confirmed schedule changes to avoid false notifications Passenger notifications are sent only to those with confirmed tickets for affected flights How It Works Schedule Trigger - Automatically runs every 30 minutes to check for flight schedule updates Fetch Airline Data - Retrieves current flight information from aviation APIs Get Current Schedules - Pulls existing schedule data from the internal database Process Changes - Compares API data with database records to identify schedule changes Check for Changes - Determines if any updates require processing and notifications Update Database - Saves schedule changes to the internal flight database Notify Slack Channel - Sends operational updates to the flight operations team Check Urgent Notifications - Identifies critical changes requiring immediate passenger alerts Get Affected Passengers - Retrieves contact information for passengers on changed flights Send Email Notifications - Dispatches detailed schedule change emails via SendGrid Send SMS (Critical Only) - Sends urgent text alerts for cancellations and major delays Update Internal Systems - Syncs changes with other airline systems via webhooks Log Sync Activity - Records all synchronization activities for audit and monitoring Data Sources The workflow integrates with multiple data sources and systems: Aviation API (Primary Data Source) Real-time flight status and schedule data Departure/arrival times, gates, terminals Flight status (on-time, delayed, cancelled, diverted) Aircraft and route information Internal Flight Database flight_schedules table - Current schedule data with columns: flight_number (text) - Flight identifier (e.g., "AA123") departure_time (timestamp) - Scheduled departure time arrival_time (timestamp) - Scheduled arrival time status (text) - Flight status (active, delayed, cancelled, diverted) gate (text) - Departure gate number terminal (text) - Terminal identifier airline_code (text) - Airline IATA code origin_airport (text) - Departure airport code destination_airport (text) - Arrival airport code aircraft_type (text) - Aircraft model updated_at (timestamp) - Last update timestamp created_at (timestamp) - Record creation timestamp passengers table - Passenger contact information with columns: passenger_id (integer) - Unique passenger identifier name (text) - Full passenger name email (text) - Email address for notifications phone (text) - Mobile phone number for SMS alerts notification_preferences (json) - Communication preferences created_at (timestamp) - Registration timestamp updated_at (timestamp) - Last profile update tickets table - Booking and ticket status with columns: ticket_id (integer) - Unique ticket identifier passenger_id (integer) - Foreign key to passengers table flight_number (text) - Flight identifier flight_date (date) - Travel date seat_number (text) - Assigned seat ticket_status (text) - Status (confirmed, cancelled, checked-in) booking_reference (text) - Booking confirmation code fare_class (text) - Ticket class (economy, business, first) created_at (timestamp) - Booking timestamp updated_at (timestamp) - Last modification timestamp sync_logs table - Audit trail and system logs with columns: log_id (integer) - Unique log identifier workflow_name (text) - Name of the workflow that created the log total_changes (integer) - Number of schedule changes processed sync_status (text) - Status (completed, failed, partial) sync_timestamp (timestamp) - When the sync occurred details (json) - Detailed log information and changes error_message (text) - Error details if sync failed execution_time_ms (integer) - Processing time in milliseconds Communication Channels Slack - Internal team notifications SendGrid - Passenger email notifications Twilio - Critical SMS alerts Internal webhooks - System integrations How to Use Import the workflow into your n8n instance Configure aviation API credentials (AviationStack, FlightAware, or airline-specific APIs) Set up PostgreSQL database connection with required tables Configure Slack bot token for operations team notifications Set up SendGrid API key and email templates for passenger notifications Configure Twilio credentials for SMS alerts (critical notifications only) Test with sample flight data to verify all notification channels Adjust monitoring frequency and severity thresholds based on operational needs Monitor sync logs to ensure reliable data synchronization Requirements API Access Aviation data provider (AviationStack, FlightAware, etc.) SendGrid account for email delivery Twilio account for SMS notifications Slack workspace and bot token Database Setup PostgreSQL database with flight schedule tables Passenger and ticket management tables Audit logging tables for tracking changes Infrastructure n8n instance with appropriate node modules Reliable internet connection for API calls Proper credential management and security Customizing This Workflow Modify the Process Changes node to adjust change detection sensitivity, add custom business rules, or integrate additional data sources like weather or airport operational data. Customize notification templates in the email and SMS nodes to match your airline's branding and communication style. Adjust the Schedule Trigger frequency based on your operational requirements and API rate limits. An n8n automation workflow template by Oneclick AI Squad.

By Abdullah

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Overview This workflow automates the process of transcribing audio files and summarizing them using OpenAI models, with the final output stored neatly in Notion. Whether you're a researcher, content creator, student, or professional, this automation saves time by converting voice recordings into actionable summaries with zero manual effort. Created by: Abdullah Dilshad Contact: iamabdullahdilshad@gmail.com Who It’s For This template is ideal for: Researchers**: Transcribe and summarize interviews, lectures, or research recordings. Content Creators**: Convert podcasts or videos into transcripts and social captions/show notes. Students**: Automatically turn lectures or study group audio into summarized notes. Professionals**: Log meeting notes and summaries directly into your Notion workspace. How It Works This four-step workflow performs the following: Step 1:* *Trigger: New Audio in Google Drive** Automatically triggers when a new audio file (MP3/WAV) is uploaded to a specified Google Drive folder.The file is then downloaded for processing. Step 2: Transcribe Audio with Whisper** The audio file is sent to OpenAI’s Whisper model for high-accuracy transcription. Step 3: Summarize Transcript with GPT-4** The transcript is passed to GPT-4, which generates a clean, concise summary. Step 4: Store Summary in Notion** A new Notion page is created with the generated summary and optional metadata (file name, upload time, etc.). Setup Instructions Step 1: Google Drive Trigger** Connect your Google Drive account. Select the folder you want to monitor. This node detects new file uploads and passes the file for download. Step 2: Download File** Downloads the new audio file for transcription. Step 3: Transcribe Recording (OpenAI Whisper) Connect your OpenAI API Key. Ensure this node receives the binary audio file. It will return the transcription as plain text. Step 3: Transcribe Recording (OpenAI Whisper)** Connect your OpenAI API Key. Ensure this node receives the binary audio file. It will return the transcription as plain text. Step 4: Summarize Transcript (GPT-4 via AI Agent)** Use your OpenAI API Key. Configure a summarization prompt like: "Summarize the following transcript in a clear and concise manner:" Connect the output from Whisper into this GPT-4 prompt. Step 5: Notion Integration** Connect your Notion account. Choose or create a database to store summaries. Map the GPT output (summary) to a "Text" or "Rich Text" property. Optionally include metadata like filename, file upload date, etc. An n8n automation workflow template by Abdullah.

By WeblineIndia

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automates summarizing YouTube videos by accepting a YouTube URL via a form, fetching the video transcript using Apify, and then generating a concise summary with OpenAI GPT. Setup Instructions Prerequisites: Apify account with access to the YouTube Transcript actor. OpenAI API key (for GPT-4o-mini model). n8n instance with the Apify and OpenAI credentials configured. Configuration Steps Apify Setup: Configure Apify API credentials in the Apify node. Ensure the YouTube Transcript actor ID (1s7eXiaukVuOr4Ueg) is correct. OpenAI Setup: Add your OpenAI API key in the OpenAI Chat Model node. Confirm model selection is set to gpt-4o-mini. Customization Modify form field to accept additional inputs if needed. Adjust Apify actor input JSON in the Payload node for extra metadata extraction. Customize the summarization options to tweak summary length or style. Change OpenAI prompt or model parameters in the OpenAI Chat Model node for different output quality or tone. Steps 1. On Form Submission Node:** Form Trigger Purpose:** Collect the YouTube video URL from the user via a web form. 2. Prepare Payload Node:** Set Purpose:** Format the YouTube URL and options into the JSON payload for Apify input. 3. Fetch Transcript Node:** Apify Purpose:** Run the YouTube Transcript actor to retrieve video captions and metadata. 4. Extract Captions Purpose:** Isolate the captions field from the Apify response for processing. 5. Summarize Transcript Purpose:** Generate a concise summary of the video captions. An n8n automation workflow template by WeblineIndia.