by Yaron Been
🤖 AI Cart Recovery Agent: Smart Abandoned Checkout Assistant Transform abandoned carts into recovered sales with intelligent automation. This sophisticated n8n workflow monitors checkout abandonment, implements smart waiting periods, and sends AI-generated personalized recovery emails only when needed - maximizing conversions while respecting customer experience. 🔄 How It Works This intelligent 7-step recovery system recovers lost sales automatically: Step 1: Initial Abandonment Detection The workflow fetches current abandoned checkout data from your e-commerce platform (Shopify, WooCommerce, etc.), identifying customers who added items but didn't complete their purchase. Step 2: Strategic Grace Period Instead of immediately sending recovery emails, the system waits 1 hour (customizable), giving customers natural time to complete their purchase without pressure or interruption. Step 3: Smart Re-verification After the waiting period, the workflow rechecks the abandonment status by fetching updated checkout data, ensuring accuracy before taking action. Step 4: Intelligent Decision Logic Advanced conditional logic compares initial and updated abandonment lists, determining if customers are still abandoned or have completed their purchase during the grace period. Step 5: AI-Powered Email Generation For customers still showing abandonment, GPT generates personalized recovery emails featuring: Customer's actual name for personal connection Specific products left in their cart Friendly, non-pushy messaging tone Optional discount incentives Compelling call-to-action to complete purchase Step 6: Automated Email Delivery Personalized recovery emails are sent directly to abandoned customers via Gmail or your preferred email service, maintaining professional branding and deliverability. Step 7: Comprehensive Activity Logging All recovery attempts are logged in Google Sheets for tracking, including customer details, email content, and campaign performance analytics. ⚙️ Setup Steps Prerequisites E-commerce platform with API access (Shopify, WooCommerce, BigCommerce) OpenAI API key for personalized email generation Gmail or SMTP email service for delivery Google Sheets for activity tracking and analytics n8n instance (cloud or self-hosted) E-commerce Platform Configuration Shopify Setup: API Endpoint: https://your-store.myshopify.com/admin/api/2023-10/checkouts.json Authentication: X-Shopify-Access-Token header Required Permissions: Read checkouts, Read customers Parameters: status=abandoned WooCommerce Setup: API Endpoint: https://your-site.com/wp-json/wc/v3/orders Authentication: Consumer Key/Secret or JWT Parameters: status=pending, status=failed Required Plugins: WooCommerce REST API Configuration Steps 1. Credential Setup E-commerce API**: Store admin API access tokens or keys OpenAI API Key**: GPT-4 access for intelligent email generation Gmail OAuth2**: Professional email delivery service Google Sheets OAuth2**: Activity logging and performance tracking 2. Abandonment Detection Configuration Monitoring Frequency**: Set workflow trigger schedule (hourly, daily) Grace Period Duration**: Customize wait time (default: 1 hour) Platform Integration**: Configure API endpoints for your specific platform Data Filtering**: Set criteria for what constitutes abandonment 3. AI Email Customization Default email generation includes: Personalization Level**: Customer name, product specifics, cart value Tone Customization**: Friendly, urgent, helpful, or premium Discount Integration**: Optional percentage or fixed amount offers Brand Voice**: Maintain consistent company messaging and style 4. Recovery Campaign Settings Email Timing**: Optimal sending times based on customer time zones Frequency Limits**: Prevent over-emailing with cooldown periods Segmentation Rules**: Different approaches for high-value vs standard carts Follow-up Sequences**: Multi-email recovery campaigns with escalating incentives 5. Performance Tracking Setup Analytics Dashboard**: Google Sheets with recovery metrics and ROI Success Tracking**: Monitor completion rates and revenue recovered A/B Testing**: Compare different email approaches and timing Customer Journey**: Track from abandonment through recovery completion 🚀 Use Cases E-commerce Retailers Fashion & Apparel**: Recover high-value clothing and accessory purchases Electronics**: Target abandoned tech purchases with technical support offers Home & Garden**: Remind customers about seasonal or home improvement items Beauty & Cosmetics**: Recover abandoned skincare and makeup purchases Subscription & SaaS Businesses Software Trials**: Convert abandoned trial signups into paid subscriptions Membership Sites**: Recover incomplete membership purchases Online Courses**: Re-engage learners who abandoned course purchases Digital Services**: Follow up on abandoned service bookings or consultations B2B E-commerce Office Supplies**: Recover bulk order abandonments with volume discounts Industrial Equipment**: Follow up on high-value equipment quote requests Professional Services**: Re-engage businesses that abandoned service bookings Software Licenses**: Recover enterprise software purchase abandonments Specialty Retailers Luxury Goods**: Provide white-glove service for high-value abandoned purchases Custom Products**: Follow up on personalized or custom order abandonments Seasonal Items**: Time-sensitive recovery for holiday or event-specific products Limited Edition**: Create urgency for exclusive or limited availability items Service-Based Businesses Travel & Hospitality**: Recover abandoned hotel, flight, or package bookings Event Tickets**: Re-engage customers who abandoned concert or event purchases Professional Services**: Follow up on abandoned consultation or service bookings Fitness & Wellness**: Recover abandoned membership or class package purchases 🔧 Advanced Customization Options Multi-Platform Integration Extend beyond single platform monitoring: Shopify Plus: Advanced checkout analytics and customer segmentation WooCommerce: Custom post-purchase and abandonment tracking Magento: Enterprise-level cart recovery with customer journey mapping BigCommerce: API-driven recovery with advanced personalization Custom Platforms: Webhook-based abandonment detection and recovery Intelligent Email Sequencing Create sophisticated recovery campaigns: Progressive Incentives**: Escalating discounts over multiple touchpoints Behavioral Triggers**: Different emails based on cart value, customer history Seasonal Campaigns**: Holiday-specific recovery messaging and offers Win-Back Sequences**: Long-term customer re-engagement beyond immediate recovery Advanced Personalization Enhance AI-generated content with: Purchase History Analysis**: Reference previous purchases and preferences Browsing Behavior**: Include recently viewed items and categories Geographic Personalization**: Local offers, shipping options, or store locations Demographic Targeting**: Age, gender, or interest-based messaging customization Performance Optimization Implement advanced tracking and optimization: Revenue Attribution**: Track exact recovery amounts and ROI calculations Customer Lifetime Value**: Prioritize high-value customer recovery efforts Conversion Funnel Analysis**: Identify optimal timing and messaging strategies Predictive Analytics**: Use ML to predict recovery likelihood and optimize approaches 📊 Recovery Email Examples Fashion Retailer Example: Subject: You left something stylish behind, Sarah! Hi Sarah, I noticed you were checking out those gorgeous items in your cart earlier - the Bohemian Summer Dress and Classic Leather Handbag have been waiting for you! I completely understand if you got busy or needed time to think it over. These pieces are still available and ready to ship to you today. Since you showed such great taste in selecting these items, I'd love to offer you 10% off your order to make the decision easier. Just use code WELCOME10 at checkout. Your cart includes: • Bohemian Summer Dress (Size M) - $89.99 • Classic Leather Handbag (Brown) - $156.99 Complete your purchase now and get free shipping to your door! [Complete My Purchase] Best regards, The StyleHub Team P.S. These items are popular and inventory is limited - don't wait too long! Software/SaaS Example: Subject: Your ProductivityPro trial is waiting, Mike Hi Mike, You were just one step away from unlocking the full power of ProductivityPro for your team at TechStartup Inc. I noticed you explored our Premium Plan features - the advanced reporting and team collaboration tools that could streamline your workflow and boost productivity by up to 40%. Since you invested time exploring our platform, I'd like to offer you an exclusive 25% discount on your first year. This offer is valid for the next 48 hours. Your selected plan: • ProductivityPro Premium (5 users) - $99/month • With 25% discount: $74/month (Save $300/year!) Ready to transform your team's productivity? [Activate My Account] Questions? Reply to this email or schedule a quick 15-minute demo call. Best regards, David Chen Customer Success Manager, ProductivityPro High-Value B2B Example: Subject: Your equipment quote is ready for approval, Jennifer Hi Jennifer, Thank you for your interest in our Industrial Packaging System for ManuCorp's new facility expansion. I understand that equipment investments of this scale require careful consideration and stakeholder alignment. Your configured system includes: • Model X5000 Packaging Line - $45,000 • Installation & Training Package - $8,000 • Extended 3-Year Warranty - $3,500 Total Investment: $56,500 Given the scope of your project, I'd like to extend our Q1 promotion pricing, which provides: 15% discount on equipment ($6,750 savings) Free installation supervision ($2,000 value) Expedited 6-week delivery This brings your total to $48,750 - a savings of $7,750. I'm available for a brief call to address any technical questions or help facilitate internal approvals. [Accept Quote & Proceed] Best regards, Robert Martinez Senior Sales Engineer Industrial Solutions Inc. Direct: (555) 123-4567 🛠️ Troubleshooting & Best Practices Common Issues & Solutions API Rate Limiting Implement exponential backoff for API requests Stagger workflow execution times across different stores Monitor API usage and upgrade plans as needed Cache frequently accessed data to reduce API calls Email Deliverability Challenges Use authenticated SMTP services with proper SPF/DKIM setup Monitor sender reputation and email engagement metrics Implement opt-out mechanisms and respect unsubscribe requests Segment email lists and avoid over-emailing customers False Positive Recoveries Extend grace periods for complex checkout processes Implement more sophisticated abandonment detection logic Add customer behavior analysis before triggering recovery Create exception rules for technical checkout failures Optimization Strategies Recovery Timing Optimization A/B test different grace period durations (30 min, 1 hour, 3 hours) Analyze customer behavior patterns to optimize sending times Consider time zone differences for global customer bases Implement seasonal timing adjustments for holidays and events Content Personalization Enhancement Continuously refine AI prompts based on successful recoveries Implement dynamic discount strategies based on cart value Create customer segment-specific messaging approaches Add urgency elements for time-sensitive or limited inventory items Performance Measurement Track recovery rates, revenue impact, and customer satisfaction Implement cohort analysis for long-term customer value impact Monitor email engagement metrics and optimize accordingly Calculate true ROI including customer acquisition costs and lifetime value 📈 Success Metrics Recovery Performance Indicators Recovery Rate**: Percentage of abandoned carts successfully recovered Revenue Recovery**: Total dollar amount recovered from abandoned purchases Email Engagement**: Open rates, click rates, and conversion rates Time to Recovery**: Average time from abandonment to completed purchase Business Impact Measurements ROI Calculation**: Revenue recovered vs workflow operational costs Customer Retention**: Impact on long-term customer relationships Average Order Value**: Effect on overall purchase values post-recovery Operational Efficiency**: Automation savings vs manual recovery efforts 📞 Questions & Support Need help implementing your AI Cart Recovery Agent? 📧 E-commerce Automation Expert Support Email**: Yaron@nofluff.online Response Time**: Within 24 hours on business days Specialization**: E-commerce automation, cart recovery optimization, AI email personalization 🎥 Comprehensive Implementation Resources YouTube Channel**: https://www.youtube.com/@YaronBeen/videos Complete setup guides for major e-commerce platforms Advanced AI email personalization techniques Recovery campaign optimization strategies Integration tutorials for Shopify, WooCommerce, and custom platforms Performance tracking and analytics implementation 🤝 E-commerce Automation Community LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Connect for ongoing e-commerce automation support and consulting Share your cart recovery success stories and ROI achievements Access exclusive templates for different industry verticals Join discussions about e-commerce automation trends and innovations 💬 Support Request Guidelines Include in your support message: Your e-commerce platform and current cart abandonment rates Average order values and customer segments you serve Current recovery processes and conversion challenges Integration requirements with existing marketing tools Specific technical errors or workflow execution issues
by Dvir Sharon
Automated Content Idea Generation and Expansion with Google Gemini and Google Sheets This n8n workflow automates the process of generating content ideas based on a user-defined topic, then expands each idea into a more detailed content piece (like a blog post) using Google Gemini, and finally saves all the generated data (idea title, description, and full content) into a Google Sheet. It's a powerful tool for streamlining content creation workflows. This workflow includes: Generation of multiple content ideas from a single topic. Expansion of each idea into detailed content using AI. Storage of ideas and generated content in a structured Google Sheet. Sticky Notes within the workflow for inline documentation and setup guidance. Prerequisites n8n Instance: You need a running n8n instance (self-hosted or cloud). Google AI Account: Access to Google AI (Gemini). You will need an API key. Google Account: Access to Google Sheets. You will need to create or use an existing spreadsheet with specific column headers. Installation and Setup Import the Workflow: Copy the entire JSON code provided. In your n8n instance, go to "Workflows". Click "New" -> "Import from JSON". Paste the JSON code and click "Import". Configure Credentials: Google AI (Gemini): Find the "Google Gemini Chat Model for Content Idea Generator" node and the "Google Gemini Chat Model for Content Generation" node. Click on the "Credentials" field in both nodes (it will likely show a placeholder name like "Google Gemini(PaLM) Api account"). Click "Create New". Select "Google AI API". Enter your Google AI API Key. Save the credential. (You can reuse the same credential for both nodes). Google Sheets: Find the "Google Sheets" node. Click on the "Credentials" field (it will likely show a placeholder name like "Google Sheets account"). Click "Create New". Select "Google Sheets OAuth2 API". Follow the steps to connect your Google Account and grant n8n access to Google Sheets. Save the credential. Configure Google Sheets Node: Open the "Google Sheets" node settings. Spreadsheet ID: Replace the placeholder value with the actual ID of your Google Sheet. You can find the Spreadsheet ID in the URL of your Google Sheet (it's the long string of characters between /d/ and /edit). Sheet Name: Select or enter the name or GID of the sheet within your spreadsheet where you want to save the data (e.g., Sheet1 or gid=0). Columns: Ensure your Google Sheet has columns named title, description, and content. The node is configured to map the generated data to these specific column headers. Save the node settings. Review Sticky Notes: Look at the Sticky Notes placed around the workflow canvas. They provide helpful context and reminders for setup, required Google Sheet columns, and the AI models used. How to Use Activate the Workflow: Toggle the workflow switch to "Active". Trigger the Workflow: Since this workflow uses a "When clicking ‘Execute workflow’" node as the trigger, you can run it directly from the n8n editor. Click the "Execute Workflow" button. The workflow will start automatically. Set the Topic: Open the "Set the input fields" node. Modify the topic value to the subject you want to generate content ideas about. Save the node settings. Monitor Execution: Watch the workflow execute. The nodes will light up as they process. The "Loop Over Items" node will show multiple executions as it processes each generated idea. Check Results: The generated content ideas (title, description) and the expanded content will be written as new rows in the Google Sheet you configured. Each row will correspond to one generated idea and its content. This workflow provides a robust starting point for AI-assisted content creation. You can customize the AI prompts in the "Content Idea Generator" and "LLM Content Generator" nodes to refine the output style and format, or integrate additional steps like sending notifications or further processing the generated content.
by Gleb D
This n8n workflow automates the discovery, enrichment, and comparative analysis of startups from the Crunchbase dataset via Bright Data, enhanced with AI, and exports structured results to Google Sheets. 🚀 What It Does Receives a keyword from the user that describes the area of interest — such as an industry, sector, technology, or trend (e.g., "AI in healthcare", "carbon capture", "edtech"). This keyword is used to filter relevant startups from the Crunchbase dataset via Bright Data. Fetches data from Bright Data's Crunchbase snapshot API. Extracts and cleans key fields from the JSON response. Sorts startups by most recent founding date. Selects the top 10 most recent companies. Sends these 10 companies to Google Gemini AI for comparative analysis. Embeds the AI-generated summary into the final export. Appends results to a Google Sheet for tracking and reporting. 🛠️ Step-by-Step Setup Get user keyword input from a form. Use 3 Bright Data requests: Start snapshot. Poll snapshot status until ready. Fetch snapshot data in JSON format. Use a Python Code node to: Parse and sort companies by founded_date. Clean and standardize data fields. Pass the top 10 companies into Gemini AI for comparative insight. Merge the AI output back with company data. Send everything to Google Sheets. 🧠 How It Works Snapshot Control: Polls every few seconds until the Bright Data snapshot is complete. Code Cleanup: Ensures consistent structure and formatting across all records. Comparative AI Analysis: Gemini compares all 10 companies at once and returns a unified analysis. Merging Output: AI analysis is merged into the first company’s record (to avoid duplication), while all 10 are exported. 📤 Google Sheet Output Each row includes: name, founded, about, num_employees, type, ipo_status, full_description, social_media_links, address, website, funding_total, num_investors, lead_investors, founders, products_and_services, monthly_visits, crunchbase_link, ai_analysis. AI comparative analysis summary (only once per batch – attached to the first company). All fields from above customizible through the python code (you can add additional ones from Bright Data output). 🔐 Required Credentials Bright Data* – Replace *YOUR_API_KEY** in 3 HTTP Request nodes. Google Gemini API** – For AI analysis. Google Sheets OAuth2** – For spreadsheet export. ⚠️ Notes AI output is shared once per batch of 10 companies, attached to the first company entry. You can configure the limit of batch size in the first "Code" node.
by Don Jayamaha Jr
A short-term technical analysis agent for 15-minute candles on Binance Spot Market pairs. Calculates and interprets key trading indicators (RSI, MACD, BBANDS, ADX, SMA/EMA) and returns structured summaries, optimized for Telegram or downstream AI trading agents. This tool is designed to be triggered by another workflow (such as the Binance SM Financial Analyst Tool or Binance Quant AI Agent) and is not intended for standalone use. 🔧 Key Features ⏱️ Uses 15-minute kline data (last 100 candles) 📈 Calculates: RSI, MACD, Bollinger Bands, SMA/EMA, ADX 🧠 Interprets numeric data using GPT-4.1-mini 📤 Outputs concise, formatted analysis like: • RSI: 72 → Overbought • MACD: Cross Up • BB: Expanding • ADX: 34 → Strong Trend 🧠 AI Agent Purpose > You are a short-term analysis tool for spotting volatility, early breakouts, and scalping setups. Used by higher agents to determine: Entry/exit precision Momentum shifts Scalping opportunities ⚙️ How it Works Triggered externally by another workflow Accepts input: { "message": "BTCUSDT", "sessionId": "123456789" } Sends POST request to backend endpoint: https://treasurium.app.n8n.cloud/webhook/15m-indicators Fetches last 100 candles and calculates indicators Passes data to GPT for interpretation Returns summary with indicator tags for human readability 🔗 Dependencies This tool is triggered by: ✅ Binance SM Financial Analyst Tool ✅ Binance Spot Market Quant AI Agent 🚀 Setup Instructions Import into your n8n instance Make sure /15m-indicators webhook is active and calculates indicators correctly Connect your OpenAI GPT-4.1-mini credentials Trigger from upstream agent with Binance symbol and session ID Ensure all external calls (to Binance + webhook) are working 🧪 Example Use Cases | Use Case | Result | | ------------------------------------- | --------------------------------------- | | Short-term trade decision for ETHUSDT | Receives 15m signal indicators summary | | Input from Financial Analyst Tool | Returns real-time volatility snapshot | | Telegram bot asks for “DOGE update” | Returns momentum indicators in 15m view | 🎥 Watch Tutorial: 🧾 Licensing & Attribution © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade report structure are IP-protected. No unauthorized rebranding or resale permitted. 🔗 For support: Don Jayamaha – LinkedIn
by Sam Robertson
Generate Summaries from Uploaded Files using OpenAI Assistants API 📑 Overview Upload a document (PDF, DOCX, PPTX, TXT, CSV, JSON, or Markdown) and receive an AI-generated summary containing: title** – 5-10 words summary** – 1-2 sentences bullets** – 3-5 key points tags** – 3-6 short keywords The workflow: Stores the file in OpenAI. Runs an Assistant with File Search and Code Interpreter enabled. Polls until the run finishes. Retrieves the summary JSON. ✅ Prerequisites OpenAI Assistant Create one at <https://platform.openai.com/assistants> Enable File Search and Code Interpreter Note: The assistant ID starts with asst_ OpenAI API credential setup in n8n Go to Credentials → New → HTTP Header Auth Header name: Authorization Value: Bearer YOUR-OPENAI-API-KEY (replace YOUR-OPENAI-API-KEY with your OpenAI API secret key for your assistant, starts with sk-) Name it: openAIApiHeader 🔧 Setup Import the workflow JSON. When n8n prompts for a credential, choose openAIApiHeader for every HTTP Request node. Open Run Assistant → Body and replace "assistant_id": "REPLACE_WITH_YOUR_ASSISTANT_ID" with your real ID (starts with asst_…). Save. 🚀 How it works | # | Node | Purpose | |---|------|---------| | 1 | On form submission | User uploads a file (File). | | 2 | Upload File | POST /v1/files (multipart) → returns file_id. | | 3 | Create Thread | Creates a thread and attaches the uploaded file. | | 4 | Run Assistant | Starts the run using your assistant_id. | | 5 | Poll Run Status → Wait 2 s → IF | Loops until status = completed. | | 6 | Fetch Summary | GET /v1/threads/{thread_id}/messages → summary JSON. | 🖌️ Customisation ideas Edit the user prompt in Create Thread to change summary length, tone, or language. Add an HTTP Response node after Fetch Summary to return plaintext to the uploader. Replace the polling loop with OpenAI’s forthcoming wait-for-run endpoint when available. No community nodes required. Works on any n8n Cloud plan (Starter, Pro, Enterprise) or self-hosted Community Edition.
by WeblineIndia
Smart Document Parser for Invoices, Logs or Sensor Reports (PDF/Image to Google Sheets) This n8n workflow automatically parses documents such as invoices, sensor logs or structured PDFs/images (including scanned docs or CSVs), extracts key fields like totals, dates and customer/vendor info using OCR and AI, and writes the structured output into Google Sheets. Who’s it for Finance or Ops teams automating invoice processing. SaaS platforms parsing uploaded reports or documents. Anyone needing a no-code backend for PDF/image/CSV document parsing. AI-powered data capture pipelines. How it works Webhook Trigger receives file uploads (/uploadDoc) Switch Node checks the file type: If image → Use Tesseract OCR If PDF → Use PDF parser If CSV → Extract as-is Extracted text is passed to: Google Gemini or Gemini Flash AI model Prompt extracts fields like invoice_id, total, customer_name, etc. JSON string is parsed and cleaned Data is appended to Google Sheets using appendOrUpdate How to set up Create a Google Sheet with columns like: invoice_id, invoice_date, due_date, customer_name, vendor_name, subtotal, tax_total, total, currency Connect: Google Sheets OAuth Google Gemini (PaLM API key) for LLM parsing Deploy the webhook endpoint: /uploadDoc Upload sample files (PDFs, images, CSVs) to test Review and map sheet columns in the Invoice Data node Requirements | Tool | Purpose | | ------------- | --------------------------------- | | n8n | Automation framework | | Google Sheets | To store structured output | | Tesseract OCR | For scanned image text extraction | | Google Gemini | For natural language parsing | How to customize Add extraction for line items using structured prompts. Change prompt to extract sensor readings, log types, or custom keys. Add support for other file types (e.g., XLSX, DOCX). Add Slack/Email notifications on success/failure. Swap Gemini with OpenAI or Hugging Face if preferred. Add‑ons Save uploaded files to Google Drive or S3 Add auth for secure uploads Use charting/dashboard nodes to visualize extracted data Integrate with billing/accounting software Use Case Examples | Scenario | What Happens | | ----------------------- | ------------------------------------------------------- | | Invoice Upload (PDF) | Extracts totals, customer, tax data into a Google Sheet | | Scanned Receipt (Image) | OCR + LLM extracts structured data | | Log File (CSV) | Parses and logs entries into Sheets | Common troubleshooting | Issue | Possible Cause | Solution | | --------------------------------- | ----------------------- | ------------------------------------------- | | Webhook not triggered | URL or method mismatch | Use correct POST URL /uploadDoc | | Text is blank | OCR failed | Check image quality or Tesseract config | | Gemini model not returning JSON | Prompt formatting issue | Ensure prompt ends with valid JSON schema | | Sheet not updated | Invalid Sheet ID or tab | Double-check sheet credentials and tab name | Need Help? Need help fine-tuning the Gemini prompt for better field accuracy? Want to extract full tables, multi-page invoices or convert PDFs to JSON lines? Our automation team at WeblineIndia can help you extend this into a full-blown document automation pipeline.
by Arthur Braghetto
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Clean Web Content Extraction with Anti-Bot Fallback Extract clean and structured text from any webpage with optional fallback to an anti-bot scraping service. Ideal for AI tools and content workflows. 🧠 How it Works This sub-workflow enables reliable and clean scraping of any public webpage by simply passing a url parameter. It is designed to be embedded into other workflows or used as a tool for AI agents. It supports two output modes: fulltext:* true — returns *{ title, text } with full page content fulltext:* false — returns *{ title, url, content } with a short excerpt 💡 If the site is protected by anti-bot systems (like Cloudflare), it will automatically fallback to Scrape.do, a scraping API with a generous free plan. 🧩 This template requires the n8n-nodes-webpage-content-extractor community node, so it only works in self-hosted n8n environments. 🚀 Use Cases As a reusable sub-workflow, via Execute Sub-workflow node. As a tool for an AI Agent, compatible with Call n8n Workflow Tool. Perfect for chatbots, summarization workflows, or RSS/feed enrichment. Empowers your AI Agent with the ability to browse and extract readable content from websites automatically. 🔖 Parameters url (string): the webpage URL to scrape fulltext (boolean): set true for full page content, false for summarized output ⚙️ Setup Install the community node n8n-nodes-webpage-content-extractor in your self-hosted n8n instance. Create a free account at Scrape.do and obtain your API Token. In the workflow, locate the Scrape.do HTTP Request node and configure the credentials using your API Token. Detailed step-by-step instructions are available in the workflow notes. The Scrape.do API is only used as a fallback when conventional scraping fails, helping you preserve your API credits.
by Julian Kaiser
🗂️ Bulk File Upload to Google Drive with Folder Management How it works User submits files and target folder name via form Workflow checks if folder exists in Drive Creates folder if needed or uses existing one Processes and uploads all files maintaining structure Set up steps (Est. 10-15 mins) Set up Google Drive credentials in n8n Replace parent folder ID in search query with your Drive folder ID Configure form node with: Multiple file upload field Folder name text field Test workflow with sample files 💡 Detailed configuration steps and patterns are documented in sticky notes within the workflow. Perfect for: Bulk file organization Automated Drive folder management File upload automation Maintaining consistent file structures
by Akash Kankariya
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 🎯 Overview This n8n workflow template automates the process of monitoring Instagram comments and sending predefined responses based on specific comment keywords. It integrates Instagram's Graph API with Google Sheets to manage comment responses and maintains an interaction log for customer relationship management (CRM) purposes. 🔧 Workflow Components The workflow consists of 9 main nodes organized into two primary sections: 📡 Section 1: Webhook Verification ✅ Get Verification (Webhook node) 🔄 Respond to Verification Message (Respond to Webhook node) 🤖 Section 2: Auto Comment Response 📬 Insta Update (Webhook node) ❓ Check if update is of comment? (Switch node) 👤 Comment if of other user (If node) 📊 Comment List (Google Sheets node) 💬 Send Message for Comment (HTTP Request node) 📝 Add Interaction in Sheet (CRM) (Google Sheets node) 🛠️ Prerequisites and Setup Requirements 1. 🔵 Meta/Facebook Developer Setup 📱 Create Facebook App > 📋 Action Items: > - [ ] Navigate to Facebook Developers > - [ ] Click "Create App" and select "Business" type > - [ ] Configure the following products: > - ✅ Instagram Graph API > - ✅ Facebook Login for Business > - ✅ Webhooks 🔐 Required Permissions Configure the following permissions in your Meta app: | instagram_basic | 📖 Read Instagram account profile info and media | instagram_manage_comments | 💬 Create, delete, and manage comments | instagram_manage_messages | 📤 Send and receive Instagram messages | pages_show_list | 📄 Access connected Facebook pages 🎫 Access Token Generation > ⚠️ Important Setup:+ > - [ ] Use Facebook's Graph API Explorer > - [ ] Generate a User Access Token with required permissions > - [ ] ⚡ Important: Tokens expire periodically and need refreshing 2. 🌐 Webhook Configuration 🔗 Setup Webhook URL > 📌 Configuration Checklist: > - [ ] In Meta App Dashboard, navigate to Products → Webhooks > - [ ] Subscribe to Instagram object > - [ ] Configure webhook URL: your-n8n-domain/webhook/instagram > - [ ] Set verification token (use "test" or create secure token) > - [ ] Select webhook fields: > - ✅ comments - For comment notifications > - ✅ messages - For DM notifications (if needed) ✅ Webhook Verification Process The workflow handles Meta's webhook verification automatically: 📡 Meta sends GET request with hub.challenge parameter 🔄 Workflow responds with the challenge value to confirm subscription 3. 📊 Google Sheets Setup Example - https://docs.google.com/spreadsheets/d/1ONPKJZOpQTSxbasVcCB7oBjbZcCyAm9gZ-UNPoXM21A/edit?usp=sharing 📋 Create Response Management Sheet Set up a Google Sheets document with the following structure: 📝 Sheet 1 - Comment Responses: | Column | Description | Example | |--------|-------------|---------| | 💬 Comment | Trigger keywords | "auto", "info", "help" | | 📝 Message | Corresponding response message | "Thanks for your comment! We'll get back to you soon." | 📈 Sheet 2 - Interaction Log: | Column | Description | Purpose | |--------|-------------|---------| | ⏰ Time | Timestamp of interaction | Track when interactions occur | | 🆔 User Id | Instagram user ID | Identify unique users | | 👤 Username | Instagram username | Human-readable identification | | 📝 Note | Additional notes or error messages | Debugging and analytics | 🔧 Built By - akash@codescale.tech
by Nukeador
Who is this for? BlueSky users looking to automate the publication of new posts based on new items from a RSS feed. What this workflow does This will create a BlueSky post with each new RSS feed item, including the feed title, post image, link and content (up to 200 characters) Setup You'll need to generate a BlueSky app password Configure your feed URL in the first node Configure your credentials in the second node How to customize this workflow to your needs You can modify the message posted in the `Create post node, changing the JSON text` value, in case you want to include only the feed item title instead of the content. If you RSS feed doesn't provide an image, you can define a static one on the `Download image` node.
by Airtop
Automating File (Image) Upload to Postimages.org Use Case Manually uploading screenshots or other image files to hosting platforms like Postimages.org can be tedious and time-consuming. This automation simplifies the process by automatically uploading an image to Postimages.org and validating the result, which is especially useful for repetitive QA tasks, reporting, or archiving visual web data. What This Automation Does This automation uploads a screenshot to Postimages.org using the following steps: Creates a browser session using Airtop. Navigates to the Postimages.org upload page. Takes a screenshot using the browser session. Uploads the screenshot to the site via the "Choose images" button. Waits briefly to ensure upload processing. Captures a post-upload screenshot for validation. How It Works Session Initialization: Starts a browser session using the Airtop node. Navigation: Opens the URL https://postimages.org/ in a new window. Screenshot Capture: Takes a screenshot to use for upload. File Upload: Uploads the screenshot to the site using the file upload interaction. Validation: Waits 5 seconds and then captures a second screenshot to confirm the image was uploaded successfully. Setup Requirements Airtop API Key — required for session creation and browser interactions. Next Steps Customize for Other Sites**: Adapt this workflow to automate file uploads to different platforms. Integrate with Reporting Tools**: Combine this automation with workflows that require image reporting or archiving. Enhance Validation**: Add logic to parse the upload confirmation or retrieve the image URL programmatically for logging or sharing. Read more about how to automate file uploads to the web
by Jimleuk
This n8n template demonstrates how to use OpenAI's Responses API with existing LLM and AI Agent nodes. Though I would recommend just waiting for official support, if you're impatient and would like a round-about way to integrate OpenAI's responses API into your existing AI workflows then this template is sure to satisfy! This approach implements a simple API wrapper for the Responses API using n8n's builtin webhooks. When the base url is pointed to these webhooks using a custom OpenAI credential, it's possible to intercept the request and remap for compatibility. How it works An OpenAI subnode is attached to our agent but has a special custom credential where the base_url is changed to point at this template's webhooks. When executing a query, the agent's request is forwarded to our mini chat completion workflow. Here, we take the default request and remap the values to use with a HTTP node which is set to query the Responses API. Once a response is received, we'll need to remap the output for Langchain compatibility. This just means the LLM or Agent node can parse it and respond to the user. There are two response formats, one for streaming and one for non-streaming responses. How to use You must activate this workflow to be able to use the webhooks. Create the custom OpenAI credential as instructed. Go to your existing AI workflows and replace the LLM node with the custom OpenAI credential. You do not need to copy anything else over to the existing template. Requirements OpenAI account for Responses API Customising this workflow Feel free to experiment with other LLMs using this same technique! Keep up to date with the Responses API announcements and make modifications as required.