by Davide
This workflow automates the full pipeline for extending short Viral UGC-style videos using AI, merging them, and finally publishing the output to cloud storage or social media platforms (TikTok, Instagram, Facebook, Linkedin, X, and YouTube). It integrates multiple external APIs (Fal.ai, Runpod/Kling 2.1, Postiz, Upload-Post, Google Sheets, Google Drive) to create a smooth end-to-end video-generation system. Key Advantages 1. ✅ Full End-to-End Automation The workflow covers the entire process: Read inputs Generate extended clips Merge them Save outputs Publish on social platforms No manual intervention required after starting the workflow. 2. ✅ AI-Powered Video Extension (Kling 2.1 or other models like Veo 3.1 or Sora 2) The system uses Kling 2.1 (Kling 2.1 or other models like Veo 3.1 or Sora 2) to extend short videos realistically, enabling: Longer UGC clips Consistent cinematic style Smooth transitions based on extracted frames Ideal for viral social media content. 3. ✅ Smart Integration with Google Sheets The spreadsheet becomes a control panel: Add new videos to extend Control merging Automatically store URLs and results This makes the system user-friendly even for non-technical operators. 4. ✅ Robust Asynchronous Job Handling Every external API includes: Status checks Waiting loops Error prevention steps This ensures reliability when working with long-running AI processes. 5. ✅ Automatic Merging and Publishing Once videos are generated, the workflow: Merges them in the correct order Uploads them to Google Drive Posts them automatically to selected social platforms This drastically reduces time required for content production and distribution. 6. ✅ Highly Scalable and Customizable Because it is built in n8n: You can add more APIs You can add editing steps You can connect custom triggers (e.g., Airtable, webhooks, Shopify, etc.) You can fully automate your video-production pipeline How It Works This workflow automates the process of extending and merging videos using AI-generated content, then publishing the final result to social media platforms. The process consists of five main stages: Data Input & Frame Extraction** The workflow starts by reading video and prompt data from a Google Sheet. It extracts the last frame from the input video using Fal.ai’s FFmpeg API. AI Video Generation** The extracted frame is sent to RunPod’s Kling 2.1 AI model to generate a new video clip based on the provided prompt and desired duration. Video Merging** Once the AI-generated clip is ready, it is merged with the original video using Fal.ai’s FFmpeg merge functionality to create a seamless extended video. Storage & Publishing** The final merged video is uploaded to Google Drive and simultaneously distributed to social media platforms via: YouTube (via Upload-Post) TikTok, Instagram, Facebook, X, and YouTube (via Postiz) Progress Tracking** Throughout the process, the Google Sheet is updated with the status, video URLs, and completion markers to keep track of each step. Set Up Steps To configure this workflow, follow these steps: Prepare the Google Sheet Use the provided template or clone this sheet. Fill in the START (video URL), PROMPT (AI prompt), and DURATION (in seconds) columns. Configure Fal.ai API for Frame Extraction & Merging Create an account at fal.ai. Obtain your API key. In the nodes “Extract last frame”, “Merge Videos”, and related status nodes, set up HTTP Header Authentication with: Name: Authorization Value: Key YOUR_API_KEY Set Up RunPod API for AI Video Generation Sign up at RunPod and get your API key. In the “Generate clip” node, configure HTTP Bearer Authentication with: Value: Bearer YOUR_RUNPOD_API_KEY Configure Social Media Publishing For YouTube: Create a free account at Upload-Post and set your YOUR_USERNAME and TITLE in the “Upload to Youtube” node. For Multi-Platform Posting: Sign up at Postiz and configure your Channel_ID and TITLE in the “Upload to Social” node. Connect Google Services Set up Google Sheets and Google Drive OAuth2 credentials in their respective nodes to allow reading from and writing to the sheet and uploading videos to Drive. Execute the Workflow Once all credentials are set, trigger the workflow manually via the “When clicking ‘Execute workflow’” node. The process will run autonomously, updating the sheet and publishing the final video upon completion. 👉 Subscribe to my new YouTube channel. Here I’ll share videos and Shorts with practical tutorials and FREE templates for n8n. Need help customizing? Contact me for consulting and support or add me on Linkedin.
by DataMinex
Transform property searches into personalized experiences! This powerful automation delivers dream home matches straight to clients' inboxes with professional CSV reports - all from a simple web form. 🚀 What this workflow does Create a complete real estate search experience that works 24/7: ✨ Smart Web Form - Beautiful property search form captures client preferences 🧠 Dynamic SQL Builder - Intelligently creates optimized queries from user input ⚡ Lightning Database Search - Scans 1000+ properties in milliseconds 📊 Professional CSV Export - Excel-ready reports with complete property details 📧 Automated Email Delivery - Personalized emails with property previews and attachments 🎯 Perfect for: Real Estate Agents** - Generate leads and impress clients with instant service Property Managers** - Automate tenant matching and recommendations Brokerages** - Provide 24/7 self-service property discovery Developers** - Showcase available properties with professional automation 💡 Why this workflow is a game-changer > "From property search to professional report delivery in under 30 seconds!" ⚡ Instant Results: Zero wait time for property matches 🎨 Professional Output: Beautiful emails that showcase your expertise 📱 Mobile Optimized: Works flawlessly on all devices 🧠 Smart Filtering: Only searches criteria clients actually specify 📈 Infinitely Scalable: Handles unlimited searches simultaneously 📊 Real Estate Data Source Built on authentic US market data from the Github: 🏘️ 1000+ Real Properties across all US states 💰 Actual Market Prices from legitimate listings 🏠 Complete Property Details (bedrooms, bathrooms, square footage, lot size) 📍 Verified Locations with accurate cities, states, and ZIP codes 🏢 Broker Information for authentic real estate context 🛠️ Quick Setup Guide Prerequisites Checklist ✅ [ ] SQL Server database (MySQL/PostgreSQL also supported) [ ] Gmail account for automated emails [ ] n8n instance (cloud or self-hosted) [ ] 20 minutes setup time Step 1: Import Real Estate Data 📥 🌟 Download the data 💾 Download CSV file (1000+ properties included) 🗄️ Create SQL Server table with this exact schema: CREATE TABLE [REALTOR].[dbo].[realtor_usa_price] ( brokered_by BIGINT, status NVARCHAR(50), price DECIMAL(12,2), bed INT, bath DECIMAL(3,1), acre_lot DECIMAL(10,8), street BIGINT, city NVARCHAR(100), state NVARCHAR(50), zip_code INT, house_size INT, prev_sold_date NVARCHAR(50) ); 📊 Import your CSV data into this table Step 2: Configure Database Connection 🔗 🔐 Set up Microsoft SQL Server credentials in n8n ✅ Test connection to ensure everything works 🎯 Workflow is pre-configured for the table structure above Step 3: Gmail Setup (The Magic Touch) 📧 🌐 Visit Google Cloud Console 🆕 Create new project (or use existing) 🔓 Enable Gmail API in API Library 🔑 Create OAuth2 credentials (Web Application) ⚙️ Add your n8n callback URL to authorized redirects 🔗 Configure Gmail OAuth2 credentials in n8n ✨ Authorize your Google account Step 4: Launch Your Property Search Portal 🚀 📋 Import this workflow template (form is pre-configured) 🌍 Copy your webhook URL from the Property Search Form node 🔍 Test with a sample property search 📨 Check email delivery with CSV attachment 🎉 Go live and start impressing clients! 🎨 Customization Playground 🏷️ Personalize Your Brand // Customize email subjects in the Gmail node "🏠 Exclusive Properties Curated Just for You - ${results.length} Perfect Matches!" "✨ Your Dream Home Portfolio - Handpicked by Our Experts" "🎯 Hot Market Alert - ${results.length} Premium Properties Inside!" 🔧 Advanced Enhancements 🎨 HTML Email Templates**: Create stunning visual emails with property images 📊 Analytics Dashboard**: Track popular searches and user engagement 🔔 Smart Alerts**: Set up automated price drop notifications 📱 Mobile Integration**: Connect to React Native or Flutter apps 🤖 AI Descriptions**: Add ChatGPT for compelling property descriptions 🌍 Multi-Database Flexibility // Easy database switching // MySQL: Replace Microsoft SQL node → MySQL node // PostgreSQL: Swap for PostgreSQL node // MongoDB: Use MongoDB node with JSON queries // Even CSV files: Use CSV reading nodes for smaller datasets 🚀 Advanced Features & Extensions 🔥 Pro Tips for Power Users 🔄 Bulk Processing**: Handle multiple searches simultaneously 💾 Smart Caching**: Store popular searches for lightning-fast results 📈 Lead Scoring**: Track which properties generate most interest 📅 Follow-up Automation**: Schedule nurturing email sequences 🎯 Integration Possibilities 🏢 CRM Connection**: Auto-add qualified leads to your CRM 📅 Calendar Integration**: Add property viewing scheduling 📊 Price Monitoring**: Track market trends and price changes 📱 Social Media**: Auto-share featured properties to social platforms 💬 Chat Integration**: Connect to WhatsApp or SMS for instant alerts 🔗 Expand Your Real Estate Automation 🌟 Related Workflow Ideas 🤖 AI Property Valuation - Add machine learning for price predictions 📊 Market Analysis Reports - Generate comprehensive market insights 📱 SMS Property Alerts - Instant text notifications for hot properties 🏢 Commercial Property Search - Adapt for office and retail spaces 💹 Investment ROI Calculator - Add financial analysis for investors 🏘️ Neighborhood Analytics - Include school ratings and demographics 🛠️ Technical Extensions 📷 Image Processing: Auto-resize and optimize property photos 🗺️ Map Integration: Add interactive property location maps 📱 Progressive Web App: Create mobile app experience 🔔 Push Notifications: Real-time alerts for saved searches 🚀 Get Started Now Import this workflow template Configure your database and Gmail Customize branding and messaging Launch your professional property search portal Watch client satisfaction soar!
by Dr. Firas
💥 Automate AI Video Creation & Multi-Platform Publishing with Veo 3.1 & Blotato 🎯 Who is this for? This workflow is designed for content creators, marketers, and automation enthusiasts who want to produce professional AI-generated videos and publish them automatically on social media — without editing or manual uploads. Perfect for those using Veo 3.1, GPT-4, and Blotato to scale video creation. 💡 What problem is this workflow solving? Creating short-form content (TikTok, Instagram Reels, YouTube Shorts) is time-consuming — from writing scripts to video editing and posting. This workflow eliminates the manual steps by combining AI storytelling + video generation + automated publishing, letting you focus on creativity while your system handles production and distribution. ⚙️ What this workflow does Reads new ideas from Google Sheets Generates story scripts using GPT-4 Creates cinematic videos using Veo 3.1 (fal.ai/veo3.1/reference-to-video) with 3 input reference images Uploads the final video automatically to Google Drive Publishes the video across multiple platforms (TikTok, Instagram, Facebook, X, LinkedIn, YouTube) via Blotato Updates Google Sheets with video URL and status (Completed / Failed) 🧩 Setup Required accounts: OpenAI → GPT-4 API key fal.ai → Veo 3.1 API key Google Cloud Console → Sheets & Drive connection Blotato → API key for social media publishing Configuration steps: Copy the Google Sheets structure: A: id_video B: niche C: idea D: url_1 E: url_2 F: url_3 G: url_final H: status Add your API keys to the Workflow Configuration node. Insert three image URLs and a short idea into your sheet. Wait for the automation to process and generate your video. 🧠 How to customize this workflow Change duration or aspect ratio** → Edit the Veo 3.1 node JSON body (duration, aspect_ratio) Modify prompt style** → Adjust the “Optimize Prompt for Veo” node for your desired tone or cinematic look Add more platforms** → Extend Blotato integration to publish on Pinterest, Reddit, or Threads Enable Telegram Trigger** → Allow users to submit ideas and images directly via Telegram 🚀 Expected Outcome Within 2–3 minutes, your idea is transformed into a full cinematic AI video — complete with storytelling, visuals, and automatic posting to your social media channels. Save hours of editing and focus on strategy, creativity, and growth. 👋 Need help or want to customize this? 📩 Contact: LinkedIn 📺 YouTube: @DRFIRASS 🚀 Workshops: Mes Ateliers n8n 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube / 🚀 Mes Ateliers n8n
by vinci-king-01
Competitor Price Monitoring Dashboard with AI and Real-time Alerts 🎯 Target Audience E-commerce managers and pricing analysts Retail business owners monitoring competitor pricing Marketing teams tracking market positioning Product managers analyzing competitive landscape Data analysts conducting pricing intelligence Business strategists making pricing decisions 🚀 Problem Statement Manual competitor price monitoring is inefficient and often leads to missed opportunities or delayed responses to market changes. This template solves the challenge of automatically tracking competitor prices, detecting significant changes, and providing actionable insights for strategic pricing decisions. 🔧 How it Works This workflow automatically monitors competitor product prices using AI-powered web scraping, analyzes price trends, and sends real-time alerts when significant changes are detected. Key Components Scheduled Trigger - Runs the workflow at specified intervals to maintain up-to-date price data AI-Powered Scraping - Uses ScrapeGraphAI to intelligently extract pricing information from competitor websites Price Analysis Engine - Processes historical data to detect trends and anomalies Alert System - Sends notifications via Slack and email when price changes exceed thresholds Dashboard Integration - Stores all data in Google Sheets for comprehensive analysis and reporting 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | timestamp | DateTime | When the price was recorded | "2024-01-15T10:30:00Z" | | competitor_name | String | Name of the competitor | "Amazon" | | product_name | String | Product name and model | "iPhone 15 Pro 128GB" | | current_price | Number | Current price in USD | 999.00 | | previous_price | Number | Previous recorded price | 1099.00 | | price_change | Number | Absolute price difference | -100.00 | | price_change_percent | Number | Percentage change | -9.09 | | product_url | URL | Direct link to product page | "https://amazon.com/iphone15" | | alert_triggered | Boolean | Whether alert was sent | true | | trend_direction | String | Price trend analysis | "Decreasing" | 🛠️ Setup Instructions Estimated setup time: 15-20 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Google Sheets account with API access Slack workspace for notifications (optional) Email service for alerts (optional) Step-by-Step Configuration 1. Install Community Nodes Install required community nodes npm install n8n-nodes-scrapegraphai npm install n8n-nodes-slack 2. Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working 3. Set up Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Create a new spreadsheet for price monitoring data Configure the sheet name (default: "Price Monitoring") 4. Configure Competitor URLs Update the websiteUrl parameters in ScrapeGraphAI nodes Add URLs for each competitor you want to monitor Customize the user prompt to extract specific pricing data Set appropriate price thresholds for alerts 5. Set up Notification Channels Configure Slack webhook or API credentials Set up email service credentials (SendGrid, SMTP, etc.) Define alert thresholds and notification preferences Test notification delivery 6. Configure Schedule Trigger Set monitoring frequency (hourly, daily, etc.) Choose appropriate time zones for your business hours Consider competitor website rate limits 7. Test and Validate Run the workflow manually to verify all connections Check Google Sheets for proper data formatting Test alert notifications with sample data 🔄 Workflow Customization Options Modify Monitoring Targets Add or remove competitor websites Change product categories or specific products Adjust monitoring frequency based on market volatility Extend Price Analysis Add more sophisticated trend analysis algorithms Implement price prediction models Include competitor inventory and availability tracking Customize Alert System Set different thresholds for different product categories Create tiered alert systems (info, warning, critical) Add SMS notifications for urgent price changes Output Customization Add data visualization and reporting features Implement price history charts and graphs Create executive dashboards with key metrics 📈 Use Cases Dynamic Pricing**: Adjust your prices based on competitor movements Market Intelligence**: Understand competitor pricing strategies Promotion Planning**: Time your promotions based on competitor actions Inventory Management**: Optimize stock levels based on market conditions Customer Communication**: Proactively inform customers about price changes 🚨 Important Notes Respect competitor websites' terms of service and robots.txt Implement appropriate delays between requests to avoid rate limiting Regularly review and update your monitoring parameters Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly Consider legal implications of automated price monitoring 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Google Sheets permission errors: Check OAuth2 scope and permissions Price parsing errors: Review the Code node's JavaScript logic Rate limiting: Adjust monitoring frequency and implement delays Alert delivery failures: Check notification service credentials Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations Slack API documentation for notification setup
by Yang
Who’s it for This template is perfect for content marketers, social media managers, and creators who want to repurpose YouTube videos into platform-specific posts without manual work. If you spend hours brainstorming captions, resizing content, or creating images for different platforms, this workflow automates the entire process from video selection to ready-to-publish posts. What it does The workflow takes a topic from a Google Sheet, finds the most relevant and recent YouTube video using Dumpling AI and GPT-4o, then automatically generates unique posts for Instagram, Facebook, and LinkedIn. Each post comes with a tailored AI-generated image, and all content is saved back into a Google Sheet for easy scheduling and review. Here’s what happens step by step: Picks an unsearched topic from Google Sheets Searches YouTube via Dumpling AI and sorts videos Uses GPT-4o to select the most relevant video Extracts the video transcript using Dumpling AI Generates three platform-specific posts using GPT-4o Creates matching images for each post using Dumpling AI image generation Saves the final Instagram, Facebook, and LinkedIn posts into a Google Sheet Marks the topic as processed so it won’t repeat How it works Scheduled Trigger: Starts the workflow automatically on a set schedule Google Sheets: Retrieves one unprocessed topic from the YouTube Topics sheet Dumpling AI: Finds and filters YouTube videos matching the topic GPT-4o: Chooses the best video and turns the transcript into three unique posts Dumpling AI (Image): Generates platform-specific visuals for each post Google Sheets: Saves all posts and images to the Social Media Post sheet for publishing Requirements ✅ Dumpling AI API key stored as credentials ✅ OpenAI GPT-4 credentials ✅ Google Sheets connection with the following sheets: YouTube Topics with columns Youtube Topics and Searched? Social Media Post with columns platform, Content, Image How to customize Adjust the GPT prompt to match your brand voice or content style Add or remove platforms depending on your posting strategy Change the schedule trigger frequency to fit your content calendar Integrate with scheduling tools like Buffer or Hootsuite for auto-publishing Add review or approval steps before posts are finalized > This workflow helps you transform a single YouTube video into three polished, platform-ready posts with matching visuals, in minutes—not hours.
by Omer Fayyaz
Automatically discover and extract article URLs from any website using AI to identify valid content links while filtering out navigation, category pages, and irrelevant content—perfect for building content pipelines, news aggregators, and research databases. What Makes This Different: AI-Powered Intelligence** - Uses GPT-5-mini to understand webpage context and identify actual articles vs navigation pages, eliminating false positives Browser Spoofing** - Includes realistic User-Agent headers and request patterns to avoid bot detection on publisher sites Smart URL Normalization* - Automatically strips tracking parameters (utm_, fbclid, etc.), removes duplicates, and standardizes URLs Source Categorization** - AI assigns logical source names based on domain and content type for easy filtering Rate Limiting Built-In** - Configurable delays between requests prevent IP blocking and respect website resources Deduplication on Save** - Google Sheets append-or-update pattern ensures no duplicate URLs in your database Key Benefits of AI-Powered Content Discovery: Save 10+ Hours Weekly** - Automate manual link hunting across dozens of publisher sites Higher Quality Results** - AI filters out 95%+ of junk links (nav pages, categories, footers) that rule-based scrapers miss Scale Effortlessly** - Add new seed URLs to your sheet and the same workflow handles any website structure Industry Agnostic** - Works for news, blogs, research papers, product pages—any content type Always Up-to-Date** - Schedule daily runs to catch new content as it's published Full Audit Trail** - Track discovered URLs with timestamps and sources in Google Sheets Who's it for This template is designed for content marketers, SEO professionals, researchers, media monitors, and anyone who needs to aggregate content from multiple sources. It's perfect for organizations that need to track competitor blogs, curate industry news, build research databases, monitor brand mentions, or aggregate content for newsletters without manually checking dozens of websites daily or writing complex scraping rules for each source. How it works / What it does This workflow creates an intelligent content discovery pipeline that automatically finds and extracts article URLs from any webpage. The system: Reads Seed URLs - Pulls a list of webpages to crawl from your Google Sheets (blog indexes, news feeds, publication homepages) Fetches with Stealth - Downloads each webpage's HTML using browser-like headers to avoid bot detection Converts for AI - Transforms messy HTML into clean Markdown that the AI can easily process AI Extraction - GPT-5-mini analyzes the content and identifies valid article URLs while filtering out navigation, categories, and junk links Normalizes & Saves - Cleans URLs (removes tracking params), deduplicates, and saves to Google Sheets with source tracking Key Innovation: Context-Aware Link Filtering - Unlike traditional scrapers that rely on CSS selectors or URL patterns (which break when sites update), the AI understands the semantic difference between an article link and a navigation link. It reads the page like a human would, identifying content worth following regardless of the website's structure. How to set up 1. Create Your Google Sheets Database Create a new Google Spreadsheet with two sheets: "Seed URLs" - Add column URL with webpages to crawl (blog homepages, news feeds, etc.) "Discovered URLs" - Add columns: URL, Source, Status, Discovered At Add 3-5 seed URLs to start (e.g., https://abc.com/, https://news.xyz.com/) 2. Connect Your Credentials Google Sheets**: Click the "Read Seed URLs" and "Save Discovered URLs" nodes → Select your Google Sheets account OpenAI**: Click the "OpenAI GPT-5-mini" node → Add your OpenAI API key Select your spreadsheet and sheet names in both Google Sheets nodes 3. Customize the AI Prompt (Optional) Open the "AI URL Extractor" node Modify the system message to add industry-specific rules: // Example: Add to system message for tech blogs For tech sites, also extract: Tutorial and guide URLs Product announcement pages Changelog and release notes Adjust source naming conventions to match your taxonomy 4. Test Your Configuration Click "Test Workflow" or use the Manual Trigger Check the execution to verify: Seed URLs are being read correctly HTML is fetched successfully (check for 200 status) AI returns valid JSON array of URLs URLs are saved to your output sheet Review the "Discovered URLs" sheet for results 5. Schedule and Monitor Adjust the Schedule Trigger (default: daily at 6 AM) Enable the workflow to run automatically Monitor execution logs for errors: Rate limiting: Increase wait time if sites block you Empty results: Check if seed URLs have changed structure AI errors: Review AI output in execution data Set up error notifications via email or Slack (add nodes after Completion Summary) Requirements Google Sheets Account** - OAuth2 connection for reading seed URLs and saving results OpenAI API Key** - For GPT-5-mini (or swap for any LangChain-compatible LLM)
by ConnectSafely
Send AI-personalized LinkedIn connection requests from Google Sheets using ConnectSafely.AI API Who's it for This workflow is built for sales professionals, recruiters, founders, and growth marketers who want to scale their LinkedIn outreach without sacrificing personalization. Perfect for anyone tired of sending generic connection requests that get ignored, or manually crafting individual messages for hundreds of prospects. If you're running ABM campaigns, building a sales pipeline, recruiting talent, or expanding your professional network, this automation handles the heavy lifting while keeping your outreach authentic and human. How it works The workflow automates personalized LinkedIn connection requests by combining Google Sheets prospect tracking with AI-powered message generation through ConnectSafely.ai's API. The process flow: Reads pending prospects from your Google Sheet Immediately marks them "IN PROGRESS" to prevent duplicate sends Fetches complete LinkedIn profile data via ConnectSafely.ai API Generates a personalized, authentic message using Google Gemini AI Sends the connection request with your custom message Updates your sheet with "DONE" status and stores the message sent Random delays between requests mimic human behavior and maintain LinkedIn compliance. Watch the complete step-by-step implementation guide: Setup steps Step 1: Prepare Your Google Sheet Structure your Google Sheet with the following columns: | Column Name | Description | Required | |------------|-------------|----------| | First Name | Contact's first name | Optional | | LinkedIn Url | LinkedIn profile URL or username | Yes | | Tagline | Contact's headline/title | Optional | | Status | Processing status (PENDING/IN PROGRESS/DONE) | Yes | | Message | Stores the AI-generated message sent | Yes | Sample Data Format: First Name: John LinkedIn Url: https://www.linkedin.com/in/johndoe Tagline: VP of Sales at TechCorp Status: PENDING Message: (left empty - will be filled by workflow) Pro Tip: Use LinkedIn Sales Navigator export or a prospecting tool to populate your sheet with qualified leads. Step 2: Configure ConnectSafely.ai API Credentials Obtain API Key Log into ConnectSafely.ai Dashboard Navigate to Settings → API Keys Generate a new API key Add Bearer Auth Credential in n8n Go to Credentials in n8n Click Add Credential → Header Auth or Bearer Auth Paste your ConnectSafely.ai API key Save the credential This credential is used by both the "Fetch LinkedIn Profile" and "Send Connection Request" HTTP nodes. Step 3: Configure Google Sheets Integration 3.1 Connect Google Sheets Account Go to Credentials → Add Credential → Google Sheets OAuth2 Follow the OAuth flow to connect your Google account Grant access to Google Sheets 3.2 Configure "Get Pending Prospect" Node Open the Get Pending Prospect node Select your Google Sheets credential Enter your Document ID (from the sheet URL) Select the Sheet Name Add a filter: Lookup Column: Status Lookup Value: PENDING Enable Return First Match Only under Options 3.3 Configure "Mark as In Progress" Node Open the Mark as In Progress node Select the same document and sheet Configure column mapping: Matching Column: row_number Status: IN PROGRESS 3.4 Configure "Mark as Complete" Node Open the Mark as Complete node Select the same document and sheet Configure column mapping: Matching Column: row_number Status: DONE Message: {{ $('Generate Personalized Message').item.json.message }} Step 4: Configure Google Gemini AI Get Gemini API Key Go to Google AI Studio Create or select a project Generate an API key Add Gemini Credential in n8n Go to Credentials → Add Credential → Google Gemini (PaLM) API Paste your API key Save the credential Connect to Google Gemini Node Open the Google Gemini node Select your Gemini credential Step 5: Customize the AI Prompt The Generate Personalized Message node contains the system prompt that controls how messages are written. Customize it for your personal brand: Open the Generate Personalized Message node Find the System Message in Options Replace the placeholder text: MY CONTEXT: [CUSTOMIZE THIS: Add your name, role, and what you're looking for in connections] With your actual information, for example: MY CONTEXT: I'm Sarah, founder of a B2B SaaS startup. I'm interested in connecting with other founders, VCs, and sales leaders to exchange ideas and explore potential partnerships. Update the sign-off instruction from "- [YOUR NAME]" to your actual name Step 6: Test the Workflow Add a test prospect to your Google Sheet with Status: PENDING Click the Manual Trigger (for testing) node Click Test Workflow Verify: Profile data is fetched correctly AI generates an appropriate message Connection request is sent Sheet updates to DONE with the message stored Customization Message Personalization Edit the system prompt in the Generate Personalized Message node to adjust: Tone**: Formal, casual, or industry-specific language Length**: Modify character limits (LinkedIn allows up to 300 characters) Focus**: Emphasize mutual connections, shared interests, or achievements Sign-off**: Change the signature format to match your brand Timing Adjustments Schedule Trigger: Currently set to run every minute. Adjust the interval in the **Run Every Minute node Random Delay: The **Random Delay (1-5 min) node adds 1-5 minutes of random wait time. Modify the formula {{ Math.floor(Math.random() * 4) + 1 }} to change the range Rate Limiting Best Practices Start with 10-20 connection requests per day Gradually increase over 2-3 weeks Never exceed 100 requests per day Consider pausing on weekends Use Cases Sales Prospecting**: Connect with decision-makers at target accounts with personalized outreach Recruiting**: Reach out to passive candidates with messages that reference their specific experience Founder Networking**: Build relationships with fellow entrepreneurs, investors, and advisors Event Follow-up**: Send personalized connection requests to conference attendees and speakers Partnership Development**: Connect with potential partners by referencing their company achievements Troubleshooting Common Issues & Solutions Issue: AI generating messages over 300 characters Solution**: Add explicit character count requirement in the system prompt; the current prompt specifies 200-250 characters Issue: "Profile not found" errors from ConnectSafely.ai Solution**: Ensure LinkedIn URLs are complete (include https://www.linkedin.com/in/) Issue: Generic-sounding AI messages Solution**: Enhance the system prompt with more specific context about your background and goals Issue: Duplicate connection requests sent Solution**: Verify "Mark as In Progress" node runs before "Fetch LinkedIn Profile"; check that row_number column exists in your sheet Issue: Google Sheets not updating Solution**: Confirm row_number column exists and the matching column is correctly configured Issue: Bearer Auth errors Solution**: Verify your ConnectSafely.ai API key is valid and has proper permissions Documentation & Resources Official Documentation ConnectSafely.ai Docs**: https://connectsafely.ai/docs API Reference**: Available in ConnectSafely.ai dashboard Google Gemini API**: https://ai.google.dev/docs Support Channels Email Support**: support@connectsafely.ai Documentation**: https://connectsafely.ai/docs Custom Workflows**: Contact us for custom automation Connect With Us Stay updated with the latest automation tips, LinkedIn strategies, and platform updates: LinkedIn**: linkedin.com/company/connectsafelyai YouTube**: youtube.com/@ConnectSafelyAI-v2x Instagram**: instagram.com/connectsafely.ai Facebook**: facebook.com/connectsafelyai X (Twitter)**: x.com/AiConnectsafely Bluesky**: connectsafelyai.bsky.social Mastodon**: mastodon.social/@connectsafely Need Custom Workflows? Looking to build sophisticated LinkedIn automation workflows tailored to your business needs? Contact our team for custom automation development, strategy consulting, and enterprise solutions. We specialize in: Multi-channel engagement workflows AI-powered personalization at scale Lead scoring and qualification automation CRM integration and data synchronization Custom reporting and analytics pipelines
by Yaron Been
Amplify Social Media Presence with O3 and GPT-4 Multi-Agent Team 🌍 Overview This n8n workflow acts like a virtual social media department. A Social Media Director Agent coordinates multiple specialized AI agents (Instagram, Twitter/X, Facebook, TikTok, YouTube, and Analytics). Each agent creates or analyzes content for its platform, powered by OpenAI models. The result? A fully automated, cross-platform social media strategy—from content creation to performance tracking. 🟢 Section 1: Trigger & Director Setup 🔗 Nodes: When chat message received (Trigger)** → Starts the workflow whenever you send a request (e.g., “Plan a TikTok campaign for my product launch”). Social Media Director Agent* (connected to *OpenAI O3 model**) → Acts as the strategist. Think Tool** → Helps the Director “reason” before delegating. 💡 Beginner takeaway: This section makes your workflow interactive. You send a request → the Director decides the best approach → then it assigns tasks. 📈 Advantage: Instead of manually planning content per platform, you only send one command, and the AI Director handles the strategy. 🟦 Section 2: Specialized Social Media Agents 🔗 Nodes (each paired with GPT-4.1-mini): 📸 Instagram Content Creator → Visual storytelling, Reels, Hashtags 🐦 Twitter/X Strategist → Viral tweets, trends, engagement 👥 Facebook Community Manager → Audience growth, ads, group engagement 🎵 TikTok Video Creator → Short-form video, viral trends 🎬 YouTube Content Planner → Long-form strategy, SEO, thumbnails 📊 Analytics Specialist → Performance insights, cross-platform reporting 💡 Beginner takeaway: Each platform has its own AI expert. They receive the Director’s strategy and produce tailored content for their platform. 📈 Advantage: Instead of one-size-fits-all posts, you get optimized content per platform—increasing reach and engagement. 🟣 Section 3: Models & Connections 🔗 Nodes: OpenAI Chat Models** (O3 + multiple GPT-4.1-mini models) Each model is connected to its respective agent. 💡 Beginner takeaway: Think of these as the “brains” behind each specialist. The Director uses O3 for advanced reasoning, while the specialists use GPT-4.1-mini (cheaper, faster) for content generation. 📈 Advantage: This keeps costs low while maintaining quality output. 📊 Final Overview Table | Section | Nodes | Purpose | Benefit | | --------------------- | -------------------------------------------------------- | -------------------------------------- | ------------------------------ | | 🟢 Trigger & Director | Chat Trigger, Director, Think Tool | Capture requests & plan strategy | One command → full social plan | | 🟦 Specialists | Instagram, Twitter, Facebook, TikTok, YouTube, Analytics | Platform-specific content | Optimized posts per platform | | 🟣 Models | O3 + GPT-4.1-mini | Provide reasoning & content generation | High-quality, cost-efficient | 🚀 Why This Workflow is Powerful Multi-platform coverage**: All major platforms handled in one flow Human-like strategy**: Director agent makes real marketing decisions Scalable & fast**: Generate a full campaign in minutes Cost-effective**: O3 only for strategy, GPT-4.1-mini for bulk content Beginner-friendly**: Just type your request → get full campaign output
by WeblineIndia
Automated Failed Login Detection with Jira Security Tasks, Slack Notifications Webhook: Failed Login Attempts → Jira Security Case → Slack Warnings This n8n workflow monitors failed login attempts from any application, normalizes incoming data, detects repeated attempts within a configurable time window and automatically: Sends detailed alerts to Slack, Creates Jira security tasks (single or grouped based on repetition), Logs all failed login attempts into a Notion database. It ensures fast, structured and automated responses to potential account compromise or brute-force attempts while maintaining persistent records. Quick Implementation Steps Import this JSON workflow into n8n. Connect your application to the failed-login webhook endpoint. Add Jira Cloud API credentials. Add Slack API credentials. Add Notion API credentials and configure the database for storing login attempts. Enable the workflow — done! What It Does Receives Failed Login Data Accepts POST requests containing failed login information. Normalizes the data, ensuring consistent fields: username, ip, timestamp and error. Validates Input Checks for missing username or IP. Sends a Slack alert if any required field is missing. Detects Multiple Attempts Uses a sliding time window (default: 5 minutes) to detect multiple failed login attempts from the same username + IP. Single attempts → standard Jira task + Slack notification. Multiple attempts → grouped Jira task + detailed Slack notification. Logs Attempts in Notion Records all failed login events into a Notion database with fields: Username, IP, Total Attempts, Attempt List, Attempt Type. Formats Slack Alerts Single attempt → lightweight notification. Multiple attempts → summary including timestamps, errors, total attempts, and Jira ticket link. Who’s It For This workflow is ideal for: Security teams monitoring authentication logs. DevOps/SRE teams maintaining infrastructure access logs. SaaS platform teams with high login traffic. Organizations aiming to automate breach detection. Teams using Jira + Slack + Notion + n8n for incident workflows. Requirements n8n (Self-Hosted or Cloud). Your application must POST failed login data to the webhook. Jira Software Cloud credentials (Email, API Token, Domain). Slack Bot Token with message-posting permissions. Notion API credentials with access to a database. Basic understanding of your login event sources. How It Works Webhook Trigger: Workflow starts when a failed-login event is sent to the failed-login webhook. Normalization: Converts single objects or arrays into a uniform format. Ensures username, IP, timestamp and error are present. Prepares a logMessage for Slack and Jira nodes. Validation: IF node checks whether username and IP exist. If missing → Slack alert for missing information. Multiple Attempt Detection: Function node detects repeated login attempts within a 5-minute sliding window. Flags attempts as multiple: true or false. Branching: Multiple attempts → build summary, create Jira ticket, format Slack message, store in Notion. Single attempts → create Jira ticket, format Slack message, store in Notion. Slack Alerts: Single attempt → concise message Multiple attempts → detailed summary with timestamps and Jira ticket link Notion Logging: Stores username, IP, total attempts, attempt list, attempt type in a dedicated database for recordkeeping. How To Set Up Import Workflow → Workflows → Import from File in n8n. Webhook Setup → copy the URL from Faield Login Trigger node and integrate with your application. Jira Credentials → connect your Jira account to both Jira nodes and configure project/issue type. Slack Credentials → connect your Slack Bot and select the alert channel. Notion Credentials → connect your Notion account and select the database for storing login attempts. Test the Workflow → send sample events: missing fields, single attempts, multiple attempts. Enable Workflow → turn on workflow once testing passes. Logic Overview | Step Node | Description | |---------------------------------|-----------------------------------------------| | Normalize input | Normalize Login Event — Ensures each event has required fields and prepares a logMessage. | | Validate fields | Check Username & IP present — IF node → alerts Slack if data is incomplete. | | Detect repeats | Detect Multiple Attempts — Finds multiple attempts within a 5-minute window; sets multiple flag. | | Multiple attempts | IF - Multiple Attempts + Build Multi-Attempt Summary — Prepares grouped summary for Slack & Jira. | | Single attempt | Create Ticket - Single Attempt — Creates Jira task & Slack alert for one-off events. | | Multiple attempt ticket | Create Ticket - Multiple Attempts — Creates detailed Jira task. | | Slack alert formatting | Format Fields For Single/Multiple Attempt — Prepares structured message for Slack. | | Slack alert delivery | Slack Alert - Single/Multiple Attempts — Posts alert in selected Slack channel. | | Notion logging | Login Attempts Data Store in DB — Stores structured attempt data in Notion database. | Customization Options Webhook Node** → adjust endpoint path for your application. Normalization Function** → add fields such as device, OS, location or user-agent. Multiple Attempt Logic** → change the sliding window duration or repetition threshold. Jira Nodes** → modify issue type, labels or project. Slack Nodes** → adjust markdown formatting, channel routing or severity-based channels. Notion Node** → add or modify database fields to store additional context. Optional Enhancements: Geo-IP lookup for country/city info. Automatic IP blocking via firewall or WAF. User notification for suspicious login attempts. Database logging in MySQL/Postgres/MongoDB. Threat intelligence enrichment (e.g., AbuseIPDB). Use Case Examples Detect brute-force attacks targeting user accounts. Identify credential stuffing across multiple users. Monitor admin portal access failures with Jira task creation. Alert security teams instantly when login attempts originate from unusual locations. Centralize failed login monitoring across multiple applications with Notion logging. Troubleshooting Guide | Issue | Possible Cause | Solution | |-------------------------------|---------------------------------------------------|-------------------------------------------------------------| | Workflow not receiving data | Webhook misconfigured | Verify webhook URL & POST payload format | | Jira ticket creation fails | Invalid credentials or insufficient permissions | Update Jira API token and project access | | Slack alert not sent | Incorrect channel ID or missing bot scopes | Fix Slack credentials and permissions | | Multiple attempts not detected| Sliding window logic misaligned | Adjust Detect Multiple Attempts node code | | Notion logging fails | Incorrect database ID or missing credentials | Update Notion node credentials and database configuration | | Errors in normalization | Payload format mismatch | Update Normalize Login Event function code | Need Help? If you need help setting up, customizing or extending this workflow, WeblineIndia can assist with full n8n development, workflow automation, security event processing and custom integrations.
by Shayan Ali Bakhsh
About this Workflow This workflow helps you repurpose your YouTube videos across multiple social media platforms with zero manual effort. It’s designed for creators, businesses, and marketers who want to maximize reach without spending hours re-uploading content everywhere. How It Works Trigger from YouTube The workflow checks your YouTube channel every 10 minutes via RSS feed. It compares the latest video ID with the last saved one to detect if a new video was uploaded. Tutorial: How to get YouTube Channel RSS Feed Generate Descriptions with AI Uses Gemini 2.5 Flash to automatically generate fresh, engaging descriptions for your posts. Create Images with ContentDrips ContentDrips offers multiple templates (carousel, single image, branding templates, etc.). The workflow generates a custom promotional image using your video description and thumbnail. Install node: npm install n8n-nodes-contentdrips Docs: ContentDrips Blog Tutorial Publish Across Social Platforms with SocialBu Instead of manually connecting each social media API, this workflow uses SocialBu. From a single connection, you can post to: Facebook, Instagram, TikTok, YouTube, Twitter (X), LinkedIn, Threads, Pinterest, and more. Website: SocialBu Get Real-Time Notifications via Discord After each run, the workflow sends updates to your Discord channel. You’ll know if the upload was successful, or if an error occurred (e.g., API limits). Setup guide: Discord OAuth Credentials Why Use This Workflow? Saves time by automating the entire repurposing process. Ensures consistent branding and visuals across platforms. Works around platform restrictions by leveraging SocialBu’s integrations. Keeps you updated with Discord notifications—no guessing if something failed. Requirements YouTube channel RSS feed link ContentDrips API key, template ID, and branding setup SocialBu account with connected social media platforms Discord credentials (for webhook updates) Need Help? Message me on LinkedIn: Shayan Ali Bakhsh Happy Automation 🚀
by PhilanthropEAK Automation
Who's it for Marketing teams, social media managers, content creators, and small businesses looking to maintain consistent social media presence across multiple platforms. Perfect for organizations that want to automate content creation while maintaining quality and brand consistency. How it works This workflow creates a complete social media automation system that generates platform-specific content using AI and schedules posts across Twitter, LinkedIn, and Instagram based on your content calendar in Google Sheets. The system runs daily at 9 AM, reading your content calendar to identify scheduled topics for the day. It uses OpenAI's GPT-4 to generate platform-optimized content that follows each platform's best practices - concise engaging posts for Twitter, professional thought leadership for LinkedIn, and visual storytelling for Instagram. DALL-E creates accompanying images that match your brand style and topic themes. Each piece of content is automatically formatted for optimal engagement, including appropriate hashtags, character limits, and platform-specific calls-to-action. The workflow then schedules posts through Buffer's API at optimal times and updates your spreadsheet with posting status, content previews, and generated image URLs for tracking and approval workflows. How to set up Prerequisites: Google account with Sheets access OpenAI API key with GPT-4 and DALL-E access Buffer account with connected social media profiles Slack workspace (optional for notifications) Setup steps: Create your content calendar: Copy the provided Google Sheets template Set up columns: Date, Topic, Platforms, Content Type, Keywords, Status, Generated Content, Image URL Fill in your content schedule with topics and target platforms Configure credentials in n8n: Add OpenAI API credential with your API key Set up Google Sheets OAuth2 for spreadsheet access Add Buffer API token from your Buffer dashboard Add Slack API credential for success notifications (optional) Update Configuration Variables: Set your Google Sheet ID from the spreadsheet URL Define your brand voice and company messaging Specify target audience for content personalization Set image style preferences for consistent visuals Configure Buffer integration: Connect your social media accounts to Buffer Get profile IDs for Twitter, LinkedIn, and Instagram Update the Schedule Post node with your specific profile IDs Set optimal posting times in Buffer settings Test the workflow: Add test content to tomorrow's date in your calendar Run the workflow manually to verify content generation Check that posts appear in Buffer's queue correctly Verify spreadsheet updates and Slack notifications work Requirements Google Sheets with template structure and editing permissions OpenAI API key with GPT-4 and DALL-E access (estimated cost: $0.10-0.30 per day for content generation) Buffer account (free plan supports up to 3 social accounts, paid plans for more) Social media accounts connected through Buffer (Twitter, LinkedIn, Instagram) n8n instance (cloud subscription or self-hosted) How to customize the workflow Adjust content generation: Modify AI prompts in the OpenAI node to match your industry tone and style Add custom content types (promotional, educational, behind-the-scenes, user-generated) Include seasonal or event-based content variations in your prompts Customize hashtag strategies per platform and content type Enhance scheduling logic: Add time zone considerations for global audiences Implement different posting schedules for weekdays vs weekends Create urgency-based posting for time-sensitive content Add approval workflows before scheduling sensitive content Expand platform support: Add Facebook, TikTok, or YouTube Shorts using their respective APIs Integrate with Hootsuite or Later as alternative scheduling platforms Include Pinterest for visual content with optimized descriptions Add LinkedIn Company Page posting alongside personal profiles Improve content intelligence: Integrate trending hashtag research using social media APIs Add competitor content analysis for inspiration and differentiation Include sentiment analysis to adjust tone based on current events Implement A/B testing for different content variations Advanced automation features: Add engagement monitoring and response workflows Create monthly performance reports sent via email Implement content recycling for evergreen topics Build user-generated content curation from brand mentions Add crisis communication protocols for sensitive topics Integration enhancements: Connect with your CRM to include customer success stories Link to email marketing for cross-channel content consistency Integrate with project management tools for campaign coordination Add analytics dashboards for content performance tracking
by vinci-king-01
Customer Support Analysis Dashboard with AI and Automated Insights 🎯 Target Audience Customer support managers and team leads Customer success teams monitoring satisfaction Product managers analyzing user feedback Business analysts measuring support metrics Operations managers optimizing support processes Quality assurance teams monitoring support quality Customer experience (CX) professionals 🚀 Problem Statement Manual analysis of customer support tickets and feedback is time-consuming and often misses critical patterns or emerging issues. This template solves the challenge of automatically collecting, analyzing, and visualizing customer support data to identify trends, improve response times, and enhance overall customer satisfaction. 🔧 How it Works This workflow automatically monitors customer support channels using AI-powered analysis, processes tickets and feedback, and provides actionable insights for improving customer support operations. Key Components Scheduled Trigger - Runs the workflow at specified intervals to maintain real-time monitoring AI-Powered Ticket Analysis - Uses advanced NLP to categorize, prioritize, and analyze support tickets Multi-Channel Integration - Monitors email, chat, help desk systems, and social media Automated Insights - Generates reports on trends, response times, and satisfaction scores Dashboard Integration - Stores all data in Google Sheets for comprehensive analysis and reporting 📊 Google Sheets Column Specifications The template creates the following columns in your Google Sheets: | Column | Data Type | Description | Example | |--------|-----------|-------------|---------| | timestamp | DateTime | When the ticket was processed | "2024-01-15T10:30:00Z" | | ticket_id | String | Unique ticket identifier | "SUP-2024-001234" | | customer_email | String | Customer contact information | "john@example.com" | | subject | String | Ticket subject line | "Login issues with new app" | | description | String | Full ticket description | "I can't log into the mobile app..." | | category | String | AI-categorized ticket type | "Technical Issue" | | priority | String | Calculated priority level | "High" | | sentiment_score | Number | Customer sentiment (-1 to 1) | -0.3 | | urgency_indicator | String | Urgency classification | "Immediate" | | response_time | Number | Time to first response (hours) | 2.5 | | resolution_time | Number | Time to resolution (hours) | 8.0 | | satisfaction_score | Number | Customer satisfaction rating | 4.2 | | agent_assigned | String | Support agent name | "Sarah Johnson" | | status | String | Current ticket status | "Resolved" | 🛠️ Setup Instructions Estimated setup time: 20-25 minutes Prerequisites n8n instance with community nodes enabled ScrapeGraphAI API account and credentials Google Sheets account with API access Help desk system API access (Zendesk, Freshdesk, etc.) Email service integration (optional) Step-by-Step Configuration 1. Install Community Nodes Install required community nodes npm install n8n-nodes-scrapegraphai npm install n8n-nodes-slack 2. Configure ScrapeGraphAI Credentials Navigate to Credentials in your n8n instance Add new ScrapeGraphAI API credentials Enter your API key from ScrapeGraphAI dashboard Test the connection to ensure it's working 3. Set up Google Sheets Connection Add Google Sheets OAuth2 credentials Grant necessary permissions for spreadsheet access Create a new spreadsheet for customer support analysis Configure the sheet name (default: "Support Analysis") 4. Configure Support System Integration Update the websiteUrl parameters in ScrapeGraphAI nodes Add URLs for your help desk system or support portal Customize the user prompt to extract specific ticket data Set up categories and priority thresholds 5. Set up Notification Channels Configure Slack webhook or API credentials for alerts Set up email service credentials for critical issues Define alert thresholds for different priority levels Test notification delivery 6. Configure Schedule Trigger Set analysis frequency (hourly, daily, etc.) Choose appropriate time zones for your business hours Consider support system rate limits 7. Test and Validate Run the workflow manually to verify all connections Check Google Sheets for proper data formatting Test ticket analysis with sample data 🔄 Workflow Customization Options Modify Analysis Targets Add or remove support channels (email, chat, social media) Change ticket categories and priority criteria Adjust analysis frequency based on ticket volume Extend Analysis Capabilities Add more sophisticated sentiment analysis Implement customer churn prediction models Include agent performance analytics Add automated response suggestions Customize Alert System Set different thresholds for different ticket types Create tiered alert systems (info, warning, critical) Add SLA breach notifications Include trend analysis alerts Output Customization Add data visualization and reporting features Implement support trend charts and graphs Create executive dashboards with key metrics Add customer satisfaction trend analysis 📈 Use Cases Support Ticket Management**: Automatically categorize and prioritize tickets Response Time Optimization**: Identify bottlenecks in support processes Customer Satisfaction Monitoring**: Track and improve satisfaction scores Agent Performance Analysis**: Monitor and improve agent productivity Product Issue Detection**: Identify recurring problems and feature requests SLA Compliance**: Ensure support teams meet service level agreements 🚨 Important Notes Respect support system API rate limits and terms of service Implement appropriate delays between requests to avoid rate limiting Regularly review and update your analysis parameters Monitor API usage to manage costs effectively Keep your credentials secure and rotate them regularly Consider data privacy and GDPR compliance for customer data 🔧 Troubleshooting Common Issues: ScrapeGraphAI connection errors: Verify API key and account status Google Sheets permission errors: Check OAuth2 scope and permissions Ticket parsing errors: Review the Code node's JavaScript logic Rate limiting: Adjust analysis frequency and implement delays Alert delivery failures: Check notification service credentials Support Resources: ScrapeGraphAI documentation and API reference n8n community forums for workflow assistance Google Sheets API documentation for advanced configurations Help desk system API documentation Customer support analytics best practices