Workflow Templates

Property Listing Aggregator with Mailchimp and Notion ⚠️ COMMUNITY TEMPLATE DISCLAIMER: This is a community-contributed template that uses ScrapeGraphAI (a community node). Please ensure you have the ScrapeGraphAI community node installed in your n8n instance before using this template. This workflow scrapes multiple commercial-real-estate websites, consolidates new property listings into Notion, and emails weekly availability updates or immediate space alerts to a Mailchimp audience. It automates the end-to-end process so business owners can stay on top of the latest spaces without manual searching. Pre-conditions/Requirements Prerequisites n8n instance (self-hosted or n8n.cloud) ScrapeGraphAI community node installed Active Notion workspace with permission to create/read databases Mailchimp account with at least one Audience list Basic understanding of JSON; ability to add API credentials in n8n Required Credentials ScrapeGraphAI API Key** – Enables web scraping functionality Notion OAuth2 / Integration Token** – Writes data into Notion database Mailchimp API Key** – Sends campaigns and individual emails (Optional) Proxy credentials – If target real-estate sites block your IP Specific Setup Requirements | Resource | Requirement | Example | |----------|-------------|---------| | Notion | Database with property fields (Address, Price, SqFt, URL, Availability) | Database ID: abcd1234efgh | | Mailchimp | Audience list where alerts are sent | Audience ID: f3a2b6c7d8 | | ScrapeGraphAI | YAML/JSON config per site | Stored inside the ScrapeGraphAI node | How it works This workflow scrapes multiple commercial-real-estate websites, consolidates new property listings into Notion, and emails weekly availability updates or immediate space alerts to a Mailchimp audience. It automates the end-to-end process so business owners can stay on top of the latest spaces without manual searching. Key Steps: Manual Trigger / CRON**: Starts the workflow weekly or on-demand. Code (Site List Builder)**: Generates an array of target URLs for ScrapeGraphAI. Split In Batches**: Processes URLs in manageable groups to avoid rate limits. ScrapeGraphAI**: Extracts property details from each site. IF (New vs Existing)**: Checks whether the listing already exists in Notion. Notion**: Inserts new listings or updates existing records. Set**: Formats email content (HTML & plaintext). Mailchimp**: Sends a campaign or automated alert to subscribers. Sticky Notes**: Provide documentation and future-enhancement pointers. Set up steps Setup Time: 15-25 minutes Install Community Node Navigate to Settings → Community Nodes and install “ScrapeGraphAI”. Create Notion Integration Go to Notion Settings → Integrations → Develop your own integration. Copy the integration token and share your target database with the integration. Add Mailchimp API Key In Mailchimp: Account → Extras → API keys. Copy an existing key or create a new one, then add it to n8n credentials. Build Scrape Config In the ScrapeGraphAI node, paste a YAML/JSON selector config for each website (address, price, sqft, url, availability). Configure the URL List Open the first Code node. Replace the placeholder array with your target listing URLs. Map Notion Fields Open the Notion node and map scraped fields to your database properties. Save. Design Email Template In the Set node, tweak the HTML and plaintext blocks to match your brand. Test the Workflow Trigger manually, check that Notion rows are created and Mailchimp sends the message. Schedule Add a CRON node (weekly) or leave the Manual Trigger for ad-hoc runs. Node Descriptions Core Workflow Nodes: Manual Trigger / CRON** – Kicks off the workflow either on demand or on a schedule. Code (Site List Builder)** – Holds an array of commercial real-estate URLs and outputs one item per URL. Split In Batches** – Prevents hitting anti-bot limits by processing URLs in groups (default: 5). ScrapeGraphAI** – Crawls each URL, parses DOM with CSS/XPath selectors, returns structured JSON. IF (New Listing?)** – Compares scraped listing IDs against existing Notion database rows. Notion** – Creates or updates pages representing property listings. Set (Email Composer)** – Builds dynamic email subject, body, and merge tags for Mailchimp. Mailchimp* – Uses the *Send Campaign endpoint to email your audience. Sticky Note** – Contains inline documentation and customization reminders. Data Flow: Manual Trigger/CRON → Code (URLs) → Split In Batches → ScrapeGraphAI → IF (New?) True path → Notion (Create) → Set (Email) → Mailchimp False path → (skip) Customization Examples Filter Listings by Maximum Budget // Inside the IF node (custom expression) {{$json["price"] <= 3500}} Change Email Frequency to Daily Digests { "nodes": [ { "name": "Daily CRON", "type": "n8n-nodes-base.cron", "parameters": { "triggerTimes": [ { "hour": 8, "minute": 0 } ] } } ] } Data Output Format The workflow outputs structured JSON data: { "address": "123 Market St, Suite 400", "price": 3200, "sqft": 950, "url": "https://examplebroker.com/listing/123", "availability": "Immediate", "new": true } Troubleshooting Common Issues Scraper returns empty objects – Verify selectors in ScrapeGraphAI config; inspect the site’s HTML for changes. Duplicate entries in Notion – Ensure the “IF” node checks a unique ID (e.g., listing URL) before creating a page. Performance Tips Reduce batch size or add delays in ScrapeGraphAI to avoid site blocking. Cache previously scraped URLs in an external file or database for faster runs. Pro Tips: Rotate proxies in ScrapeGraphAI for heavily protected sites. Use Notion rollups to calculate total available square footage automatically. Leverage Mailchimp merge tags (|FNAME|) in the Set node for personalized alerts.

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works • Publishes content to 9 social platforms (Instagram, YouTube, TikTok, Facebook, LinkedIn, Threads, Twitter/X, Bluesky, Pinterest) from a single Airtable base • Automatically uploads media to Blotato, handles platform-specific requirements (YouTube titles, Pinterest boards), and tracks success/failure for each post • Includes smart features like GPT-powered YouTube title optimization, Pinterest Board ID finder tool, and random delays to avoid rate limits Set up steps • Takes ~20–35 minutes to configure all 9 platforms (or less if you only need specific ones) • Requires Airtable personal access token, Blotato API key, and connecting your social accounts in Blotato dashboard • Workflow includes comprehensive sticky notes with step-by-step Airtable base setup, credential configuration, platform ID locations, and quick debugging links for each social network Pro tip: The workflow is modular - you can disable any platforms you don't use by deactivating their respective nodes, making it flexible for any social media strategy from single-platform to full omnichannel publishing.

IPA Size Tracker with Trend Alerts – Automated iOS Apps Size Monitoring This workflow runs on a daily schedule and monitors IPA file sizes from configured URLs. It stores historical size data in Google Sheets, compares current vs. previous builds and sends email alerts only when significant size changes occur (default: ±10%). A DRY_RUN toggle allows safe testing before real notifications go out. Who’s it for iOS developers tracking app binary size growth over time. DevOps teams monitoring build artifacts and deployment sizes. Product managers ensuring app size budgets remain acceptable. QA teams detecting unexpected size changes in release builds. Mobile app teams optimizing user experience by keeping apps lightweight. How it works Schedule Trigger (daily at 09:00 UTC) kicks off the workflow. Configuration: Define monitored apps with {name, version, build, ipa_url}. HTTP Request downloads the IPA file from its URL. Size Calculation: Compute file sizes in bytes, KB, MB and attach timestamp metadata. Google Sheets: Append size data to the IPA Size History sheet. Trend Analysis: Compare current vs. previous build sizes. Alert Logic: Evaluate thresholds (>10% increase or >10% decrease). Email Notification: Send formatted alerts with comparisons and trend indicators. Rate Limit: Space out notifications to avoid spamming recipients. How to set up 1. Spreadsheet Create a Google Sheet with a tab named IPA Size History containing: Date, Timestamp, App_Name, Version, Build_Number, Size_Bytes, Size_KB, Size_MB, IPA_URL 2. Credentials Google Sheets (OAuth)** → for reading/writing size history. Gmail** → for sending alert emails (use App Password if 2FA is enabled). 3. Open “Set: Configuration” node Define your workflow variables: APP_CONFIGS = array of monitored apps ({name, version, build, ipa_url}) SPREADSHEET_ID = Google Sheet ID SHEET_NAME = IPA Size History SMTP_FROM = sender email (e.g., devops@company.com) ALERT_RECIPIENTS = comma-separated emails SIZE_INCREASE_THRESHOLD = 0.10 (10%) SIZE_DECREASE_THRESHOLD = 0.10 (10%) LARGE_APP_WARNING = 300 (MB) SCHEDULE_TIME = 09:00 TIMEZONE = UTC DRY_RUN = false (set true to test without sending emails) 4. File Hosting Host IPA files on Google Drive, Dropbox or a web server. Ensure direct download URLs are used (not preview links). 5. Activate the workflow Once configured, it will run automatically at the scheduled time. Requirements Google Sheet with the IPA Size History tab. Accessible IPA file URLs. SMTP / gmail account (Gmail recommended). n8n (cloud or self-hosted) with Google Sheets + Email nodes. Sufficient local storage for IPA file downloads. How to customize the workflow Multiple apps**: Add more configs to APP_CONFIGS. Thresholds**: Adjust SIZE_INCREASE_THRESHOLD / SIZE_DECREASE_THRESHOLD. Notification templates**: Customize subject/body with variables: {{app_name}}, {{current_size}}, {{previous_size}}, {{change_percent}}, {{trend_status}}. Schedule**: Change Cron from daily to hourly, weekly, etc. Large app warnings**: Adjust LARGE_APP_WARNING. Trend analysis**: Extend beyond one build (7-day, 30-day averages). Storage backend**: Swap Google Sheets for CSV, DB or S3. Add-ons to level up Slack Notifications**: Add Slack webhook alerts with emojis & formatting. Size History Charts**: Generate trend graphs with Chart.js or Google Charts API. Environment separation**: Monitor dev/staging/prod builds separately. Regression detection**: Statistical anomaly checks. Build metadata**: Log bundle ID, SDK versions, architectures. Archive management**: Auto-clean old records to save space. Dashboards**: Connect to Grafana, DataDog or custom BI. CI/CD triggers**: Integrate with pipelines via webhook trigger. Common Troubleshooting No size data** → check URLs return binary IPA (not HTML error). Download failures** → confirm hosting permissions & direct links. Missing alerts** → ensure thresholds & prior history exist. Google Sheets errors** → check sheet/tab names & OAuth credentials. Email issues** → validate SMTP credentials, spam folder, sender reputation. Large file timeouts** → raise HTTP timeout for >100MB files. Trend errors** → make sure at least 2 builds exist. No runs** → confirm workflow is active and timezone is correct. Need Help? If you’d like this to customize this workflow to suit your app development process, then simply reach out to us here and we’ll help you customize the template to your exact use case.

Convert Viral Videos into AI Avatar Swaps and Publish on TikTok with Blotato Who is this for? This workflow is designed for content creators, agencies, influencers, and automation builders who want to transform viral videos into personalized avatar-based edits — and automatically publish them on TikTok (and other platforms) without manual editing or video software. What problem is this workflow solving? Replacing a character in a video, transforming the voice, merging audio/video, and publishing to social networks typically requires multiple tools, editing skills, and a lot of time. This workflow automates the entire pipeline end-to-end: No manual video editing No audio processing No API debugging No uploading/publishing hassles It’s a full AI-powered transformation system that produces ready-to-post content in minutes. What this workflow does This workflow receives an avatar image + a viral video URL and automatically: Extracts the audio using Replicate Replaces the character in the video using FAL WAN Replace Transforms the voice using FAL Chatterbox Speech-to-Speech Merges the new video and audio using FAL FFmpeg Saves results to Google Sheets for tracking Publishes the final video to TikTok via Blotato (and optionally to Instagram, Facebook, LinkedIn, X, and YouTube) Sends a confirmation message when publishing is complete Everything runs automatically, in parallel, for maximum speed. Setup Telegram Bot Add your Telegram Bot credentials in the Telegram Trigger node. Send an avatar photo + video URL in one message (URL in the caption). Workflow Configuration Add your FAL API key Add your Replicate API key Add your targetVoiceAudioUrl (this is the voice the output will use) Google Sheets Connect your Google Sheets OAuth credentials Select your sheet and ensure columns exist (e.g. original URL, output URL) Blotato Publishing Install community node @blotato/n8n-nodes-blotato Connect your Blotato API credentials Select the TikTok account (and optional other accounts) Test the workflow Send a Telegram message with: A photo (avatar) Video URL in the caption The workflow will process everything automatically. How to customize this workflow to your needs Change platforms**: remove or add publishing outputs (TikTok, Instagram, LinkedIn, Facebook, YouTube, X). Change voice style**: update the targetVoiceAudioUrl in the Workflow Configuration node. Use your own avatar**: send any image in Telegram — the workflow automatically makes it public and ready for AI processing. Adjust video logic**: swap FAL models, update merg 👋 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

Discord AI Content Moderator with Learning System This n8n template demonstrates how to automatically moderate Discord messages using AI-powered content analysis that learns from your community standards. It continuously monitors your server, intelligently flags problematic content while allowing context-appropriate language, and provides a complete audit trail for all moderation actions. Use cases are many: Try moderating a forex trading community where enthusiasm runs high, protecting a gaming server from toxic behavior while keeping banter alive, or maintaining professional standards in a business Discord without being overly strict! Good to know This workflow uses OpenAI's GPT-5 Mini model which incurs API costs per message analyzed (approximately $0.001-0.003 per moderation check depending on message volume) The workflow runs every minute by default - adjust the Schedule Trigger interval based on your server activity and budget Discord API rate limits apply - the batch processor includes 1.5-second delays between deletions to prevent rate limiting You'll need a Google Sheet to store training examples - a template link is provided in the workflow notes The AI analyzes context and intent, not just keywords - "I *cking love this community" won't be deleted, but "you guys are sht" will be Deleted messages cannot be recovered from Discord - the admin notification channel preserves the content for review How it works The Schedule Trigger activates every minute to check for new messages requiring moderation We'll fetch training data from Google Sheets containing labeled examples of messages to delete (with reasons) and messages to keep The workflow retrieves the last 10 messages from your specified Discord channel using the Discord API A preparation node formats both the training examples and recent messages into a structured prompt with unique indices for each message The AI Agent (powered by GPT-5 Mini) analyzes each message against your community standards, considering intent and context rather than just keywords The AI returns a JSON array of message indices that violate guidelines (e.g., [0, 2, 5]) A parsing node extracts these indices, validates them, removes duplicates, and maps them to actual Discord message objects The batch processor loops through each flagged message one at a time to prevent API rate limiting and ensure proper error handling Each message is deleted from Discord using the exact message ID A 1.5-second wait prevents hitting Discord's rate limits between operations Finally, an admin notification is posted to your designated admin channel with the deleted message's author, ID, and original content for audit purposes How to use Replace the Discord Server ID, Moderated Channel ID, and Admin Channel ID in the "Edit Fields" node with your server's specific IDs Create a copy of the provided Google Sheets template with columns: message_content, should_delete (YES/NO), and reason Connect your Discord OAuth2 credentials (requires bot permissions for reading messages, deleting messages, and posting to channels) Add your OpenAI API key to access GPT-5 Mini Customize the AI Agent's system message to reflect your specific community standards and tone Adjust the message fetch limit (default: 10) based on your server activity - higher limits cost more per run but catch more violations Consider changing the Schedule Trigger from every minute to every 3-5 minutes if you have a smaller community Requirements Discord OAuth2 credentials for bot authentication with message read, delete, and send permissions Google Sheets API connection for accessing the training data knowledge base OpenAI API key for GPT-5 Mini model access A Google Sheet formatted with message examples, deletion labels, and reasoning Discord Server ID, Channel IDs (moderated + admin) which you can get by enabling Developer Mode in Discord Customising this workflow Try building an emoji-based feedback system where admins can react to notifications with ✅ (correct deletion) or ❌ (wrong deletion) to automatically update your training data Add a severity scoring system that issues warnings for minor violations before deleting messages Implement a user strike system that tracks repeat offenders and automatically applies temporary mutes or bans Expand the AI prompt to categorize violations (spam, harassment, profanity, etc.) and route different types to different admin channels Create a weekly digest that summarizes moderation statistics and trending violation types Add support for monitoring multiple channels by duplicating the Discord message fetch nodes with different channel IDs Integrate with a database instead of Google Sheets for faster lookups and more sophisticated training data management If you have questions Feel free to contact me here: elijahmamuri@gmail.com elijahfxtrading@gmail.com

Transform chaotic training requests into strategic skill development - achieving 100% completion tracking, 30% cost reduction through intelligent planning, and data-driven L&D decisions. What This Workflow Does Revolutionizes corporate training management with AI-driven course recommendations and automated approval workflows: 📝 Training Request Capture - Jotform collects skill gaps, business justification, and training needs 💰 Budget Intelligence - Real-time department budget checking and utilization tracking 🤖 AI Course Recommendations - Matches requests to training catalog with 0-100% scoring 📊 ROI Analysis - AI assesses business impact, urgency, and return on investment ✅ Smart Approval Routing - Auto-approves within budget or routes to manager with AI insights 🎯 Skill Development Paths - Creates personalized learning journeys from current to desired levels 👥 Team Impact Assessment - Identifies knowledge sharing opportunities and additional attendees ⚠️ Risk Analysis - Evaluates delays risks and over-investment concerns 📧 Automated Notifications - Sends detailed approvals to managers and confirmations to employees 📈 Complete Tracking - Logs all requests with AI insights for L&D analytics Key Features AI Training Advisor: GPT-4 analyzes requests across 10+ dimensions including needs assessment, ROI, and implementation planning Course Catalog Matching: AI scores courses 0-100% based on skill level, topic relevance, and outcomes alignment Budget Management: Real-time tracking of department budgets with utilization percentages Preventability Scoring: Identifies skill gaps that could have been addressed earlier Alternative Options: AI suggests cost-effective alternatives (online courses, mentoring, job shadowing) Skill Development Pathways: Maps progression from current to desired skill level with timeframes Team Multiplier Effect: Identifies how training one person benefits entire team Manager Guidance: Provides key considerations, questions to ask, and approval criteria Implementation Planning: Suggests timeline, preparation needed, and post-training actions Success Metrics: Defines measurable outcomes for training effectiveness Risk Assessment: Flags delay risks and over-investment concerns Cost Optimization: Recommends ways to reduce costs while maintaining quality Perfect For Growing Tech Companies: 50-500 employees with high skill development needs Enterprise Organizations: Large corporations managing 1000+ training requests annually Professional Services: Consulting, legal, accounting firms requiring continuous upskilling Healthcare Systems: Medical organizations with compliance and clinical training requirements Manufacturing Companies: Technical skills training for operations and quality teams Sales Organizations: Sales enablement and product training at scale Financial Services: Compliance training and professional certification tracking What You'll Need Required Integrations Jotform - Training request form (free tier works) Create your form for free on Jotform using this link OpenAI API - GPT-4 for AI training analysis (~$0.30-0.60 per request) Gmail - Automated notifications to employees, managers, and HR Google Sheets - Training request database and L&D analytics Quick Start Import Template - Copy JSON and import into n8n Add OpenAI Credentials - Set up OpenAI API key (GPT-4 recommended) Create Jotform Training Request Configure Gmail - Add Gmail OAuth2 credentials Setup Google Sheets: Create spreadsheet with "Training_Requests" sheet Replace YOUR_GOOGLE_SHEET_ID in workflow Columns auto-populate on first submission Customize Training Catalog: Edit "Check Training Budget" node Update training catalog with your actual courses, providers, and costs Add your company's preferred vendors Customization Options Custom Training Catalog: Replace sample catalog with your company's actual training offerings Budget Rules: Adjust approval thresholds (e.g., auto-approve under $500) AI Prompt Tuning: Customize analysis criteria for your industry and culture Multi-Level Approvals: Add VP or director approval for high-cost training Compliance Training: Flag required certifications and regulatory training Vendor Management: Track preferred training vendors and volume discounts Learning Paths: Create role-specific career development tracks Certification Tracking: Monitor professional certifications and renewal dates Training Calendar: Integrate with company calendar for session visibility Waitlist Management: Queue employees when sessions are full Pre/Post Assessments: Add skill testing before and after training Knowledge Sharing: Schedule lunch-and-learns for employees to share learnings Expected Results 100% completion tracking - Digital trail from request to certificate 30% cost reduction - Strategic planning prevents redundant/unnecessary training 95% manager response rate - Automated reminders and clear AI guidance 50% faster approvals - AI pre-analysis speeds manager decisions 40% better course matching - AI recommendations vs manual course selection 60% reduction in budget overruns - Real-time budget visibility 3x increase in skill development velocity - Streamlined process removes friction 85% employee satisfaction - Clear process and fast responses Data-driven L&D strategy - Analytics identify trending skill gaps 25% increase in training ROI - Better targeting and follow-through Use Cases Tech Startup (150 Engineers) Engineer requests "Advanced Kubernetes" training. AI identifies skill gap as "high severity" due to upcoming cloud migration project. Checks department budget ($22K remaining of $50K), recommends $1,800 4-day course with 92% match score. Auto-routes to engineering manager with business impact analysis. Manager approves in 2 hours. Training scheduled for next month. Post-training, engineer leads internal workshop, multiplying impact across 10-person team. Migration completes 3 weeks early, saving $50K. Enterprise Sales Org (500 Reps) Sales rep requests "Negotiation Mastery" after losing 3 deals. AI assesses urgency as "justified" based on revenue impact. Recommends $1,100 2-day course but also suggests lower-cost alternative: internal mentoring from top performer ($0). Manager sees both options, chooses mentoring first. Rep closes next deal with new techniques. Training budget preserved for broader team enablement. ROI: $200K deal closed with $0 training spend. Healthcare System (2,000 Nurses) Nurse requests ACLS recertification. AI flags as "compliance-critical" with "immediate" urgency (expiring in 30 days). Checks budget, finds sufficient funds. Auto-approves and schedules next available session. Sends pre-training materials 1 week before. Tracks attendance, generates certificate upon completion. Updates nurse's credential profile in HRIS. Compliance maintained, no manual intervention needed. Financial Services Firm Analyst requests CFA Level 1 prep course ($2,500). AI assesses as "high ROI" but identifies budget constraint (department at 95% utilization). Recommends deferring to next quarter when new budget allocated. Suggests free Khan Academy courses as interim solution. Manager sees complete analysis, approves deferral, adds analyst to Q2 priority list. Transparent communication maintains morale despite delay. Manufacturing Company Maintenance tech requests PLC programming training. AI identifies 5 other techs with same skill gap. Recommends group training session ($1,200 per person vs $2,000 individual). Calculates team multiplier effect: 6 techs trained = reduced downtime across 3 shifts. Manager approves group session, saving $4,800. All 6 techs complete training together, creating peer support network. Equipment downtime reduced 40%. Pro Tips Quarterly Planning: Use Google Sheets data to identify trending skill gaps and plan group training Budget Forecasting: Track monthly utilization to predict Q4 budget needs Course Ratings: Add post-training feedback to improve AI recommendations over time Internal Experts: Build database of employees who can provide mentoring (free alternative) Learning Paths: Create role-based tracks (e.g., "Junior Dev → Senior Dev" pathway) Compliance Flagging: Auto-identify regulatory/certification requirements Vendor Relationships: Track volume with vendors to negotiate discounts Knowledge Retention: Require post-training presentations to reinforce learning Manager Training: Educate managers on how to evaluate AI recommendations Budget Reallocation: Monthly reviews to move unused budget between departments Early Bird Discounts: AI can suggest booking 60+ days out for savings Continuous Learning: Supplement formal training with Udemy/LinkedIn Learning subscriptions Learning Resources This workflow demonstrates advanced automation: AI Agents with complex analysis across multiple decision dimensions Budget management algorithms with real-time calculations Course recommendation engines with scoring and matching Multi-criteria approval routing based on AI confidence Skill progression modeling from current to desired states ROI analysis balancing cost, impact, and urgency Alternative suggestion algorithms for cost optimization Team impact modeling for knowledge multiplication Risk assessment frameworks for training decisions Real-Time Budget Tracking: Live department budget visibility prevents overspending Audit Trail: Complete history for finance audits and compliance reviews Approval Documentation: Timestamped manager approvals for governance Cost Allocation: Track training costs by department, employee, category ROI Measurement: Compare training investment to business outcomes Compliance Monitoring: Flag required certifications and regulatory training Vendor Management: Track spending with training providers Ready to transform your corporate training? Import this template and turn training chaos into strategic skill development with AI-powered insights and automation! 📚✨ Questions or customization? The workflow includes detailed sticky notes explaining each AI analysis component.

Verified Beta Tester Access Kit - Automated Onboarding System Transform Your Beta Testing Program Automate your entire beta tester onboarding process from signup to tracking with this comprehensive, production-ready n8n workflow. 📚 CATEGORY TAGS Primary Category: ✅ Marketing & Sales Additional Tags: Automation Email Marketing User Management Onboarding SaaS Product Launch Beta Testing Access Control What This Workflow Does When a beta tester signs up through your form or API, this workflow automatically: ✅ Verifies Email Authenticity - Uses VerifiEmail API to validate addresses and block disposable emails ✅ Generates Unique Access Codes - Creates secure BETA-XXXXXX codes with timestamps ✅ Creates QR Codes - Generates scannable codes for quick mobile activation ✅ Builds Branded Access Cards - Produces professional HTML/CSS cards with tester details ✅ Converts to Images - Transforms cards into shareable PNGs ✅ Sends Welcome Emails - Delivers beautifully formatted emails via Gmail ✅ Logs in Trello - Creates organized tracking cards automatically ✅ Returns API Responses - Sends success/error responses with complete data Complete execution time: 5-10 seconds per signup Perfect For 🚀 SaaS startups launching beta programs 📱 Mobile app developers managing beta testers 🎮 Game studios running closed beta tests 🏢 Enterprise teams controlling early access 💼 Product managers organizing user testing 🔬 Research projects managing participants Key Features Security First Real-time email validation Blocks disposable email addresses Unique, non-guessable access codes Webhook authentication ready Professional Branding Customizable HTML/CSS templates Embedded QR codes Responsive email design High-quality PNG generation Team Collaboration Automatic Trello card creation Organized tracking boards Checklist items for follow-ups Easy team assignments Production Ready Comprehensive error handling Detailed logging Scalable architecture Easy integration What You'll Need Required API Keys (All Have Free Tiers): VerifiEmail - Email verification at https://verifi.email HTMLCSSToImage - Image generation at https://htmlcsstoimg.com Gmail Account - Email delivery Trello Account - Project tracking at https://trello.com/app-key Workflow Steps Webhook receives POST request with tester data VerifiEmail validates email authenticity Conditional logic routes valid/invalid emails Function generates unique BETA-XXXXXX access codes HTTP Request creates QR code image Set node stores QR code URL HTMLCSSToImage converts access card to PNG Gmail sends branded welcome email with kit Trello creates tracking card in board Webhook responds with success/error status Sample Request POST to webhook: { "tester_name": "Aarav Mehta", "tester_email": "aarav@example.com", "product_name": "YourApp v1.0", "signup_date": "2025-11-05" } Success Response (200): { "status": "success", "message": "Beta tester verified and access kit delivered", "data": { "tester_name": "Aarav Mehta", "access_code": "BETA-A7K9M2", "trello_card_created": true, "email_sent": true, "qr_code_generated": true } } Error Response (400): { "status": "error", "message": "Invalid or disposable email address detected", "reason": "Disposable email" } Customization Options Email Template Modify HTML in Gmail node Add company logo Change colors and fonts Access Card Design Edit CSS in HTMLCSSToImage node Adjust QR code size Match your brand Access Code Format Change prefix from "BETA-" to your choice Modify length and characters Trello Integration Add custom fields Include labels Set due dates Assign team members Use Cases Mobile App Beta Launch User fills form → Email verified → Code sent → App activated → Team tracks in Trello SaaS Early Access User signs up → Email validated → Access kit received → Product team manages Game Testing Campaign Player requests access → Email verified → Unique key generated → Community team tracks What Makes This Special Unlike simple email workflows, this is a complete system that handles: Security (email verification) Branding (custom access cards) Communication (professional emails) Tracking (team collaboration) Integration (webhook API) All in one cohesive, production-ready workflow! Troubleshooting Common Issues & Solutions: Webhook not receiving data → Check URL and POST method Email verification fails → Verify API key and rate limits Gmail not sending → Reconnect OAuth2 Trello card fails → Confirm List ID is correct Image not generating → Check HTMLCSSToImage credentials 🏷️ ADDITIONAL METADATA Difficulty Level: ⭐⭐⭐ Intermediate (requires API key setup) Time to Setup: 🕐 10-15 minutes

Workshop Certificate Pre-Issuance System 🎯Description Transform your event registration process with this comprehensive automation that eliminates manual certificate creation and ensures only verified attendees receive credentials. ✨ What This Workflow Does This powerful automation takes workshop/event registrations from Jotform and: Validates Email Addresses - Real-time verification using VerifiEmail API to prevent bounced emails and spam registrations Generates Professional PDF Certificates - Creates beautifully designed certificates with attendee name, event details, and unique QR code Saves to Google Drive - Automatically organizes all certificates in a dedicated folder with searchable filenames Sends Confirmation Emails - Delivers professional HTML emails with embedded certificate preview and download link Maintains Complete Records - Logs all successful and failed registrations in Google Sheets for reporting and follow-up 🎯 Perfect For Workshop Organizers** - Pre-issue attendance confirmations Training Companies** - Automate enrollment certificates Conference Managers** - Streamline attendee credentialing Event Planners** - Reduce check-in time with QR codes Educational Institutions** - Issue course registration confirmations Webinar Hosts** - Send instant confirmation certificates 💡 Key Features 🔒 Email Verification Validates deliverability before issuing certificates Detects disposable/temporary emails Prevents spam and fake registrations Reduces bounce rates to near-zero 🎨 Beautiful PDF Certificates Professional Georgia serif design Customizable colors and branding Unique QR code for event check-in Unique certificate ID for tracking Print-ready A4 format 📧 Professional Email Delivery Mobile-responsive HTML design Embedded QR code preview Direct link to Google Drive PDF Branded confirmation message Event details and instructions 📊 Complete Tracking All registrations logged in Google Sheets Separate tracking for failed validations Export data for check-in lists Real-time registration counts Deduplication by email ⚡ Lightning Fast Average execution: 15-30 seconds Instant delivery after registration No manual intervention required Scales automatically 🔧 Technical Highlights Conditional Logic** - Smart routing based on email validity Data Transformation** - Clean formatting of form data Error Handling** - Graceful handling of invalid emails Merge Operations** - Combines form data with verification results Dynamic QR Codes** - Generated with verification URLs Secure Storage** - Certificates backed up in Google Drive 📦 What You'll Need Required Services: Jotform - For registration forms VerifiEmail API - Email verification service Google Account - For Gmail, Drive, and Sheets HTMLCSStoPDF - PDF generation service Estimated Setup Time: 20 minutes 🚀 Use Cases Workshop Series Issue certificates immediately after registration Reduce no-shows with professional confirmation Easy check-in with QR code scanning Virtual Events Instant confirmation for webinar attendees Digital certificates for participants Automated follow-up communication Training Programs Pre-enrollment certificates Attendance confirmations Course registration verification Conferences & Meetups Early bird confirmation certificates Attendee badge preparation Venue capacity management 📈 Benefits ✅ Save Hours of Manual Work - No more creating certificates one by one ✅ Increase Attendance - Professional confirmations boost show-up rates ✅ Prevent Fraud - Email verification stops fake registrations ✅ Improve Experience - Instant delivery delights attendees ✅ Stay Organized - All data tracked in one central location ✅ Scale Effortlessly - Handle 10 or 10,000 registrations the same way 🎨 Customization Options The workflow is fully customizable: Certificate Design** - Modify HTML template colors, fonts, layout Email Template** - Adjust branding and messaging Form Fields** - Adapt to your specific registration needs QR Code Content** - Customize verification data Storage Location** - Choose different Drive folders Tracking Fields** - Add custom data to Google Sheets 🔐 Privacy & Security Email addresses verified before certificate issuance Secure OAuth2 authentication for all Google services No sensitive data stored in workflow GDPR-compliant data handling Certificates stored in private Google Drive 📱 Mobile Responsive Professional emails display perfectly on all devices QR codes optimized for mobile scanning Certificates viewable on phones and tablets Download links work seamlessly everywhere 🏆 Why This Workflow Stands Out Unlike basic registration confirmations, this workflow: Validates emails before generating certificates** (saves resources) Creates actual PDF documents** (not just email confirmations) Includes QR codes for event check-in** (reduces venue queues) Maintains dual tracking** (successful + failed attempts) Provides shareable Drive links** (easy resending) Works 24/7 automatically** (no manual intervention) 🎓 Learning Opportunities This workflow demonstrates: Conditional branching based on API responses Data merging from multiple sources HTML to PDF conversion Dynamic content generation Error handling and logging Professional email template design QR code integration Cloud storage automation 💬 Support & Customization Perfect for n8n beginners and experts alike: Detailed sticky notes** explain every step Clear node naming** makes it easy to understand Modular design** allows easy modifications Well-documented code** in function nodes Example data** included for testing 🌟 Get Started Import the workflow JSON Connect your credentials (Jotform, VerifiEmail, Google) Create your registration form Customize the certificate design Test with a sample registration Activate and watch it work! Tags: #events #certificates #automation #email-verification #pdf-generation #registration #workshops #training #conferences #qr-codes Category: Marketing & Events Difficulty: Intermediate

This workflow transforms your Meta Ads creatives into a rich dataset of actionable insights. It's designed for data-driven marketers, performance agencies, and analysts who want to move beyond basic metrics and understand the specific visual and textual elements that drive ad performance. By automatically analyzing every video and image with Google's powerful AI (Video Intelligence and Vision APIs), it systematically deconstructs your creatives into labeled data, ready for correlation with campaign results. Use Case You know some ads perform better than others, but do you know why? Is it the presence of a person, a specific object, the on-screen text, or the spoken words in a video? Answering these questions manually is nearly impossible at scale. This workflow automates the deep analysis process, allowing you to: Automate Creative Analysis:** Stop guessing and start making data-backed decisions about your creative strategy. Uncover Hidden Performance Drivers:** Identify which objects, themes, text, or spoken phrases correlate with higher engagement and conversions. Build a Structured Creative Database:** Create a detailed, searchable log of every element within your ads for long-term analysis and trend-spotting. Save Countless Hours:** Eliminate the tedious manual process of watching, tagging, and logging creative assets. How it Works The workflow is triggered on a schedule and follows a clear, structured path: 1. Configuration & Ad Ingestion: The workflow begins on a schedule (e.g., weekly on Monday at 10 AM). It starts by fetching all active ads from a specific Meta Ads Campaign, which you define in the Set Campaign ID node. 2. Intelligent Branching (Video vs. Image): An IF node inspects each creative to determine its type. Video creatives** are routed to the Google Video Intelligence API pipeline. Image creatives** are routed to the Google Vision API pipeline. 3. The Video Analysis Pipeline: For each video, the workflow gets a direct source URL, downloads the file, and converts it to a Base64 string. It then initiates an asynchronous analysis job in the Google Video Intelligence API, requesting LABEL_DETECTION, SPEECH_TRANSCRIPTION, and TEXT_DETECTION. A loop with a wait timer periodically checks the job status until the analysis is complete. Finally, a Code node parses the complex JSON response, structuring the annotations (like detected objects with timestamps or full speech transcripts) into clean rows. 4. The Image Analysis Pipeline: For each image, the file is downloaded, converted to Base64, and sent to the Google Vision API. It requests a wide range of features, including label, text, logo, and object detection. A Code node parses the response and formats the annotations into a standardized structure. 5. Data Logging & Robust Error Handling: All successfully analyzed data from both pipelines is appended to a primary Google Sheet. The workflow is built to be resilient. If an error occurs (e.g., a video fails to be processed by the API, or an image URL is missing), a detailed error report is logged to a separate errors sheet in your Google Sheet, ensuring no data is lost and problems are easy to track. Setup Instructions To use this template, you need to configure a few key nodes. 1. Credentials: Connect your Meta Ads account. Connect your Google account. This account needs access to Google Sheets and must have the Google Cloud Vision API and Google Cloud Video Intelligence API enabled in your GCP project. 2. The Set Campaign ID Node: This is the primary configuration step. Open this Set node and replace the placeholder value with the ID of the Meta Ads campaign you want to analyze. 3. Google Sheets Nodes: You need to configure two Google Sheets nodes: Add Segments data:** Select your spreadsheet and the specific sheet where you want to save the successful analysis results. Ensure your sheet has the following headers: campaign_id, ad_id, creative_id, video_id, file_name, image_url, source, annotation_type, label_or_text, category, full_transcript, confidence, start_time_s, end_time_s, language_code, processed_at_utc. Add errors:** Select your spreadsheet and the sheet you want to use for logging errors (e.g., a sheet named "errors"). Ensure this sheet has headers like: error_type, error_message, campaign_id, ad_id, creative_id, file_name, processed_at_utc. 4. Activate the Workflow: Set your desired frequency in the Run Weekly on Monday at 10 AM (Schedule Trigger) node. Save and activate the workflow. Further Ideas & Customization This workflow provides the "what" inside your creatives. The next step is to connect it to performance. Build a Performance Analysis Workflow:** Create a second workflow that reads this Google Sheet, fetches performance data (spend, clicks, conversions) for each ad_id from the Meta Ads API, and merges the two datasets. This will allow you to see which labels correlate with the best performance. Create Dashboards:** Use the structured data in your Google Sheet as a source for a Looker Studio or Tableau dashboard to visualize creative trends. Incorporate Generative AI:** Add a final step that sends the combined performance and annotation data to an LLM (like in the example you provided) to automatically generate qualitative summaries and recommendations for each creative. Add Notifications:** Use the Slack or Email nodes to send a summary after each run, reporting how many creatives were analyzed and if any errors occurred.

Who's it for Marketing teams, business intelligence professionals, competitive analysts, and executives who need consistent industry monitoring with AI-powered analysis and automated team distribution via Discord. What it does This intelligent workflow automatically monitors multiple industry topics, scrapes and analyzes relevant news articles using Claude AI, and delivers professionally formatted intelligence reports to your Discord channel. The system provides weekly automated monitoring cycles with personalized bot communication and comprehensive content analysis. How it works The workflow follows a sophisticated 7-phase automation process: Scheduled Activation: Triggers weekly monitoring cycles (default: Mondays at 9 AM) Query Management: Retrieves monitoring topics from centralized Google Sheets configuration News Discovery: Executes comprehensive Google News searches using SerpAPI for each configured topic Content Extraction: Scrapes full article content from top 3 sources per topic using Firecrawl AI Analysis: Processes scraped content using Claude 4 Sonnet for intelligent synthesis and formatting Discord Optimization: Automatically segments content to comply with Discord's 2000-character message limits Automated Delivery: Posts formatted intelligence reports to Discord channel with branded "Claptrap" bot personality Requirements Google Sheets account for query management SerpAPI account for Google News access Firecrawl account for article content extraction Anthropic API access for Claude 4 Sonnet Discord bot with proper channel permissions Scheduled execution capability (cron-based trigger) How to set up Step 1: Configure Google Sheets query management Create monitoring sheet: Set up Google Sheets document with "Query" sheet Add search topics: Include industry keywords, competitor names, and relevant search terms Sheet structure: Simple column format with "Query" header containing search terms Access permissions: Ensure n8n has read access to the Google Sheets document Step 2: Configure API credentials Set up the following credentials in n8n: Google Sheets OAuth2: For accessing query configuration sheet SerpAPI: For Google News search functionality with proper rate limits Firecrawl API: For reliable article content extraction across various websites Anthropic API: For Claude 4 Sonnet access with sufficient token limits Discord Bot API: With message posting permissions in target channel Step 3: Customize scheduling settings Cron expression: Default set to "0 9 * * 1" (Mondays at 9 AM) Frequency options: Adjust for daily, weekly, or custom monitoring cycles Timezone considerations: Configure according to team's working hours Execution timing: Ensure adequate processing time for multiple topics Step 4: Configure Discord integration Set up Discord delivery settings: Guild ID: Target Discord server (currently: 919951151888236595) Channel ID: Specific monitoring channel (currently: 1334455789284364309) Bot permissions: Message posting, embed suppression capabilities Brand personality: Customize "Claptrap" bot messaging style and tone Step 5: Customize content analysis Configure AI analysis parameters: Analysis depth: Currently processes top 3 articles per topic Content format: Structured markdown format with consistent styling Language settings: Currently configured for French output (easily customizable) Quality controls: Error handling for inaccessible articles and content How to customize the workflow Query management expansion Topic categories: Organize queries by industry, competitor, or strategic focus areas Keyword optimization: Refine search terms based on result quality and relevance Dynamic queries: Implement time-based or event-triggered query modifications Multi-language support: Add international keyword variations for global monitoring Advanced content processing Article quantity: Modify from 3 to more articles per topic based on analysis needs Content filtering: Add quality scoring and relevance filtering for article selection Source preferences: Implement preferred publisher lists or source quality weighting Content enrichment: Add sentiment analysis, trend identification, or competitive positioning Discord delivery enhancements Rich formatting: Implement Discord embeds, reactions, or interactive elements Multi-channel distribution: Route different topics to specialized Discord channels Alert levels: Add priority-based messaging for urgent industry developments Archive functionality: Create searchable message threads or database storage Integration expansions Slack compatibility: Replace or supplement Discord with Slack notifications Email reports: Add formatted email distribution for executive summaries Database storage: Implement persistent storage for historical analysis and trending API endpoints: Create webhook endpoints for third-party system integration AI analysis customization Analysis templates: Create topic-specific analysis frameworks and formatting Competitive focus: Enhance competitor mention detection and analysis depth Trend identification: Implement cross-topic trend analysis and strategic insights Summary levels: Create executive summaries alongside detailed technical analysis Advanced monitoring features Intelligent content curation The system provides sophisticated content management: Relevance scoring: Automatic ranking of articles by topic relevance and publication authority Duplicate detection: Prevents redundant coverage of the same story across different sources Content quality assessment: Filters low-quality or promotional content automatically Source diversity: Ensures coverage from multiple perspectives and publication types Error handling and reliability Graceful degradation: Continues processing even if individual articles fail to scrape Retry mechanisms: Automatic retry logic for temporary API failures or network issues Content fallbacks: Uses article snippets when full content extraction fails Notification continuity: Ensures Discord delivery even with partial content processing Results interpretation Intelligence report structure Each monitoring cycle delivers: Topic-specific summaries: Individual analysis for each configured search query Source attribution: Complete citation with publication date, source, and URL Structured formatting: Consistent presentation optimized for quick scanning Professional analysis: AI-generated insights maintaining factual accuracy and business context Performance analytics Monitor system effectiveness through: Processing metrics: Track successful article extraction and analysis rates Content quality: Assess relevance and usefulness of delivered intelligence Team engagement: Monitor Discord channel activity and report utilization System reliability: Track execution success rates and error patterns Use cases Competitive intelligence Market monitoring: Track competitor announcements, product launches, and strategic moves Industry trends: Identify emerging technologies, regulatory changes, and market shifts Partnership tracking: Monitor alliance formations, acquisitions, and strategic partnerships Leadership changes: Track executive movements and organizational restructuring Strategic planning support Market research: Continuous intelligence gathering for strategic decision-making Risk assessment: Early warning system for industry disruptions and regulatory changes Opportunity identification: Spot emerging markets, technologies, and business opportunities Brand monitoring: Track industry perception and competitive positioning Team collaboration enhancement Knowledge sharing: Centralized distribution of relevant industry intelligence Discussion facilitation: Provide common information baseline for strategic discussions Decision support: Deliver timely intelligence for business planning and strategy sessions Competitive awareness: Keep teams informed about competitive landscape changes Workflow limitations Language dependency: Currently optimized for French analysis output (easily customizable) Processing capacity: Limited to 3 articles per query (configurable based on API limits) Platform specificity: Configured for Discord delivery (adaptable to other platforms) Scheduling constraints: Fixed weekly schedule (customizable via cron expressions) Content access: Dependent on article accessibility and website compatibility with Firecrawl API dependencies: Requires active subscriptions and proper rate limit management for all integrated services

AI-powered alt text generation from Google Sheets to WordPress media Who's it for WordPress site owners, content managers, and accessibility advocates who need to efficiently add alt text descriptions to multiple images for better SEO and web accessibility compliance. What it does This workflow automates the process of generating and updating alt text for WordPress media files using AI analysis. It reads image URLs from a Google Sheet, analyzes each image with Claude AI to generate accessibility-compliant descriptions, updates the sheet with the generated alt text, and automatically applies the descriptions to the corresponding WordPress media files. The workflow includes error handling to skip unsupported media formats and continue processing. How it works Input: Provide a Google Sheets URL containing image URLs and WordPress media IDs Authentication: Retrieves WordPress credentials from a separate sheet and generates Base64 authentication Processing: Loops through each image URL in the sheet AI Analysis: Claude AI analyzes each image and generates concise, accessible alt text (max 125 characters) Error Handling: Automatically skips unsupported media formats and continues with the next item Update Sheet: Writes the generated alt text back to the Google Sheet WordPress Update: Updates the WordPress media library with the new alt text via REST API Requirements Google Sheets with image URLs and WordPress media IDs WordPress site with Application Passwords enabled Claude AI (Anthropic) API credentials WordPress admin credentials stored in Google Sheets Export Media URLs WordPress plugin for generating the media list How to set up Step 1: Export your WordPress media URLs Install the "Export Media URLs" plugin on your WordPress site Go to the plugin settings and check both ID and URL columns for export (these are mandatory for the workflow) Export your media list to get the required data Step 2: Configure WordPress Application Passwords Go to WordPress Admin → Users → Your Profile Scroll down to "Application Passwords" section Enter application name (e.g., "n8n API") Click "Add New Application Password" Copy the generated password immediately (it won't be shown again) Step 3: Set up Google Sheets Duplicate this Google Sheets template to get the correct structure. The template includes two sheets: Sheet 1: "Export media" - Paste your exported media data with columns: ID (WordPress media ID) URL (image URL) Alt text (will be populated by the workflow) Sheet 2: "Infos client" - Add your WordPress credentials: Admin Name: Your WordPress username KEY: The application password you generated Domaine: Your site URL without https:// (format: "example.com") Step 4: Configure API credentials Add your Anthropic API credentials to the Claude node Connect your Google Sheets account to the Google Sheets nodes How to customize Language: The Claude prompt is in French - modify it in the "Analyze image" node for other languages Alt text length: Adjust the 125-character limit in the Claude prompt Batch processing: Change the batch size in the Split in Batches node Error handling: The workflow automatically handles unsupported formats, but you can modify the error handling logic Authentication: Customize for different WordPress authentication methods This workflow is perfect for managing accessibility compliance across large WordPress media libraries while maintaining consistent, AI-generated descriptions. It's built to be resilient and will continue processing even when encountering unsupported media formats.

This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primary_keywords, seo_strength_score, keyword_density_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors** → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection** → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report** → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization** → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs** → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo** for intelligent web scraping OpenAI GPT-4.1-mini** for keyword and SEO analysis Google Sheets** for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.