Workflow Templates

Purpose This workflow allows granular control over the access to tools connected to AI Agents (including Multi-Agent setups) using Role Based Access Control. Demo & Explanation How it works User permissions are managed in Airtable where every restricted AI tool is listed by name and connected via roles to users Requests to the Main Agent can be sent through a Telegram message (can be replaced by Whatsapp, IMAP or similar) On every request the Telegram username is used to query a list of all allowed tools which are linked in Airtable A LangChain Code node is used to compare that list against the connected tools Every tool which is not permitted to be used is being replaced by a tool, which has a status response, telling the Agent to return a message to the user, that he is not authorized to use the tool Otherwise allowed tools are passed through to the Agent, as if they were connected directly to the Agent The parameters can also be passed to a sub-agent called as a sub-workflow where permissions can be checked the same way Every response is sent back to the same Telegram conversation Setup Clone the workflow and select the belonging credentials. You'll need an OpenAI and Airtable Account as well as a Telegram Bot (refer to the docs for the Telegram credentials). Copy this Airtable Template into your workspace Follow the instructions given in the yellow sticky notes Activate the workflow How to use Try this example: Create a new line in Airtable under “Users” containing your Telegram username and your full name Set the roles “basic” and “info” Consider temporarily disconnecting or resetting the chat memories so they do not remember previous confirmations Start a new chat, asking about your permitted roles - you should get a list of those Ask about the current weather in your city - you should be informed, that you do not have permission to access that information Back in Airtable add the role “weather” to your user Now ask the Agent the same question again - It should give you a proper answer this time From here on you can add tools and create roles to your likings. Disclaimer Please note, that this workflow can only run on self-hosted n8n instances, since it requires the LangChain Code Node.

Who is this for? This workflow is ideal for: Finance teams** that need to process incoming invoices faster with minimal errors Small to mid-sized businesses** that want to automate invoice intake, review, and storage Operations managers** who require approval workflows and centralized record-keeping What problem is this workflow solving? Manually processing invoices is time-consuming, error-prone, and often lacks structure. This workflow solves those challenges by: Automating the intake of invoices** from multiple sources (email, Google Drive, web form) Extracting invoice data using AI**, eliminating manual data entry Implementing an email-based approval system** to add human oversight Automatically storing approved invoice data** in Google Sheets for easy access and reporting Notifying stakeholders** when invoices are approved or rejected What this workflow does This end-to-end invoice processing workflow includes: Three invoice input methods: Google Drive folder monitor, Gmail attachments, and web form uploads PDF to text extraction for each input method using native PDF parsing AI-powered invoice analysis with GPT-4 to extract structured fields such as vendor, total, and due date Dynamic categorization of invoice type (e.g., Travel, Software, Utilities) via AI Email-based approval workflow with embedded forms to collect decisions and notes Automated Google Sheets logging of all invoice data, approval status, and reviewer feedback Rejection notifications sent automatically to your finance team for transparency and follow-up Setup Copy the Google Sheet template here: 👉 PDF Invoice Parser with Approval Workflow – Google Sheet Template Connect your Google Drive account and specify the invoice folder ID Set up Gmail to monitor incoming invoices with PDF attachments Enable your form trigger to accept direct uploads from your internal or external users Enter your OpenAI API key in the AI processing node for data extraction Configure Google Sheets with a target spreadsheet to store invoice data Set recipient email addresses for invoice approvals and rejection notifications Test with a sample invoice to ensure end-to-end flow is working How to customize this workflow to your needs Change input sources**: Replace Gmail with Outlook or use Slack uploads instead Add validation steps**: Include regex or keyword checks before AI analysis Customize the AI schema**: Modify the expected JSON structure based on your internal finance system Integrate with accounting tools**: Add Xero, QuickBooks, or custom API nodes to push data Route based on category**: Add conditional logic to handle invoices differently based on vendor or category Multi-level approvals**: Add additional email steps if higher-level signoff is needed Audit logging**: Use database or Google Sheets to maintain a historical log of approvals and rejections

For Who? Content Creators Youtube Automation Marketing Team How it works? 1 - Enter your content idea in the Edit Fields node in a "raw" format. Ex : Boil Eggs Perfectly 2 - LLM create 3 keywords request based on the idea and Apify scrape the YTB Search 3 - Wait until the dataset is completed in Apify 4 - Retrieve Dataset from Apify, calculate approximation of CTR and filter top performing videos 5 - LLM analyze patterns of best performing titles and create a prompt based on it. Another LLM create 5 titles based on these criteria 6 - LLM analyze patterns of best performing thumbnails and create a prompt based on it. Another LLM create 1 thumbnail based on these criteria 7 - Return titles and thumbnail in a HTML Page 📺 YouTube Video Tutorial: SETUP Setup Input Content Idea : Enter Keyword Related to the niche you want. Trigger can be replaced with anything as long as you retrieve a content idea. For example : Form submission, Database entry, etc ... If you want to change the number of keywords, update the data accordingly in the "Create Keywords" LLM Chain node ➡️ Structured Output Parser AND in the "YTB Search Scrape" HTTP Request Node in Body ➡️ JSON ➡️ searchQueries. If you want to change the number of scraped videos for each keyword, update the data accordingly in the "Create Videos Dataset" HTTP Request Node in Body ➡️ JSON ➡️ maxResults. If you want to adjust the CTR Calculation feel free to update it in the Code Node ➡️ Follow the Comments (after "//") to find what you're looking for. If you want to adjust the level of virality of the videos kept for analaysis go to Filter Node ➡️ Value. Setup Output HTML Page : You can also replace this part with any type of storage. For example : Airtable Database, Google Drive/Google Sheet, Send to an email, etc ... APIs : For the following third-party integrations, replace ==[YOUR_API_TOKEN]== with your API Token or connect your account via Client ID / Secret to your n8n instance : Apify : https://docs.apify.com/api/v2/getting-started OpenAI : https://platform.openai.com/docs/overview (base URL : https://api.openai.com/v1) OR OpenRouter : https://openrouter.ai/docs/quickstart (base URL : https://openrouter.ai/api/v1) HuggingFace (FLUX.1) : https://huggingface.co/docs 👨‍💻 More Workflows : https://n8n.io/creators/nasser/

🛒 Monitor Google Shopping Prices with Bright Data & Email Alerts This template requires a self-hosted n8n instance to run. A comprehensive n8n automation that monitors product prices daily using Bright Data's Google Shopping dataset and sends smart email alerts when price conditions are met. 📋 Overview This workflow provides an automated price monitoring solution that tracks product prices from Google Shopping daily and sends intelligent email notifications. Perfect for e-commerce monitoring, competitor analysis, deal hunting, and inventory management. ✨ Key Features 🕘 Scheduled Monitoring: Daily automated price checks at 9 AM 🛍️ Google Shopping Integration: Uses Bright Data's dataset for accurate pricing 📊 Smart Price Comparison: Compares current prices with historical data 📧 Intelligent Alerts: Sends emails only when prices meet criteria 📈 Data Storage: Updates Google Sheets with latest pricing data 🔄 Batch Processing: Handles multiple products with rate limiting ⚡ Fast & Reliable: Built-in error handling 🎯 Customizable Filters: Advanced price comparison logic 🎯 What This Workflow Does Schedule Trigger: Runs daily at 9 AM Data Retrieval: Fetches product list from Google Sheets Price Extraction: Scrapes current prices using Bright Data Data Update: Updates Google Sheets with new prices Price Comparison: Compares new vs. old prices Smart Filtering: Filters products that meet alert criteria Email Notifications: Sends alerts for qualifying changes Rate Limiting: Adds delay between emails Output Data Points | Field | Description | Example | | :------------ | :------------------------- | :------------------------------- | | Product URL | Original Google Shopping URL | https://shopping.google.com/product/... | | Product Name | Product title | iPhone 15 Pro Max 256GB | | Ratings | Product rating score | 4.5 | | Reviews | Number of reviews | 1,247 | | Old Price | Previous price | $1,199.00 | | New Price | Current scraped price | $1,199.00 | | Timestamp | When the check occurred | 2025-05-30T09:00:00Z | 🚀 Setup Instructions Prerequisites n8n instance (self-hosted or cloud) Google account with Sheets access Bright Data account with Google Shopping dataset access Gmail account for notifications Steps Import the workflow JSON into n8n Configure Bright Data credentials and dataset access Set up Google Sheets with required columns Configure Gmail OAuth2 credentials Update sheet IDs and schedule settings Test with sample products and activate 📖 Usage Guide Google Sheet Structure Your Google Sheet should have the following columns to ensure the workflow functions correctly: Product URL** (Text): The direct URL to the Google Shopping product page. This is the primary identifier for the product. Product Name** (Text): The name of the product. This will be automatically populated or updated by the workflow. Old Price** (Number/Currency): The price of the product from the previous check. This column is crucial for price comparison. New Price** (Number/Currency): The most recently scraped price of the product. Ratings** (Number): The star rating of the product. Reviews** (Number): The total number of reviews for the product. Timestamp** (Datetime): The date and time when the price check was performed. Adding Products Add Google Shopping URLs to your Google Sheet. The workflow will fetch product details and track prices. Historical price data builds over time. Understanding Price Alerts The default setting for this workflow is to send an email alert when the new price equals the old price. This might seem counterintuitive, but it's useful for specific scenarios, such as: Monitoring stable pricing:** If you are tracking a product and want to be notified when its price has remained consistent over time, indicating a potential stable buying opportunity or a benchmark. Verifying data consistency:** To confirm that the scraping process is working correctly and consistently retrieving the same price when no changes are expected. You can easily customize the alert logic to trigger on different conditions as described below. Customizing Alert Logic Price drops:** new_price < old_price Significant drops:** new_price < (old_price * 0.9) (e.g., price dropped by more than 10%) Price increases:** new_price > old_price Any change:** new_price != old_price Reading the Results Real-time pricing data Historical tracking Product metadata Timestamps for each check 🔧 Customization Options Add More Data:** Descriptions, availability, seller info, shipping, images Modify Email Templates:** Customize subject and body Multiple Recipients:** Duplicate email node and change recipients Webhook Integration:** Add real-time triggers or Slack alerts 🚨 Troubleshooting Bright Data connection failed:** Check API credentials and dataset access No price data extracted:** Verify URLs and test with different products Google Sheets permission denied:** Re-authenticate and check sharing Emails not sending:** Re-auth Gmail OAuth and verify recipients Filter not working:** Check price formats and logic Workflow failed:** Check logs, retry logic, and network status 📊 Use Cases & Examples E-commerce Monitoring:** Track competitor pricing and trends Deal Hunting:** Get alerts for price drops on wishlist items Inventory Management:** Monitor supplier pricing for procurement Market Research:** Analyze pricing trends and generate reports ⚙️ Advanced Configuration Batch Processing:** Increase batch size, add delays, use parallel processing Price History:** Store historical data, calculate averages, forecast trends Tool Integration:** CRM, Slack, databases, BI tools (Tableau, Power BI) 📈 Performance & Limits Single URL:** 2–5 seconds Concurrent Requests:** 3–5 (depends on Bright Data plan) Data Accuracy:** 95%+ Success Rate:** 90%+ Daily Capacity:** 100–500 products Memory:** ~100MB per execution API Calls:** 1 Bright Data + 2 Google Sheets per product 🤝 Support & Community n8n Forum:** <https://community.n8n.io> Documentation:** <https://docs.n8n.io> Bright Data Support:** Via your Bright Data dashboard GitHub Issues:** Report bugs and request features 🎯 Ready to Use! Your workflow provides a solid foundation for automated price monitoring. Customize it to fit your specific needs and use cases for maximum effectiveness in tracking Google Shopping prices with intelligent email notifications. Please note that this template uses Community Nodes. Ensure you understand the risks before using community nodes.

Workflow Overview This sophisticated n8n automation is a powerful lead generation and outreach tool designed to transform YouTube channel research into actionable marketing opportunities. By intelligently connecting multiple services and APIs, this workflow: Discovers Targeted Channels: Scrapes YouTube channels based on specific keywords Extracts comprehensive channel metadata Identifies potential business opportunities Intelligent Lead Qualification: Filters channels with contact emails Validates email authenticity Ensures high-quality lead generation Personalized Outreach: Sends customized cold emails Leverages channel-specific personalization Automates initial contact process Key Benefits 🕵️ Automated Lead Discovery: Find potential collaborators or clients 🧠 Smart Filtering: Eliminate invalid or irrelevant leads 📧 Personalized Outreach: Contextual, channel-specific communication ⏱️ Time-Saving: Eliminate manual research and email hunting Workflow Architecture 🔍 Stage 1: Channel Scraping Apify Integration**: Scrapes YouTube channels Keyword-Based Search**: Target specific niches Metadata Extraction**: Collect channel details, emails 🧩 Stage 2: Lead Qualification Email Existence Check**: Filter channels with contact info ZeroBounce Verification**: Validate email authenticity Quality Control**: Ensure only valid leads proceed 📬 Stage 3: Personalized Outreach Gmail Integration**: Send customized cold emails Dynamic Personalization**: Use channel-specific details Automated Communication**: Streamline initial contact Potential Use Cases Marketing Agencies**: Find potential clients Influencer Marketers**: Discover collaboration opportunities Content Creators**: Network and expand professional connections Sales Teams**: Generate targeted lead lists Recruitment Specialists**: Identify industry professionals Setup Requirements Apify Account API token YouTube Scraper Actor Configured search keywords ZeroBounce Account Email verification API Validation credits Gmail Account OAuth2 authentication Configured sending profile n8n Installation Cloud or self-hosted instance Import workflow configuration Configure API credentials Future Enhancement Suggestions 🤖 AI-powered email personalization 📊 Advanced lead scoring mechanisms 🔄 Automated follow-up sequences 📈 Integration with CRM platforms 🌐 Multi-platform lead generation Ethical Considerations Respect email communication guidelines Comply with anti-spam regulations Provide clear opt-out mechanisms Maintain professional, value-driven outreach Connect With Me Ready to supercharge your lead generation? 📧 Email: Yaron@nofluff.online 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your outreach strategy with intelligent, automated workflows!

Accept YooKassa payments and log transactions in Google Sheets 🧾 Summary This workflow allows you to accept online payments via YooKassa and log both orders and transactions in Google Sheets — all without writing a single line of code. It supports full payment flow: product selection, payment initiation, webhook processing, refund updates, and payment status checks. 👥 Who is this for? This template is ideal for: Online stores with simple checkout flows Sellers of digital products or info-courses Entrepreneurs using Telegram bots or web forms Anyone needing quick payment integration with Google Sheets tracking 🎯 What problem does this workflow solve? Setting up online payments usually requires backend infrastructure. This no-code solution automates the entire payment flow: Handles product listing and price retrieval Initiates payments with email and return URL Listens for payment.succeeded and refund.succeeded events Records every action into structured Google Sheets ⚙️ What this workflow does 1. GET /products Returns a sorted list of products from a Google Sheet (products). 2. POST /payment Validates required fields (product_id, email, return_url) Checks email format Fetches product data from products Generates a unique idempotence key Sends a request to YooKassa API Saves the order into the orders sheet Returns a payment confirmation link 3. POST /yoomoney Webhook to process payment/refund events: On payment.succeeded, adds entry to transactions On refund.succeeded, updates transaction status 4. GET /status/\:id Returns real-time payment status from YooKassa 🚀 Setup Connect credentials: Google Sheets (OAuth2) YooKassa (Basic Auth using shopId and secretKey) Update the following Google Sheets: products: should contain product_id, title, price orders: for saving confirmed purchases transactions: for logging all successful or refunded payments Test endpoints using any HTTP client: Example payload for /payment: { "product_id": "abc123", "email": "user@example.com", "return_url": "https://your.site/success" } 🔧 How to customize this workflow Add delivery logic (e.g., email with product link after successful payment) Replace Google Sheets with a database (e.g., PostgreSQL) Connect Telegram or other messengers for post-payment notifications Add promo codes, discounts, or subscriptions logic 💼 Use cases Simple online checkouts Telegram bots selling access Educational product sales MVP e-commerce flows Donation or membership payments 📎 Notes ✅ Includes Sticky Notes for sections ✅ Includes error handling and validation ✅ No custom code needed except UUID generation

🎯 Automated TikTok Influencer Discovery & Analysis A complete n8n automation that discovers TikTok influencers using Bright Data, evaluates their fit using Claude AI, and sends personalized outreach emails. Designed for marketing teams and brands that need a scalable, intelligent way to find and connect with relevant creators. 📋 Overview This workflow provides a full-service influencer discovery pipeline: it finds TikTok profiles using search keywords, uses AI to assess alignment with your brand, and initiates contact with qualified influencers. Ideal for influencer marketing, brand partnerships, and campaign planning. ✨ Key Features 🔍 Keyword-Based Discovery** Locate TikTok influencers by specific niche-related keywords. 📊 Bright Data Integration** Access accurate TikTok profile data from Bright Data’s datasets. 🤖 AI-Powered Analysis** Claude AI evaluates each profile's fit with your brand based on bio, content, and more. 📧 Smart Email Notifications** Sends tailored outreach emails to creators deemed highly relevant. 📈 Data Storage** Google Sheets stores profile details, AI evaluation results, and outreach status. 🎯 Intelligent Filtering** Processes only influencers who meet your criteria (e.g., 5000+ followers, industry match). ⚡ Fast & Reliable** Uses professional scraping with robust error handling. 🔄 Batch Processing** Supports bulk influencer processing through a single automated flow. 🎯 What This Workflow Does Input Search Keywords** – TikTok terms for finding niche creators Business Info** – Brand description and industry Collaboration Criteria** – Follower count minimum, niche alignment Processing Steps Form Submission TikTok Discovery via Bright Data Data Extraction and Normalization Save to Google Sheets Relevance Scoring via Claude AI Filtering Based on AI Score + Follower Count Personalized Email Outreach Output Data Points | Field | Description | Example | |---------------|------------------------------------|----------------------------------| | Profile ID | TikTok profile identifier | tiktoker123456 | | Username | TikTok handle | @creativecreator | | URL | Profile link | https://tiktok.com/@creativecreator | | Description | Creator bio | "Fashion & lifestyle content..." | | Followers | Total follower count | 50,000 | | Collaboration | AI assessment of brand fit | "Highly Relevant" | | Analysis | 50-word Claude AI relevance summary| "Strong alignment with fashion..."| 🚀 Setup Instructions Prerequisites n8n (cloud or self-hosted) Bright Data account with TikTok access Google Sheets + Gmail Anthropic Claude API key 10–15 minutes setup time Step-by-Step Setup Import Workflow via JSON in n8n Configure Bright Data – Add API credentials and dataset ID Google Sheets – Setup credentials and map columns Claude AI – Insert API key and select desired model Gmail – Authenticate Gmail and update mail node settings Update Variables – Replace placeholders with business info Test & Launch – Submit a sample form and verify all outputs 📖 Usage Guide Adding Search Keywords Submit the form with search terms, business description, and industry category to trigger the workflow. Understanding AI Analysis Emails are sent only if: Collaboration status = Highly Relevant Follower count ≥ 5000 Industry alignment confirmed Claude AI returns a 50-word analysis justifying the match Customizing Filters Edit the "Find the Collaborator" prompt to adjust: Follower thresholds Industry relevance Additional metrics (e.g., engagement rate) Viewing Results Google Sheets log includes: Influencer metadata AI scores and rationale Collaboration status Email delivery timestamp 🔧 Customization Options Add More Fields:** Engagement rate, contact email, content themes Email Personalization:** Customize message templates or integrate other mail services Enhanced Filtering:** Use engagement rates, region, content frequency 🚨 Troubleshooting | Issue | Fix | |-------|-----| | Bright Data fails | Recheck API and dataset ID | | No influencer data | Adjust keywords or dataset scope | | Sheets permission error | Re-authenticate and check sharing | | Claude fails | Validate API key and prompt | | Emails not sent | Re-auth Gmail or update recipient field | | Form not triggering | Reconfirm webhook URL and permissions | Advanced Debugging Check n8n execution logs Run individual nodes for pinpointing failures Confirm all data formats Handle API rate limits Add error-catch nodes for retries 📊 Use Cases & Examples Brand Discovery:** Fashion, tech, fitness creators Competitor Insights:** Find influencers used by rival brands Campaign Planning:** Build targeted influencer lists Market Research:** Identify creator trends across regions ⚙️ Advanced Configuration Batch Execution:** Process multiple keywords with delay logic Engagement Metrics:** Scrape and calculate likes-to-follower ratios CRM Integration:** Sync qualified profiles to HubSpot, Salesforce, or Slack 📈 Performance & Limits Processing Time:** 3–5 minutes per keyword Concurrency:** 3–5 simultaneous fetches (depends on plan) Accuracy:** >95% influencer data reliability Success Rate:** 90%+ for outreach and processing

✅ What problem does this workflow solve? Automatically monitor multiple websites every 5 minutes, log downtime, notify your team instantly via multiple channels, and track uptime/downtime in a Google Sheet—without relying on expensive monitoring tools. ⚙️ What does this workflow do? Triggers every 5 minutes to monitor website health. Fetches a list of website URLs from a Google Sheet. Checks the status of each website one by one. Sends instant alerts if a website is down (Email, Slack, Telegram, Voice Call). Logs downtime events in Google Sheets. Tracks when websites are back up and updates the log. Sends recovery notifications when a site is live again (Email, Slack, Telegram). 🔧 Setup 📄 Google Sheets Setup Sheet 1: List of website URLs to monitor. Sheet 2: Log to store uptime/downtime records. Sample Format: https://docs.google.com/spreadsheets/d/1_VVpkIvpYQigw5q0KmPXUAC2aV2rk1nRQLQZ7YK2KwY/edit?usp=sharing ✉️ Gmail, Slack & Telegram Setup Connect Gmail, Slack, and Telegram to n8n. Configure each service with proper credentials or OAuth. 📞 Vapi (Voice Call) Setup Create a Vapi account. Generate an API key. Configure API Parameters (vapi_api_key, assistant_id, number, phone_number_id) on VAPI Node. Insert the First Message specified in the Workflow. 🧠 How it Works ⏱ 1. Scheduled Monitoring A Schedule Trigger runs the workflow every 5 minutes. It reads the list of URLs from the Google Sheet and loops through each one. 🌍 2. Website Health Check Each website is pinged to check if it’s online. 🔴 3. If Website is Down: It verifies if a downtime record already exists. If not, it: Adds a new row in the Google Sheet with the timestamp. Sends notifications via: 📧 Email 💬 Slack 📲 Telegram 📞 Voice Call via Vapi 🟢 4. If Website is Back Up: It fetches the matching downtime record. Updates the sheet with: ✅ Uptime timestamp ⏱ Total downtime duration Sends recovery notifications via: 📧 Email 💬 Slack 📲 Telegram (No phone call is made for uptime.) 👤 Who can use it? This is perfect for: 🚀 Startups 👨‍💻 Freelance Developers 🛠 SaaS Product Owners 🖥 IT/DevOps Teams If you're looking to replace tools like UptimeRobot, Pingdom, or StatusCake, this no-code solution gives you full control, customization, and cost-efficiency.

Why Teachers now spend 3-4 hours per lesson creating materials and resources from scratch. With additional/special needs, this makes it difficult to create additional materials. This is unsustainable and takes their time away from teaching. Tailored for UK teachers but can be expanded globally with prompt and form enhancements. How it works I built a system with three specialized AI agents that create complete lesson packages and automatically uploads a document in Google drive and puts an appointment in calendar to review the document. Features Research agent to pull specific information including special education needs and curriculums. The scoring and assessment agent to generate tailored assessment plans, assignments, grading mechanism based on chosen requirements. The integration agent just provides ideas to expand to other tools. In nfuture there is opportunity to add on Kahoot or other tools to create quizzes. Finally the enriched document is emailed and a calendar invite is sent for review. What you need N8N Any LLM API Key (I used OpenAI) Google drive integration Google calendar integration Modify the email id from XXX@gmail.com to your Email id in email component. Support Watch this video for intro on how it works. Contact me on info@pankstr.com for any queries.

AI-powered WhatsApp booking system with instant SMS confirmations Who is this for? This workflow is designed for solo entrepreneurs, consultants, coaches, clinics, or any business that handles client appointments and wants to automate the entire scheduling experience via WhatsApp — without the need for live agents. What problem is this workflow solving? Responding to inbound messages, collecting booking details, suggesting available times, and sending reminders can be a huge time drain. This workflow eliminates manual handling by: Automating WhatsApp conversations with an AI assistant Booking appointments directly into Cal.com Sending timely SMS reminders before appointments It ensures you never miss a lead or a follow-up — even while you sleep. What this workflow does From a single WhatsApp message, the workflow: Triggers via a WhatsApp webhook Uses GPT-4 to handle conversation flow and qualify the prospect Collects name, email, selected service Calls Cal.com API to fetch available time slots Books the appointment and stores it in Google Sheets Sends a confirmation message via WhatsApp Periodically scans for upcoming appointments Sends SMS reminders to clients 2 hours before their session Setup Connect your Webhook node to a WhatsApp API (e.g., 360dialog, Twilio, or Ultramsg) Add your OpenAI API key for the GPT-4 nodes Configure your Cal.com API key and set your calendar ID Link your Google Sheets with fields like: name, email, date, time, status, reminder_sent Connect your SMS service (e.g., sms77) with API credentials Adjust the schedule in the reminder node as needed How to customize this workflow to your needs Change the language or tone of the AI assistant** by editing the system prompt in the GPT node Filter available time slots** by service, team member, or duration Modify the reminder timing** (e.g., 1 hour before, 24h before, etc.) Add conditional logic** to route users to different booking flows based on their responses Integrate additional CRMs** or notification channels like email or Slack 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

✅ What problem does this workflow solve? Shopify and E-Commerce store owners often struggle to create engaging 3D videos from static product images. This workflow automates that entire process—from image upload to video delivery—so store owners can get professional-looking 3D videos without any manual editing or follow-up. ⚙️ What does this workflow do? Accepts a 2D product image and name via a public n8n form. Generates a unique slug and folder in Google Drive for the product. Uploads the original image to Google Drive and logs data in a spreadsheet. Removes the background from the image using remove.bg API. Uploads the cleaned image to Google Drive and updates the spreadsheet. Creates a 3D product video using the cleaned image via the Fal.ai API. Periodically checks the video creation status. Once completed, download the video, upload it to Google Drive, and log the link. Notifies the store owner via email with the video download link. 🔧 Setup 🟢 Google Services Google Drive**: Create and connect a folder where all product assets will be stored. Google Spreadsheet**: A spreadsheet to log the product name, original image link, cleaned image link, and final video URL. Gmail**: Connect Gmail to send the final notification email to the store owner. 🔑 API Keys Required Remove.bg**: Get an API key from remove.bg. Fal.ai**: Sign up at fal.ai and obtain your API key to use the image-to-video generation service. 🧠 How it Works 📝 1. Product Form Submission A store owner submits the product name and 2D image via a public n8n form. 🗂 2. Organize in Google Drive A unique slug is generated for the product. A new folder is created inside Google Drive using that slug. The original image is uploaded into the folder. 📊 3. Record in a Spreadsheet The product name and original image URL are stored in a Google Sheet. 🧹 4. Background Removal The uploaded image is processed through remove.bg API to eliminate noisy or cluttered backgrounds. The cleaned image is uploaded back into the product’s Drive folder. The cleaned image link is updated in the spreadsheet. 🎥 5. Create 3D Video (via Fal.ai) The cleaned image is passed to the Fal.ai video generation API. The workflow periodically checks the status until the video is ready. ☁️ 6. Store Final Video Once the video is ready, the file is downloaded. The final video is uploaded into the same Google Drive folder. Its link is saved in the spreadsheet next to the respective product entry. 📧 7. Notify the Store Owner An automated email is sent to the store owner with the video link, letting them know it's ready for use—no waiting, no manual follow-up needed. 👤 Who can use it? This workflow is ideal for: 🛍 Shopify Sellers 🧺 E-commerce Store Owners 📸 Product Photographers 🎬 Marketing Teams 🤖 Automation Enthusiasts If you want to automate 3D product video creation using AI—this is the no-code workflow you’ve been waiting for!

Who is this for? This template is ideal for n8n administrators, automation engineers, and DevOps teams who want to maintain bidirectional synchronization between their n8n workflows and GitHub repositories. It helps teams keep their workflow backups up-to-date and ensures consistency between their n8n instance and version control system. What problem is this workflow solving? Managing workflow versions across n8n and GitHub can become complex when changes happen in both places. This workflow solves that by automatically synchronizing workflows bidirectionally, ensuring that the most recent version is always available in both systems without manual intervention or version conflicts. What this workflow does: Runs on a weekly schedule (every Monday) to check for synchronization needs. Fetches all workflows from your n8n instance and compares them with GitHub repository files. Identifies workflows that exist only in n8n and uploads them to GitHub as JSON backups. Identifies workflows that exist only in GitHub and creates them in your n8n instance. For workflows that exist in both places, compares timestamps and syncs the most recent version: If n8n version is newer → Updates GitHub with the latest workflow If GitHub version is newer → Updates n8n with the latest workflow Automatically handles file naming, encoding/decoding, and commit messages with timestamps. Setup: Connect GitHub: Configure GitHub API credentials in the GitHub nodes. Note: Use a GitHub Personal Access Token (classic) with repo permissions to read and write workflow files. Connect n8n API: Provide your n8n API credentials in the n8n nodes. Check this doc Configure GitHub Details in the Set GitHub Details node: github_account_name: Your GitHub username or organization github_repo_name: The repository name where workflows should be stored repo_workflows_path: The folder path in your repo (e.g., workflows or n8n-workflows) Adjust Schedule: Modify the Schedule Trigger if you want a different sync frequency (currently set to weekly on Mondays). Test the workflow: Run it manually first to ensure all connections and permissions are working correctly. How to customize this workflow to your needs: Change sync frequency**: Modify the Schedule Trigger to run daily, hourly, or on-demand. Add filtering**: Extend the Filter node to exclude certain workflows (e.g., test workflows, templates). Add notifications**: Insert Slack, email, or webhook notifications to report sync results. Implement conflict resolution**: Add custom logic for handling workflows with the same timestamp. Add workflow validation**: Include checks to validate workflow JSON before syncing. Branch management**: Modify to sync to different branches or create pull requests instead of direct commits. Backup retention**: Add logic to maintain multiple versions or archive old workflows. Key Features: Bidirectional sync**: Handles changes from both n8n and GitHub Timestamp-based conflict resolution**: Always keeps the most recent version Automatic file naming**: Converts workflow names to valid filenames Base64 encoding/decoding**: Properly handles JSON workflow data Comprehensive comparison**: Uses dataset comparison to identify differences Automated commits**: Includes timestamps in commit messages for traceability This automated synchronization workflow provides a robust backup and version control solution for n8n workflows, ensuring your automation assets are always safely stored and consistently available across environments.