Workflow Templates

Overview: GitHub to WordPress Tutorial Generator This workflow automates the process of creating technical tutorials for your blog. It runs on a weekly schedule, automatically identifies trending GitHub repositories, uses an AI to generate a detailed tutorial for each one, and then saves the content as a draft post on your WordPress site. Finally, it sends you an email notification so you can review and publish the new content. This is an excellent way to keep your blog fresh with relevant, trending topics without manual effort. How It Works Weekly Trigger: The workflow is set to activate every Monday at 10 AM, starting the entire process. Get Trending Repositories: The workflow makes an HTTP request to the GitHub API to find the most popular repositories. Split Items: The Split node processes the list of repositories from the GitHub API, handling each one as a separate item. This ensures that a unique tutorial is created for every trending repository. AI Tutorial Generation: The AI Tutorial Generator node, powered by the Google Gemini Chat Model, takes the information for each repository and, following a detailed prompt, creates a comprehensive tutorial. The prompt instructs the AI to include an introduction, prerequisites, code examples, best practices, and more. Format Content: A Code node then processes the AI's output. It extracts the title and content, ensuring the data is correctly formatted for the next steps. It's a key step to handle potential variations in the AI's output. Create WordPress Post: The WordPress node takes the formatted tutorial content and creates a new post on your blog, automatically setting the title, tags, and categories. It's saved as a draft, allowing you to review and edit it before publishing. Send Notification: Once the post is created, the Email node sends a notification to your email address, letting you know a new tutorial is ready for your review. Setup Steps Configure WordPress Credentials: In the Create Tutorial Post node, add your WordPress credentials. This includes your site URL, username, and application password. Set Up Email Credentials: In the Notify Admin node, add your email service credentials (e.g., SMTP, Gmail) to enable sending email notifications. Configure GitHub API Access: Manual Mapping: Run the Get Trending Repos node once to get sample data. In the Split Repository Items node, manually map the data by setting the "Field to Split Out" to json.items. This tells the workflow to process each repository in the API response. Optional: For higher API limits, you can create a GitHub Personal Access Token and configure the Get Trending Repos node to use it. Review AI Prompt: Go to the AI Tutorial Generator node and read the system message. You can adjust the prompt to change the style, length, or content of the tutorials the AI generates.

AI-Powered Abandoned Cart Recovery (WooCommerce + CoCart + n8n) This workflow automatically tracks abandoned carts from a WooCommerce store, waits for a defined time, rechecks the cart status, generates a personalized reminder email using AI, sends it to the customer via Gmail and notifies the internal team on Slack. It helps recover lost revenue by following up with customers at the right time using personalized, human-friendly messaging — without any manual work. This workflow listens for abandoned cart events from your store, waits for a configurable delay (such as 30–60 minutes), verifies whether the cart is still unpaid and then automatically sends a personalized reminder email generated by AI. At the same time, it sends a Slack notification to your internal team for visibility. You receive: Automated abandoned cart detection** AI-generated personalized reminder emails** Customer email delivery via Gmail** Internal Slack notifications for your team** Ideal for ecommerce teams who want a simple, automated way to recover abandoned carts and improve conversion rates. What It Does This workflow automates the full abandoned cart recovery process: Receives abandoned cart data from the store via webhook. Normalizes incoming cart and customer information. Waits for a defined time to allow natural checkout completion. Rechecks the cart status using the CoCart API. Validates whether: Items are still in the cart Payment is still pending Generates a personalized reminder email using OpenAI. Extracts email subject and body from AI output. Sends the reminder email to the customer via Gmail. Sends a Slack message to notify the internal team. If the cart is already completed, the workflow stops automatically. Who’s It For This workflow is ideal for: Ecommerce store owners WooCommerce merchants Marketing teams handling cart recovery Sales teams tracking abandoned purchases Agencies building automation for ecommerce clients Anyone wanting automated abandoned cart follow-ups Requirements to Use This Workflow To run this workflow, you will need: n8n instance** (cloud or self-hosted) WooCommerce store** CoCart plugin** installed and configured OpenAI API key** Gmail account** with OAuth access Slack workspace** (for internal notifications) Basic understanding of webhooks and API responses How It Works Webhook Trigger – Store sends abandoned cart data to n8n. Data Normalization – Cart key, email, product details are structured. Wait Period – Workflow pauses for a defined time (30–60 minutes). Recheck Cart – Cart status is fetched again from CoCart. Abandoned Cart Validation – Checks if items exist and payment is pending. AI Email Generation – OpenAI creates a friendly reminder email. Email Parsing – Subject and body are extracted from AI output. Customer Email – Gmail sends the reminder to the customer. Slack Notification – Internal team is notified about the abandoned cart. Setup Steps Import the provided n8n workflow JSON file. Connect the Webhook node to your store so abandoned cart data is sent correctly. Configure the Wait node with your desired delay (example: 30–60 minutes). Ensure the CoCart API endpoint is accessible and accepts the cart key. Connect your OpenAI account to generate email content. Configure the Gmail node to send reminder emails to customers. Connect Slack credentials to receive internal notifications. Activate the workflow — abandoned cart recovery starts automatically. How To Customize Nodes Customize Wait Time Adjust the Wait node to: Send reminders faster (15–30 minutes) Send reminders later (1–2 hours) Customize Email Content Modify the AI Agent prompt to: Change email tone (formal, friendly, urgent) Add discount messaging Include brand voice or CTA text Customize Slack Notifications You can: Change the Slack channel Add mentions (@team, @sales) Include cart value or product links Add-Ons (Optional Enhancements) You can extend this workflow to: Send multiple reminder emails (1st, 2nd, final) Add SMS or WhatsApp reminders Apply discount codes automatically Track recovered carts in a database Segment customers by cart value Add analytics or dashboards Use Case Examples 1\. Cart Recovery Recover lost sales automatically without manual follow-ups. 2\. Sales Team Visibility Slack alerts keep your team informed of high-value abandoned carts. 3\. Personalized Marketing AI generates human-like emails tailored to each customer. 4\. Scalable Automation Works for one store or hundreds of carts per day. Troubleshooting Guide | Issue | Possible Cause | Solution | |---------------------|------------------------------|-----------------------------------------------| | No webhook data | Webhook not connected | Verify store webhook URL | | Email not sent | Gmail not authenticated | Reconnect Gmail credentials | | Cart always skipped | IF conditions incorrect | Check item count & payment status | | AI output empty | OpenAI API issue | Verify API key and limits | | Slack alert missing | Wrong channel or token | Reconnect Slack credentials | Need Help? If you need help customizing or extending this workflow with advanced features such as adding multi-step reminders, discounts, analytics or scaling it for production, then our n8n automation experts at WeblineIndia are happy to assist you.

This n8n template demonstrates how to use AI to capture, qualify, and route inbound leads automatically from email or web forms. It extracts key business information using AI, scores the lead based on your ideal customer profile, creates CRM records, notifies your team on Slack, and logs all activity—including failures—to Google Sheets. Use cases include: automating sales inboxes, qualifying form leads for agencies or SaaS products, routing high-fit prospects to the right territory owner, and keeping your sales and ops teams aligned without manual data entry. Good to know The OpenAI model is used for lead data extraction and will incur a small cost per run depending on volume. This workflow supports either Salesforce or HubSpot as the CRM system—select which one in the configuration node. You’ll need valid credentials for Gmail (or another email service), OpenAI, Slack, Google Sheets, and your chosen CRM before running. How it works Triggers: A Gmail trigger polls for new inbound emails. A Webhook node receives submissions from any online form. Both sources merge into a single pipeline. Validation: Incoming data is checked for required fields (email or text). Invalid entries are routed to the Dead Letter Queue (DLQ) for review. AI Extraction: The OpenAI node extracts structured fields like company name, size, industry, role, region, problem statement, and budget signals from free-form text. Parsing & Scoring: The AI output is parsed, then a code node calculates a 0–100 lead score based on transparent criteria—industry, size, role, problem clarity, and budget mentions. It also assigns a lead tier (Hot, Warm, Cold, Unqualified). CRM Routing: Depending on your configuration, the workflow creates a Salesforce lead (default) or can be easily adapted for HubSpot. Territory or CRM owner routing can be extended here. Slack Notification: A rich Slack message summarizes the lead score and reasoning and includes a “Create intro email” button for quick action. Logging: All successful leads are logged to Google Sheets for reporting. Any failed or invalid leads are logged separately to the DLQ tab for auditing. How to use Configure your credentials for Gmail, OpenAI, Slack, Google Sheets, and your CRM. Open the Workflow Configuration node and fill in your target industries, buyer roles, company size, Slack channel ID, Google Sheets URL, and CRM choice. Create corresponding tabs in your Google Sheet for Leads and DLQ. Test by sending a sample email or form submission, then watch the workflow extract, score, route, and notify automatically. Requirements OpenAI account for text extraction Gmail (or other email provider) for the email trigger Slack for lead notifications Google Sheets for logging leads and DLQ entries Salesforce or HubSpot account for CRM integration Customizing this workflow This template can be expanded in many ways: Add HubSpot routing on the first Switch output. Integrate a Slack button handler to auto-generate intro emails. Add retry and backoff logic for resilience. Modify the scoring rubric in the code node to match your unique ICP. Connect additional sources, such as LinkedIn forms or landing page builders, for omnichannel lead capture.

Unleash the power of AI to automate your job search, tailor your applications, and boost your chances of landing your dream job! This comprehensive workflow handles everything from finding relevant job postings to generating personalized resumes and cover letters. Use cases are many: Automate your entire job application process:** Spend less time searching and more time preparing for interviews. Tailor your resume and cover letter for every application:** Maximize your ATS compatibility and stand out to recruiters. Efficiently track your applications:** Keep all your job search activities organized in one place. Discover new job opportunities:** Leverage the Adzuna API to find relevant listings. Good to know: Free Adzuna API:* This workflow utilizes the *free Adzuna API, making job search capabilities accessible without initial cost. OpenRouter Chat Model Costs:** AI model usage (for resume rewriting and cover letter generation) will incur costs based on the OpenRouter pricing model. Please check OpenRouter's official website for updated pricing information. Model Availability:** The AI models used may have geo-restrictions. If you encounter a "model not found" error, it might not be available in your country or region. How it works: Webhook Trigger: The workflow is initiated via a webhook, allowing you to trigger it manually or integrate it with other systems (e.g., a form submission with your desired job title and resume). Resume Extraction: Your uploaded resume (e.g., PDF) is automatically extracted into a readable text format. Job Search (Adzuna API): Using the provided job title, the workflow queries the Adzuna API to fetch relevant job postings. Job Filtering: Duplicate job listings are filtered out to ensure you receive unique opportunities. Job Info Extraction: Key details like job description, company name, and job URL are extracted from each posting. Skills Extraction (AI): An AI model (OpenRouter) analyzes the job description to identify the top skills and qualifications required. Resume Match Scoring (AI): Your resume is compared against the extracted job skills by an AI model, generating a compatibility score (1-5). Conditional Resume & Cover Letter Generation: If the resume match score is satisfactory (≥ 3): Tailored Resume Generation (AI): An AI model rewrites your resume, specifically highlighting the skills and experience most relevant to the target job, in an ATS-friendly and human-readable JSON/HTML format. Personalized Cover Letter Generation (AI): A custom cover letter is drafted by AI, uniquely tailored to the job description and your newly optimized resume, generated as well-formatted HTML. Google Sheets Integration: The generated cover letter, tailored resume, job URL, and application status are automatically updated in your designated Google Sheet for easy tracking. Gmail Notification: A personalized email containing the generated cover letter, tailored resume, and a direct link to the job posting on Adzuna is sent to your specified email address. Webhook Response: A final text response is sent back via the webhook, summarizing the sent application materials. How to use: Manual Trigger:** The workflow is set up with a manual trigger (Webhook) for initial testing and demonstration. You can easily replace this with an n8n form, a scheduled trigger, or integrate it into your existing tools. Input:** Provide your desired job search keyword and your resume (e.g., as a PDF) to the webhook. Review & Apply:** Review the AI-generated cover letter and tailored resume sent to your email, then proceed to apply for the job using the provided Adzuna link. Requirements: n8n Instance:** A running n8n instance (self-hosted or cloud). Adzuna API Key:** A free Adzuna API key (easily obtainable from their developer portal). OpenRouter Account:** For AI model access (costs apply based on usage). Google Sheets Account:** To store and track your job applications. Gmail Account:** To send automated application emails. Customizing this workflow: This workflow is highly customizable. You can: Integrate with other job boards (e.g., LinkedIn, Indeed) using their APIs. Add more sophisticated AI models or custom prompts for even finer control over resume and cover letter generation. Connect to other services for CRM, calendar management, or applicant tracking. Implement different filtering criteria for job postings. Expand the data stored in your Google Sheet (e.g., interview dates, feedback). Start automating your job search today and streamline your path to career success!

This workflow provides personalized travel destination recommendations by analyzing past trip history, user preferences, travel behavior patterns, and current trends. It uses Claude AI to generate intelligent, context-aware suggestions tailored to each traveler. How it works Receive Trip Request - Webhook captures user query with preferences and constraints Validate Input - Checks required fields, normalizes data, calculates user profile metrics Fetch Travel History - Retrieves past trips, ratings, and behavioral data from Google Sheets Analyze Patterns - Identifies travel patterns, preferred destinations, seasonal preferences Claude AI Recommendation - Generates personalized destination suggestions with reasoning Enrich with Live Data - Adds current weather, events, flight prices (optional) Store Recommendation - Saves suggestion to database with full context Send Personalized Response - Delivers recommendations via email or API response Daily Batch Updates - Scheduled job to refresh recommendations for all active users Trend Analysis - Weekly reports on popular destinations and emerging trends Setup Steps Import workflow into n8n Configure credentials: Anthropic API - Claude AI for recommendation engine Google Sheets - Trip history and user profiles SMTP / Gmail - Email notifications Weather API (optional) - Real-time weather data Flight API (optional) - Price comparisons Create Google Sheets with tabs: user_profiles - User data and preferences trip_history - Past trip records recommendations - Generated suggestions analytics - Trend analysis logs Set your API keys and sheet IDs in the configuration nodes Activate both webhook and scheduled workflows Sample Trip Request Payload { "userId": "USER-2025-1234", "userName": "Sarah Johnson", "userEmail": "sarah.j@example.com", "preferences": { "budget": "moderate", "travelStyle": "adventure", "interests": ["hiking", "local cuisine", "cultural sites"], "climate": "warm", "duration": "7-10 days", "travelMonth": "June" }, "constraints": { "maxBudget": 3000, "departureCity": "San Francisco", "companions": "solo", "accessibility": "none" }, "excludeRegions": ["visited_recently"], "prioritize": "unique_experiences" } Features AI-Powered Personalization** - Claude analyzes patterns and generates unique suggestions Behavioral Learning** - Improves over time based on trip ratings and feedback Real-Time Data Integration** - Weather, events, and pricing for recommended destinations Budget Optimization** - Suggests best value destinations within user budget Seasonal Intelligence** - Recommends optimal travel timing Trend Detection** - Identifies emerging destinations before they get crowded Multi-Factor Scoring** - Balances preferences, budget, timing, and uniqueness

Automated trend monitoring for content strategy Who's it for Content creators, marketers, and social media managers who want to stay ahead of emerging trends and generate relevant content ideas based on data-driven insights. What it does This workflow automatically identifies trending topics related to your industry, collects recent news articles about these trends, and generates content suggestions. It transforms raw trend data into actionable editorial opportunities by analyzing search volume growth and current news coverage. How it works The workflow follows a three-step automation process: Trend Analysis: Examines searches related to your topics and identifies those with the strongest recent growth Article Collection: Searches Google News for current articles about emerging trends and scrapes their full content Content Generation: Creates personalized content suggestions based on collected articles and trend data The system automatically excludes geo-localized searches to provide a global perspective on trends, though this can be customized. Requirements SerpAPI account (for trend and news data) Firecrawl API key (for scraping article content from Google News results) Google Sheets access AI model API key (for content analysis and recommendations - you can use any LLM provider you prefer) How to set up Step 1: Prepare your tracking sheet Duplicate this Google Sheets template Rename your copy and ensure it's accessible Step 2: Configure API credentials Before running the workflow, set up the following credentials in n8n: SerpAPI: For trend analysis and Google News search Firecrawl API: For scraping article content AI Model API: For content analysis and recommendations (Anthropic Claude, OpenAI GPT, or any other LLM provider) Google Sheets OAuth2: For accessing and updating your tracking spreadsheet Step 3: Configure your monitoring topics In your Google Sheet "Query" tab: Query column: Enter the main topics/keywords you want to monitor for trending queries (e.g., "digital marketing", "artificial intelligence", "sustainable fashion") Query to avoid column: Optionally add specific queries you want to exclude from trend analysis (e.g., brand names, irrelevant terms, or overly specific searches that don't match your content strategy) This step is crucial as these queries will be the foundation for discovering related trending topics. Step 4: Configure the workflow In the "Get Query" node, paste your duplicated Google Sheets URL in the "Document" field Ensure your Google Sheet contains your monitoring topics in the Query column Step 5: Customize language and location settings The workflow is currently configured for French content and France location. You can modify these settings in the SerpAPI nodes: Language (hl): Change from "fr" to your preferred language code Geographic location (geo/gl): Change from "FR" to your target country code Date range: Currently set to "today 1-m" (last month) but can be adjusted Step 6: Adjust filtering (optional) The "Sorting Queries" node excludes geo-localized queries by default. You can modify the AI agent's instructions to include location-specific queries or change filtering criteria based on your requirements. The system will also automatically exclude any queries you've listed in the "Query to avoid" column. Step 7: Configure scheduling (optional) The workflow includes an automated scheduler that runs monthly (1st day of each month at 8 AM). You can modify the cron expression 0 8 1 * * in the Schedule Trigger node to change: Frequency (daily, weekly, monthly) Time of execution Day of the month How to customize the workflow Change trend count: The workflow processes up to 10 related queries per topic but filters them through AI to select the most relevant non-geolocalized ones Adjust article collection: Currently collects exactly 3 news articles per query for analysis Content style: Customize the AI prompts in content generation nodes to match your brand voice Output format: Modify the Google Sheets structure to include additional data points AI model: Replace the Anthropic model with your preferred LLM provider Scraping options: Configure Firecrawl settings to extract specific content elements from articles Results interpretation For each monitored topic, the workflow generates a separate sheet named by month and topic (e.g., "January Digital Marketing") containing: Data structure (four columns): Query: The trending search term ranked by growth Évolution: Growth percentage over the last month News: Links to 3 relevant news articles Idée: AI-generated content suggestions based on comprehensive article analysis The workflow provides monthly retrospective analysis, helping you identify emerging topics before competitors and optimize your content calendar with high-potential subjects. Workflow limitations Processes up to 10 related queries per topic with AI filtering Collects exactly 3 news articles per query Results are automatically organized in monthly sheets Requires stable internet connection for API calls

Overview This workflow automates your entire sales outreach process across LinkedIn, Email, and WhatsApp using AI to create hyper-personalized messages for each prospect. Instead of spending hours crafting individual messages, the workflow analyzes your lead data and generates customized connection requests, emails, and WhatsApp messages that feel genuinely personal and researched. The workflow includes a built-in approval mechanism, so you can review all AI-generated messages before they're sent, ensuring quality control while still saving massive amounts of time. How It Works The workflow follows a seven-step process: Step 1: Data Collection The workflow starts by reading your lead data from a Google Sheet. Your sheet should contain information about each prospect including their name, title, company, industry, technologies they use, and any other relevant details that can be used for personalization. Step 2: Batch Processing To prevent overwhelming APIs and ensure smooth operation, the workflow processes leads in batches. Each lead's complete data is prepared and formatted for the AI agent to analyze. Step 3: AI Personalization This is where the magic happens. The AI agent receives all the prospect data and generates three distinct messages: A LinkedIn connection request (under 300 characters) that references their specific role, company, or industry A professional HTML email that demonstrates you've researched their business and explains how you can help A casual WhatsApp message that's friendly and approachable The AI is instructed to make these messages sound completely human, never generic or templated. Step 4: Data Cleanup and Storage The AI's output is parsed and cleaned up, then written back to your Google Sheet in separate columns. This creates a permanent record of all generated messages for your review. Step 5: Manual Approval Before anything gets sent, you receive an email asking for your approval. You can review all the generated messages in your Google Sheet, make any edits if needed, and then approve or reject the batch. This ensures you maintain full control over what goes out. Step 6: LinkedIn Automation Once approved, the workflow triggers your Phantombuster agent to send LinkedIn connection requests using the AI-generated messages. Phantombuster handles the actual LinkedIn interaction safely within their platform's limits. Step 7: Email and Notification Delivery Finally, the workflow sends out the personalized emails via Gmail and optionally notifies you via Telegram for each message sent. This happens sequentially to respect rate limits and maintain deliverability. Setup Requirements Before you can use this workflow, you'll need to set up several accounts and gather credentials: Essential Services: An n8n instance (cloud or self-hosted) A Google account with Google Sheets access A Gmail account for sending emails An OpenAI account with API access (for the AI agent) Phantombuster account (for LinkedIn automation) Optional Services: Telegram account and bot (for notifications) Credentials You'll Need: Google Sheets OAuth2 credentials Gmail OAuth2 credentials OpenAI API key Phantombuster API key and agent ID Telegram bot token and chat ID (if using notifications) How to Use This Workflow Initial Setup: Import this workflow into your n8n instance Add all required credentials in n8n's credential manager Create your Google Sheet with the following columns at minimum: First Name, Last Name, Title, Company Name, Personal Email, Industry, Website. Add three additional columns for output: Connection, AI Email, AI Whatsapp Message Copy your Google Sheet ID from the URL and update it in all Google Sheets nodes Open the AI Agent node and update the prompt with your personal information: your name, title, email, and LinkedIn URL Update the email addresses in the Gmail nodes to your actual email addresses Configure your Phantombuster agent for LinkedIn and add the API key and agent ID Running the Workflow: Add your lead data to the Google Sheet (you can start with just 2-3 leads for testing) Click "Execute Workflow" in n8n to start the process Wait for the AI to generate messages (this takes a few seconds per lead) Check your email for the approval request Review the AI-generated messages in your Google Sheet Reply to the approval email with your decision If approved, the workflow will automatically send LinkedIn requests, emails, and WhatsApp messages Best Practices: Start small. Process 5-10 leads at a time initially to test the quality of AI-generated messages and ensure everything works correctly. Once you're confident in the output, you can scale up to larger batches. Monitor your results. Keep track of response rates in your Google Sheet and adjust the AI prompt if certain types of messages aren't performing well. Respect rate limits. Gmail allows 100-500 emails per day depending on your account type, and LinkedIn has strict limits on connection requests (typically 100 per week through automation tools). Stay well within these limits to avoid account restrictions. Customizing This Workflow The workflow is designed to be highly customizable to fit your specific use case: Personalizing the AI Prompt: The most important customization is in the AI Agent node's prompt. You can modify it to: Emphasize different aspects of your value proposition Change the tone from formal to casual or vice versa Include specific pain points relevant to your target industry Add your company's unique selling points Adjust message length and structure Modifying the Output: You can change what the AI generates by editing the prompt. For example, you might want: Different message types (Twitter DMs instead of WhatsApp) Multiple email variations for A/B testing Follow-up message sequences Industry-specific templates Adding Features: The workflow can be extended with additional nodes: Add time delays between sends to appear more natural Include condition checks to segment leads by industry or company size Connect to your CRM to automatically log activities Add sentiment analysis to filter out negative-sounding messages Implement response tracking by monitoring your inbox Changing Tools: If you prefer different services, you can swap out nodes: Replace Phantombuster with other LinkedIn automation tools Use SendGrid or Mailgun instead of Gmail for higher volume Add Slack notifications instead of Telegram Connect to WhatsApp Business API for official messaging Data Source Alternatives: Instead of Google Sheets, you could: Connect directly to your CRM (HubSpot, Salesforce, Pipedrive) Use Airtable as your database Pull data from CSV files uploaded to cloud storage Integrate with lead generation tools like Apollo or Hunter Tips for Success The quality of your AI-generated messages depends heavily on the data you provide. The more information you have about each prospect (their role, company size, technologies used, recent news, pain points), the more personalized and effective the messages will be. Regularly review and refine your AI prompt based on the responses you're getting. If prospects aren't responding, your messages might be too sales-focused or not personal enough. Adjust the prompt to make messages feel more consultative and helpful. Don't send to your entire list at once. Even with approval gates, it's wise to test with small batches, measure results, iterate on your approach, and then scale up gradually. Always comply with email and LinkedIn best practices. Never spam, always provide value in your outreach, respect people's time and privacy, and make it easy for them to opt out if they're not interested. This workflow is a powerful tool that can save you hours of work while actually improving the quality of your outreach through AI-powered personalization. Use it responsibly and watch your response rates improve.

Description Automatically convert any video URL into a fully structured, publish-ready SEO blog post using WayinVideo AI transcription, GPT-4o-mini, and Google Sheets — zero manual writing required. What This Workflow Does This workflow takes a single video URL and does everything for you. It transcribes the video using WayinVideo — a powerful multilingual video transcription API that accurately converts spoken content into clean, structured text — then passes that transcript to an AI Agent that writes a complete SEO blog post with title, meta description, slug, sections, FAQs, key takeaways, and tags. The final output is saved directly as a draft row in Google Sheets, ready for review and publishing. Perfect for content marketers, YouTubers, agencies, and SEO teams who want to repurpose video content at scale without touching a keyboard. Key Features AI-powered transcription via Wayin: Uses the WayinVideo API to transcribe any video URL into clean, timestamped text segments with word count and duration metadata — supporting multilingual content. Smart polling loop: Automatically polls Wayin every 5 seconds until transcription is complete — no manual waiting or webhook setup needed. Structured SEO output: GPT-4o-mini generates a complete blog post with H2 sections (300+ words each), meta description (155 chars), URL slug, focus keyword, secondary keywords, FAQs, and a CTA conclusion. Strict JSON schema enforcement: A Structured Output Parser validates every AI response — no broken outputs, no missing fields. Google Sheets auto-logging: Every blog post is instantly saved as a draft row with date, video URL, word count, read time, tags, and status. Webhook-triggered: Works as part of any larger pipeline — trigger it from Make, Zapier, or your own frontend. How It Works Receive Video URL — Webhook accepts a POST request with {"url": "your-video-link"} Submit Transcription — Wayin — Sends the video URL to WayinVideo API to start English transcription job Poll Transcription Status — Fetches job status using the transcription ID every 5 seconds Wait 5 Seconds — Pauses execution between each poll attempt to avoid rate limits Is Transcription Complete? — IF status = SUCCEEDED → move forward, ELSE → re-poll Process Transcript Data — Joins all text segments, calculates word count and video duration Generate SEO Blog Post — AI Agent (GPT-4o-mini) writes the full structured blog post Parse Blog JSON Output — Enforces strict JSON schema and auto-fixes any format issues Save to Google Sheets — Appends all blog fields as a new draft row Return Success Response — Sends confirmation back to the webhook caller Setup Requirements Tools you'll need: Active n8n instance (self-hosted or n8n Cloud) WayinVideo account + API key (for video transcription) OpenAI API key (GPT-4o-mini for blog generation) Google Sheets with OAuth access (for draft storage) Estimated setup time: 10–15 minutes Configuration Steps 1. Add credentials in n8n: OpenAI API key Google Sheets OAuth API 2. Add your WayinVideo API Key: Open Submit Transcription — Wayin node → replace YOUR_WAYIN_API_KEY in the Authorization header Open Poll Transcription Status node → replace YOUR_WAYIN_API_KEY in the Authorization header 3. Set up your Google Sheet: Create a sheet with these exact column headers: Date | Video URL | SEO Title | Slug | Focus Keyword | Meta Description | Secondary Keywords | Read Time | Tags | Word Count | Duration (min) | Status 4. Update Sheet Document ID: Open Save to Google Sheets node Replace YOUR_GOOGLE_SHEET_DOCUMENT_ID with your actual Sheet ID (found in the Google Sheet URL) 5. Test the workflow: Activate the workflow Send a POST request to your webhook URL: POST https://your-n8n-domain/webhook/43129e0a-... Body: {"url": "https://youtube.com/watch?v=example"} Check your Google Sheet for the new draft row Use Cases Content marketers: Repurpose every YouTube video, webinar, or podcast episode into an SEO blog post automatically — 10x your content output without extra writing. SEO agencies: Generate first-draft blog posts for clients from recorded calls, demos, or training videos in minutes. Course creators: Turn every lesson or tutorial video into a standalone blog post to drive organic search traffic. YouTubers & podcasters: Build a content library of written posts from existing video content with zero extra effort. Customization Options Change the AI model: Replace gpt-4o-mini with gpt-4o or gpt-4-turbo in both OpenAI nodes for higher quality output on complex topics. Add WordPress publishing: Connect a WordPress REST API node after Save to Google Sheets to auto-publish instead of saving as draft. Change output language: Modify the WayinVideo API target_lang parameter and GPT system prompt to generate blog posts in any language. Adjust blog structure: Edit the system prompt in Generate SEO Blog Post to change section count, word targets, tone, or add custom fields like author bio or schema markup. Add Slack/email notifications: Insert a Slack or Gmail node after Return Success Response to notify your team when a new draft is ready. Troubleshooting Transcription stuck in polling loop: Check your WayinVideo API key is valid and the video URL is publicly accessible. Private or age-restricted videos may fail. AI output missing fields: The Structured Output Parser auto-fixes most issues. If errors persist, add explicit field instructions to the GPT system prompt. Google Sheets not updating: Verify OAuth credentials are connected and the Sheet Document ID is correct (not the full URL, just the ID string between /d/ and /edit). Webhook not triggering: Make sure the workflow is activated (toggle ON) before sending test requests. Test mode webhooks use a different URL than production. Resources WayinVideo — Transcription API n8n Documentation OpenAI API Reference Google Sheets API Support Need help setting up or want a custom version built for your use case? 📧 Email: info@isawow.com 🌐 Website: https://isawow.com/

Meeting Minutes & Action Item Tracker Fully automated meeting documentation workflow that uses AI to transform raw transcripts into professional PDFs and actionable tasks. Features AI-powered summary generation (GPT-4) Automatic action item extraction with assignees, deadlines, and priorities Professional PDF generation with custom styling Multi-channel distribution (Email, Slack, Google Drive) Task creation in Google Tasks Personalized notifications to each assignee Deadline tracking and urgency detection Setup Instructions REQUIRED CREDENTIALS: OpenAI API - Get from Gmail OAuth2 - Connect your Google account Google Drive OAuth2 - Same Google account Google Tasks OAuth2 - Same Google account Slack OAuth2 - Connect your workspace htmlcsstopdf API - Get from CONFIGURATION STEPS: WEBHOOK: Note your webhook URL after activation EMAIL NODES: "Email All Participants": Uses participants array from input "Send Individual Task Emails": Change @yourcompany.com to your domain GOOGLE DRIVE: Select folder where PDFs should be stored Recommended: Create "Meeting Minutes" folder SLACK: Select channel for team notifications Recommended: Create #meeting-notes channel GOOGLE TASKS: Select task list where tasks should be created Default list works fine TESTING: Use the webhook URL with sample meeting data Check execution log for any errors Verify PDF in Google Drive Check emails were sent Confirm tasks created in Google Tasks Example Input Format POST : Headers: Content-Type: application/json Body: { "title": "Weekly Team Standup", "date": "2025-09-29", "participants": [ "john@company.com", "sarah@company.com", "joe@company.com" ], "duration": "30 minutes", "transcript": "John started the meeting by discussing the progress on the API development. Sarah mentioned that she's working on the dashboard and needs to prepare mockups by Thursday. The team agreed that Sarah will review the API documentation before the client demo on Friday. Akshita confirmed she finished the database schema redesign and needs to schedule a meeting with DevOps team by next Monday to discuss production deployment." } This will generate: Professional PDF with summary and action items Emails to all participants Individual task emails to John, Sarah, and Joe Tasks in Google Tasks Slack notification Output After execution, you'll get: Professional PDF stored in Google Drive Email sent to all participants with meeting overview Individual emails to each assignee with their tasks Slack notification with summary and download link Tasks created in Google Tasks with deadlines CUSTOMIZATION: Modify PDF styling in "Generate PDF Document" node Adjust email templates in Gmail nodes Change AI prompts in OpenAI nodes for different output Modify priority/deadline logic in "Parse and Enrich Data" Troubleshooting Workflow stops at validation: Ensure transcript has >50 words Check that webhook payload is correctly formatted No PDF generated: Verify htmlcsstopdf API credentials Check API usage limits Tasks not created: Verify deadline format is YYYY-MM-DD Check Google Tasks API connection Emails not sending: Confirm Gmail OAuth2 is connected Check that email addresses are valid Support For issues or questions, visit the n8n community forum. License MIT License - Feel free to modify and share!

Automated Pre-Issued Workshop Certificate Generator Description: This workflow automates the entire pre-issuance process of workshop participation certificates. When an attendee submits a registration form via a webhook, the workflow validates the data, verifies the attendee’s email, generates a unique Certificate ID and QR code, creates a styled certificate image, stores it on Google Drive, emails the certificate to the attendee, logs all details in Google Sheets, and notifies organizers via Slack — all fully automated. This template is ideal for institutions, event teams, training organizations, hackathons, and workshops that want to automate certificate issuing and remove manual processing. Key Features: Webhook-based registration intake** Required field + email validation using VerifiEmail API** Auto-generated Certificate ID, QR code, and verification URL** Dynamic HTML-to-Image certificate generation** Automatic email delivery with certificate attachment (Gmail)** Auto-upload certificate to Google Drive** Real-time Slack notification for organizers** Registration + certificate logging in Google Sheets** Instant webhook response with certificate metadata** How It Works (Short Summary): Webhook Trigger receives registration details. Validator checks for mandatory fields (name, email, event). Email verification ensures the email is deliverable. Certificate generation creates unique ID + QR + HTML. HTML-to-Image converts the certificate to PNG. Upload to Google Drive stores the certificate file. Email node sends the certificate to the attendee. Google Sheets logs the registration + certificate details. Slack message notifies organizers instantly. Webhook response returns success JSON. Use Cases: Workshops Webinars Training sessions Bootcamps Corporate events Hackathons Student registrations Event ticketing / entry pass systems Required Credentials: VerifiEmail API** – email validation at verifi.email HTMLCSStoImage API** – convert certificate HTML to PNG at htmlcsstoimg.com Gmail OAuth2** – send certificate emails Google Drive OAuth2** – store certificate files Google Sheets OAuth2** – logging Slack API** – organizer notifications Setup Instructions: Import this template into your n8n instance. Open the Webhook node and copy the generated webhook URL. Use this URL in your registration form / frontend / Postman. Add all required credentials in the Credentials Manager. Customize certificate HTML (colors, branding, logos) if needed. Test with a sample POST request containing all required fields: name email event date time venue organization designation Enable the workflow. Input Format (POST Body Required): { "name": "John Doe", "email": "john@example.com", "event": "AI Workshop 2025", "date": "25 Nov 2025", "time": "10:00 AM", "venue": "Auditorium Hall", "organization": "Tech University", "designation": "Student" } Output (Webhook Response): { "success": true, "message": "Registration successful! Certificate sent to your email.", "certificateId": "CERT-12345-ABCD", "verifyUrl": "https://workshopverify.com/cert?id=CERT-12345-ABCD" } Why This Workflow is Useful: Eliminates manual certificate design & sending Ensures professional, consistent certificates Reduces event staff workload Guarantees accurate data logging Provides instant attendee confirmation Enhances event experience with automation

🦷 Dental Clinic Appointment Booking System (n8n) This project is an automated appointment booking system for a dental clinic, built using #n8n. It helps streamline clinic operations by checking availability, creating events in Google Calendar, and sending email notifications to both the doctor and the patient. ✨ Features ✅ Check available slots before booking ✅ Create event in Google Calendar after patient confirmation ✅ Send email notification to the Doctor with appointment details ✅ Send email confirmation to the Patient with their booking details ✅ Unique Appointment ID generation for every booking 🚀 Live Demo https://devsabirul.github.io/Dental-Clinic-Receptionist-N8n/ 🛠 Tech Used n8n.io (Automation Platform) Google Calendar API (Manage bookings) SMTP / Gmail (Send email notifications) 📂 Workflow Setup Import Workflow JSON In n8n, go to Workflows → Import from File. Set Credentials Configure Google Calendar API Credentials in n8n. Configure Email SMTP / Gmail Credentials for sending emails. Update Clinic Info Replace placeholder Doctor’s email with the real email. Customize messages (email subject, body). 📧 Example Email Sent To Doctor: New Appointment Booked Patient: John Doe Phone: +123456789 Email: john@example.com Date: 31st August 2025 Time: 2:15 PM Appointment ID: APT-20250831-ABCD12 To Patient: Hello John Doe, Your appointment has been successfully booked. 📅 Date: 31st August 2025 🕒 Time: 2:15 PM 📍 Appointment ID: APT-20250831-ABCD12 Thank you, Dental Clinic 📌 Tags #n8n #automation #dentalclinic #calendar #appointment 🙌 Author 👨‍💻 Developed by MD Sabirul Islam

One-Line Description Automatically detects missed Zoom demos booked via Calendly and triggers AI-powered follow-up sequences. Detailed Description What it does: When a prospect books a demo through Calendly but fails to join the Zoom meeting, this workflow automatically detects the no-show, generates personalized recovery messages using AI, updates your database, and notifies your sales team—all within minutes of the meeting ending. It bridges Calendly, Zoom, and your follow-up channels to ensure no lead falls through the cracks. Who it's for: Sales teams** running high-volume demo calendars who lose 20-40% of booked meetings to no-shows Customer success managers** conducting onboarding calls where attendance tracking matters SDRs and BDRs** who need immediate alerts when prospects miss scheduled meetings Revenue operations teams** seeking to improve demo-to-opportunity conversion rates through faster follow-up Key Features: Real-time no-show detection** - Automatically checks Zoom participant lists against expected attendees within seconds of meeting end AI-generated recovery messaging** - Creates contextual, empathetic follow-up emails and LinkedIn messages tailored to each no-show scenario Instant team notifications** - Sends formatted Slack alerts with attendee details and suggested next actions so reps can manually follow up if needed Attendance tracking database** - Maintains a searchable record of all bookings and attendance status for reporting and analysis Multi-channel follow-up orchestration** - Coordinates email, Slack notifications, and optional CRM updates from a single automation Selective event filtering** - Processes only specific Calendly event types so you control which meetings trigger the workflow How it works: Booking capture: Calendly webhook fires when a demo is scheduled, extracting Zoom meeting details and attendee information Meeting monitoring: When the Zoom meeting ends, a second webhook triggers attendance verification by pulling the participant list from Zoom's API No-show identification: Workflow cross-references the expected attendee email with actual Zoom participants to confirm whether they attended Automated response: For confirmed no-shows, AI generates personalized recovery messages while the system updates your database and notifies your team via Slack Optional integrations: Simultaneously updates CRM deal stages or triggers additional follow-up sequences based on your configuration Setup Requirements Prerequisites: Calendly account** (any paid plan) with webhook access and Personal Access Token Zoom account** (Pro or higher) with Server-to-Server OAuth app credentials for API access OpenAI API key** for AI-generated follow-up message creation Slack workspace** with OAuth permissions to post messages (optional but recommended) n8n Data Table** created with columns: meeting_id, email, status (built-in n8n feature, no external database needed) Email sending service** configured in n8n (SMTP, Gmail, SendGrid, etc.) if enabling automated email sending CRM API access** (HubSpot, Salesforce, Pipedrive, etc.) if enabling deal updates (optional) Note: Zoom API has rate limits (varies by plan); this workflow makes 1-2 API calls per meeting end event. Estimated Setup Time: 45-60 minutes including Zoom app creation, Calendly webhook configuration, and Data Table setup Installation Notes Critical setup steps: Zoom webhook validation**: You must complete Zoom's webhook endpoint validation process before receiving real events. The workflow includes a dedicated validation path—run it once after creating your Zoom app. Calendly webhook creation**: Use the "Manual Setup Trigger" path in the workflow to programmatically create your Calendly webhook subscription. This only needs to run once. Event type filtering**: Replace the placeholder YOUR_CALENDLY_EVENT_TYPE_URI with your specific demo event type URI from Calendly to avoid processing all meeting types. Test with a real meeting**: Book a test demo, join briefly with a different email than the booking email, then leave. The workflow should detect the "no-show" for the booking email. Common pitfalls to avoid: Forgetting to enable the disabled "Send Recovery Email" node after testing (it's disabled by default to prevent accidental sends during setup) Not configuring Zoom Server-to-Server OAuth correctly (requires Account ID, Client ID, and Client Secret—not JWT credentials) Using a personal Calendly account instead of an organization account (webhooks require organization-level access) Overlooking the Data Table creation step—the workflow will fail without this internal database Testing recommendations: Start with Slack notifications only (leave email sending disabled) to verify the workflow logic Use your own email as a test booking to safely generate AI messages without sending to real prospects Check the Data Table after each test to confirm booking records are being created and updated correctly Customization Options Easy modifications: Swap email for SMS**: Replace the email node with Twilio SMS to send text message follow-ups instead Add delays**: Insert "Wait" nodes to schedule follow-ups hours or days later rather than immediately Change AI tone**: Modify the OpenAI prompt to match your brand voice (casual, formal, humorous, etc.) Multi-step sequences**: Duplicate the AI and email nodes to create a 3-touch follow-up cadence over several days Different CRM platforms**: The HubSpot node can be swapped for Salesforce, Pipedrive, or any CRM n8n supports Extension possibilities: Add Google Sheets logging for executive dashboard reporting on no-show rates Integrate with Calendly's rescheduling API to automatically send rebooking links Connect to Loom or Vidyard APIs to attach pre-recorded demo videos in follow-up emails Create a "second chance" discount workflow that offers incentives for rescheduling Build a predictive model by exporting no-show data to analyze patterns (time of day, lead source, etc.) Category Sales Tags calendly zoom no-show-recovery demo-automation lead-follow-up sales-automation meeting-tracking ai-messaging slack-notification openai Use Case Examples SaaS sales team**: A B2B software company runs 40+ demos per week. When prospects no-show, this workflow immediately notifies the assigned rep in Slack with a pre-written LinkedIn message, sends an empathetic recovery email offering a Loom recording alternative, and flags the deal in HubSpot for manual outreach within 2 hours. Agency onboarding**: A marketing agency conducts discovery calls with new clients. If a client misses their scheduled kickoff meeting, the workflow logs the no-show, updates the client status in their CRM, and sends a friendly rescheduling email with three alternative time slots—all before the account manager even notices. Customer success**: A customer onboarding team tracks training session attendance. When users don't join their scheduled implementation calls, the workflow automatically sends a resource-rich email with documentation links, notifies the CSM team channel, and schedules a follow-up task in their project management tool.