Workflow Templates

This template can be used to verify an email address with Icypeas. Be sure to have an active account to use this template. How it works This workflow can be divided into three steps : The workflow initiates with a manual trigger (On clicking 'execute'). It connects to your Icypeas account. It performs an HTTP request to verify an email address. Set up steps You will need a working icypeas account to run the workflow and get your API Key, API Secret and User ID. You will need an email address to perform the verification.

Zoho CRM - Smart Meeting Scheduler This workflow automatically schedules meetings for new Zoho CRM leads by detecting their timezone, checking the sales rep’s Google Calendar, generating conflict-free time slots, creating a Zoom meeting and sending a personalized AI-generated email to the lead. If no slots are available, it sends a fallback message to the lead without updating Zoho CRM. When a meeting is created, all details are logged inside Zoho CRM for visibility. ⚡ Quick Implementation Steps (Fast Start Guide) Import the workflow JSON into n8n. Configure Zoho CRM, Google Calendar, Gmail, Zoom OAuth and Gemini AI credentials. Update meeting duration, working hours, buffer time and search window. Set email recipient to the lead’s email instead of test/static values. Add the webhook URL to Zoho CRM → Automation → Webhooks. Test with a new lead and activate the workflow. 📘 What It Does This workflow automates scheduling for new Zoho CRM leads. As soon as a lead is created, it retrieves full lead and owner details, detects the lead’s timezone and checks the assigned sales rep’s upcoming Google Calendar events. This helps identify when the rep is available. Using your settings—working hours, meeting duration, buffer before/after and days to evaluate—the system generates valid meeting time slots with no conflicts. If suitable slots exist, it authenticates with Zoom and creates a meeting for the earliest option, then generates a polished HTML invitation using Gemini AI and emails it to the lead. This ensures a fast, smart and personalized lead engagement process. If no slots exist, the workflow sends a fallback email informing the lead that no availability is open in the next few days. In this branch, Zoho CRM is not updated, because no meeting was scheduled. 🎯 Who’s It For This workflow is perfect for: Sales teams managing high inbound volume CRM managers automating lead qualification & engagement SaaS companies scheduling demos automatically Agencies booking consultation calls Any team struggling with timezone-based scheduling manually 🔧 Requirements to Use This Workflow Platform Requirements n8n (Cloud or self-hosted) Required Integrations Zoho CRM OAuth2 Google Calendar OAuth2 Gmail OAuth2 Zoom OAuth (account-level) Gemini AI / Google PaLM API Required Lead Fields Email (mandatory for sending the invite) Country / State (for timezone detection) Lead Owner (to fetch rep details) 🔄 How It Works Zoho CRM Webhook triggers when a new lead is created. Workflow fetches full lead and owner details. Detects the lead’s timezone using country/state mapping. Fetches the sales rep’s availability from Google Calendar. Generates valid time slots based on working hours, buffers and meeting duration. If slots exist: Authenticate with Zoom Create a Zoom meeting Generate personalized HTML invite using Gemini AI Send email to the lead Log meeting details in Zoho CRM If no slots exist: Generate fallback message Send fallback email to the lead (Zoho CRM is NOT updated in this path) 🛠️ Setup Steps (Configuration Guide) 1. Import Workflow Go to: n8n → Workflows → Import and upload the JSON file. 2. Add Required Credentials Configure the following inside n8n: Zoho CRM OAuth Google Calendar OAuth Gmail OAuth Zoom OAuth Gemini AI API key 3. Update Workflow Configuration Node Set: Meeting duration Buffer before/after Working hours Days to look ahead Default meeting provider (Zoom) 4. Fix Email Recipient In Send Meeting Invite node, set: sendTo = {{$('Detect Lead Timezone').item.json.Email}} yaml Copy code 5. Update Google Calendar Email/ID Ensure the calendar ID matches the sales rep’s Google Calendar. 6. Add Webhook in Zoho CRM Navigate to: Setup → Automation → Webhooks → Create Webhook → Lead Created Paste the webhook URL from n8n. 7. Test the Automation Verify: Correct timezone detection Calendar availability check Zoom meeting creation AI email sent to the lead Zoho CRM updated only when meeting is created 8. Activate Workflow Enable the workflow for live operation. 🧩 How To Customize Nodes 1. Adjust Meeting Logic Modify the Workflow Configuration node to change: Slot duration Buffer time Working hour ranges Days to consider 2. Expand Timezone Detection Edit the Detect Lead Timezone node to add new countries/states. 3. Personalize Email Content Update the prompt inside the Generate Personalized Invite node. 4. Add New Regions Duplicate timezone logic for new regions (Australia, Middle East, etc.) 5. Replace Zoom Swap Zoom with Google Meet, Microsoft Teams or Zoho Meeting. ➕ Add-Ons (Optional Enhancements) Auto-book calendar events when lead confirms a slot WhatsApp notifications via Twilio or Gupshup Slack/Email internal alerts for reps Follow-up reminder emails Log lead activity to Google Sheets Attach downloadable ICS calendar file 💼 Use Case Examples SaaS demo scheduling Consultation & discovery calls Global timezone-based sales teams Onboarding/support calls Event follow-up scheduling (And many more…) 🩻 Troubleshooting Guide | Issue | Possible Cause | Solution | |-------|----------------|----------| | Lead not receiving email | Gmail OAuth expired / wrong email field | Reconnect Gmail OAuth & fix sendTo value | | Wrong time slots | Incorrect timezone detection | Update mapping in Detect Lead Timezone | | Zoom meeting not created | Invalid/expired Zoom OAuth | Reconnect Zoom credentials | | CRM not updated after fallback email | Expected behavior | No CRM update when slots don’t exist | | Workflow not triggering | Missing Zoho webhook | Re-add webhook | | Empty AI email | Gemini key incorrect | Reconfigure Gemini credentials | 🤝 Need Help? If you want assistance setting up, customizing or extending this workflow, the n8n automation team at WeblineIndia is here to help. We specialize in: Advanced automation workflows Multi-timezone scheduling systems CRM-integrated AI communication Custom Zoho + n8n development End-to-end automation architecture 👉 Contact WeblineIndia for expert workflow development and enhancements.

This n8n template demonstrates how to build a complete AI-powered content pipeline that pulls fresh news from RSS feeds, transforms it into engaging Medium articles. Categories Content Creation AI Automation Publishing Social Media Share Yes, this n8n workflow is straight FIRE for content creators who want to automate their entire publishing game! 🔥 This template creates a complete content pipeline that pulls fresh tech news from RSS feeds, transforms it into engaging Medium articles using AI, generates matching cover images, and handles the entire approval-to-publishing process through Slack integration. Good to know Uses multiple AI models (Groq, Google Gemini) for content generation Integrates with Medium publishing API for automated posting Includes smart duplicate checking via Google Sheets Generates professional cover images using Pollinations AI Full Slack approval workflow with human oversight Automatic storage and organization in Google Drive How it works RSS Content Fetching Pulls fresh content from The Verge, TechCrunch, and Ars Technica RSS feeds on a 6-hour schedule Smart filtering ensures only new, unposted articles are processed AI Content Generation Groq and Google Gemini models transform RSS content into engaging Medium-style articles Automatic image prompt generation creates relevant cover visuals Pollinations AI generates professional marketing-style images Smart Review & Approval Creates Google Doc with formatted article for easy review Sends preview to Slack channel/DM for human approval Waits for explicit approval before publishing Multi-Platform Publishing Auto-publishes to Medium upon approval Sends formatted content via Gmail Stores everything in Google Drive for archiving Updates Google Sheets to prevent duplicates Rejection Handling Clean rejection notifications via Slack No publishing if content doesn't meet standards Key Features That'll Blow Your Mind Zero-Duplicate Publishing**: Smart Google Sheets integration tracks all published content Human-in-the-Loop**: Slack approval system keeps quality control tight Full AI Pipeline**: From RSS parsing to image generation, everything's automated Multi-Source Content**: Aggregates from top tech news sources Professional Formatting**: Articles come out Medium-ready with proper structure Cloud Storage**: Everything gets archived in Google Drive automatically Email Distribution**: Auto-sends content to your mailing list How to use Clone this workflow and connect your credentials Set up your Google Sheets tracking document Configure Slack notifications for your approval channel Add your Medium API credentials for publishing The schedule trigger runs every 6 hours, but you can adjust timing Manual trigger available for testing and one-off runs Requirements Google Workspace**: Sheets, Docs, Drive, Gmail access Slack Workspace**: For approval notifications and review Groq API**: For AI content generation Google Gemini API**: For image prompt creation Medium API**: For automated publishing Pollinations**: Free AI image generation (no API key needed) Customizing this workflow This isn't just another automation—it's your new content creation superpower. Here's how to make it yours: Switch RSS Sources**: Replace tech feeds with your niche (finance, health, etc.) Modify AI Prompts**: Adjust the content generation style to match your brand voice Change Publishing Destinations**: Swap Medium for WordPress, Ghost, or other platforms Add More Approval Steps**: Include multiple reviewers or different approval criteria Customize Image Generation**: Modify prompts for different visual styles Schedule Flexibility**: Adjust timing from 6 hours to daily, weekly, whatever fits Pro Tips: The workflow includes comprehensive error handling and logging Sticky notes provide detailed documentation for each section Modular design makes it easy to swap components Built-in duplicate prevention saves you from embarrassing reposts This template is perfect for content creators, digital marketers, tech bloggers, and anyone who wants to scale their content game without losing quality control. It's like having a full content team working 24/7, but smarter and way more consistent. Use cases that work incredibly well: Tech blog automation for agencies News aggregation and commentary sites Personal brand content scaling Client content creation workflows Multi-platform publishing systems

📧 Analyze, classify, and summarize emails using RAG (automatic taxonomy learning) This workflow automatically reads incoming Gmail messages, analyzes them using AI with a retrieval-augmented classification system (RAG), organizes emails into structured categories, stores results in Google Sheets, and even generates an audio summary sent directly to Telegram. ⚙️ How It Works The workflow creates an intelligent email processing pipeline combining Gmail, OpenAI, vector embeddings, and Google Sheets to continuously learn and improve email categorization accuracy. Email Trigger The workflow starts automatically whenever a new email arrives in Gmail using the Gmail Trigger node. Email Extraction & Cleaning The full email content, sender information, subject, and timestamp are retrieved and normalized. HTML formatting is removed so the AI receives clean text data. Knowledge Base Loading (RAG) Email tagging examples stored in a Google Sheets document are loaded and converted into embeddings. These examples act as the official taxonomy for categories and subcategories. Vector Store Creation The workflow builds an in-memory vector database containing historical tagging samples. This allows semantic similarity search during classification. AI Analysis Agent An OpenAI-powered AI Agent performs multiple tasks in a single step: Summarizes the email (short paragraph) Creates a one-line short message Classifies the email using retrieved vector examples Extracts keywords Assigns confidence score Detects whether a new category or subcategory was created The agent strictly prioritizes retrieved taxonomy examples to maintain consistent labeling. Structured Data Storage Processed email data — including summary, category, keywords, and metadata — is appended to a Google Sheets log, creating a searchable email intelligence database. Self-Learning Taxonomy If the AI determines a new category or subcategory is required: The new label is automatically added to the tagging samples sheet An admin notification is sent via Telegram This allows the system to evolve over time. Audio Summary Generation The summarized email text is converted into speech using OpenAI audio generation. Telegram Notification The generated audio summary is automatically delivered to Telegram, allowing quick email review without reading. 🧩 Features ✅ Fully automated Gmail monitoring ✅ Retrieval-Augmented Generation (RAG) email classification ✅ Consistent taxonomy enforcement via vector similarity ✅ Automatic keyword extraction & confidence scoring ✅ Self-updating category knowledge base ✅ Google Sheets email database ✅ AI-generated voice summaries ✅ Telegram admin notifications ✅ Continuously improving classification accuracy 🚀 Setup Steps 1. Required Accounts Google account (Gmail + Google Sheets) OpenAI API account Telegram Bot n8n instance (Cloud or Self-hosted) 2. Configure Credentials in n8n Create the following credentials inside n8n: Gmail OAuth2 – used by Gmail Trigger and message retrieval Google Sheets OAuth2 – for email storage and taxonomy dataset OpenAI API – for embeddings, AI analysis, and audio generation Telegram API – for sending notifications and audio summaries 3. Prepare Google Sheets Sheet 1 — Email Log date email name subject summarized text category subcategory keywords Sheet 2 — Tagging Samples (Knowledge Base) id subject email_text category subcategory keywords This sheet acts as the classification training reference used by the vector store. 4. Configure Telegram Create a Telegram bot using BotFather Copy the bot token into n8n credentials Replace the chatId value with your Telegram user or group ID 5. Connect OpenAI Add your OpenAI API key Ensure access to chat models and embeddings No additional configuration required 6. Activate the Workflow Enable the workflow Send a test email to your Gmail inbox Verify that: Email appears in Google Sheets Categories are assigned Audio summary arrives in Telegram 💡 Recommended Usage Email triage automation Customer support inbox classification Sales lead categorization Personal productivity systems AI-assisted knowledge management 🧠 Architecture Notes This workflow uses a Retrieval-Augmented Generation (RAG) pattern inside n8n by combining Google Sheets as a lightweight knowledge base with an in-memory vector store. Instead of relying purely on model reasoning, classification decisions are grounded in previously approved examples, producing stable and explainable categorization. Over time, the workflow becomes smarter as new categories are automatically added, effectively turning your inbox into a continuously learning AI system.

SignSnapHome to Multi-CRM Auto Follow-up: Complete Real Estate Open House Automation Transform Your Open House Leads into Clients with Zero Manual Work Are you tired of manually entering open house visitor information into your CRM? Losing hot leads because you didn't follow up fast enough? This powerful n8n workflow automatically syncs every SignSnapHome open house sign-in to three major real estate CRMs and executes a customizeable 7-day follow-up sequence via email and SMS. Setup Video Here 🎯 What This Workflow Does This automation creates a complete, hands-free lead nurturing system for real estate agents using SignSnap Home for open house visitor management. Every time someone signs in at your open house, this workflow: Instantly captures all visitor data from SignSnap Home via webhook Intelligently scores each lead based on agent status and property interest Automatically syncs contact information to three CRMs simultaneously: HubSpot - For marketing automation and pipeline management Follow Up Boss - For real estate-specific lead management Monday.com - For team collaboration and task tracking Logs everything to Google Sheets for complete audit trail and reporting Sends personalized follow-ups over 7 days for qualified leads: Day 0: Immediate thank you email Day 2: SMS text message check-in Day 5: Market update email with consultation offer Day 7: Automatic task created in HubSpot for agent to call 🔥 Key Features Smart Lead Qualification Not all open house visitors are equal. This workflow automatically identifies qualified leads who receive the full follow-up sequence: ✅ Visitors who don't currently have a real estate agent ✅ Visitors who have an agent but haven't signed a buyer agreement Leads who already have representation get the basic treatment (thank you email + CRM sync) to respect existing relationships while still capturing their information for future opportunities. Multi-CRM Distribution Why limit yourself to one CRM? This workflow syncs to three platforms simultaneously: HubSpot**: Creates/updates contacts with full lead scoring and property visit history Follow Up Boss**: Adds leads with source attribution and detailed notes Monday.com**: Creates board items for team visibility and collaboration Complete Activity Tracking Every touchpoint is logged to Google Sheets across three tabs: Lead Master Log**: Complete record of every visitor with lead scores and qualification status Follow-up Activity**: Timestamp of every email, SMS, and task created Errors**: Captures any visitors without email addresses for manual follow-up TCPA-Compliant SMS Follow-up Automated SMS messaging via Twilio includes: Proper consent tracking (via open house sign-in) "Reply STOP to unsubscribe" compliance footer Personalized messaging based on agent status Complete activity logging for audit trail 💼 Perfect For Real Estate Agents** using SignSnap Home for open house management Real Estate Teams** who need centralized lead tracking across multiple CRMs Brokerages** wanting to standardize follow-up processes across agents Property Marketing Teams** managing multiple open houses simultaneously 🛠️ What You'll Need Required Accounts & Credentials: SignSnapHome account with webhook integration enabled HubSpot account (Free or paid tier) with API access Follow Up Boss account with API key Monday.com account with API token Twilio account with SMS-enabled phone number SMTP Email service (Gmail, SendGrid, etc.) Google Sheets with OAuth2 access Technical Requirements: Active n8n instance (cloud or self-hosted) Basic familiarity with n8n workflows 30 minutes for initial setup and credential configuration 📊 Lead Scoring Algorithm This workflow includes intelligent lead scoring to help you prioritize follow-up: Base Score: 50 points Scoring Adjustments: No real estate agent: +30 points (HOT lead!) Property rating 4-5 stars: +20 points Property rating 1-2 stars: -20 points No buyer agreement signed: +10 points Lead Status Categories: 70-100 points**: HOT 🔥 50-69 points**: WARM 40-49 points**: OPEN 0-39 points**: COLD The Day 7 follow-up task is automatically prioritized as HIGH for leads scoring 70+ points. 🚀 Setup Overview Step 1: Import Workflow Download this workflow JSON and import it into your n8n instance. Step 2: Configure Credentials Set up authentication for all seven services: HubSpot OAuth2 or API Token Follow Up Boss HTTP Basic Auth (API key as username) Monday.com API Token Twilio API credentials SMTP email settings Google Sheets OAuth2 Step 3: Create Google Sheets Structure Create one Google Sheet with three tabs: Tab 1: "Lead Master Log" Timestamp First Name Last Name Email Phone Property Lead Score Lead Status Has Agent Buyer Agreement Qualifies for Follow-up Source Tab 2: "Follow-up Activity" Timestamp Contact Email Contact Name Activity Type Message Property Success Notes Tab 3: "Errors" Timestamp Guest Name Property Phone Error Reason Step 4: Update Placeholders Replace these values in the workflow nodes: YOUR_GOOGLE_SHEET_ID_HERE - Your Google Sheet ID (or select manually) YOUR_EMAIL@DOMAIN.COM - Your from email address YOUR_TWILIO_PHONE_NUMBER - Your Twilio phone number (format: +15551234567) YOUR_MONDAY_BOARD_ID - Your Monday.com board ID Step 5: Configure SignSnap Home Activate the workflow in n8n Copy the webhook URL Go to SignSnapHome.com → Settings → Integrations Paste webhook URL and enable "Send on each submission" Step 6: Test! Have someone sign in at your next open house (or use test mode) and watch the magic happen! 📈 Expected Results Time Savings: 15-20 minutes per open house visitor (data entry, CRM updates, follow-up scheduling) Response Rate Improvements: Immediate thank you email: Builds rapport instantly Day 2 SMS: 98% open rate (vs 20-30% for email) Day 5 market update: Re-engages interested prospects Day 7 agent call task: Ensures no lead falls through cracks, make sure you set up your crm or change this to a simple notification node. Conversion Rate Impact: Many agents report 2-3x increase in open house visitor conversions with automated follow-up vs manual processes. 🎨 Customization Ideas This workflow is designed to be easily customizable: Adjust Follow-up Timing Change Wait node durations (Day 2 → Day 1, Day 5 → Day 3, etc.) Add more touchpoints (Day 10, Day 30, Day 90) Remove SMS and use email-only sequence Modify Lead Scoring Edit the JavaScript code in "Parse SignSnap Data" node Add new scoring criteria (property price range, visit duration, etc.) Change threshold values for HOT/WARM/COLD status Expand CRM Coverage Add Salesforce using HTTP Request node Include Pipedrive (native node available) Connect Zoho CRM (native node available) Add your brokerage's proprietary CRM via API Enhance Email Content Add property photos and listing details Include market statistics and neighborhood data Embed video tours or agent introduction videos Add social proof (testimonials, recent sales) Create Property-Specific Sequences Use IF nodes to branch by property address Send different messaging per listing Customize follow-up based on price range Include neighborhood-specific content 🔐 Compliance & Privacy This workflow is designed with real estate compliance in mind: TCPA Compliance (SMS): Consent established via open house sign-in "Reply STOP to unsubscribe" included in all messages Complete activity logging for audit trail Business relationship already established CAN-SPAM Compliance (Email): Easy unsubscribe mechanism Clear sender identification Accurate subject lines Business address included Data Privacy: No data stored in n8n workflow memory All data passed through encrypted connections CRM platforms handle data retention per their policies Google Sheets can be restricted to specific users 🆘 Troubleshooting "No email address" errors Make email required in SignSnap Home form settings Check "Errors" tab in Google Sheet for missed leads Follow up manually via phone using logged information CRM sync failures Verify all API credentials are current and not expired Check API rate limits (especially HubSpot free tier) Review execution logs in n8n for specific error messages SMS not sending Confirm Twilio account has sufficient balance Verify phone number format: +1XXXXXXXXXX (E.164 format) Check that recipient's country allows SMS from your Twilio number Ensure phone number was captured in SignSnap Home Wait nodes not resuming Confirm workflow is ACTIVE (not just saved) Check n8n queue system is running properly Verify execution mode settings allow waiting executions 📚 Additional Resources SignSnap Home: Website: https://signsnaphome.com Documentation: Contact SignSnap Home support Webhook setup guide: Available in app settings n8n Documentation: Webhook nodes: https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.webhook/ Wait node: https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.wait/ Code node: https://docs.n8n.io/code-examples/ CRM API Documentation: HubSpot: https://developers.hubspot.com/ Follow Up Boss: https://docs.followupboss.com/ Monday.com: https://developer.monday.com/ 🌟 Success Story "Before this automation, I was spending 30+ minutes after every open house manually entering contacts into HubSpot, then setting reminders to follow up. Now it's completely hands-free. The SMS follow-up on Day 2 alone has doubled my response rate. Best workflow I've ever implemented!" 🚦 Next Steps Download this workflow from the n8n Creator Hub Import into your n8n instance Follow the setup guide in the sticky notes Test with a sample submission before your next open house Monitor results in your Google Sheets activity log Customize and optimize based on your response rates 💡 Pro Tips A/B test your messaging**: Duplicate the workflow and test different email subject lines or SMS wording Track conversion rates**: Add a "Converted" column to your Google Sheet and update it when leads become clients Segment by property**: Use IF nodes to send different follow-up sequences for luxury vs starter homes Add social media enrichment**: Connect Clearbit or Hunter.io to automatically find LinkedIn profiles Create dashboard reports**: Connect Google Sheets to Data Studio for visual analytics 📞 Support For workflow-specific questions, please comment on this workflow in the n8n Creator Hub. For SignSnap Home account issues, contact SignSnap Home support directly. For CRM-specific questions, consult each platform's documentation linked above. 🏷️ Tags real-estate open-house crm-automation lead-nurturing sms-marketing email-automation hubspot follow-up-boss monday.com twilio google-sheets webhook multi-crm lead-scoring signsnap-home Version: 1.0 Last Updated: January 2025 Compatibility: n8n v1.0+ License: MIT Built with ❤️ for the real estate community. Questions or improvements? Drop a comment below!

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

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/