Workflow Templates

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.

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.

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

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!

This workflow provides a comprehensive weather reporting system with two main functionalities: a scheduled daily summary and an interactive AI agent for dynamic queries. Who's it for? This template is ideal for anyone who wants to stay updated on the weather, from individuals planning their day to teams needing automated daily briefings. It's also a great example for developers and n8n users who want to explore the capabilities of AI Agents and integrating external APIs in their workflows. What it does / How it works This workflow operates in two distinct modes: Scheduled Daily Summary: The workflow triggers automatically every day at 9:00 AM (customizable) or can be run manually. It fetches the latest weather data for a specified location (default is near Chiba, Japan) from the Open-Meteo API. It then formats a message with the day's maximum and minimum temperatures. Finally, it sends this summary to a designated Gmail address and a Slack channel. AI-Powered Forecasts via Chat: When you send a message to the Chat Trigger webhook, it activates the AI Agent. The AI Agent, powered by an OpenAI model, understands natural language questions like "What's the humidity right now?" or "Will it be warmer tomorrow?". The agent uses an HTTP Request tool to fetch real-time, specific data from the weather API to answer your question. The generated answer is then sent back to you via both Gmail and Slack. How to set up Configure Credentials: Add your credentials for OpenAI, Gmail, and Slack in the credentials menu. Set Your Location: In the Fetch Weather Data and HTTP Request Tool for AI nodes, update the latitude and longitude in the URL to your desired location. Update Email and Slack: In the Send Email Summary and Send AI Response via Email nodes, change the recipient email address to your own. In the Send Slack Summary and Send AI Response via Slack nodes, select your desired Slack channel. Adjust the Schedule: Modify the Schedule Trigger node to change the time or frequency of the daily summary. Activate the Workflow: Click the "Active" toggle in the top-right corner to enable the workflow. How to customize the workflow Change the Message:** You can easily customize the notification message in the Format Daily Summary node (for the summary) and in the Send... nodes for both flows. Add More Data:** The Open-Meteo API provides a wealth of data. You can fetch additional information like precipitation, wind speed, or UV index by modifying the URL in the HTTP Request nodes. Integrate Other Services:** Add other notification nodes like Discord, Telegram, or Microsoft Teams to send the weather reports to more platforms.

Automated SEO Health Monitoring & Reporting This workflow automatically monitors the SEO health of websites stored in a Google Sheet. It fetches each website’s HTML, analyzes key SEO metrics (title, meta description, H1 count, canonical, robots, performance score, etc.) and updates results back into Google Sheets. If performance is poor (<50), it sends an alert email. For healthy sites, it generates a detailed PDF report and stores it in Google Drive. Who’s it for Digital marketing teams SEO agencies Website administrators who want automated SEO health checks Businesses with multiple websites or landing pages to monitor How it works Daily Trigger – Runs every day at 9 AM. Fetch Website List – Reads website URLs from Google Sheets. Crawl Websites – Uses HTTP requests to fetch each website’s HTML. SEO Analysis – Extracts SEO-related metadata (title, meta description, H1, etc.). Health Check – Scores SEO performance based on predefined rules. Decision Node – If score < 50 → Send alert email; else → Generate full SEO report. Update Logs – Logs results back into Google Sheets. Generate PDF Reports – Converts HTML reports into PDFs via PDF.co API. Save to Drive – Stores the PDF reports in Google Drive for long-term access. How to set up Open n8n and import the workflow. Configure your Google Sheets credentials and specify the sheet containing your website URLs. Add your Gmail account to allow automated alert emails. Set up your Google Drive credentials for storing PDF reports. Obtain an API key from PDF.co and configure the HTTP Request node. Adjust the Schedule Trigger to the time that works best (default: 9 AM daily). Test the workflow with a sample domain list. Requirements n8n instance (self-hosted or cloud) Google Sheets account (to store website URLs and logs) Gmail account (for sending alerts) Google Drive account (to save SEO reports) PDF.co API Key (for HTML → PDF conversion) How to customize Change performance threshold**: Modify the IF node condition (default <50). Custom SEO rules**: Edit the “SEO Health Check” Function node to add/remove checks (e.g., missing schema tags, page load times). Different output storage**: Replace Google Drive with Dropbox, S3 or OneDrive. Alternate notification channels**: Swap Gmail with Slack, Microsoft Teams or Telegram. Add-ons Send Slack/Teams notifications for low scores. Add PageSpeed Insights API for performance scoring. Generate weekly summary reports per domain. Integrate with Notion/Confluence to log SEO health history. Use Case Examples An SEO agency monitors 100+ client websites daily and sends alerts when a site has poor SEO signals. A company’s marketing manager gets a daily SEO health PDF report stored in Drive. A SaaS product team automatically logs performance changes for each release. Common Troubleshooting | Issue | Possible Cause | Solution | | ------------------------------------ | ------------------------------------------------ | --------------------------------------------------------------------------- | | Workflow fails at HTTP Crawl | Website blocks requests / timeout | Increase timeout in Set Config node or add retry logic. | | Always returns https://example.com | Missing canonical / OG tags in HTML | Enhanced code now infers from JSON-LD or domain detection. Update analyzer. | | PDF not generated | Invalid API key or wrong endpoint in PDF.co node | Verify PDF.co API key and endpoint URL. | | Email not sending | Gmail credentials not set or blocked | Reconnect Gmail in n8n credentials manager. | | Google Sheet not updating | Wrong column mapping in Update Sheet node | Check node mapping: domain column vs performance/date columns. | | Google Drive upload fails | Missing folder permissions | Ensure correct Drive folder ID and credentials. | Need Help? If you’d like assistance setting up, customizing or scaling this workflow for your use case, our n8n automation team at WeblineIndia can help you: Tailor SEO rules for your industry. Connect to additional APIs (Ahrefs, Semrush, PageSpeed). Automate weekly/monthly reporting with summary dashboards.

🦷 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

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

How it works: This project teaches you to create a personal AI assistant named Jackie that operates through Telegram. Jackie can summarize unread emails, check calendar events, manage Google Tasks, and handle both voice and text interactions. The assistant provides a comprehensive digital life management solution accessible via Telegram messaging. Key Features: Supports hands-free voice interaction Maintains conversation memory Integrates with major Google services Provides personalized assistance for email management, scheduling, and task organization Step-by-step: Telegram Trigger: The workflow starts with a Telegram trigger that listens for incoming message events. The system determines if the incoming message is voice or text input. Voice Processing: If a voice message is received, the workflow retrieves the voice file from Telegram and uses OpenAI's transcription API to convert speech to text. AI Assistant: The processed text (whether original text or transcribed voice) is passed to Jackie, the AI assistant powered by OpenRouter's language model. Tools Integration: Jackie is equipped with several productivity tools: Get Email: Uses Gmail API to fetch unread emails from the inbox with sender, date, subject, and summary information Google Calendar: Retrieves calendar events for specified dates, filtering out irrelevant future events Google Tasks: Both creates new tasks and retrieves existing tasks from Google Tasks lists API Keys Required: Telegram Bot API: Create a bot via @BotFather on Telegram to get your bot token OpenAI API: Required for voice-to-text transcription OpenRouter API: Powers the AI language model responses Google OAuth2: Needed for Gmail, Google Calendar, and Google Tasks integration Response Generation: The AI formulates intelligent responses based on the gathered information, current date context, and conversation history, then sends the response back to the user via Telegram in Markdown format.

💥 Viral TikTok Video Machine: Auto-Create Videos with Your AI Avatar 🎯 Who is this for? This workflow is for content creators, marketers, and agencies who want to use Veed.io’s AI avatar technology to produce short, engaging TikTok videos automatically. It’s ideal for creators who want to appear on camera without recording themselves, and for teams managing multiple brands who need to generate videos at scale. ⚙️ What problem this workflow solves Manually creating videos for TikTok can take hours — finding trends, writing scripts, recording, and editing. By combining Veed.io, ElevenLabs, and GPT-4, this workflow transforms a simple Telegram input into a ready-to-post TikTok video featuring your AI avatar powered by Veed.io — speaking naturally with your cloned voice. 🚀 What this workflow does This automation links Veed.io’s video-generation API with multiple AI tools: Analyzes TikTok trends via Perplexity AI Writes a 10-second viral script using GPT-4 Generates your voiceover via ElevenLabs Uses Veed.io (Fabric 1.0 via FAL.ai) to animate your avatar and sync the lips to the voice Creates an engaging caption + hashtags for TikTok virality Publishes the video automatically via Blotato TikTok API Logs all results to Google Sheets for tracking 🧩 Setup Telegram Bot Create your bot via @BotFather Configure it as the trigger for sending your photo and theme Connect Veed.io Create an account on Veed.io Get your FAL.ai API key (Veed Fabric 1.0 model) Use HTTPS image/audio URLs compatible with Veed Fabric Other APIs Add Perplexity, ElevenLabs, and Blotato TikTok keys Connect your Google Sheet for logging results 🛠️ How to customize this workflow Change your Avatar:* Upload a new image through Telegram, and *Veed.io** will generate a new talking version automatically. Modify the Script Style:** Adjust the GPT prompt for tone (educational, funny, storytelling). Adjust Voice Tone:* Tweak *ElevenLabs** stability and similarity settings. Expand Platforms:** Add Instagram, YouTube Shorts, or X (Twitter) posting nodes. Track Performance:** Customize your Google Sheet to measure your most successful Veed.io-based videos. 🧠 Expected Outcome In just a few seconds after sending your photo and theme, this workflow — powered by Veed.io — creates a fully automated TikTok video featuring your AI avatar with natural lip-sync and voice. The result is a continuous stream of viral short videos, made without cameras, editing, or effort. ✅ Import the JSON file in n8n, add your API keys (including Veed.io via FAL.ai), and start generating viral TikTok videos starring your AI avatar today! 🎥 Watch This Tutorial 📄 Documentation: Notion Guide Need help customizing? Contact me for consulting and support : Linkedin / Youtube

How it works This workflow automates your initial hiring pipeline by creating an AI-powered CV scanner. It collects job applications through a web form, uses AI to analyze the candidate's CV against your job description, and neatly organizes the results in a Google Sheet. Here’s the step-by-step process: The Application Form:** A Form Trigger provides a public web form for candidates to submit their name, email, and CV (as a PDF). Initial Logging:** As soon as an application is submitted, the candidate's name and email are added to a Google Sheet. This ensures every applicant is logged, even if a later step fails. CV Text Extraction:* The workflow uses *Mistral's OCR** model to accurately extract all the text from the uploaded CV PDF. AI Analysis:* The extracted text is sent to *Google Gemini**. A detailed prompt instructs the AI to act as a hiring assistant, scoring the CV against the specific requirements of your job role and providing a detailed explanation for its score. Structured Output:** A JSON Output Parser ensures the AI's analysis is returned in a clean, structured format, making the data reliable. Final Record:** The AI-generated qualification score and explanation are added to the candidate's row in the Google Sheet, giving you a complete, analyzed list of applicants. Set up steps Setup time: ~15 minutes You'll need API keys for Mistral and Google AI, and to connect your Google account. Get Your Mistral API Key: Visit the Mistral Platform at console.mistral.ai/api-keys. Create and copy your API key. In the workflow, go to the Extract CV Text node, click the Credential dropdown, and select + Create New Credential. Paste your key into the API Key field and Save. Get Your Google AI API Key: Visit Google AI Studio at aistudio.google.com/app/apikey. Click "Create API key in new project" and copy the key. In the workflow, go to the Gemini 2.5 Flash Lite node, click the Credential dropdown, and select + Create New Credential. Paste your key into the API Key field and Save. Connect Your Google Account: Select the Create 'CVs' Spreadsheet node. Click the Credential dropdown and select + Create New Credential to connect your Google account. Repeat this for the Log Candidate Submission and Add CV Analysis nodes, selecting the credential you just created. Create Your Spreadsheet: Click the "play" icon on the Start Here node to run it. This will create a new Google Sheet in your Google Drive named "CVs" with the correct columns. Customize the Job Role: Go to the AI Qualification node. In the Text parameter, find the job_requirements section and replace the example job description with your own. Be as detailed as possible for the best results. Start Screening! Activate the workflow using the toggle at the top right. Go to the Application Form node and click the "Open Form URL" button. Fill out the form with a test application and upload a sample CV. Check your Google Sheet to see the AI's analysis appear within moments

Decodo Scraper API Workflow Template (n8n Automation Amazon Book Purchase Report) Watch the demo video below: > This workflow demos how to use Decodo Scraper API to crawl any public web page (headless JS, device emulation: mobile/desktop/tablet), extract structured product data from the returned HTML, generate a purchase-ready report, and automatically deliver it as a Google Doc + PDF to Slack/Drive. Who’s it for Creators / Analysts** who need quick product lists (books, gadgets, etc.) with prices/ratings. Ops & Marketing teams** building weekly “top picks” reports. Engineers** validating the Decodo Scraper API + LLM extraction pattern before scaling. How it works / What it does Trigger – Manually run the workflow. Edit Fields (manual) – Provide inputs: targetUrl (e.g., an Amazon category/search/listing page) deviceType (desktop | mobile | tablet) Optional: maxItems, notes, reportTitle, reportOwner Scraper API Request (HTTP Request → POST) Calls Decodo Scraper API with: URL to crawl, headless JS enabled Device emulation (UA + viewport) Optional waitFor / executeJS to ensure late-loading content is captured HTML Response Parser (Code/Function or HTML node) Pulls the HTML string from Decodo response and normalizes it (strip scripts/styles, collapse whitespace). Product Analyzer Agent (LLM + Structured Output Parser) Prompts an LLM to extract structured “book” objects from the HTML: The Structured Output Parser enforces a strict JSON schema and drops malformed items. Build 📚 Book Purchase Report (Code/LLM) Converts the JSON array into a Markdown (or HTML) report with: Executive summary (top picks, average price/rating) Table of items (rank, title, author, price, rating, link) “Recommended to buy” shortlist (rules configurable) Notes / owner / timestamp Configure Google Drive Folder (manual) Choose/create a Drive folder for output artifacts. Create Document File (Google Docs API) Creates a Doc from the generated Markdown/HTML. Convert Document to PDF (Google Drive export) Exports the Doc to PDF. Upload report to Slack Sends the PDF (and/or Doc link) to a chosen Slack channel with a short summary. How to set up 1 Prerequisites n8n** (self-hosted or Cloud) Decodo Scraper API** key OpenAI (or compatible) API key** for the Analyzer Agent Google Drive/Docs** credentials (OAuth2) Slack** Bot/User token (files:write, chat:write) 2 Environment variables (recommended) DECODO_API_KEY OPENAI_API_KEY DRIVE_FOLDER_ID (optional default) SLACK_CHANNEL_ID 3 Nodes configuration (high level) Edit Fields (Set node) Scraper API Request (HTTP Request → POST) HTML Response Parser (Code node) Product Analyzer Agent Build Book Purchase Report (Code/LLM) Create Document File Convert to PDF Upload to Slack Requirements Decodo**: Active API key and endpoint access. Be mindful of concurrency/rate limits. Model**: GPT-4o/4.1-mini or similar for reliable structured extraction. Google**: OAuth client (Docs/Drive scopes). Ensure n8n can write to the target folder. Slack**: Bot token with files:write + chat:write. How to customize the workflow Target site: Change targetUrl to any **public page (category, search, or listing). For other domains (not Amazon), tweak the LLM guidance (e.g., price/label patterns). Device emulation**: Switch deviceType to mobile to fetch mobile-optimized markup (often simpler DOMs). Late-loading pages**: Adjust waitFor.selector or use waitUntil: "networkidle" (if supported) to ensure full content loads. Client-side JS**: Extend executeJS if you need to interact (scroll, click “next”, expand sections). You can also loop over pagination by iterating URLs. Extraction schema**: Add fields (e.g., discount_percent, bestseller_badge, prime_eligible) and update the Structured Output schema accordingly. Filtering rules**: Modify recommendation logic (e.g., min ratings count, price bands, languages). Report branding**: Add logo, cover page, footer with company info; switch to HTML + inline CSS for richer Docs formatting. Destinations**: Besides Slack & Drive, add Email, Notion, Confluence, or a database sink. Scheduling: Add a **Cron trigger for weekly/monthly auto-reports.