Workflow Templates

AI-powered Telegram message analysis with multi-tool notifications (Gmail, Telegram) This workflow triggers on Telegram updates, analyzes messages with an AI Agent using MCP tools, and sends notifications via Gmail and Telegram. Detailed Description Who is this for? This template is for teams, businesses, or individuals using Telegram for communication who need automated, AI-driven insights and notifications. It’s ideal for customer support teams, project managers, or tech enthusiasts wanting to process Telegram messages intelligently and receive alerts via Gmail and Telegram. What problem is this workflow solving? Use case This workflow solves the challenge of manually monitoring Telegram messages by automating message analysis and notifications. For example, a support team can use it to analyze customer queries on Telegram with AI tools (OpenAI, Airbnb, Brave, FireCrawl) and get notified via Gmail and Telegram for quick responses. What this workflow does The workflow: Triggers on a Telegram update (e.g., a new message) using the Listen for Telegram Updates node. Processes the message with the Analyze Message with AI node, an AI Agent using MCP tools like OpenAI Chat, Airbnb search, Brave search, and FireCrawl. Sends notifications via the Send Gmail Notification and Send Telegram Alert nodes, including AI-generated insights. Setup Prerequisites: Telegram bot token for the trigger and notification nodes. Gmail API credentials for sending emails. API keys for OpenAI, Airbnb, Brave, and FireCrawl (used in the AI Agent). Steps: Configure the Listen for Telegram Updates node with your Telegram bot token. Set up the Analyze Message with AI node with your OpenAI API key and other tool credentials. Configure the Send Gmail Notification node with your Gmail credentials. Set up the Send Telegram Alert node with your Telegram bot token. Test by sending a Telegram message to trigger the workflow. Setup takes ~15-30 minutes. Detailed instructions are in sticky notes within the workflow. How to customize this workflow to your needs Add more AI tools (e.g., sentiment analysis) in the Analyze Message with AI node. Modify the notification message in the Send Gmail Notification and Send Telegram Alert nodes to include specific AI outputs. Add nodes for other channels like Slack or SMS after the AI Agent. Disclaimer This workflow uses Community nodes (e.g., Airbnb, Brave, FireCrawl), which are available only in self-hosted n8n instances. Ensure your n8n setup supports Community nodes before using this template.

Quickly transform any LinkedIn profile URL into a concise, AI‑generated professional summary — perfect for recruiters, sales teams, and hiring managers who need instant insights into prospects or candidates without manual research. How it works The workflow polls a Google Sheet for new or updated rows containing LinkedIn profile URLs. For each URL, the Real‑Time LinkedIn Scraper API (via RapidAPI) pulls experience and education sections. Extracted profile data is sent to OpenAI’s GPT model, which generates a clean, structured summary highlighting key strengths, career trajectory, and differentiators. The generated summary is written back into a new column in the same row of your Google Sheet for easy review and sharing. Set up steps Connect your Google account and select the spreadsheet + worksheet containing your list of LinkedIn URLs. Sign up for the Real‑Time LinkedIn Scraper API on RapidAPI, copy your API key, and add it to the workflow’s HTTP Request node. Insert your OpenAI API key credentials. Ensure your Google Sheet has one column for “linkedin_url” and create two empty columns named “full_name” and "summary" (or customize them based on your needs). Run a single row through the workflow to verify scraping accuracy and summary formatting, then turn on the workflow for continuous automation. With this template, eliminate hours of manual profile review — instantly gain actionable insights and focus on what really matters: building relationships and closing deals.

Overview This workflow retrieves all blog and event collection items from a Squarespace site and saves them into a Google Sheets spreadsheet. It uses pagination to fetch 20 items per request, ensuring all content is collected efficiently. How It Works The workflow queries your Squarespace blog and event collections. It fetches data in paginated batches (20 items per page). The retrieved data is formatted and inserted into Google Sheets. The workflow runs on demand or on a schedule, ensuring your data stays up to date. Requirements Credentials To use this template, you need: Your Squarespace collection URL Google Sheets API credentials Google Sheets Setup Use this sample Google Sheets template to get started quickly. Who Is This For? This template is designed for: Bloggers looking to manage and analyze content externally. Businesses and marketers tracking content performance. Anyone who needs an automated way to extract Squarespace blog and event data. Explore More Templates Check out my other n8n templates: 👉 n8n.io/creators/bangank36

This n8n training workflow demonstrates how to connect a sub-workflow as a tool to an AI Agent. In this example, the main workflow is a Website Chatbot that engages visitors, collects contact information, and sends that data to a CRM process. The CRM process itself is a separate sub-workflow, connected to the agent as a tool via the Tool Workflow node. Step-by-Step Setup Instructions 1. Create the Sub-Workflow (CRM Tool) This sub-workflow will be triggered by the AI agent to process collected information. It will: Receive inputs (email, description) from the main chatbot workflow. Format the data into a structured JSON format. Append the data to a Google Sheet (acting as the CRM database). Send a confirmation message back to the main workflow. Steps inside the sub-workflow: When Executed by Another Workflow** – Triggered by the main workflow’s tool node. Convert Conversation (Agent)** – Uses OpenAI to extract and format the input into a JSON structure: { "email": "jane.doe@example.com", "description": "Wants help automating lead intake and sending Slack notifications." } Structured Output Parser – Ensures the extracted data matches the expected JSON schema. Append row in sheet (Google Sheets) – Adds the new lead data to your CRM sheet. Code Node – Returns a simple text confirmation like "Thanks for the info, we will be in touch soon". Required setup for Google Sheets: Enable the Google Sheets API and connect your Google account in n8n. Create a sheet with at least the columns email and description. Use the sheet's Document ID and tab name in the Google Sheets node. 2. Create the Main Workflow (Website Chatbot) This workflow acts as the main AI Agent handling incoming chat messages. Steps in the main workflow: When chat message received – Starts the workflow whenever a visitor sends a message via your chatbot integration. Website Chatbot (Agent Node) – Configured with a System Message that: Briefly explains your services. Asks the visitor what processes they want to automate. Requests their name and email. Sends collected data to the CRM tool once email and description are available. OpenAI Chat Model – Connects to the AI agent as its language model. Simple Memory – Stores short-term context for the ongoing chat. CRM Tool (Tool Workflow Node) – Points to the sub-workflow created in Step 1, allowing the chatbot to trigger it directly. 3. Connecting the Sub-Workflow to the AI Agent Add a Tool Workflow node to the main workflow. Select "Parameter" as the source. Paste in your sub-workflow JSON or select it from your n8n workflows. Connect the Tool Workflow node to your AI Agent using the ai_tool connection. Give the tool a clear description (e.g., crm tool to store lead information) so the agent knows when to use it. 4. How It Works in Action A visitor sends a message through the chatbot. The AI Agent engages, asks questions, and collects their name, email, and request. Once collected, the agent triggers the CRM Tool. The sub-workflow formats the data, stores it in Google Sheets, and sends a confirmation. The chatbot confirms with the visitor that their request was received. 5. Customization Ideas Replace Google Sheets with your actual CRM API. Add validation to ensure the email format is correct before saving. Expand the CRM tool to send a Slack or email notification after storing the lead. Created by Robert A. – Ynteractive Website: https://ynteractive.com Email: robert@ynteractive.com

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. Description This automation template is designed for content curators, marketers, and anyone looking to supercharge their content sharing strategy. It transforms any web article, blog post, or news link into a series of platform-specific social media posts, generated by AI. It also captures a live screenshot of the webpage to use as the post image, automating the entire process of publishing them across X (Twitter), LinkedIn, Threads, and Reddit. Note: The default example is configured to share n8n templates, but this workflow can promote any web page, article, or news story. Just change the URL! The upload-post node only works for self-hosted n8n instances, but you can use the standard http node for uploading the content* Who Is This For? Content Curators & Marketers:** Effortlessly share valuable industry news and articles with tailored messages and visuals for each audience. Social Media Managers:** Keep your social feeds consistently active with relevant, high-quality content without the manual overhead. Community Builders & Brand Evangelists:** Quickly disseminate product updates, tutorials, and blog posts to your community on all relevant platforms. Professionals & Thought Leaders:** Build your personal brand by easily sharing insightful articles with automated visuals, adding your unique perspective. What Problem Does This Workflow Solve? Sharing a single piece of content across multiple social platforms is tedious. You need to manually write unique posts, create visuals, and then publish everything. This workflow addresses these challenges by: Automating Content Creation:** Uses a powerful AI agent (Google Gemini) to read any URL and write compelling, unique posts for each social network. Generating Visuals Automatically:** Captures a high-quality screenshot of the source webpage to use as a visually appealing image in your posts, increasing engagement. Ensuring Platform-Specific Tone:** The AI is instructed to generate professional posts for LinkedIn, concise threads for X, conversational updates for Threads, and community-focused posts for Reddit. One-Click Distribution:** Takes a single URL as input and handles the entire content creation and sharing process across multiple platforms automatically. How It Works Input a URL: In the "Set Input Data" node, simply paste the URL of the article or page you want to share. AI Analysis & Generation: The workflow sends the URL to the AI agent, which scrapes the content and generates four distinct, ready-to-publish posts. Screenshot Generation: At the same time, it uses the ScreenshotOne service to capture a high-quality image of the provided URL. Cross-Platform Publishing: The generated content and the screenshot are automatically sent to the corresponding nodes to be posted on X, LinkedIn, and Threads, while the text-only version is sent to Reddit. Setup AI Model Credentials: Add your Google Gemini API key to the Google Gemini Chat Model node to power the AI agent. Screenshot Service (ScreenshotOne): The workflow uses ScreenshotOne to generate images for your posts. Create a free account at screenshotone.com to get your own API key. The free plan includes 100 screenshots per month. In the Upload Post X, Upload Post LinkedIn, and Upload Post Threads nodes, go to the Photos parameter (under Additional Fields) and replace the existing access_key in the URL with your own. Upload-Post Account: This workflow uses upload-post.com for multi-platform posting. Create a free account at upload-post.com to get your API Token and User ID. Add the credentials in the Upload Post X, Upload Post LinkedIn, and Upload Post Threads nodes. Reddit Credentials: Connect your Reddit account using OAuth2 in the Reddit node to enable posting. Customize the AI: (Optional) Edit the prompt in the Social Media Agent node to match your content. The default prompt is optimized for sharing n8n templates, but you can easily adapt it for any topic to fit your brand's voice and style. Requirements Accounts:** n8n, Google (for Gemini API), ScreenshotOne, upload-post.com, Reddit. API Keys & Credentials:** Google Gemini API Key, ScreenshotOne API Key, Upload-post.com API Token & User ID, Reddit OAuth2 credentials. Use this template to become a content-sharing powerhouse, saving hours of work while increasing your reach and engagement across the web.

n8n Workflow: OpenAI DALL·E 2 Image Generation & Google Drive Upload Description This n8n workflow automates the process of generating multiple AI-created images from a single prompt using OpenAI's DALL·E 2, then uploads the results directly to a Google Drive folder. It includes a loop to produce several image variations for the same prompt, making it ideal for creative projects, marketing materials, or content experimentation. Step-by-Step Setup Instructions 1. Prepare Your API Keys OpenAI API Key** Sign up or log in at https://platform.openai.com/ Go to API Keys and create a new one. Copy and store this securely — you'll need it in n8n. Google Drive API** Go to https://console.cloud.google.com/ Create a project and enable Google Drive API. Create OAuth 2.0 credentials and set the redirect URI to your n8n OAuth redirect (found in your n8n Google Drive node setup). Connect your Google account when adding credentials in n8n. 2. Workflow Nodes Overview Manual Trigger – Starts the workflow manually. Set Image Prompt – Stores the prompt text and base file name (e.g., “Make an image of an attractive woman standing in New York City”). Duplicate Rows (Code Node) – Creates multiple "runs" of the same prompt for variation. Loop Over Items – Processes each variation one at a time. Generate an image (OpenAI DALL·E 2) – Sends the prompt to OpenAI and retrieves an image. Upload to Google Drive – Saves each generated image to your chosen Google Drive folder. 3. Building the Workflow in n8n Step 1 — Manual Trigger Add a Manual Trigger node to start the workflow manually when testing. Step 2 — Set Image Prompt Add a Set node with two fields: Prompt → The image description text. Name → The base name for the saved file. Example: | Name | Value | |--------|---------------------------------------------------------------| | Prompt | Make an image of an attractive woman standing in New York City | | Name | woman-nyc | Step 3 — Duplicate Rows (Code Node) Use this JavaScript to create three copies of the prompt (run 1, run 2, run 3): const original = items[0].json; return [ { json: { ...original, run: 1 } }, { json: { ...original, run: 2 } }, { json: { ...original, run: 3 } }, ]; Step 4 — Loop Over Items Insert a Split in Batches node and set the batch size to 1. This ensures each prompt variation runs through the image generation process individually. Connect this node so it runs after the Duplicate Rows node. Step 5 — Generate Image Add the OpenAI Image Generation node and configure it as follows: Model**: dall-e-2 Prompt**: ={{ $json.Prompt }} Leave other options at their defaults unless you want to specify image size or style. Connect your OpenAI API credentials created in Step 1. This node will send the current prompt in the batch to OpenAI's DALL·E 2 model and return an AI-generated image. Step 6 — Upload to Google Drive Add a Google Drive node and configure it to store the generated image: File Name**: ={{ $('Set Image Prompt').item.json.Name }} - {{ $('Duplicate Rows').item.json.run }} Folder ID**: Select the target Google Drive folder where images should be saved. Connect your Google Drive OAuth2 API credentials. The node will upload each generated image to your chosen Google Drive location, with a unique filename for each variation. Running the Workflow Execute the workflow manually. The process will: Loop through each prompt variation. Generate an image using OpenAI DALL·E 2. Upload the image to Google Drive with a unique name. You will find all generated images in the selected Google Drive folder. Customization Tips Change the number of variations by editing the Duplicate Rows code. Adjust the prompt dynamically from other data sources like Google Sheets, webhooks, or forms. Schedule the workflow to run at specific times or trigger it via an API call. Created by Robert A. – Ynteractive Website: https://ynteractive.com Email: robert@ynteractive.com

How it works Use Telegram to send in new phrases (flashcard front) You can also manually input phrase in the workflow itself ChatGPT generates provided phrase description (in English but you can change it) including multiple meanings & generates examples of using the phrase in a sample sentence (flashcard back) Steps to setup Provide your Telegram bot API key (optional) Provide your OpenAI key Provide Google Sheets credentials How to import flashcards from Google Sheets into Anki Use Google Sheets to Anki add-on: 1871608121 In Anki simply click Sync Decks and you're done :) Enjoy

This n8n template from Intuz provides a complete and automated solution for hyper-personalized email outreach. It powerfully combines AI with Gmail and Google Sheets, using specific keywords and prospect data to automatically craft unique, compelling email content that boosts engagement and secures more replies. Instead of manually replying to every lead or inquiry, this template does the heavy lifting for you, ensuring every response is relevant, thoughtful, and timely. It reads each person's unique inquiry, uses OpenAI to craft a perfectly tailored and human-like response, and sends it directly from your Gmail account. Ideal for sales, marketing, and customer support teams looking to boost engagement and save hours of manual work. Use Cases: Sales Teams: Instantly follow up with new leads from your website's contact form with a personalized touch. Customer Support: Provide initial, intelligent responses to support tickets, answering common questions or acknowledging receipt of a complex issue. Marketing Automation: Nurture leads by responding to content downloads or webinar sign-ups with relevant, non-generic information. Founders & Solopreneurs: Manage all incoming business inquiries (partnerships, media, etc.) efficiently without sacrificing quality. How It Works: Trigger the Flow (Manual): Start the automation whenever you're ready to process a new batch of inquiries from your sheet. Fetch Inquiries from Google Sheets: The workflow connects to your specified Google Sheet and reads each row. It pulls the contact's First Name, Email ID, the Inquiry Intent (e.g., "Demo Request," "Pricing Inquiry"), and the full text of their Original Inquiry. Sync Your Signature: Before writing the email, an HTTP Request node dynamically fetches your display name from your Gmail account settings. This ensures the signature in the generated email (Thanks, {{Your Name}}) is always accurate. Craft a Hyper-Personalized Reply with AI: It uses this context to generate a high-quality, professional, and friendly email reply in HTML format. For example: If the intent is "Technical Support," the AI will generate a helpful, empathetic response addressing the technical issue. If the intent is "Partnership Proposal," it will draft a professional reply acknowledging the proposal and outlining the next steps. Send via Gmail: The final node takes the AI-generated message, adds a relevant subject line (e.g., "Re: Your Demo Request"), and sends it directly to the contact's email address from your connected Gmail account. This process loops for every single row in your Google Sheet, turning a list of names into a series of meaningful conversations. Setup Instructions: To get this workflow running, you'll need to configure a few things: Credentials: Google: Connect your Google account via OAuth2 and ensure you have enabled access for Google Sheets, Google Drive, and Gmail. OpenAI: Add your OpenAI API key as a credential. Google Sheet Setup: Create a Google Sheet with the following exact column headers: -First Name -Email ID -Inquiry Intent (A short category like "Demo Request", "Billing Issue", etc.) -Original Inquiry (The full text of the email or message you received). Node Configuration: Get row(s) in sheet: Select your Google Sheet document and the specific sheet name. Message a model (OpenAI): Choose your preferred OpenAI model (e.g., gpt-4-turbo, gpt-3.5-turbo). HTTP Request & Send Personalized emails: These nodes should automatically use your configured Gmail credentials. No changes are typically needed. Connect with us Website: https://www.intuz.com/cloud/stack/n8n Email: getstarted@intuz.com LinkedIn: https://www.linkedin.com/company/intuz Get Started: https://n8n.partnerlinks.io/intuz

Automating Company ICP Scoring via LinkedIn Use Case This automation scores companies based on their LinkedIn profile using custom Ideal Customer Profile (ICP) criteria. It’s ideal for qualifying B2B leads and prioritizing outreach based on fit. What This Automation Does Inputs required: Company LinkedIn URL**: Public LinkedIn profile of the company. Airtop Profile (connected to LinkedIn)**: Airtop Profile authenticated to access and extract profile data. The automation analyzes the LinkedIn page and calculates a score based on: Scoring Criteria | Category | Classification | Points | |--------------------|---------------------------|------------| | AI Focus | Low | 5 | | | Medium | 10 | | | High | 25 | | Technical Level | Basic | 5 | | | Intermediate | 15 | | | Advanced | 25 | | | Expert | 35 | | Employee Count | 0–9 | 5 | | | 10–150 | 25 | | | 150+ | 30 | | Agency Status | Not Automation Agency | 0 | | | Automation Agency | 20 | | Geography | Outside US/Europe | 0 | | | US/Europe Based | 10 | The result includes: Total ICP score Detailed justifications for each score component How It Works Opens the company’s LinkedIn page using Airtop. Analyzes metadata including employee count, headquarters, services, and keywords. Applies the scoring rubric and returns structured JSON with scores and reasons. Optionally flattens the result for storage or CRM integration. Setup Requirements Airtop API Key LinkedIn-authenticated Airtop Profile Next Steps Combine with Lead Lists**: Score companies from outreach lists. Push to CRM**: Add scores to HubSpot or Salesforce records. Adjust Scoring Weights**: Modify rubric to reflect your ICP strategy. Read more about company ICP scoring automation with Airtop and n8n

📚 Automated School Fee Reminder Workflow with Payment Link Automatically sends fee reminders (via email and WhatsApp) to parents with secure payment links, 3 days before the due date. 🔧 Main Components Daily Fee Check – 8 AM** Scheduled trigger that starts the workflow daily at 8 AM. Read Pending Fees** Fetches student fee records from an Excel sheet (using getAll method). Process Fee Reminders** Filters records to find pending fees due within the next 3 days. Prepare Email Reminder** Generates personalized email messages with payment links. Wait for Email Preparation** Adds delay/wait condition for email logic readiness. Send Email Reminder** Sends the fee reminder email with a secure payment link to the parent. Prepare WhatsApp Reminder** Generates WhatsApp-friendly messages with fee and payment details. Wait for WhatsApp Preparation** Waits for WhatsApp message logic to complete. Send WhatsApp Message** Sends the message to the parent’s WhatsApp number using a message API. Update Reminder Status** Updates the Excel file to mark reminders as sent to avoid duplicates. 🧩 Channels Used 📧 Email – with personalized payment link 💬 WhatsApp – formatted reminder message 🔐 Payment Integration Secure payment links are auto-generated per student to enable direct and safe online fee payments. ✅ Essential Prerequisites Excel sheet with fee records (student_fee_data.xlsx) SMTP credentials for sending email WhatsApp API or provider integration (like Twilio or Gupshup) Access to a payment gateway or service for link generation File storage access to update reminder status in Excel 📁 Required Excel File Structure (student_fee_data.xlsx) | Student ID | Name | Email | Phone | Fee Due Date | Amount | Reminder Sent | | ---------- | ---- | ----- | ----- | ------------ | ------ | ------------- | 🧾 Expected Input Format Example { "studentId": "ST123", "name": "Ria Mehta", "email": "ria.mehta@example.com", "phone": "+919123456789", "dueDate": "2025-08-10", "amount": "₹5000", "reminderSent": "No" } 🚀 Key Features ⏰ Scheduled Daily Execution – Fully automated at 8 AM 🧮 Due-Date Filtering – Only targets fees due in the next 3 days 💬 Multi-Channel Notifications – Sends reminders via both Email and WhatsApp 🔗 Secure Payment Links – Auto-generated for each student 🔄 Reminder Tracking – Prevents duplicate reminders by updating status ⚙️ Quick Setup Guide Import Workflow JSON into your n8n instance. Configure schedule in the “Daily Fee Check” node (default: 8 AM). Set Excel file path in the “Read Pending Fees” node. Update your fee processing logic in the “Process Fee Reminders” node. Add email credentials in the “Send Email Reminder” node. Integrate WhatsApp provider API in the “Send message” node. Define how you generate secure payment links. Test with sample data and activate workflow. 🛠️ Parameters to Configure | Parameter | Description | | ------------------ | ------------------------------------------ | | excel_file_path | Path to the fee tracking Excel file | | smtp_host | SMTP server for sending email reminders | | smtp_user | Email username | | smtp_password | Email password | | whatsapp_api_key | WhatsApp API key for sending messages | | payment_api_url | URL for generating payment links | | admin_email | (Optional) Admin email for error reporting |

How it works creates a new page in Confluence based on a page template also defined in Confluence replaces any number of placeholders with data from your workflow generic implementation for maximum flexibility Set up steps All parameters you need to change are defined in the Set node Set your Atlassian-domain Set the template id you want to use as the basis for new pages Set the target space and parent page for new pages added based on that template. 🎥 Explainer video has all the details. =) Feedback Any feedback is welcome. If you have ideas for improvements, let me know.

Scoring LinkedIn Profiles Against Your ICP Use Case This automation scores individual LinkedIn profiles against your Ideal Customer Profile (ICP) based on interest in AI, technical depth, and seniority level. It's ideal for prioritizing leads and understanding how well a person fits your ICP criteria. What This Automation Does Given a LinkedIn profile and an Airtop profile, it: Extracts relevant data from the person's profile Determines levels of AI interest, seniority, and technical depth Calculates an ICP score based on weighted criteria Returns the full enriched profile with the score Input parameters: LinkedIn Profile URL** (e.g., https://linkedin.com/in/janedoe) Airtop Profile** connected to LinkedIn ICP scoring method** in the Airtop node prompt Output fields in JSON format: Full name, job title, employer, company LinkedIn URL, location, number of connections and followers, about section content and more Calculated ICP Score (out of 100) How It Works Form Trigger or Workflow Trigger: Accepts input from either a form or another workflow. Parameter Assignment: Ensures proper variable names for downstream nodes. Airtop Enrichment Tool: Extracts and scores the person based on a detailed prompt. Scoring: Uses this point system: AI Interest: beginner (5), intermediate (10), advanced (25), expert (35) Technical Depth: basic (5), intermediate (15), advanced (25), expert (35) Seniority Level: junior (5), mid-level (15), senior (25), executive (30) Output Formatting: Cleans and returns the result as JSON. Setup Requirements IMPORTANT: Enter your ICP scoring method in the prompt field of the Airtop node Airtop Profile connected to LinkedIn. Airtop API credentials configured in n8n. Optional: a front-end form to collect profile URLs and trigger the automation. Next Steps Embed in CRM**: Trigger this automation on new leads to auto-score them. Batch Process Leads**: Run it over a list of profile URLs for segmentation. Customize Scoring**: Adjust point weights based on your sales priorities. Read more about Scoring LinkedIn Profiles Against Your ICP