by WeblineIndia
This workflow automatically forwards incoming Gmail emails to a Telegram chat only if the email subject contains specific keywords (like "Urgent" or "Server Down"). The workflow extracts key details such as the sender, subject, and message body, and sends them as a formatted message to a specified Telegram chat. This is useful for real-time notifications, security alerts, or monitoring important emails directly from Telegram — filtering out unnecessary emails. Prerequisites: Before setting up the workflow, ensure the following: The Gmail API should be enabled. Create a bot using @BotFather and obtain the API key. Retrieve the telegram Chat ID (for personal messages or group messages). Set up OAuth2 for Gmail and use the Bot Token for Telegram. Customisation Options : Modify the subject keywords in the IF Node to change the filtering criteria. Customize how the email details appear in Telegram (bold subject, italic body, etc.). Extend the workflow to include email attachments in Telegram. Steps : Step 1: Gmail Trigger Node (On Message Received) Select "Gmail Trigger" and add it to the workflow. Authenticate with your Google Account. Set Trigger Event to "Message Received". (Optional) Add filters for specific senders, labels, or subjects. Click "Execute Node" to test the connection. Click "Save". Step 2: IF Node (Conditional Filtering) Add an "IF" Node after the Gmail Trigger. Configure the condition to check if the email subject contains specific keywords (e.g., "Urgent", "Server Down", "Alert"). If the condition is true, proceed to the next step. If false, you can stop or route it elsewhere (optional). Step 3: Telegram Node (Send Message Action) Click "Add Node" and search for Telegram. Select "Send Message" as the action. Authenticate using your Telegram Bot Token. Set the Chat ID (personal or group chat). Format the message using email details received from the email trigger node and set the message in text. Steps 4. Connect & Test the Workflow Link Gmail Trigger → if node → Telegram Send Message. Save and execute the workflow manually. Send a test email to your Gmail account. Verify if the email details appear in your Telegram chat. About the Creator, WeblineIndia This workflow is created by the Agentic business process automation developers at WeblineIndia. We build automation and AI-driven tools that make life easier for your team. If you’re looking to hire dedicated developers who can customize workflows around your business, we’re just a click away.
by WeblineIndia
This workflow streamlines the process of creating events in Google Calendar using event data stored in a Google Sheet. The process begins by retrieving the latest event entry from Google Sheets, ensuring only the most recent event details are processed. Once fetched, a Function node formats the event date to align with Google Calendar's required format—ensuring consistency and preventing date-related errors. After formatting, the structured event details are sent to Google Calendar, where an event is created with essential information such as the event title (summary), description, date, and location. Additionally, the workflow allows customization by setting the event's status as either "Busy" or "Available," helping attendees manage their schedules. A background color can also be assigned for better visibility and categorization. By automating this process, you eliminate the need for manual event creation, ensuring seamless synchronization between Google Sheets and Google Calendar. This improves efficiency, accuracy, and productivity, making event management effortless. Prerequisites : Before setting up this workflow, ensure the following: You have an active Google account connected to Google Sheets and Google Calendar. The Google Sheets API and Google Calendar API are enabled in the Google Cloud Console. n8n has the necessary OAuth2 authentication configured for both Google Sheets and Google Calendar. Your Google Sheet has columns for event details (event name, description, location, date, etc.). |Event Name|Event Description|Event Start Date|Location| |-|-|-|-| |Birthday|Celebration|27-Mar-1989|City| |Anniversary|Celebration|10-Jun-2015|City| Customization Options : Modify the Google Sheets trigger to track updates in specific columns. Adjust the data formatting function to support: Different date/time formats Time zone settings Custom event colors Attendee invitations Steps : Step 1: Add the Google Sheets Trigger Node Click "Add Node" and search for Google Sheets. Select "Google Sheets Trigger" and add it to the workflow. Authenticate using your Google account (select an existing account if already authenticated). Select the Spreadsheet and Sheet Name to monitor. Set the Trigger Event to "Row Added". Click "Execute Node" to test the connection. Click "Save". Step 2: Process Data with Function Node Click "Add Node" and search for Function. Add the Function Node and connect it to the Google Sheets Trigger Node. In the function editor, write a script to extract and format data. Ensure the required fields (title, location, date) are properly structured. Click "Execute Node" to verify the formatted output. Click "Save". Step 3: Add the Google Calendar Node Click "Add Node" and search for Google Calendar. Select "Create Event" operation. Authenticate with Google Calendar. Map the required fields Title Description Location Start time Optional: Set Event Status and Event Colors. Click "Execute Node" to test event creation. Click "Save". Step 4: Final Steps Connect all nodes in sequence (Google Sheets Trigger → Function Node → Google Calendar Node). Test the workflow by adding a sample row in Google Sheets. Verify that the event is created in Google Calendar with the correct title, description, date, and location. About WeblineIndia This workflow was built by the AI development team at WeblineIndia. We help businesses automate processes, reduce repetitive work, and scale faster. Need something custom? You can hire AI developers to build workflows tailored to your needs.
by Samir Saci
Tags: Productivity, Pomodoro, Organization Context Hey! I’m Samir, a Supply Chain Engineer and Data Scientist from Paris, founder of LogiGreen Consulting 🌱 A significant improvement in my productivity came from following the Pomodoro Technique. What is the Pomodoro Technique? The Pomodoro Technique is a time management method that breaks your workday into 25-minute focus intervals followed by short breaks. After 4 cycles, you take a longer break to recharge. It helps maintain concentration while preventing burnout. I’ve used this technique with web apps to receive break/work notifications. But I always wished I had a way to track my sessions for self-assessment. > Let’s use n8n to boost our productivity and log our deep work sessions automatically! 📬 For business inquiries, you can add me on Here Who Is This Template For? I built this workflow for creators, freelancers, students, and professionals who love the Pomodoro technique but want more than just timers — they want data. This template helps you: Track every deep work session automatically Store logs in Google Sheets for later analysis Stay in control via Telegram commands There is no need to pay for premium apps. It’s all free and powered by n8n. How Does It Work? This Telegram bot tracks your Pomodoro sessions and sends you alerts during the process. Here’s what happens: A user sends /start to the bot. It launches a 25-minute deep work timer. After 25 minutes, the bot sends a break reminder. After four cycles, a long break is triggered and the session is logged. The session is automatically recorded to Google Sheets with (Date & Time, User ID, Pomodoro count, Session ID, Duration of focus and breaks) What Gets Tracked? | Field | Description | |-------------------|--------------------------------------| | Date & Time | When the session was logged | | User ID | Your Telegram ID | | Block Type | Deep Work or Short Break | Pomodoro Count | Number of cycles completed | | Working Session ID | Unique ID for each session | | Focus Duration | Length of each deep work session | | Break Duration | Short or long break info | You can use this workflow as a base to bring additional features like: Connecting with tasks from Google Task Send automated productivity reports to monitor your activity Link a Pomodoro with a task using Google Calendar What Do I Need to Start? This workflow is beginner-friendly — no coding required. Google Drive API* and *Google Sheet API** credentials A Google Sheet set up to log sessions (with the columns of the table above) API Credentials: Google Sheets API (OAuth2) Telegram Bot Token Telegram app to chat with the bot > The template is plug-and-play. Just follow the sticky notes in the n8n editor to configure it. Next Steps Follow the sticky notes in the n8n workflow editor to: Set your credentials Connect your Google Sheet Initialize the static data Launch your first /start command on Telegram 🎥 Watch My Tutorial 🚀 Curious how n8n can supercharge productivity and learning skills?? 📬 Let’s connect on LinkedIn This workflow has been created with N8N 1.82.1 Submitted: March 24th, 2025
by Airtop
About The ICP Company Scoring Automation Sorting through lists of potential leads manually to determine who's truly worth your sales team's time isn't just tedious, it's incredibly inefficient. Without proper qualification, your team might spend hours pursuing prospects who aren't the right fit for your product, while ideal customers slip through the cracks. How to Automate Identifying Your Ideal Customers With this automation, you'll learn how to automatically score and prioritize leads using data extracted directly from LinkedIn profiles via Airtop's integration with n8n. By the end, you'll have a fully automated workflow that analyzes prospects and calculates an Ideal Customer Profile (ICP) score, helping your sales team focus on high-potential opportunities. What You'll Need A free Airtop API key A copy of this Google Sheets Understanding the Process This automation transforms how you qualify and prioritize leads by extracting real-time, accurate information directly from LinkedIn profiles. Unlike static databases that quickly become outdated, this workflow taps into the most current professional information available. The workflow in this template: Uses Airtop to extract comprehensive LinkedIn profile data Analyzes the data to calculate an ICP score based on AI interest, technical depth, and seniority Updates your Google Sheet with the enriched data and the ICP Company score Company ICP Scoring Workflow Our company-focused workflow analyzes company LinkedIn profiles with a comprehensive set of criteria: Company Identity Extraction Company Scale Assessment Business Classification Technical Sophistication Assessment Investment Profile To then calculate the ICP Scoring, it will focus on: AI Implementation Level: Low-5 pts, Medium-10 pts, High-25 pts Technical Sophistication: Basic-5 pts, Intermediate-15 pts, Advanced-25 pts, Expert-35 pts Employee Count: 0-9 employees-5 pts, 10-150 employees-25 pts, 150+ employees-30 pts Automation Agency Status: True-20 pts, False-0 pts Geography: US/Europe Based-10 pts, Other-0 pts Setting Up Your Automation We've created ready-to-use templates for both person and company ICP scoring. Here's how to get started: Configure your connections Connect your Google Sheets account Add your Airtop API key (obtain from the Airtop dashboard) Set up your Google Sheet Ensure your Google Sheet has the necessary columns for input data and result fields Ensure that columns Linkedin_URL_Company and ICP_Score_Company exist at least Configure the Airtop module Set up the Airtop module to use the appropriate LinkedIn extraction prompt Use our provided prompt that extracts company profile data Customization Options While our templates work out of the box, you might want to customize them for your specific needs: Modify the ICP scoring criteria: Adjust the point values or add additional criteria specific to your business Add notification triggers: Set up Slack or email notifications for high-value leads that exceed a certain ICP threshold Implement batch processing: Modify the workflow to process leads in batches to optimize performance Add conditional logic: Create different scoring models for different industries or product lines Integrate with your CRM: Integrate this automation with your preferred CRM to get the details added automatically for you Real-World Applications Here's how businesses are using this automation: AI Sales Platform: A B2B AI company could implement this workflow to process their trade show lead list of contacts. Within hours, they can identify the top 50 prospects based on ICP score. SaaS Analytics Tool: A SaaS company could implement LinkedIn enrichment to identify which companies fit best. The automation processes weekly leads and categorizes them into high, medium, and low priority tiers, allowing their sales team to focus on the most promising opportunities first. Best Practices To get the most out of this automation: Review and refine your ICP criteria quarterly: What constitutes an ideal customer may evolve as your product and market develop Create tiered follow-up processes: Develop different outreach strategies based on ICP score ranges Perform regular data validation: Periodically check the accuracy of the automated scoring against your actual sales results What's Next? Now that you've automated your ICP scoring with LinkedIn data, you might be interested in: Setting up automated outreach sequences based on ICP score thresholds Creating custom reporting dashboards to track conversion rates by ICP segment Expanding your scoring model to include additional data sources Implementing lead assignment automation based on ICP scores Happy automating!
by Airtop
About The ICP Person Scoring Automation Sorting through lists of potential leads manually to determine who's truly worth your sales team's time isn't just tedious, it's incredibly inefficient. Without proper qualification, your team might spend hours pursuing prospects who aren't the right fit for your product, while ideal customers slip through the cracks. How to Automate Identifying Your Ideal Customers With this automation, you'll learn how to automatically score and prioritize leads using data extracted directly from LinkedIn profiles via Airtop's built-in integration with n8n. By the end, you'll have a fully automated workflow that analyzes prospects and calculates an Ideal Customer Profile (ICP) score, helping your sales team focus on high-potential opportunities. What You'll Need A free Airtop API key A copy of this Google Sheets Understanding the Process This automation transforms how you qualify and prioritize leads by extracting real-time, accurate information directly from LinkedIn profiles. Unlike static databases that quickly become outdated, this workflow taps into the most current professional information available. The workflow in this template: Uses Airtop to extract comprehensive LinkedIn profile data Analyzes the data to calculate an ICP score based on AI interest, technical depth, and seniority Updates your Google Sheet with the enriched data and the ICP score Person ICP Scoring Workflow Our person-focused workflow evaluates individual LinkedIn profiles to determine how well they match your ideal customer profile by: Extracting data for each individual Analyzing their profile to determine seniority and technical depth The system then automatically calculates an ICP score based on the following criteria: AI Interest: beginner-5 pts, intermediate-10 pts, advanced-25 pts, expert-35 pts Technical Depth: basic-5 pts, intermediate-15 pts, advanced-25 pts, expert-35 pts Seniority Level: junior-5 pts, mid-level-15 pts, senior-25 pts, executive-30 pts Setting Up Your Automation Here's how to get started: Configure your connections Connect your Google Sheets account Add your Airtop API key (obtain from the Airtop dashboard) Set up your Google Sheet Ensure your Google Sheet has the necessary columns for input data and result fields Ensure that columns Linkedin_URL_Person and ICP_Score_Person exist at least Configure the Airtop module Set up the Airtop module to use the appropriate LinkedIn extraction prompt Use our provided prompt that extracts individual profile data Customization Options While our templates work out of the box, you might want to customize them for your specific needs: Modify the ICP scoring criteria: Adjust the point values or add additional criteria specific to your business Add notification triggers: Set up Slack or email notifications for high-value leads that exceed a certain ICP threshold Implement batch processing: Modify the workflow to process leads in batches to optimize performance Add conditional logic: Create different scoring models for different industries or product lines Integrate with your CRM: Integrate this automation with your preferred CRM to get the details added automatically for you Real-World Applications Here's how businesses are using this automation: AI Sales Platform: A B2B AI company could implement this workflow to process their trade show lead list of contacts. Within hours, they can identify the top 50 prospects based on ICP score. SaaS Analytics Tool: A SaaS company could implement LinkedIn enrichment to identify which companies fit best. The automation processes weekly leads and categorizes them into high, medium, and low priority tiers, allowing their sales team to focus on the most promising opportunities first. Best Practices To get the most out of this automation: Review and refine your ICP criteria quarterly: What constitutes an ideal customer may evolve as your product and market develop Create tiered follow-up processes: Develop different outreach strategies based on ICP score ranges Perform regular data validation: Periodically check the accuracy of the automated scoring against your actual sales results What's Next? Now that you've automated your ICP scoring with LinkedIn data, you might be interested in: Setting up automated outreach sequences based on ICP score thresholds Creating custom reporting dashboards to track conversion rates by ICP segment Expanding your scoring model to include additional data sources Implementing lead assignment automation based on ICP scores Happy automating!
by PiAPI
What does the workflow do? This workflow is designed to generate high-quality short videos, primarily uses GPT-4o-mini (unofficial), Midjourney (unofficial) and Kling (unofficial) APIs from PiAPI and Creatomate API mainly for content creator, social media bloggers and short-form video creators. Through this short video workflow, users can quickly validate their creative ideas and focus more on enhancing the quality of their video concepts. Who is the workflow for? Social Media Influencers: produce content videos based on inspiration efficiently. Vloggers: generate vlogs based on inspiration. Educational Creators: explain specific topics via animated short videos or demonstrate a specific imagined scenario to students for enhanced educational impact. Advertising Agencies: generate short videos based on specific products. AI Tool Developers: automatically generate product demo videos. Step-by-step Instructions Fill in X-API-key of PiAPI account in Basic Params node. Fill in the scenario of the image and video prompt. Set a video template on Creatomate and make an API call in the final node with core and processing modules provided in Creatomate. Before full video generation, you can first use basic assets in Creatomate for a prototype demo, then integrate with n8n after verifying the expected results. Fill in your Creatomate account settings following the image guildline. Click Test Workflow and wait for a generation (within 10~20min). In this workflow, we've established a basic structure for image-to-video generation with subtitle integration. You can further enhance it by adding music nodes using either PiAPI's audio models or your preferred music solution. All video elements will ultimately be composited through Creatomate. For best practice, please refer to PiAPI's official API documentation or Creatomate's API documentation to comprehend more use cases. Use Case Params Settings style: a children’s book cover, ages 6-10. --s 500 --sref 4028286908 --niji 6 character: A gentle girl and a fluffy rabbit explore a sunlit forest together, playing by a sparkling stream situational_keywords: Butterflies flutter around them as golden sunlight filters through green leaves. Warm and peaceful atmosphere Output Video
by Davide
This workflow allows users to convert a 2D image into a 3D model by integrating multiple AI and web services. The process begins with a user uploading or providing an image URL, which is then sent to a generative AI model capable of interpreting the content and generating a 3D representation in .glb format. The model is then stored and a download link is returned to the user. Main Steps Trigger Node: Initiates the workflow either via HTTP request, webhook, or manual execution. Image Upload or Input: The image is acquired via direct upload or URL input. API Integration: The image is sent to a 3D generation API (e.g., a service like Kaedim, Luma Labs, or a custom AI model). Model Generation: The external API processes the image and creates a 3D model. File Storage: The resulting 3D model is stored in cloud storage (e.g., S3, Google Drive, or a local server). Response to User: A download link for the 3D model is returned to the user via the same communication channel (HTTP response, email, or chat). Advantages Automation**: Eliminates the need for manual 3D modeling, saving time for artists, developers, and designers. AI-Powered**: Leverages AI to generate realistic and usable 3D models from simple 2D inputs. Scalability**: Can be triggered automatically and scaled up to handle many requests via n8n's automation. Integration-Friendly**: Easily extendable with other services like Discord, Telegram, or marketplaces for 3D assets. No-Code Configuration**: Built with n8n’s visual interface, making it editable without programming knowledge. How It Works Trigger: The workflow can be started manually ("When clicking ‘Test workflow’") or automatically at scheduled intervals ("Schedule Trigger"). Data Retrieval: The "Get new image" node fetches data from a Google Sheet, including the model image, product image, and product ID. 3D Image Creation: The "Create 3D Image" node sends the image data to the Fal.run API (Trellis) to generate a 3D model. Status Check: The workflow periodically checks the request status ("Get status" and "Wait 60 sec.") until the job is marked as "COMPLETED." Result Processing: Once completed, the 3D model URL is retrieved ("Get Url 3D image"), the file is downloaded ("Get File 3D image"), and uploaded to Google Drive ("Upload 3D Image"). Sheet Update: The final 3D model URL is written back to the Google Sheet ("Update result"). Set Up Steps Prepare Google Sheet: Create a Google Sheet with columns: IMAGE MODEL and 3D RESULT (empty). Example sheet: Google Sheet Template. Obtain Fal.run API Key: Sign up at Fal.ai and get an API key. Configure the Authorization header in the "Create 3D Image" node with Key YOURAPIKEY. Configure Workflow Execution: Run manually via the Test workflow button. For automation, set up the Schedule Trigger node (e.g., every 5 minutes). Verify Credentials: Ensure Google Sheets, Google Drive, and Fal.run API credentials are correctly set in n8n. Once configured, the workflow processes new entries in the Google Sheet, generates 3D models, and updates the results automatically. Need help customizing? Contact me for consulting and support or add me on Linkedin.
by Dmitry Mikheev
Telegram Rich Output Helper Workflow Who is this for? Builders of Telegram chat‑bots, AI assistants, or notification services who already run n8n and need to convert long, mixed‑media answers from an LLM (or any upstream source) into Telegram‑friendly messages. Prerequisites A Telegram bot created with @BotFather. The bot’s HTTP API token saved as a Telegram API credential in n8n. n8n ≥ 1.0 with the built‑in Telegram node still installed. A parent workflow that calls this one via Execute Workflow and passes: chatId — the destination chat ID (integer). output — a string that can contain plain text and HTTP links to images, audio, or video. What the workflow does Extract Links – A JavaScript Code node scans output, deduplicates URLs, and classifies each by file extension. Link Path If no media links exist, the text path is used. Otherwise, each link is routed through a Switch node that triggers the correct Telegram call (sendPhoto, sendAudio, sendVideo) so users get inline previews or players. Text Path An IF node checks whether the remaining text exceeds Telegram’s 1 000‑character limit. When it does, a Code node slices the text at line boundaries; SplitInBatches then sends the chunks sequentially so nothing is lost. All branches converge, keeping the whole exchange inside one execution. Customisation tips Adjust the character limit** – edit the first expression in “If text too long”. Filter/enrich links** – extend the regex or add MIME checks before dispatch. Captions & keyboards** – populate additionalFields in the three “Send back” nodes. Throughput vs. order* – tweak the batch size in both *SplitInBatches** nodes. With this template in place, your users receive the complete message, playable media, and zero manual formatting – all within Telegram’s API limits.
by David Ashby
What it is- I wanted to create a simple, easy-to-use, MCP server for your Discord bot(s). How to set up- Literally all you do is select your bot auth (or crease a new Discord Bot auth if you havn't entered your key in n8n before) and that's IT! How to use it- You can now ask your bot to do things via any MCP client, including from within N8N workflows! Note: If you need an example, you can check out my simple quickstart Discord MCP Server that uses 4o to send messages to channels on your server and users who are members of the server the bot is in. Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free? Join the community
by Klaasjan te Voortwis
Auto Starter On importing workflows these will not be auto started, even if the old version was running. To fix this we created this workflow that can be run after n8n starts. It fits in our auto deploy pipeline and modified n8n container that will import workflows, start n8n and start the tagged workflows. Start this workflow after n8n starts. It will get all workflows in the running n8n instance. If the files have a tag 'Auto start' the workflow will be started. Check our Export workflows with readable names workflow for autostarting workflows after deployment. Configuration You need a a n8n api key configured.
by ConvertAPI
Who is this for? For developers and organizations that need to convert web page to PDF. What problem is this workflow solving? The web page conversion to PDF problem. What this workflow does Converts web page to PDF. Stores the PDF file in the local file system. How to customize this workflow to your needs Open the HTTP Request node. Adjust the URL parameter (all endpoints can be found here). Add your secret to the Query Auth account parameter. Please create a ConvertAPI account to get an authentication secret. Change the parameter url to the webpage you want to convert to pdf Optionally, additional Body Parameters can be added for the converter.
by Miquel Colomer
Do you want to avoid communication problems when launching phone calls? This workflow verifies landline and mobile phone numbers using the uProc Get Parsed and validated phone tool with worldwide coverage. You need to add your credentials (Email and API Key - real -) located at Integration section to n8n. Node "Create Phone Item" can be replaced by any other supported service with phone values, like databases (MySQL, Postgres), or Typeform. The "uProc" node returns the next fields per every parsed and validated phone number: country_prefix: contains the international country phone prefix number. country_code: contains the 2-digit ISO country code of the phone number. local_number: contains the phone number without international prefix. formatted: contains a formatted version of the phone number, according to country detected. valid: detects if the phone number has a valid format and prefix. type: the phone number type (mobile, landline, or something else). "If" node checks if the phone number is valid. You can use the result to mark invalid phone numbers in your database or discard them from future telemarketing campaigns.