by LEDGERS
Before Using this Template first search LEDGERS in the nodes list and Update! The workflow automates contact creation in LEDGERS from a Google Sheets document, while performing validation checks on contact data to ensure data quality. Key Features: ✅ Google Sheets Trigger – Polls the sheet every minute to detect new or updated rows. ✅ Contact Name Validation – Checks if the contact name is provided; sends an email notification if missing. ✅ Email & Mobile Validation – Uses custom code to validate the format of email and mobile fields. ✅ Dynamic Routing – If both email and mobile are valid → proceeds to create the contact in LEDGERS. If either is invalid → sends an error notification via Gmail. ✅ Mobile Number Formatter – Extracts country code and mobile number for consistent formatting before creating the contact. ✅ LEDGERS API Integration – Creates the contact using the LEDGERS custom node. ✅ Error Handling – If contact creation fails (e.g., duplicate email), sends a failure email with details. ✅ Audit Trail – Appends results (including timestamps) back to Google Sheets for record-keeping. Extended Field Support This workflow is designed to be flexible. 👉 Along with core fields (Name, Email, Mobile), users can optionally map and include additional fields when creating a contact in LEDGERS, such as: Mobile Country Code GSTIN Business Name Billing Address 1 Billing Address 2 City State Country ➡ The workflow’s LEDGERS node can be configured to map these fields dynamically from Google Sheets if desired. Customization ✅ Users can extend or modify the workflow to handle these additional fields without needing structural changes — just by updating the mapping in the LEDGERS node parameters. Requirements: A connected Google Sheets document with at least Name column Configured Gmail credentials for sending email notifications A LEDGERS account with API access and credentials set up in n8n
by Maximiliano Rojas-Delgado
Turn Your Ideas into Videos—Right from Google Sheets! This workflow helps you make cool 5-second videos using Fal.AI and Kling 2.1, just by typing your idea into a Google Sheet. You can even choose if you want your video to have sound or not. It’s super easy—no tech skills needed! And the best? 4x Cheaper than Veo3 model with similar quality! Why use this? Just type your idea in a sheet—no fancy tools or uploads. Get a video link back in the same sheet. Works with or without sound—your choice! How does it work? You write your idea, pick the video shape, and say if you want sound (true or false) in the Google Sheet. n8n reads your idea and asks Fal.AI to make your video. When your video is ready, the link shows up in your sheet. What do you need? A Google account and Google Sheets connected with service account (check this link for reference) A copy of the following Google Spreadsheet: Spreadsheet to copy An OpenAI API key A Fal.AI account with some money in it That’s it! Just add your ideas and let the workflow make the videos for you. Have fun creating! if you have any questions, just contact me at max@nervoai.com
by mail
Listen on new emails on a given IMAP mailbox. Converts the binary XML attachment to a stringified xmlproperty on the $data object and converts it to JSON. The Setnode could be replaced with Function nodes for example to do a conversion/mapping/transformation. The JSON is ultimately sent to a HTTP Endpoint via POST. This could be a starter for EDI purposes like receiving or transmitting XML data and conversion via JSON object property mapping.
by Harshil Agrawal
This workflow executes every minute and fetches the recent tweets from Twitter with the search query n8n_io. The workflow is built on the concept of polling. Cron node: The Cron node triggers the workflow every minute. Based on your use-case you can configure the time. You can even use the Interval node to trigger the workflow at a certain time interval. Twitter node: The Twitter node searches for the tweets that contain n8n_io and returns the most recent tweets. You can specify a different search query based on your use-case. Set node: The Set node sets the data that we pass on to the next nodes in the workflow. You can set only the values that you require in your workflow. Function node: All the magic happens in this node. The Twitter node returns all the recent tweets, including the ones which were returned earlier. The Function node, using the getWorkflowStaticData() method, only returns the tweets that are new, i.e., the tweets that were not returned in the previous workflow. Mattermost node: The Mattermost node sends the tweets from the Function node to the Twitter notifications channel. If you don't use Mattermost and want to share this data on a different platform, replace this node with the appropriate node.
by Yaron Been
This workflow provides automated access to the Alitas126 Alitas2 AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Alitas126 Alitas2 model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Alitas126/alitas2 AI model Alitas126 Alitas2**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Anthony
Disclaimer: This template only works on self-hosted for now, as it uses a community node. Use Case Web scrapers often break due to web page layout changes. This workflow attempts to mitigate this problem by auto-generating web scraping data extractor code via LLM. How It Works This workflow leverages ScrapeNinja n8n community node to: scrape webpage HTML, feed it into LLM (Google Gemini) and ask to write a JS extractor function code, then it executes the written JS extractor against scraped HTML to extract useful data from webpage (the code is safely executed in a sandbox) Installation To install ScrapeNinja n8n node, in your self-hosted instance, go to Settings -> Community nodes, enter "n8n-nodes-scrapeninja", and install. Make sure you are using at least v0.3.0. See this in action: https://www.linkedin.com/feed/update/urn:li:activity:7289659870935490560/
by Yaron Been
This workflow provides automated access to the Jfirma1 Test_Model AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Jfirma1 Test_Model model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: test model Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Jfirma1/test_model AI model Jfirma1 Test_Model**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Yaron Been
This workflow provides automated access to the Settyan Flash V2.0.0 Beta.7 AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Settyan Flash V2.0.0 Beta.7 model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Settyan/flash-v2.0.0-beta.7 AI model Settyan Flash V2.0.0 Beta.7**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Yaron Been
This workflow provides automated access to the Creativeathive Lemaar Doorhandle Newset AI model through the Replicate API. It saves you time by eliminating the need to manually interact with AI models and provides a seamless integration for other generation tasks within your n8n automation workflows. Overview This workflow automatically handles the complete other generation process using the Creativeathive Lemaar Doorhandle Newset model. It manages API authentication, parameter configuration, request processing, and result retrieval with built-in error handling and retry logic for reliable automation. Model Description: Advanced AI model for automated processing and generation tasks. Key Capabilities Specialized AI model with unique capabilities** Advanced processing and generation features** Custom AI-powered automation tools** Tools Used n8n**: The automation platform that orchestrates the workflow Replicate API**: Access to the Creativeathive/lemaar-doorhandle-newset AI model Creativeathive Lemaar Doorhandle Newset**: The core AI model for other generation Built-in Error Handling**: Automatic retry logic and comprehensive error management How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Replicate API: Add your Replicate API token to the 'Set API Token' node Customize Parameters: Adjust the model parameters in the 'Set Other Parameters' node Test the Workflow: Run the workflow with your desired inputs Integrate: Connect this workflow to your existing automation pipelines Use Cases Specialized Processing**: Handle specific AI tasks and workflows Custom Automation**: Implement unique business logic and processing Data Processing**: Transform and analyze various types of data AI Integration**: Add AI capabilities to existing systems and workflows Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Replicate API**: https://replicate.com (Sign up to access powerful AI models) #n8n #automation #ai #replicate #aiautomation #workflow #nocode #aiprocessing #dataprocessing #machinelearning #artificialintelligence #aitools #automation #digitalart #contentcreation #productivity #innovation
by Vitali
Workflow Description: This n8n workflow automates the drafting of email replies for Fastmail using OpenAI's GPT-4 model. Here’s the overall process: Email Monitoring: The workflow continuously monitors a specified IMAP inbox for new, unread emails. Email Data Extraction: When a new email is detected, it extracts relevant details such as the sender, subject, email body, and metadata. AI Response Generation: The extracted email content is sent to OpenAI's GPT-4, which generates a personalized draft response. Get Fastmail Session and Mailbox IDs: Connects to the Fastmail API to retrieve necessary session details and mailbox IDs. Draft Identification: Identifies the "Drafts" folder in the mailbox. Draft Preparation: Compiles all the necessary information to create the draft, including the generated response, original email details, and specified recipient. Draft Uploading: Uploads the prepared draft email to the "Drafts" folder in the Fastmail mailbox. Prerequisites: IMAP Email Account: You need to configure an IMAP email account in n8n to monitor incoming emails. Fastmail API Credentials: A Fastmail account with JMAP API enabled. You should set up HTTP Header authentication in n8n with your Fastmail API credentials. OpenAI API Key: An API key from OpenAI to access GPT-4. Make sure to configure the OpenAI credentials in n8n. Configuration Steps: Email Trigger (IMAP) Node: Provide your email server settings and credentials to monitor emails. HTTP Request Nodes for Fastmail: Set up HTTP Header authentication in n8n using your Fastmail API credentials. Replace the httpHeaderAuth credential IDs with your configured credential IDs. OpenAI Node: Configure the OpenAI API key in n8n. Replace the openAiApi credential ID with your configured credential ID. By following these steps and setting up the necessary credentials, you can seamlessly automate the creation of email drafts in response to new emails using AI-generated content. This workflow helps improve productivity and ensures timely, personalized communication.
by Muhammad Zeeshan Ahmad
Platform: n8n (Telegram Bot Integration) Purpose: Let users fetch top meme coin prices in real-time using a simple /memecoin Telegram command How It Works (Logic Breakdown) This flow listens for a Telegram command and fetches data from the CoinGecko API to respond with live memecoin prices. 🔹 1. Telegram Trigger Node Listens for incoming Telegram messages from users. Activated when a message is sent in a Telegram chat connected to the bot. Passes the raw message (e.g., /memecoin) to the next node. 🔹 2. IF Node – Check if Message is /memecoin Condition: {{$json"message"}} === "/memecoin" If true ➝ continue to fetch data from CoinGecko. If false ➝ nothing happens. 🔹 3. HTTP Request – Fetch Meme Coins from CoinGecko API: https://api.coingecko.com/api/v3/coins/markets?...category=meme-token Fetches top 5 meme tokens by market cap. Data includes: Name Symbol Current price (USD) Coin ID (for URL linking) 🔹 4. Function Node – Format the Message Parses the JSON response from CoinGecko. Builds a clean message like: ruby Copy Edit 🚀 Dogecoin (DOGE) 💰 Price: $0.123 🔗 More: https://www.coingecko.com/en/coins/dogecoin Loops through top 5 meme coins and adds line breaks. 🔹 5. Telegram Send Node – Reply to User Sends the formatted message to the original chat. Uses chat_id from the trigger to ensure correct user receives it. 🖼 Sample User Flow 👤 User types /memecoin in Telegram bot 🤖 Bot fetches meme coin prices 📬 Bot replies with live prices + links
by Oneclick AI Squad
This automated n8n workflow qualifies B2B leads via voice calls using the VAPI API and integrates the collected data into Google Sheets. It triggers when a new lead’s phone number is added, streamlining lead qualification and data capture. What is VAPI? VAPI is an API service that enables voice call automation, used here to qualify leads by capturing structured data through interactive calls. Good to Know VAPI API calls may incur costs based on usage; check VAPI pricing for details. Ensure Google Sheets access is properly authorized to avoid data issues. Use credential fields for the HTTP Request node 'Bearer token' instead of hardcoding. Use a placeholder Google Sheet document ID (e.g., "your-sheet-id-placeholder") to avoid leaking private data. How It Works Detect when a new phone number is added for a lead using the New Lead Captured node. Use the Receive Lead Details from VAPI node to capture structured data (name, company, challenges) via a POST request. Trigger an outbound VAPI call to qualify the lead with the Initiate Voice Call (VAPI) node. Store the collected data into a Google Sheet using the Save Qualified Lead to CRM Sheet node. Send a success response back to VAPI with the Send Call Data Acknowledgement node. How to Use Import the workflow into n8n. Configure VAPI API credentials in the HTTP Request node using credential fields. Set up Google Sheets API access and authorize the app. Create a Google Sheet with the following columns: Name (text), Company (text), Challenges (text), Date (date). Test with a sample lead phone number to verify call initiation and data storage. Adjust the workflow as needed and retest. Requirements VAPI API credentials Google Sheets API access Customizing This Workflow Modify the Receive Lead Details from VAPI node to capture additional lead fields or adjust call scripts for specific industries.