by Paul Mikulskis
This template is based on the following template. Thank you for the groundwork, Matheus. How it works: Store your snippets of text in a Notion table. Each snippet should have an image associated with it (copy + pasted into the text) Connect to your table via a Notion "integration", from which N8N can then query your pre-meditated posts The text is fed through an OpenAI assistant to boost engagement via formatting The re-formatted text along with the image pulled from the Notion snippet are combined into a post for your LinkedIn The row in the original Notion table from step 1 containing this post is set to a status of "Done" Set up steps: You will need to create a Notion "integration", which will yield a "secret key" which you enter into your N8N as a "Credential". You will need to create a LinkedIn "app" in order to post on your behalf. When creating your LinkedIn "app", you will be required to link this "app" to a company page on LinkedIn. If you are doing this for yourself, seach for the "Default Company Payge (for API testing)", and select this page as it is provided by LinkedIn for individuals. You can find your LinkedIn apps here, and if you get stuck, further instructions on setting up this workflow (including this LinkedIn OAuth piece) can be found in this YouTube Video Aide to these instructions. Lastly, you will need to create an OpenAI API key, found on your OpenAI Playground Dashboard. Once you created an API key, make sure you have an assistant created from the "Assistants" tab on the OpenAI dashboard. This assistant and its instructions will be needed for carrying out the re-formatting of your post.
by M Shehroz Sajjad
Transform your BeyondPresence video agent conversations into comprehensive insights by automatically analyzing each call with AI and organizing 35+ data points in Google Sheets. This template helps customer success, support, and training teams save 30+ minutes per call on documentation while ensuring no critical action items or insights are missed. How it works Webhook receives** completed call data from BeyondPresence including full transcript Data validation** ensures quality and adds enriched metadata (duration, time calculations) AI analysis** (GPT-4) extracts action items, sentiment, decisions, and recommendations Parse response** handles the AI output and structures it for sheets Auto-append** to Google Sheets with 35+ insights per call organized beautifully Set up steps Copy our Google Sheets template - One click! Get pre-formatted sheet: BeyondPresence Call Analytics Template Connect accounts - Add OpenAI API key and Google Sheets OAuth2 Configure webhook - Copy URL from n8n to BeyondPresence Settings → Webhooks Customize AI prompt (optional) - Adjust analysis focus for your use case Test with a call - Make a test call and watch insights appear! Setup time: 5-10 minutes Requirements: BeyondPresence account, OpenAI API key, Google account
by Agentick AI
This n8n template demonstrates how to use AI to score the all Resumes by matching it with Job profile Problem Statement: A Hr person is flooded with resume and spends hours manually checking each to find most suitable ones. How it works It is linked to Gmail Trigger which upon receving any mail with specific subject will check for the attachment. Attachment will be parsed to understand the resume Candidate informtion will be broken into Personal, Eductional and Professional type Job profile will be pulled from Notion Board A HR expert powered by Gemini LLM will score each profile on basis on its relevancy Information will be updated back to Gsheet Message lable will be updated back for clarity How to use The gmail trigger node is used as an example but feel free to replace this with other triggers such as webhook or even a form. Requirements Gemini account for LLM Google sheet for upload Gmail as trigger Llama parse credentials
by Nathan Lee
How it works Automates the retrieval of Calvin and Hobbes daily comics. Extracts the comic image URL from the website. Translates comic dialogues to English and Korean. Posts the comic and translations to Discord daily. Set up steps Estimated setup time: ~10-15 minutes. Use a Schedule Trigger to automate the workflow at 9 AM daily. Add nodes for parameter setup, HTTP request, data extraction, and integration with Discord. Add detailed notes to each node in the workflow for easy understanding.
by Laura Piraux
This n8n workflow template uses community nodes and is only compatible with the self-hosted version of n8n. Build an AI agent for Notion (with Notion official MCP server) Use case This template empowers Notion power-users to build their own AI assistant, deeply integrated with their workspace. It solves the constant problem of copy-pasting and context-switching between a separate AI chat and Notion by creating a direct, conversational bridge. Now you can interact with an intelligent agent that can create, retrieve, and update your Notion databases and pages on your behalf, turning your workspace into a truly dynamic productivity hub. How it works When you send a message via the chat interface, the workflow passes it to your chosen AI model. The model, connected to the official Notion tool server, analyzes your request to see if it can be fulfilled by one of its available Notion actions. If it matches a tool, the workflow executes the command using the Notion API—like creating a new page or searching a database—and the AI then confirms the action is complete back in the chat. Setup Prerequisite: This template is for self-hosted n8n instances only, as it requires a community node. Copy this workflow into your self-hosted n8n instance Install the required community node (n8n-nodes-mcp). Add your credentials for your chosen AI Model and the Notion MCP Server. Test the workflow by starting chatting with your new Notion assistant. How to adjust it to your needs You can use the AI model you want and even easily compare different AI models. You can start from this template and then provide other tools to your AI agent to build more powerful workflows.
by Adam Janes
This workflow demonstrates a simple way to run evals on a set of test cases stored in a Google Sheet. The example we are using comes from an info extraction task dataset, where we tested 6 different LLMs on 18 different test cases. This workflow extends the functionality of my simple eval for benchmarking legal tasks here. Rather than running executions sequentially (waiting for each one to respond before making another request), we use parallel processing to fire 2 requests every second. You can see our sample data in this spreadsheet here to get started. Once you have this working for our dataset, you can plug in your own test cases matching different LLMs to see how it works with your own data. How it works Pull our test cases from Google Sheets. For each case, fire off an HTTP request to a webhook. That webhook grabs the relevant source file from Google Drive and converts it to text. The text gets sent to an LLM via Open Router (so we can easily swap out models). Results come back and are logged in Google Sheets. Set up steps: Add your credentials for Google Sheets, Google Drive, and OpenRouter. Make a copy of the original data spreadsheet so that you can edit it yourself. You will need to plug your version in the Update Results node to see the spreadsheet update on each run of the loop.
by Un tal Camilo Medina
🤖 Telegram Bot Webhook Configuration Tool This workflow creates a simple web form that helps you configure Telegram bot webhooks quickly. Instead of manually constructing the Telegram API URL, this tool does it for you automatically. How It Works The workflow consists of three main steps: Form Input: A web form collects your bot token and webhook URL URL Construction: Automatically builds the correct Telegram API URL Redirect: Takes you directly to the Telegram API to complete the configuration What You Need Bot Token**: Get this from @BotFather on Telegram (format: 123456789:ABCdefGHIjklMNOpqrsTUVwxyz) Webhook URL**: Your n8n webhook endpoint (must be HTTPS) Setup Instructions Import this workflow into your n8n instance Activate the workflow Access the generated form URL Fill in your bot details and submit Form Fields | Field | Description | Example | |-------|-------------|---------| | Bot API Token | Token from BotFather | 123456789:ABCdefGHIjklMNOpqrsTUVwxyz | | Webhook URL | Your n8n webhook endpoint | https://your-instance.app.n8n.cloud/webhook/telegram | What Happens You enter your bot token and webhook URL in the form The workflow constructs this URL: https://api.telegram.org/bot{TOKEN}/setWebhook?url={WEBHOOK_URL} You're redirected to that URL where Telegram configures your webhook Telegram shows you a success or error message Benefits No Manual URL Building**: Eliminates copy-paste errors Quick Setup**: Configure webhooks in seconds Privacy Focused**: No data is stored anywhere Team Friendly**: Share the form URL with team members Common Webhook URLs n8n Cloud: https://your-instance.app.n8n.cloud/webhook/telegram-bot Self-hosted: https://your-domain.com/webhook/telegram-bot Requirements n8n with form trigger support Valid Telegram bot token Publicly accessible webhook URL (HTTPS required) Troubleshooting Invalid Token Error: Make sure you copied the complete token from BotFather Webhook Error: Ensure your URL is publicly accessible and uses HTTPS SSL Error: Verify your webhook URL has a valid SSL certificate This tool simply automates the manual process of visiting the Telegram API URL to configure your bot's webhook. Perfect for developers who frequently set up or change Telegram bot configurations.
by Henry
Who is this for? This workflow is ideal for social media managers, content creators, marketers, and small businesses who want to automate Instagram Carousel posts using Google Sheets and Google Drive. It is also suitable for anyone looking to streamline repetitive Instagram publishing tasks with n8n, Cloudinary, and the Instagram Graph API. What problem is this workflow solving? / Use case Managing and publishing Instagram Carousel posts manually can be time-consuming, especially when handling multiple accounts or campaigns. This workflow solves that by automatically fetching scheduled posts from Google Sheets, uploading images from Google Drive to Cloudinary, and publishing them to Instagram, saving time and reducing the risk of errors. What this workflow does This n8n workflow checks a Google Sheet every 5 minutes for new Carousel posts marked as "ToDo." When found, it uploads images from a specified Google Drive folder to Cloudinary, prepares the media on Instagram using the Graph API, and publishes the Carousel post with the given caption. Setup Prepare a Google Sheet to track posts and image folder URLs. Example : https://docs.google.com/spreadsheets/d/1WEUHeQXFMYsWVAW3DykWwpANxxD3DxH-S6c0i06dW1g/edit?usp=sharing Upload post images to a dedicated Google Drive folder. Set up a Cloudinary account and gather API credentials. Obtain Instagram access_token and ig_business_id for API publishing. Configure the n8n workflow with required credentials and your custom intervals. How to customize this workflow to your needs Adjust the schedule trigger interval to fit your publishing frequency. Expand the Google Sheet with additional metadata as required. Modify the filter logic to support different content types or statuses. Add extra automation steps, such as sending notifications after publishing.
by Jean-Marie Rizkallah
🧩 Jamf Patch Summary to Slack Stay on top of software patch compliance by automatically posting Jamf patch summaries to Slack. This helps IT and security teams quickly identify outdated installs and take action—without logging into Jamf. ✅ Prerequisites • A Jamf Pro API key with permissions to read software titles and patch summary • A Slack app or incoming webhook URL with permission to post messages to your desired channel 🔍 How it works • Manually trigger the flow or Add a webhook • Fetch a list of software titles from Jamf Pro • Filter to select the software you're tracking (e.g. Chrome, Edge) • Retrieve the patch summary for that software (latest version, up-to-date, out-of-date counts) • Format the summary into Slack Block Kit • Post the formatted summary into a Slack channel ⚙️ Set up steps • Takes ~5–10 minutes to configure • Set your server BaseURL variable in the Set Node • Add your Jamf Pro API credentials in the HTTP Request nodes (Get & Retrieve) • Set the target software ID in the Filter node • Add your Slack webhook URL or token in the final HTTP node • Optional: Adjust Slack formatting inside the Function node
by Oneclick AI Squad
This n8n workflow automates the collection and processing of trip feedback data using Google Sheets as the backend. When new users are added to the system, they automatically receive feedback forms via email, and all responses are systematically processed and stored in Google Sheets for analysis and record-keeping. Good to know The delay buffer prevents system overload and ensures data integrity before sending notifications. All feedback data is automatically organized and maintained in Google Sheets for easy access and analysis. The workflow handles both new user onboarding and trip feedback submission seamlessly. How it works The Trigger - New User Entry node detects when a new user is added to the Google Sheets feedback form database. The Delay - Process Buffer node introduces a processing delay to ensure data is fully processed before sending notifications, avoiding premature actions. The Send Email To That New User node automatically sends a feedback form email to the newly registered user. When a user submits their trip feedback, the Trigger - Trip Form Submission node captures the submission. The Tack All Feedback Item node iterates over each form submission item to process multiple entries if present, ensuring all feedback data is handled. The Update - Trip Feedback Sheet node appends or updates the trip feedback data in the Google Sheets, maintaining an organized record of all responses. How to use Import the workflow into n8n and configure the nodes with your Google Sheets API credentials and email service settings. Set up your Google Sheets with the appropriate columns for user data and feedback responses. Test the workflow by adding a new user entry to verify email delivery and feedback processing. Requirements Google Sheets API credentials with read/write permissions Email service configuration (SMTP or email API) Access to Google Sheets containing user data and feedback forms Customising this workflow Modify the email template in the Send Email To That New User node to match your branding and feedback requirements. Adjust the delay timing in the Delay - Process Buffer node based on your system's processing needs. Customize the Google Sheets structure and update the Update - Trip Feedback Sheet node accordingly to match your data organization preferences.
by Henry
Who is this for? This workflow is ideal for social media managers, content creators, marketing teams, and automation enthusiasts looking to streamline their Instagram Reels posting from Google Drive using n8n, Google Sheets, and Cloudinary. What problem is this workflow solving? / Use case Manually downloading video files, uploading to third-party platforms, and posting to Instagram Reels is time-consuming. This workflow automates the whole process, ensuring timely, consistent content delivery and reducing manual errors. What this workflow does Automatically fetches scheduled Reel content from Google Sheets (Sample link) Downloads video files from Google Drive folders Uploads videos to Cloudinary for hosting Posts the videos as Instagram Reels with custom captions Updates the Google Sheet to mark content as posted Setup Prepare a Google Drive folder set to public sharing for your videos Create a Cloudinary account and configure upload presets Connect an Instagram Business account (linked to a Facebook Page) Set up a Google Sheet with video post details: Video Name, Type, Caption, Status Configure the workflow schedule in n8n How to customize this workflow to your needs Adjust the schedule for desired posting frequency Add fields to your sheet for custom tags or content variations Change the Cloudinary or Instagram settings for different media types Integrate additional steps for error handling or approval workflows
by Niklas Hatje
This template shows how to use the Question and Answer tool to save costs in RAG use cases. Who is this for? This template is for everyone who wants to start giving knowledge to their Agents through RAG. Requirements Have a PDF with custom knowledge that you want to provide to your agent. Setup No setup required. Just hit Execute Workflow, upload your knowledge document and then start chatting. How to customize this to your needs Add custom instructions to your Agent by changing the prompts in it. Add a different way to load in knowledge to your vector store, e.g. by looking at some Google Drive files or loading knowledge from a table. Describe your data properly in the Q&A tool Exchange the Simple Vector Store nodes with your own vector store tools ready for production. Add a more sophisticated way to rank files found in the vector store. For more information read our docs on RAG in n8n.