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487 n8n Airtable workflow templates

The Airtable node lists, creates, updates and deletes records in a base, and its trigger polls a view for rows that are new or changed. Airtable sits between a spreadsheet and a database — typed fields and saved views, but no schema migrations to run — so the templates here tend to use a base as the state store for a process that runs over several steps.

  • Handling Appointment Leads and Follow-up With Twilio, Cal.com and AI

    by Jimleukweb23,186 clicks

    This n8n workflow builds an appointment scheduling AI agent which can Take enquiries from prospective customers and help them book an appointment by checking appointment availability Where no appointment is booked, the Agent is able to send follow-up messages to re-engage leads. After an appointment is booked, the agent is able reschedule or even cancel the booking for the user without human intervention. For small outfits, this workflow could contribute the necessary "man-power" required to increase business sales. The sample Airtable can be found here: https://airtable.com/appO2nHiT9XPuGrjN/shroSFT2yjf87XAox 2024-10-22 Updated to Cal.com API v2. How it works The customer sends an enquiry via SMS to trigger our workflow. For this trigger, we'll use a Twilio webhook. The prospective or existing customer's number is logged in an Airtable Base which we'll be using to track all our enquries. Next, the message is sent to our AI Agent who can reply to the user and decide if an appointment booking can be made. The reply is made via SMS using Twilio. A scheduled trigger which runs every day, checks our chat logs for a list of prospective customers who have yet to book an appointment but still show interest. This list is sent to our AI Agent to formulate a personalised follow-up message to each lead and ask them if they want to continue with the booking. The follow-up interaction is logged so as to not to send too many messages to the customer. Requirements A Twilio account to receive customer messages. An Airtable account and Base to use as our datastore for enquiries. Cal.com account to use as our scheduling service. OpenAI account for our AI model. Customising this workflow Not using Airtable? Swap this out for your CRM of choice such as hubspot or your own service. Not using Cal.com? Swap this out for API-enabled services such as Acuity Scheduling or your own service. An n8n automation workflow template by Jimleuk.

    • 8 nodes
    • 23,186 views

    Workflow detailsImport from n8n.ioAutomation, AI

  • Website Content Scraper & SEO Keyword Extractor with GPT-5-mini and Airtable

    by Abhishek Patoliyaweb21,070 clicks

    This workflow allows you to scrape website content, clean the HTML, extract structured information using GPT-5-mini, and store the results along with SEO keywords into Airtable. Ideal for building keyword lists and organizing web content for SEO research. Setup Instructions 1. Prerequisites n8n Community or Cloud instance Airtable account with a base and table ready OpenAI API Key with access to GPT-5-mini 2. Airtable Structure Ensure your Airtable table has the following fields: | Field Name | Type | Notes | | ------------ | ------- | ------------------------------- | | Website Name | String | Name or URL of the website | | Data | String | Cleaned website text | | Keyword | String | Extracted SEO keyword list | | Status | Options | Values: Todo, In progress, Done | 3. Node Setup ✅ Form Trigger: Collects website URL from the user. ✅ HTTP Request: Fetches the website content. ✅ HTML Cleaner (Code Node): Strips out styles, tags, and whitespace to get clean text. ✅ Topic Extractor (AI Agent + GPT-5-mini): Extracts topic-wise information from the cleaned website content. ✅ Text Cleaner (Code Node): Removes unwanted symbols like ### and **. ✅ Keyword Extractor (AI Agent + GPT-5-mini): Generates a list of 90 important SEO keywords. ✅ Airtable Upsert: Stores the cleaned data, keywords, and status in Airtable. 4. Key Features ✅ Automatic website content scraping ✅ Clean HTML and extract plain text ✅ Use GPT-5-mini for topic-wise information extraction ✅ Generate 90-keyword SEO lists ✅ Store and manage data in Airtable 5. Use Cases SEO Keyword Research Competitor Website Content Analysis Structured Website Data Collection Additional Workflow Recommendations ✅ Rename Nodes for Clarity | Current Name | Suggested Name | | ------------ | ------------------------------- | | Website Name | Website URL Input Form | | HTTP Request | Fetch Website Content | | Code | HTML to Plain Text Cleaner | | Split Out1 | Clean Text Splitter | | AI Agent1 | Topic Extractor (GPT-5-mini) | | Code1 | Text Cleanup Formatter | | Split Out2 | Final Text Splitter | | AI Agent | Keyword Extractor (GPT-5-mini) | | Airtable | Airtable Data Upsert | | Wait1 | Delay Before Merge | | Merge | Combine Data for Airtable |. An n8n automation workflow template by Abhishek Patoliya.

    • 5 nodes
    • 21,070 views

    Workflow detailsImport from n8n.ioAutomation, AI

  • AI-Powered Social Media Amplifier

    by Mudit Junejaweb16,968 clicks

    > Reach out to me for any setup help/consulting. Automate the curation and sharing of trending GitHub discussions from Hacker News to Twitter and LinkedIn. This workflow leverages AI to generate engaging posts, streamlining your social media content creation and distribution. How it Works Crawl Hacker News for GitHub Posts: The workflow fetches trending GitHub-related discussions from Hacker News. Extract Key Information: Relevant data such as post titles, URLs, and metadata are extracted and filtered to focus only on unposted content. Fetch Additional Details: For each GitHub post, the workflow retrieves extra information from the GitHub repository page to enrich the post content. Generate Social Media Posts: Using AI, the workflow automatically generates tailored posts for Twitter and LinkedIn based on the collected data. Post to Twitter & LinkedIn: The generated content is posted to your Twitter and LinkedIn accounts. Track and Log Posts: Each post is logged in Airtable for tracking, and its status is updated to ensure no duplicate posts are made. Telegram Notification: After posting, a summary of the posts is sent to your Telegram chat for real-time updates. Requirements n8n Account**: Set up and configured. Sign up here. API Credentials**: Valid keys for LinkedIn, Twitter, Airtable, OpenAI, and Telegram. Airtable Base**: Configured with fields such as Title, URL, Post Content, Status, and Timestamp. Get started with Airtable. Telegram Chat ID**: For receiving real-time notifications. Set Up Steps Clone the Workflow: Import the workflow into your n8n environment using the provided JSON. Configure API Credentials: Enter your API keys for LinkedIn, Twitter, Airtable, OpenAI, and Telegram into the respective nodes. Set Up Airtable Base: Create an Airtable base with fields such as Title, URL, Post Content, Status, and Timestamp. Customize Telegram Chat ID: Modify the 'Ping me' node with your Telegram chat ID to receive notifications. Run the Workflow: Activate the workflow to start the automated content curation and posting process. Additional Resources n8n AI Agentic Workflows Guide n8n AI Workflow Tutorial n8n Community Tutorial on Building an AI-Powered Telegram Bot > Note: Chat GPT prompt should/can be tweaked in the step to give the desired behaviour. Sample Posts from my X and LinkedIn -**. An n8n automation workflow template by Mudit Juneja.

    • 7 nodes
    • 16,968 views

    Workflow detailsImport from n8n.ioAutomation, AI

  • Technical stock analysis with Telegram, Airtable and a GPT-powered AI Agent

    by Mark Shcherbakovweb16,634 clicks

    Video Guide I prepared a detailed guide that demonstrates the complete process of building a trading agent automation using n8n and Telegram, seamlessly integrating various functions for stock analysis. Youtube Link Who is this for? This workflow is perfect for traders, financial analysts, and developers looking to automate stock analysis interactions via Telegram. It’s especially valuable for those who want to leverage AI tools for technical analysis without needing to write complex code. What problem does this workflow solve? Many traders desire real-time analysis of stock data but lack the technical expertise or tools to perform in-depth analysis. This workflow allows users to easily interact with an AI trading agent through Telegram for seamless stock analysis, chart generation, and technical evaluation, all while eliminating the need for manual interventions. What this workflow does This workflow utilizes n8n to construct an end-to-end automation process for stock analysis through Telegram communication. The setup involves: Receiving messages via a Telegram bot. Processing audio or text messages for trading queries. Transcribing audio using OpenAI API for interpretation. Gathering and displaying charts based on user-specified parameters. Performing technical analysis on generated charts. Sending back the analyzed results through Telegram. Setup Prepare Airtable: Create simple table to store tickers. Prepare Telegram Bot: Ensure your Telegram bot is set up correctly and listening for new messages. Replace Credentials: Update all nodes with the correct credentials and API keys for services involved. Configure API Endpoints: Ensure chart service URLs are correctly set to interact with the corresponding APIs properly. Start Interaction: Message your bot to initiate analysis; specify ticker symbols and desired chart styles as required. An n8n automation workflow template by Mark Shcherbakov.

    • 8 nodes
    • 16,634 views

    Workflow detailsImport from n8n.ioAutomation, AI

  • Automate Call Scheduling with Voice AI Receptionist using Vapi, Google Calendar & Airtable

    by SuperAgentweb15,822 clicks

    Who is this template for? This template is ideal for small businesses, agencies, and solo professionals who want to automate appointment scheduling and caller follow-up through a voice-based AI receptionist. If you’re using tools like Google Calendar, Airtable, and Vapi (Twilio), this setup is for you. What problem does this workflow solve? Manual call handling, appointment booking, and email coordination can be time-consuming and prone to errors. This workflow solves that by automating the receptionist role: answering calls, checking calendar availability, managing appointments, and storing call summaries—all without human intervention. What this workflow does This Agent Receptionist manages inbound voice calls and scheduling tasks using Vapi and Google Calendar. It checks availability, books or updates calendar events, sends email confirmations, and logs call details into Airtable. The workflow includes built-in logic for slot management, email triggers, and storing call transcripts. Setup Instructions Duplicate Airtable Base: Use this Airtable base templateBASE LINK Import Workflow: Load provided JSON into your n8n instance. Credentials: Connect your Google Calendar and Airtable credentials in n8n. Activate Workflow: Enable workflow to get live webhook URLs. Vapi Configuration: Paste provided system prompt into Vapi Assistant. Link the appropriate webhook URLs from n8n (GetSlots, BookSlots, UpdateSlots, CancelSlots, and end-of-call report). Disclaimer Optimized for cloud-hosted n8n instances. Self-hosted users should verify webhook and credential setups. An n8n automation workflow template by SuperAgent.

    • 3 nodes
    • 15,822 views

    Workflow detailsImport from n8n.ioAutomation

  • AI Agent to chat with Airtable and analyze data

    by Mark Shcherbakovweb13,388 clicks

    Video Guide I prepared a detailed guide that shows the entire process of building an AI agent that integrates with Airtable data in n8n. This template covers everything from data preparation to advanced configurations. Youtube Link Who is this for? This workflow is designed for developers, data analysts, and business owners who want to create an AI-powered conversational agent integrated with Airtable datasets. It is particularly useful for users looking to enhance data interaction through chat interfaces. What problem does this workflow solve? Engaging with data stored in Airtable often requires manual navigation and time-consuming searches. This workflow allows users to interact conversationally with their datasets, retrieving essential information quickly while minimizing the need for complex queries. What this workflow does This workflow enables an AI agent to facilitate chat interactions over Airtable data. The agent can: Retrieve order records, product details, and other relevant data. Execute mathematical functions to analyze data such as calculating averages and totals. Optionally generate maps for geographic data visualization. Dynamic Data Retrieval: The agent uses user prompts to dynamically query the dataset. Memory Management: It retains context during conversations, allowing users to engage in a more natural dialogue. Search and Filter Capabilities: Users can perform tailored searches with specific parameters or filters to refine their results. Set up steps Separate workflows: Create additional workflow and move there Workflow 2. Replace credentials: Replace connections and credentials in all nodes. Start chat: Ask questions and don't forget to mention required base name. An n8n automation workflow template by Mark Shcherbakov.

    • 7 nodes
    • 13,388 views

    Workflow detailsImport from n8n.ioAutomation, AI

  • Copy Viral Reels with Gemini AI

    by Mark Shcherbakovweb11,867 clicks

    Video Guide I prepared a detailed guide that shows the whole process of building an AI tool to analyze Instagram Reels using n8n. Youtube Link Who is this for? This workflow is ideal for social media analysts, digital marketers, and content creators who want to leverage data-driven insights from their Instagram Reels. It's particularly useful for those looking to automate the analysis of video performance to inform strategy and content creation. What problem does this workflow solve? Analyzing video performance on Instagram can be tedious and time-consuming, requiring multiple steps and data extraction. This workflow automates the process of fetching, analyzing, and recording insights from Instagram Reels, making it simpler for users to track engagement metrics without manual intervention. What this workflow does This workflow integrates several services to analyze Instagram Reels, allowing users to: Automatically fetch recent Reels from specified creators. Analyze the most-watched videos for insights. Store and manage data in Airtable for easy access and reporting. Initial Trigger: The process begins with a manual trigger that can later be modified for scheduled automation. Data Retrieval: It connects to Airtable to fetch a list of creators and their respective Instagram Reels. Video Analysis: It handles the fetching, downloading, and uploading of videos for analysis using an external service, simplifying performance tracking through a structured query process. Record Management: It saves relevant metrics and insights into Airtable, ensuring that users can access and organize their video analytics effectively. Setup Create accounts: Set up Airtable, Edify, n8n, and Gemini accounts. Prepare triggers and modules: Replace credentials in each node accordingly. Configure data flow: Ensure modules are set to fetch and analyze the correct data fields as outlined in the guide. Test the workflow: Run the scenario manually to confirm that data is fetched and analyzed correctly. An n8n automation workflow template by Mark Shcherbakov.

    • 2 nodes
    • 11,867 views

    Workflow detailsImport from n8n.ioAutomation

  • Create new wordpress posts with a featured Image with Airtable

    by Zacharia Kimothoweb11,498 clicks

    This workflow is aimed to create new posts in wordpress automatically from an airtable dashboard. When creating content in bulk, we can save time by automating how we can post and publish this content. Usage Get the content from Airtable. Since we have this as a markdown, we will have to convert it to a html format to make it easier to publish and manage on WordPress Upload the blog post with the content, title and all other relevant information needed for an optimized blog Once the post is posted, we need to upload the image and set it as a features image for the blogs Happy productivity. An n8n automation workflow template by Zacharia Kimotho.

    • 3 nodes
    • 11,498 views

    Workflow detailsImport from n8n.ioAutomation

  • Get Qualified Leads in One Click from Apollo to Airtable

    by Not Another Marketerweb9,807 clicks

    You Don’t Need More Tools. You Just Need the Right Leads. Why spend $1,000s on lead gen when your perfect leads are already waiting in Apollo? You’ve already filtered the ideal prospects. You know who they are, where they work, and what they do. Now imagine turning that list into enriched, ready-to-contact leads—without paying pricey Apollo's recurring subscription (spoiler: you will pay only 0.60$ per 500 leads). From Filter to Outreach-Ready in Seconds With the Lead Generation System, you just drop your Apollo search URL. The workflow does the rest: ✅ Scrapes all matching contacts from your Apollo filter ✅ Enriches and organizes the data (names, roles, emails, LinkedIns, companies, etc.) ✅ Delivers the final lead list to Airtable—or your CRM of choice No more manual exports. No CSV mess. No VA needed. Just qualified leads, cleaned and ready to go. Perfect For Founders doing DIY outbound Growth marketers scaling cold email Agencies running lead-gen for clients Anyone tired of paying too much for messy, outdated lists Setup Guide I built a step-by-step guide to setup this workflow in 5 to 10 minutes, available here: https://notanothermarketer.gitbook.io/home/templates/lead-generation This template is free. Enjoy!. An n8n automation workflow template by Not Another Marketer.

    • 2 nodes
    • 9,807 views

    Workflow detailsImport from n8n.ioAutomation

  • Handling Job Application Submissions with AI and n8n Forms

    by Jimleukweb9,776 clicks

    This n8n template leverages n8n's multi-form feature to build a 2 part job application submission journey which aims to eliminate the need for applicants to re-enter data found on their CVs/Resumes. How it works The application submission process starts with an n8n form trigger to accept CV files in the form of PDFs. The PDF is validated using the text classifier node to determine if it is a valid CV else the applicant is asked to reupload. A basic LLM node is used to extract relevant information from the CV as data capture. A copy of the original job post is included to ensure relevancy. Applicant's data is then sent to an ATS for processing. For our demo, we used airtable because we could attach PDFs to rows. Finally, a second form trigger is used for the actual application form. However, it is prefilled to save the applicant's time and allow them to amend any of the generated application fields. How to use Ensure to change the redirect URL in the form ending node to use the host domain of your n8n instance. Requirements OpenAI for LLM Airtable to capture applicant data Customising the workflow Application form is pretty basic for this demonstration but could be extended to ask more in-depth questions. If it fits the job, why not ask applicants to upload portfolio works and have AI describe/caption them. An n8n automation workflow template by Jimleuk.

    • 6 nodes
    • 9,776 views

    Workflow detailsImport from n8n.ioAutomation, AI

  • AI Agent for project management and meetings with Airtable and Fireflies

    by Mark Shcherbakovweb9,693 clicks

    Video Guide I prepared a comprehensive guide detailing how to create a Smart Agent that automates meeting task management by analyzing transcripts, generating tasks in Airtable, and scheduling follow-ups when necessary. Youtube Link Who is this for? This workflow is ideal for project managers, team leaders, and business owners looking to enhance productivity during meetings. It is particularly helpful for those who need to convert discussions into actionable items swiftly and effectively. What problem does this workflow solve? Managing action items from meetings can often lead to missed tasks and poor follow-up. This automation alleviates that issue by automatically generating tasks from meeting transcripts, keeping everyone informed about their responsibilities and streamlining communication. What this workflow does The workflow leverages n8n to create a Smart Agent that listens for completed meeting transcripts, processes them using AI, and generates tasks in Airtable. Key functionalities include: Capturing completed meeting events through webhooks. Extracting relevant meeting details such as transcripts and participants using API calls. Generating structured tasks from meeting discussions and sending notifications to clients. Webhook Integration: Listens for meeting completion events to trigger subsequent actions. API Requests for Data: Pulls necessary details like transcripts and participant information from Fireflies. Task and Notification Generation: Automatically creates tasks in Airtable and notifies clients of their responsibilities. Setup N8N Workflow Configure the Webhook: Set up a webhook to capture meeting completion events and integrate it with Fireflies. Retrieve Meeting Content: Use GraphQL API requests to extract meeting details and transcripts, ensuring appropriate authentication through Bearer tokens. AI Processing Setup: Define system messages for AI tasks and configure connections to the AI chat model (e.g., OpenAI's GPT) to process transcripts. Task Creation Logic: Create structured tasks based on AI output, ensuring necessary details are captured and records are created in Airtable. Client Notifications: Use an email node to notify clients about their tasks, ensuring communications are client-specific. Scheduling Follow-Up Calls: Set up Google Calendar events if follow-up meetings are required, populating details from the original meeting context. An n8n automation workflow template by Mark Shcherbakov.

    • 5 nodes
    • 9,693 views

    Workflow detailsImport from n8n.ioAutomation, AI

  • Automated Instagram Reels Workflow

    by Iniyavan JCweb9,332 clicks

    This workflow automates the process of creating and posting Instagram Reels, combining Google Drive, AI, Airtable, and the Facebook Graph API. It supports two content creation paths: Scheduled Random Video Selection & Posting Selects a random video from a Google Drive folder named "Random video mover" based on a schedule. Moves the video to a processing folder for posting. Manual Upload Trigger & Posting Watches a specific Google Drive folder ("n8n reels automation on instagram"). Triggers the workflow when a new video is uploaded. Core Process (applies to both paths) Download Video from Google Drive. AI Caption Generation with Google Gemini, using the file name as context. The AI creates concise captions with hashtags and a call-to-action. Airtable Logging to store video name, caption, and URL. Instagram Reels Posting via the Facebook Graph API. Recent Change In early 2025, Meta tightened its requirements for video_url and image_url parameters. URLs must now be direct, public links to the raw media file with no redirects or authentication. Google Drive links no longer work. Our Fix Store the binary file locally on the n8n server at /tmp/video.mp4. Serve the file through a public n8n webhook with the correct Content-Type. Use the webhook URL in the Facebook Graph API request. Upload succeeds without the “Media download has failed” error. Cleanup Deletes the temporary file after posting. Benefits Saves time with full automation. Improves engagement through AI-generated captions. Keeps content organized in Airtable. Works with Meta’s updated API requirements by hosting files directly from the n8n server. An n8n automation workflow template by Iniyavan JC.

    • 7 nodes
    • 9,332 views

    Workflow detailsImport from n8n.ioAutomation, AI

All n8n workflow automations — every integration, filterable by platform and complexity.