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integrationFacebook Graph API node

Airtable and Facebook Graph API integration

Save yourself the work of writing custom integrations for Airtable and Facebook Graph API and use n8n instead. Build adaptable and scalable Data & Storage, and Development workflows that work with your technology stack. All within a building experience you will love.

How to connect Airtable and Facebook Graph API

  • Step 1: Create a new workflow
  • Step 2: Add and configure nodes
  • Step 3: Connect
  • Step 4: Customize and extend your integration
  • Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Airtable and Facebook Graph API integration: Create a new workflow and add the first step

Step 2: Add and configure Airtable and Facebook Graph API nodes

You can find Airtable and Facebook Graph API in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Airtable and Facebook Graph API nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Airtable and Facebook Graph API integration: Add and configure Airtable and Facebook Graph API nodes

Step 3: Connect Airtable and Facebook Graph API

A connection establishes a link between Airtable and Facebook Graph API (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Airtable and Facebook Graph API integration: Connect Airtable and Facebook Graph API

Step 4: Customize and extend your Airtable and Facebook Graph API integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Airtable and Facebook Graph API with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Airtable and Facebook Graph API integration: Customize and extend your Airtable and Facebook Graph API integration

Step 5: Test and activate your Airtable and Facebook Graph API workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Airtable to Facebook Graph API or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Airtable and Facebook Graph API integration: Test and activate your Airtable and Facebook Graph API workflow

Automated Instagram reels workflow

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.

Nodes used in this workflow

Popular Airtable and Facebook Graph API workflows

+2

Automated Instagram Reels Workflow

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.
+7

AI Sales Agent: WhatsApp, FB, IG, OpenAI, Airtable, Supabase Auto-Booking

This workflow automates multi-channel AI-driven sales engagement for lead qualification, service information delivery, and consultation booking. It integrates WhatsApp, Facebook Messenger, Instagram DM, and an n8n chat interface with a backend CRM (Airtable), a knowledge base (Supabase), and conversational AI (OpenAI), all orchestrated by n8n. Tools & Services Used Messaging Platforms: WhatsApp, Facebook Messenger, Instagram DM, n8n Built-in Chat AI Core & Processing: OpenAI (GPT-4o for main agent logic, Whisper for audio transcription) CRM & Data Management: Airtable (for initial WhatsApp lead lookup, lead form submissions, and as the backend for the crmAgent sub-workflow operations) Knowledge Base: Supabase (Vector Store for technical_and_sales_knowledge tool) Chat Memory: PostgreSQL (for the main AI Agent's conversation history) Orchestration & Automation: n8n (Self-hosted, utilizing Langchain community nodes) Calendar Service: Integrated via the calendarAgent sub-workflow CRM Service: Integrated via the crmAgent sub-workflow (interacting with Airtable) Workflow Overview This automation performs the following steps: Trigger: A new interaction is initiated through one of the following channels: A new message is received via the WhatsApp Trigger. A new message is received via the Facebook Trigger (Webhook). A new message is received via the Instagram Trigger (Webhook). A new message is received via the n8n Chat Trigger. Alternatively, a new lead is submitted via the Airtable Form Submitted Webhook. Channel-Specific Ingestion & Pre-processing: For WhatsApp: The system attempts to find an existing lead in Airtable using the sender's phone number. Incoming messages are routed by the Handle Message Types switch: Text messages are passed to the Edit Fields - chat1 node to prepare input for the AI Agent, including any found lead information. Audio messages are processed: the WhatsApp Business Cloud node gets the media URL, the HTTP Request node downloads the audio, OpenAI transcribes it to text, and Edit Fields - chat2 prepares this transcribed text and lead information for the AI Agent. Unsupported message types trigger the Reply To User1 node to send a notification that the message type cannot be processed. For Facebook Messenger: The system responds to webhook verification (Respond to Webhook - facebook get) and acknowledges new messages (Respond to Webhook - facebook post). The If is not echo - facebook node filters out messages sent by the page. The Sales Agent Demo - typing_on node sends a typing indicator. The Edit Fields - facebook node prepares the message text, sender ID, and Facebook-specific context for the AI Agent. For Instagram DM: The system responds to webhook verification (Respond to Webhook - instagram get) and acknowledges new messages (Respond to Webhook - instagram post). The If is not echo - instagram node filters out messages sent by the business account. The Edit Fields - instagram node prepares the message text, sender ID, and Instagram-specific context for the AI Agent. For n8n Chat: The Edit Fields - chat node prepares the user's input and session information for the AI Agent. Input Aggregation for AI Agent: Processed data from all active messaging channels (WhatsApp text/audio, Facebook, Instagram, n8n Chat) is funneled through the No Operation, do nothing node to the main AI Agent. AI Sales Conversation & Tool Utilization: The AI Agent (using OpenAI Chat Model - GPT-4o, and Postgres Chat Memory) engages the user according to its system prompt, aiming to qualify them for Paint Protection Film (PPF), Ceramic Coating, or Window Tint. The AI Agent uses the technical_and_sales_knowledge tool (which queries the Demo Supabase vector store via Embeddings OpenAI and OpenAI Chat Model1) to provide service details and answer questions. The AI Agent uses the crmAgent tool (a sub-workflow) to log contact details (Name, Email, service interest) and update opportunity statuses in Airtable. The AI Agent uses the calendarAgent tool (a sub-workflow) to book consultation appointments once preferred dates/times are provided. This occurs after contact details are logged in the CRM. Response Delivery: The AI Agent's final textual response is passed to the Switch node. The Switch node routes the response to the appropriate node for delivery on the original channel: Reply To User for WhatsApp. Facebook Graph API - Sales Agent Demo for Facebook Messenger. Instagram Graph API - smb.sales.agent.demo for Instagram DM. Output - chat for the n8n Chat interface. Airtable Form Submission Processing (Separate Branch): When the Airtable Form Submitted webhook receives data, the Airtable node fetches the full record. The Create Contact node creates a new contact in the Airtable 'Contacts' table. The Edit Fields - form node prepares data for a notification. The WhatsApp Business Cloud2 node sends a templated WhatsApp message to the lead, confirming their form submission.
+2

Upload Instagram Reels from Google Sheets with DeepSeek AI captions

Overview This n8n workflow template automates the entire process of publishing Instagram Reels from content stored in Google Sheets and Google Drive. It's designed for content creators, social media managers, and businesses who maintain a content calendar in spreadsheets and need automated publishing with AI-generated captions. Workflow Steps Trigger Phase Schedule Trigger**: Runs every 12 hours (configurable) Google Sheets Trigger**: Alternatively triggers when new rows are added Retrieves the next unposted video from the spreadsheet (where POSTED = FALSE) Content Preparation Downloads video from Google Drive using file ID from spreadsheet Processes video with FFmpeg to add custom text overlays: Title text overlay Numbering overlay Sales hook text Sends processed video using SSH Caption & Metadata Generation Extracts video filename and metadata Uses AI Agent (DeepSeek) to generate engaging Instagram captions: 2-4 engaging sentences 3-5 relevant hashtags Clear call-to-action Under 150 characters total Stores caption and metadata in Airtable for record-keeping Instagram Publishing Creates Facebook/Instagram media container with video URL and caption Waits and polls for video processing completion Publishes the Reel when ready Updates Google Sheet to mark content as posted (POSTED = TRUE) Cleanup Removes temporary video files from disk
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Create AI-driven social media posts and publish to all major platforms

This n8n template is a complete, two-part social media engine: it automates competitor/inspiration research, uses AI to recreate viral formats for your niche, and handles multi-platform distribution with auto-generated visuals. Instead of staring at a blank page, this workflow scrapes top-performing content, breaks down the psychological hooks, rewrites it for your specific audience, and drafts a custom text graphic. Once you approve the draft, n8n handles the heavy lifting of posting it everywhere. You curate and approve. n8n researches, writes, designs, and publishes. How it works Part 1: Research & Recreating A scheduled trigger runs daily to pull a target username from your Airtable database. Apify scrapes the latest tweets from that user, filtering out replies and links, and sorts them by the highest view count. An AI Analysis Agent (Gemini) breaks down the top post's structure and creates a reusable template. An AI Writing Agent (GPT) uses that template to write a fresh, original post tailored to your niche. A Caption Agent (GPT) writes an engaging, long-form caption with hooks and hashtags. The draft is saved into Airtable for your review. Part 2: Auto-Posting & Repurposing When you change a draft's status to "Approved" in Airtable, the second flow triggers. An AI Image generator creates a sleek text-graphic based on your short post. The image is uploaded to ImgBB to generate a public URL. The pure text version is pushed directly to X (Twitter) and Threads (via authenticated HTTP requests). The generated image and long-form caption are published to LinkedIn, Facebook, and Instagram. Finally, the Airtable record is marked as "Posted." How to use Set up an Airtable base with your target usernames and a table for content drafts. Update the AI Agent system prompts (Writing and Caption) to match your specific target audience, expertise, and tone. Connect all your platform credentials in n8n (ensure you use the credential manager for the HTTP nodes, like HTTP Header Auth for Threads and Query Auth for ImgBB—no hardcoded API keys!). Let the schedule scrape and draft content for you. Simply mark a draft as "Approved" in Airtable when you want it to go live. What you get Automated viral content research and curation AI-driven structural analysis and rewriting Auto-generated text-graphics for visual platforms Hands-free publishing to 5 platforms (X, Threads, IG, FB, LinkedIn) A centralized content approval system Requirements Airtable account Apify account (Twitter Scraper actor) OpenAI & Google Gemini API credentials ImgBB account X (Twitter), Threads, LinkedIn, Facebook, and Instagram accounts Need help tweaking the AI agents for your specific funnel? Ask in the n8n Forum or shoot me a DM on LinkedIn Happy automating 🚀
+18

💅 AI Agents Generate Content & Automate Posting for Beauty Salon Social Media 📲

💅 AI Agents Generate Content & Automate Posting for Beauty Salon Social Media 📲 Who Is This For? This workflow is for beauty salons who want consistent, high‑quality social media content without writing every post manually. It also suits agencies and automation builders who manage multiple beauty brands and want a reusable, AI‑driven posting system they can adapt per client. What Problem Is This Workflow Solving? Many beauty businesses struggle to post regularly because research, copywriting, and design all take time and marketing skills. This workflow automates research, writing, image creation, and posting, so your channels stay active and relevant while you focus on clients and services. What This Workflow Does Generates short, engaging posts tailored to a beauty‑salon audience (hair, nails, skincare, make‑up, self‑care) using an AI agent. Uses Tavily Internet Search to pull up‑to‑date information and trends based on a reference link or topic. Turns each post into a detailed, photorealistic image prompt and creates a matching visual with an AI image model (for example, gpt‑image‑1 or other connected providers). Automatically sends the final text and image to Telegram, and can be extended to other social platforms from the Split Out node. How It Works Trigger the workflow Scheduled automatic generation:** Run the parent workflow on a schedule (for example, once per day at 9 AM) to publish new content regularly. Google Sheets trigger:** Generate content when a new row with a reference link or topic is added to your sheet. Use it when you manage ideas or briefs in Google Sheets and want the workflow to react as soon as a new idea appears. RSS Feed trigger:** Start the workflow when new items appear in a selected RSS feed. Ideal for turning fresh blog posts, news, or industry updates into social media content or automated summaries. Meta (Facebook/Instagram) webhook:** Use the Meta Reference trigger to fire the workflow on incoming webhooks from Meta (for example, new comments, messages, or events). Helpful when you want to auto‑respond, log activity, or generate follow‑up content from Meta activity. Airtable trigger:** Start the workflow when records in a selected Airtable base/table change (for example, a new idea, brief, or status update), so your posts react instantly to updates in your Airtable content board. Postgres trigger:** Fire the workflow when new rows are inserted or existing rows are updated in a connected PostgreSQL table, letting you drive content generation from events in your app database or Supabase‑style back end. Manual start:* Hit Execute workflow* whenever you want to spin up a batch of posts on demand, test new prompt settings, or debug the flow step by step. Research and generate copy The GENERATE TEXT agent calls Tavily to gather fresh information on the topic. It writes a post under 1024 characters with a hook, practical tips, relevant hashtags, and a closing line with your salon address and contact. Create the visual The GENERATE PROMPT agent converts the post into a single, clear description of the scene (client, service, salon interior, lighting, mood) with a strict “no text on image” rule. An image model such as gpt‑image‑1 or one of the HTTP image APIs renders a matching beauty visual. Distribute the content The Split Out node fans out the result so Telegram receives a photo post with the generated caption. Additional social or content nodes (for example Facebook, LinkedIn, X, template tools) can be wired after this step for multi‑channel posting. How to Customize This Workflow to Your Needs Brand voice** Edit the system message in the GENERATE TEXT node to adjust tone (luxury, friendly, clinical, playful), language, services, and city. Update the final address and phone line to match your salon details. Topics and triggers** Point the Google Sheets Trigger to your own document ID, sheet, and columns for ideas, links, or campaign themes. Use the Schedule Trigger for fully automatic posting or rely on the Manual Trigger for controlled, batch generation sessions. Models and providers** Swap GPT‑5 llm and the default image model for alternatives such as Mistral, Gemini, Anthropic, DeepSeek, or custom HTTP image APIs by enabling the corresponding nodes and adding credentials. Channels and outputs** Connect or remove social nodes after Split Out depending on which platforms you actively use. Add extra processing steps (for example resizing images or adding UTM parameters) before each channel if needed. Visual style** Tweak the GENERATE PROMPT instructions to control composition (close‑up vs. full‑body), color palette, lighting, and overall salon aesthetic, while keeping the constraint of no text or logos in the image.
+19

💾 Generate Blog Posts on Autopilot with GPT‑5, Tavily and WordPress

Who Is This For? This workflow is designed for marketers, content creators, agencies, and solo founders who want to publish long‑form posts with visuals on autopilot using n8n and AI agents. ​ Whether you run a blog, SaaS, personal brand, newsletter, or client accounts, this tool helps you keep a consistent content pipeline without manually writing every article, creating images, and posting to each platform one by one. ​ ​ 💪🏼 While the template is wired around classic blog + social media distribution, the underlying logic is universal. You can easily adapt it to any niche by editing prompts, swapping models, and re‑wiring nodes. You can plug in any LLM you like, from ChatGPT to Claude, Gemini, Mistral, DeepSeek, OpenRouter, or even local models through Ollama. ​ What Problem Is This Workflow Solving? 🤯 Most teams waste hours on the same repetitive loop: research a topic, gather links, write a blog post, craft social captions, generate visuals, upload everything to multiple platforms, and archive assets. ​ ​ 💎 This workflow solves that by automating the full content chain—from research and blog‑post generation to image creation, publishing across channels, and logging everything in your content database—so your feeds stay active while you focus on strategy, not busywork. ​ What This Workflow Does ✨ Generates in‑depth blog posts tailored to your topic and target audience, enriched with fresh references from the web via Tavily/SerpAPI search tools. ​ ✨ Creates an image prompt and title from the article, generates the visual with OpenAI Images (gpt-image-1), and converts it into a ready‑to‑use image file. ​ ✨ Automatically publishes content to your connected platforms (WordPress for blog posts, Telegram, X/Twitter, Facebook, LinkedIn) while saving images to Google Drive and logging each publication in Google Sheets for tracking. ​ How It Works? Surprisingly simple ☺️ The workflow is triggered by another n8n workflow or by one of several triggers (Facebook, RSS, Google Sheets, Airtable, Postgres) that pass in the blogTopic, targetAudience, and Telegram chatID. ​ ​ The Blog Post Agent (LLM with access to Tavily/SerpAPI) researches the topic, writes a structured article for the specified audience, and sends its output to the Image Prompt Agent, which turns the content into a visual prompt and title. ​ 🎯 The end result: you provide a topic, run the workflow, and receive a complete blog post, matching image, and ready‑made social posts shipped directly to your channels and archives—no manual copy‑paste. ​ How to Customize This Workflow to Your Needs 🎨 Switch AI models and fine‑tune prompts so the agent can handle your exact formats: tutorials, case studies, listicles, product updates, thought‑leadership pieces, or campaign landing posts. 🔍 Refine research sources inside Tavily/SerpAPI to prioritize the domains, blogs, and docs your audience trusts, keeping posts accurate and up to date. ⏰ Adjust posting cadence and schedules to align with peak engagement for your audience, mixing automated slots with manual “launch” runs for special announcements. 📱 Expand or trim channels as needed: keep just WordPress + LinkedIn, add Telegram as a content feed, or plug the workflow into additional automations like email campaigns or RSS feeds. 📊 Use Google Sheets as your content hub to store ideas, angles, CTAs, references, and performance notes so you can double‑down on topics and formats that perform best. 🎬 Swap images for video by replacing the image generation node with video tools (for example, Runway‑style APIs) if your strategy is video‑first while keeping the same prompt pipeline. 💾 Build a reusable prompt library in Sheets, Notion, or Airtable so you can rotate proven prompt patterns each month and keep quality high without reinventing the wheel. 🤖 The system will continuously generate blog posts, visuals, and social updates and publish them across your selected platforms while archiving everything in Drive and Sheets—keeping your brand visible, consistent, and professional with minimal ongoing effort.

Build your own Airtable and Facebook Graph API integration

Create custom Airtable and Facebook Graph API workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Airtable supported actions

Get Many
List all the bases
Get Schema
Get the schema of the tables in a base
Create
Create a new record in a table
Create or Update
Create a new record, or update the current one if it already exists (upsert)
Delete
Delete a record from a table
Get
Retrieve a record from a table
Search
Search for specific records or list all
Update
Update a record in a table

Airtable and Facebook Graph API integration details

integrationFacebook Graph API node
Facebook Graph API

Facebook needs no introduction. It is an online social networking and media service that gathers people from all parts of the world, from different backgrounds, and allows them to promote their businesses and services, share, react to and comment on all types of content, and communicate and message their friends.

Use case

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FAQs

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