Block 1 - Get video transcript
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.2
This workflow is provided as-is. Please review and test before using in production.
Extract the main idea and key takeaways from YouTube videos and turn them into Airtable content ideas Description Automatically turn YouTube videos into clear, structured content ideas stored in...
n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.scheduletrigger, n8n-nodes-base.airtable, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Batu Öztürk.
Original n8n.io sourceAutomatically turn YouTube videos into clear, structured content ideas stored in Airtable. This workflow pulls new video links from Airtable, extracts transcripts using a RapidAPI service, summarizes them with your favourite LLM, and logs the main idea and key takeaways—keeping your content pipeline fresh with minimal effort.
Scans Airtable for new YouTube video links every 5 minutes.
Extracts the transcript of the video using a third-party API via RapidAPI.
Summarizes the content to generate a main idea and takeaways.
Updates the original Airtable entry with the insights and marks it as completed.
Before using this template, make sure you have:
✅ A RapidAPI account with access to the youtube-video-summarizer-gpt-ai API.
✅ A valid RapidAPI key.
✅ An OpenAI, Claude or Gemini account connected to n8n.
✅ An Airtable account with a base and table ready.
Clone this template into your n8n workspace.
Open the Get YouTube Sources node and configure your Airtable credentials.
In the Get video transcript node:
Enter your X-RapidAPI-Key under headers.
The API endpoint is pre-configured.
Connect your LLM credentials to the Extract detailed summary node.
(Optional) Adjust the summarization prompt in the LangChain node to better suit your tone.
Set your preferred schedule in the Trigger node.
Create a base (e.g., Content Hub) with a table named Ideas and the following columns:
| Column Name | Type | Required | Notes |
|---|---|---|---|
| Type | Single select | ✅ | Must be set to Youtube Video |
| Source | URL | ✅ | The YouTube video URL |
| Status | Checkbox | ✅ | Leave empty initially; updated after processing |
| MainIdea | Single line text | ✅ | Summary generated by OpenAI |
| Key Takeaways | Long text | ✅ | List of takeaways extracted from the transcript |
Activate the workflow—and you're done!
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Summarize YouTube videos into structured content ideas with AI and Airtable |
|---|---|
| Complexity | intermediate |
| Nodes | 13 |
| Categories | Content Creation, AI Summarization |
| Author | Batu Öztürk |
| Published | 19 Apr 2025 |
Use the JSON export at /data/workflows/3609/3609.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Extract the main idea and key takeaways from YouTube videos and turn them into Airtable content ideas Description Automatically turn YouTube videos into clear, structured content ideas stored in...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, AI Summarization use case.