AI-Powered YouTube Data Extraction & Search Tool
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This n8n workflow serves as an advanced AI-ready tool for YouTube data extraction, enabling robust video searches and comprehensive transcript retrieval. Designed for seamless integration with AI agents via n8n's MCP Server, it leverages external services like Apify to reliably bypass API rate limits and deliver invaluable YouTube insights.
About This Workflow
Unlock the full potential of YouTube data for your AI agents with this intelligent n8n workflow. Acting as a flexible routing mechanism, it exposes two distinct capabilities: performing YouTube video searches (returning metadata) and extracting full transcripts from specified video URLs. Engineered for developers and teams working with AI platforms like Langchain, this workflow connects to n8n's Multi-Modal Orchestration Platform (MCP) server, allowing your AI to dynamically choose and execute the desired YouTube operation. By integrating with powerful scraping services like Apify, it ensures high reliability and helps circumvent common API rate limitations, making it ideal for scalable content analysis and research.
Key Features
- AI-Ready Integration: Designed to be exposed as tools for AI agents (e.g., Langchain) via n8n's MCP server.
- Flexible Operation Routing: Dynamically executes either YouTube search or transcript extraction based on the
operationinput. - YouTube Search Capability: Performs intelligent searches and retrieves relevant video metadata.
- YouTube Transcript Extraction: Fetches complete transcripts from provided YouTube video URLs.
- Rate Limit Resilience: Employs external scraping services (like Apify) to handle high volumes and avoid YouTube API rate limits.
- Modular and Extensible: Easily customize or expand functionalities within the dedicated operation branches.
How To Use
- Deploy this workflow in your n8n instance and activate it.
- Configure an MCP Server Trigger: Add an 'MCP Server Trigger' node (as suggested by the Sticky Note in the workflow) to expose this workflow as an API endpoint. Always enable authentication on your MCP server for production use.
- Integrate with your AI Agent: Your AI agent (e.g., Langchain) will be able to discover and utilize two tools provided by this workflow:
youtube_transcripts: Use this tool to fetch video transcripts. It expects aurlsinput (e.g.,["https://youtube.com/watch?v=..."]).websearch_contents: Use this tool to perform YouTube searches. It expects aqueryinput (e.g.,"n8n tutorial").
- Implement the Underlying Logic: The 'Youtube Search' and 'Youtube Transcripts' branches from the 'Operation' Switch node are designed for you to add the actual data extraction logic. As highlighted by the Sticky Notes, it is highly recommended to use a service like Apify.com (specifically their Youtube Scraper) to perform the actual scraping. Add the necessary Apify or HTTP nodes within these branches to execute the scraping and return the results.
Apps Used
Workflow JSON
{
"id": "b0765171-21a4-4dbb-ae88-a1868ce0e2cb",
"name": "AI-Powered YouTube Data Extraction & Search Tool",
"nodes": 10,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: b0765171-21a4...
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