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How to Scrape ANY YouTube Video Transcript with N8N - Full Workflow

AI Foundations via YouTube

Overview

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Learn to build a complete YouTube transcript scraping workflow using n8n automation platform in this comprehensive 23-minute tutorial. Master the process of extracting transcripts from any YouTube video and integrating them with AI agents and RAG (Retrieval-Augmented Generation) databases for enhanced conversational capabilities. Set up an Airtable database to store scraped transcripts, create automated forms for data collection, and configure webhooks for seamless data flow. Discover how to use Apify for transcript extraction, implement HTTP requests for data retrieval, and utilize code nodes to clean and process transcript data. Build utility nodes for data manipulation and establish automated workflows that append cleaned transcripts directly to your Airtable database. Explore practical applications including connecting transcripts to RAG systems for AI-powered conversations and developing intelligent agents that can interact with video content. Gain hands-on experience with n8n's workflow automation capabilities while learning essential techniques for data scraping, processing, and integration that form the foundation for advanced AI agent development.

Syllabus

0:00 - N8N Transcript Scraper
1:28 - Using RAG to talk to videos
3:22 - The agent we will build
3:35 - Biggest problem with Agents
3:58 - Solution to learning agents and n8n
4:58 - Tools you need
5:24 - Creating Airtable Database
7:19 - Cleaning Database
7:32 - Creating Form in Airtable
8:14 - Airtable Automation
10:28 - Perks of being a member
10:52 - Setting up Webhook
11:41 - Adding a Set Field
12:08 - Sending Test Data
13:15 - Setting up Apify Key
14:00 - Adding HTTP for Transcript Scraping
15:17 - Testing URL Set Field
15:38 - Testing HTTP Request
15:55 - HTTP Get Transcript Request
16:32 - Code Node to Clean Transcript
17:15 - Setting Utility Nodes
18:30 - Appending Transcript to Airtable
20:50 - Final Result of Automation
21:32 - Next Steps for Building Agents

Taught by

AI Foundations

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