Stop Manually Copying YouTube Captions: Automate Your Video Data Pipeline

As developers, we know that video content is a gold mine of information. Whether you're building a RAG system, an AI summarizer, or a competitive research tool, transcripts are the foundation. But if you've ever tried to scrape them at scale, you know it's a minefield. The Problem: Why Transcripts are Hard to Get The official YouTube Data API is powerful but restrictive. It requires heavy OAuth setups, has strict quota limits, and sometimes doesn't even return the captions you expect. Manual scraping with puppeteer or selenium often fails because YouTube's transcript window is dynamic and asynchronous. If you're trying to process 1,000 videos for an LLM training set, doing this manually is a massive time sink. The Solution I built the YouTube Transcript & Subtitles Scraper to solve exactly this. No API keys required, no proxy management, no headless browser headaches. How it Works The scraper targets YouTube's underlying InnerTube API data streams. You provide video URLs, it return