Extract YouTube transcripts with a single API call. Compare YouTube Data API vs ContentAPI for transcript extraction. Python & TypeScript examples included.
YouTube is the world's second-largest search engine with over 800 million videos. The spoken content in those videos is a goldmine for:
- RAG pipelines — Index video content alongside web pages for comprehensive knowledge bases
- Content repurposing — Turn videos into blog posts, summaries, or social media content
- Research — Analyze what experts say across hundreds of videos
- Accessibility — Generate transcripts for videos that don't have captions
- SEO — Create text content from video content for search engines
The challenge is getting that transcript data programmatically. Let's compare two approaches.
Method 1: YouTube Data API (The Hard Way)
The official YouTube approach requires multiple steps:
Setup Required
- Create a Google Cloud project
- Enable the YouTube Data API v3
- Create OAuth 2.0 credentials (or API key for public data)
- Install the Google API client library
\