kaya70875/ytfetcher

⚡ Build structured YouTube datasets at scale — effortlessly fetch transcripts and rich metadata for NLP, ML, and AI workflows.

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Established

This tool helps researchers, marketers, or analysts quickly gather data from YouTube. You input a YouTube channel, playlist, specific video IDs, or a search query, and it outputs a structured dataset containing video transcripts, titles, descriptions, view counts, and even comments. It's designed for anyone needing to analyze large amounts of YouTube content for insights.

Available on PyPI.

Use this if you need to build comprehensive datasets from YouTube for content analysis, sentiment analysis, market research, or training AI models.

Not ideal if you only need to download a single video or transcript occasionally, as it's built for bulk data extraction.

content-analysis social-media-research market-intelligence data-journalism media-monitoring
Maintenance 10 / 25
Adoption 8 / 25
Maturity 24 / 25
Community 15 / 25

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Stars

62

Forks

10

Language

Python

License

Last pushed

Mar 08, 2026

Commits (30d)

0

Dependencies

9

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/kaya70875/ytfetcher"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.