ytfetcher

by kaya70875 · Agent Tool · ★ 66

About ytfetcher

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

ai-toolsbulkdata-extractiondata-fetcherdatasetmachine-learningnlppythonragtranscripts

Quick Facts

Stars66
Forks11
LanguagePython
CategoryAgent Tool
Quality Score33.75/100
Open Issues3
Last Updated2026-03-28
Created2025-07-12
Platformsbrowser, python
Est. Tokens~129k

Compatible Skills

These tools work well together with ytfetcher for enhanced workflows:

  • mcp-youtube-transcript — semantic(0.42)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)
  • claude-youtube — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • youtube-connector-mcp — semantic(0.35)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • youtube-to-ebook — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (61%)
  • yt-search-download — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (58%)

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Frequently Asked Questions

What is ytfetcher?

ytfetcher is ⚡ Build structured YouTube datasets at scale — effortlessly fetch transcripts and rich metadata for NLP, ML, and AI workflows.. It is categorized as a Agent Tool with 66 GitHub stars.

What programming language is ytfetcher written in?

ytfetcher is primarily written in Python. It covers topics such as ai-tools, bulk, data-extraction.

How do I install or use ytfetcher?

You can find installation instructions and usage details in the ytfetcher GitHub repository at github.com/kaya70875/ytfetcher. The project has 66 stars and 11 forks, indicating an active community.

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