researching-youtube-channels

To extract YouTube channel metadata and transcripts for research, you can run a fetch pipeline that collects video metadata and optionally downloads transcripts. This process outputs structured files like channel-manifest.json and channel-overview.md for analysis.

The best way to research a YouTube channel without brittle scraping is using a skill that leverages yt-dlp to fetch reliable metadata and transcripts. This approach ensures source attribution and prevents anti-hallucination during content curation and curriculum design.

Yes, you can filter YouTube video metadata by keywords, date ranges, duration, and view counts. After fetching the initial channel data, you apply these criteria to focus your research on the most relevant videos for your topic discovery.

Yes, this YouTube research tool requires yt-dlp as a dependency to fetch playlists, channel metadata, and video transcripts reliably. It uses yt-dlp to gather structured data and writes it into markdown and JSON formats for analysis.

To curate a study guide using YouTube video transcripts, fetch transcripts for selected videos and store them as markdown files. Combine these with the channel-overview.md to structure your curriculum design and support topic discovery.

Limitations when fetching YouTube transcripts include availability notes for videos lacking subtitles and anti-hallucination rules to ensure source attribution. The skill enforces these constraints to maintain reliable channel analysis and research outputs.