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YouTube Skillbox

Free YouTube research toolkit — search, keywords, competition, rank tracking, SEO scorecard, outliers, content gap, trends. No user-supplied YouTube Data API key required.

Quick Start

pip install youtube-skillbox
ytdata --help

Commands

Command Description
search <query> Search YouTube videos (locale-pinned via --gl/--hl)
channel <handle> List channel uploads / shorts / streams
latest <handle> Most recent uploads
info <url> Full metadata for one video (views, likes, tags, description)
scorecard <url> SEO checklist for a video (title/desc/tags/keyword fit)
outliers <handle> Videos overperforming their channel (views/subs ratio)
keywords <seed> Keyword ideas + relative volume from YouTube suggest
compete <query> Competition score (0–100) from live SERP
trends <seed> Historical trend for a seed keyword
track <query> --video <url> Rank tracking for a video
gap <seed> --competitor <handle> Content gap analysis
profile <handle> Channel About/profile section
sections <handle> Count every tab/section of a channel
posts <handle> Community posts (paginated)
shows <handle> Channel Shows (episode collections)
home <handle> Home tab shelves (featured video, sections, Featured Channels)
playlist <url> List playlist videos

Common Flags

  • --json — Emit structured JSON output
  • --limit N — Max results (default 10)
  • --gl XX --hl YY — Pin region + language (default US/en)
  • --full-meta — Enrich results with full metadata (upload_date, live_status, tags, likes, subscribers, categories)

Use Cases

  • Keyword research — ytdata keywords "youtube seo" --json
  • Competition analysis — ytdata compete "MrBeast challenge" --json
  • Video SEO audit — ytdata scorecard "https://youtu.be/..." --json
  • Channel research — ytdata channel "@MrBeast" --limit 20 --full-meta --json
  • Rank tracking — ytdata track "youtube seo" --video "https://youtu.be/..." --json
  • Find outliers — ytdata outliers "@channel" --json
  • Content gap — ytdata gap "my topic" --competitor "@competitor" --json

No API Key Required

All data via yt-dlp + custom YouTube scrapers. Zero credits, no expiry, $0 forever.

License

MIT

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