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Short Video Copy Extract Pro

Content Creation Updated 2026.08.30

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Please follow https://skillhub.cn/install/skillhub.md to install @user_2df7b78c/short-video-copy-extract.

About this skill

Problem

Short-video copy teardowns often stall in three places: platform description and transcript may come from inconsistent sources, headless browsers can be blocked by anti-scraping, and extracted copy still lacks structure judgment for opening hooks, information density, emotional tension, and CTA effectiveness. This skill chains extraction, analysis, and rewriting into one Python pipeline, reducing manual rework and repeated cleanup.

How It Works

The script first uses DouSnap.com to fetch title, description, transcript, and media links; on failure, it falls back through HelloTik.app, yt-dlp, and Whisper. The text then enters the analysis engine, parses a five-part structure, identifies hook, setup, core, turn, and CTA, and calculates a 0-100 weighted score. It outputs the original, readable, and condensed versions, preserves core information, only fixes punctuation, fluency, filler removal, and compression, and supports MD, JSON, CSV, and plain-text export.

Limits

Transcripts may be audio ASR content, so videos without narration may contain BGM lyrics; compare them with description before using them. dousnap depends on browser DOM and works best with CDP connected to real Chrome; without CDP it may return only media links. If description, transcript, and local ASR are all missing, it returns empty results rather than inventing copy. Long-video and batch runs also need attention to timeout, platform support, privacy risk, and reproducible teardown fields.

Use Cases

  • Content operators compare Douyin benchmark links by extracting spoken copy and mapping hook, turn, and CTA into reusable templates.
  • Short-video planners evaluate winning scripts before launch using four-dimension scores for density, emotion, and CTA strength.
  • Operations teams batch-export Xiaohongshu and Bilibili descriptions or transcripts to JSON/CSV for topic and selling-point attribution.
  • Compliance reviewers flag risky terms such as best, first, only, and free giveaway in spoken copy and produce revision notes.

Best For

  • Content operators: break benchmark short videos from multiple platforms into hook, selling point, and CTA, then collect reusable formulas.
  • Short-video directors: condense winning spoken scripts into readable or 30-second cuts while preserving core information without adding claims.
  • Growth product managers: analyze TikTok and YouTube Shorts copy structure at scale to compare hooks and CTAs across regional versions.
  • Brand compliance reviewers: flag absolute claims and funneling terms in spoken scripts, then produce reusable risk lists and revision notes.