Agent skill · Backend & API

youtube-transcript-extractor-api-skill

This skill helps users automatically extract YouTube video transcripts and metadata via the BrowserAct API. The Agent should proactively apply this skill when users express needs like extracting full transcript from a specific YouTube video, getting subtitles and metadata for video content analysis, gathering video titles and likes counts, summarizing YouTube videos without watching them, collecting channel details from a video URL, tracking transcript automation for specific videos, scraping YouTube subtitles for internal knowledge bases, fetching full video content for AI summarization pipel

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill youtube-transcript-extractor-api-skill --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: yes
Path: solutions/video-platforms/youtube-transcript-extractor-api-skill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# YouTube Transcript Extractor API Skill ## 📖 Introduction This skill provides a one-stop video transcript extraction service using BrowserAct's YouTube Transcript Extractor API template. It can directly extract full video transcripts and metadata from any YouTube video. By simply providing the TargetURL, you can get clean, ready-to-use transcript and metadata. ## ✨ Features 1. **No hallucinations, ensuring stable and accurate data extraction**: Pre-set workflows avoid generative AI hallucinations. 2. **No CAPTCHA issues**: No need to handle reCAPTCHA or other verification challenges. 3. **No IP access restrictions or geofencing**: No need to deal with regional IP limits. 4. **Faster execution**: Compared to pure AI-driven browser automation solutions, task execution is much faster. 5. **High cost-effectiveness**: Significantly reduces data acquisition costs compared to AI solutions that consume large amounts of tokens. ## 🔑 API Key Setup Before running, you must check the `BROWSERACT_API_KEY` environment variable. If it is not set, do not take any other actions; you must request and wait for the user to provide it. **The Agent must inform the user at this point**: > "Since you h

What's inside
Steps it walks through
  1. 📖 Introduction
  2. ✨ Features
  3. 🔑 API Key Setup
  4. 🛠️ Input Parameters
  5. 🚀 Usage (Recommended)
  6. ⏳ Running Status Monitoring
  7. 📊 Data Output Description
  8. ⚠️ Error Handling & Retry
Ships with 1 file
  • scripts/youtube_transcript_extractor_api.py
Commands it runs
Example Call
python -u ./scripts/youtube_transcript_extractor_api.py "TargetURL"
More from skills
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About this skill
What does the youtube-transcript-extractor-api-skill skill do?

This skill helps users automatically extract YouTube video transcripts and metadata via the BrowserAct API. The Agent should proactively apply this skill when users express needs like extracting full transcript from a specific YouTube video, getting subtitles and metadata for video content analysis, gathering video titles and likes counts, summarizing YouTube videos without watching them, collecting channel details from a video URL, tracking transcript automation for specific videos, scraping YouTube subtitles for internal knowledge bases, fetching full video content for AI summarization pipel

How do I install it?

Run `npx skills add browser-act/skills --skill youtube-transcript-extractor-api-skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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