Agent skill · Data & Analytics

youtube-video-api-skill

This skill helps users automatically extract channel-level and video detail data from a specific YouTube channel via BrowserAct API. Agent should proactively apply this skill when users express needs like extracting channel video data, getting latest or popular videos from a YouTube channel, tracking competitor channel content, extracting video metrics such as views likes comments, retrieving subscriber count and channel info, monitoring posting cadence of a YouTube channel, gathering video data for content strategy analysis, getting earliest videos of a YouTube creator, analyzing engagement s

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill youtube-video-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: 6 KB
Bundled scripts: yes
Path: solutions/video-platforms/youtube-video-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 Video API Skill ## 📖 Introduction This skill provides users with a one-stop YouTube video data extraction service using BrowserAct's YouTube Video API template. It can directly extract structured channel-level data plus video detail data from a specific YouTube channel through a single API request. Just input the YouTube channel URL and video type (Latest, Popular, or Earliest), and you can get clean, ready-to-use video metrics. ## ✨ 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 and geo-blocking**: No need to deal with regional IP restrictions. 4. **More agile execution speed**: Compared to pure AI-driven browser automation solutions, task execution is faster. 5. **Extremely high cost-effectiveness**: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of Tokens. ## 🔑 API Key Guidance Flow Before running, you must check the `BROWSERACT_API_KEY` environment variable. If it is not set, do not take any other actions first.

What's inside
Steps it walks through
  1. 📖 Introduction
  2. ✨ Features
  3. 🔑 API Key Guidance Flow
  4. 🛠️ Input Parameters
  5. 🚀 Invocation Method
  6. ⏳ Running Status Monitoring
  7. 📊 Data Output Description
  8. Channel fields
  9. Video fields
  10. ⚠️ Error Handling & Retry
  11. 🌟 Typical Use Cases
Ships with 1 file
  • scripts/youtube_video_api.py
Commands it runs
Invocation example
python -u ./scripts/youtube_video_api.py "YouTube_channel_url" "Video_type"
More from skills
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About this skill
What does the youtube-video-api-skill skill do?

This skill helps users automatically extract channel-level and video detail data from a specific YouTube channel via BrowserAct API. Agent should proactively apply this skill when users express needs like extracting channel video data, getting latest or popular videos from a YouTube channel, tracking competitor channel content, extracting video metrics such as views likes comments, retrieving subscriber count and channel info, monitoring posting cadence of a YouTube channel, gathering video data for content strategy analysis, getting earliest videos of a YouTube creator, analyzing engagement s

How do I install it?

Run `npx skills add browser-act/skills --skill youtube-video-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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