youtube-comments-api-skill
This skill helps users extract structured video list data and comment data from YouTube using the BrowserAct API. The Agent should proactively apply this skill when users request searching for YouTube videos and their comments, analyzing viewer sentiment for a specific video topic, gathering audience feedback on AI or automation, extracting a list of top videos and their viewer reactions, compiling YouTube video data along with user opinions, retrieving competitor video titles and related audience discussions, monitoring public response to specific YouTube search keywords, summarizing comments
npx skills add browser-act/skills --skill youtube-comments-api-skill --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# YouTube Comments API Automation Skill ## 📖 Introduction This skill provides a one-stop extraction service for YouTube video and comment data through the BrowserAct YouTube Comments API template. It can extract structured video results along with their respective comments directly from YouTube. By simply providing search keywords, comment limits, and scroll counts, you can acquire clean and ready-to-use video and comment datasets directly. ## ✨ Features 1. **Zero Hallucination, Ensuring Stable and Accurate Data Extraction**: Pre-configured workflows avoid AI generative hallucinations. 2. **No CAPTCHA Issues**: No need to handle reCAPTCHA or other verification challenges. 3. **No IP Access Restrictions or Geo-fencing**: No need to deal with regional IP limits. 4. **More Agile Execution Speed**: Faster task execution compared to pure AI-driven browser automation solutions. 5. **Extremely High Cost-Efficiency**: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of tokens. ## 🔑 API Key Guidance Process Before running, you must first check the `BROWSERACT_API_KEY` environment variable. If it is not set, do not take any other actions; yo
- 📖 Introduction
- ✨ Features
- 🔑 API Key Guidance Process
- 🛠️ Input Parameters
- 🚀 Invocation Method (Recommended)
- ⏳ Running Status Monitoring
- 📊 Data Output Description
- ⚠️ Error Handling & Retry
- 🌟 Typical Use Cases
Example invocation python -u ./scripts/youtube_comments_api.py "keywords" "Comments_limit" "Scroll_count"
What does the youtube-comments-api-skill skill do?
This skill helps users extract structured video list data and comment data from YouTube using the BrowserAct API. The Agent should proactively apply this skill when users request searching for YouTube videos and their comments, analyzing viewer sentiment for a specific video topic, gathering audience feedback on AI or automation, extracting a list of top videos and their viewer reactions, compiling YouTube video data along with user opinions, retrieving competitor video titles and related audience discussions, monitoring public response to specific YouTube search keywords, summarizing comments
How do I install it?
Run `npx skills add browser-act/skills --skill youtube-comments-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.