Agent skill · Backend & API

youtube-influencer-finder-api-skill

This skill helps users extract YouTube influencer profiles including social links, subscriber counts, and channel stats via the BrowserAct API. Agent should proactively apply this skill when users express needs like finding YouTube creators for specific keywords, discovering influencers for a marketing campaign, extracting YouTube channel contact emails, scraping YouTube influencer social media links, gathering subscriber counts for YouTube creators, researching top YouTube channels in a specific niche, compiling a list of YouTube content creators with recent uploads, collecting YouTube creato

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill youtube-influencer-finder-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-influencer-finder-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 Influencer Finder API Skill ## 📖 Brief This skill provides a one-stop YouTube influencer data extraction service using the BrowserAct YouTube Influencer Finder API template. It directly extracts structured creator profile data from YouTube search results, including contact details, social links, and channel statistics. Just input search keywords and an upload date filter to get clean, usable influencer data. ## ✨ 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 restrictions or geo-blocking**: No need to deal with regional IP limits. 4. **Faster execution**: Tasks execute faster compared to purely AI-driven browser automation solutions. 5. **Extremely high cost-efficiency**: Significantly reduces data acquisition costs compared to AI solutions that consume massive amounts of tokens. ## 🔑 API Key Guide Before running, you must check the `BROWSERACT_API_KEY` environment variable. If it is not set, do not take other actions first; you should ask and wait for the user to provide it. **Agent mu

What's inside
Steps it walks through
  1. 📖 Brief
  2. ✨ Features
  3. 🔑 API Key Guide
  4. 🛠️ Input Parameters
  5. 🚀 Invocation Method (Recommended)
  6. ⏳ Running Status Monitoring
  7. 📊 Data Output
  8. ⚠️ Error Handling & Retry
Ships with 1 file
  • scripts/youtube_influencer_finder_api.py
Commands it runs
Example invocation
python -u ./scripts/youtube_influencer_finder_api.py "keywords" "Upload_Date"
More from skills
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About this skill
What does the youtube-influencer-finder-api-skill skill do?

This skill helps users extract YouTube influencer profiles including social links, subscriber counts, and channel stats via the BrowserAct API. Agent should proactively apply this skill when users express needs like finding YouTube creators for specific keywords, discovering influencers for a marketing campaign, extracting YouTube channel contact emails, scraping YouTube influencer social media links, gathering subscriber counts for YouTube creators, researching top YouTube channels in a specific niche, compiling a list of YouTube content creators with recent uploads, collecting YouTube creato

How do I install it?

Run `npx skills add browser-act/skills --skill youtube-influencer-finder-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.

Keep going