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...

Security Scan

The skill's code, instructions, and required environment variable align with its claimed purpose (calling the BrowserAct YouTube influencer API); nothing in the files suggests unexplained or malicious behavior.

Purpose & Capability

Name/description, required env var (BROWSERACT_API_KEY), required binary (python), and the included script all point to a BrowserAct API integration for YouTube influencer data. No unrelated credentials or binaries are requested.

Instruction Scope

SKILL.md instructs the agent to check the BrowserAct API key, run the provided Python script with keywords and upload_date, monitor logs, and handle a single retry. The script only reads BROWSERACT_API_KEY and performs HTTP calls to api.browseract.com — no unrelated file/credential access or external endpoints are used.

Install Mechanism

This is an instruction-only skill (no installer). The script depends on the third-party 'requests' library but no install step is provided; the agent environment must already have Python and requests available. No downloads from untrusted URLs or archive extraction occur.

Credentials

Only BROWSERACT_API_KEY is required, which is proportional and expected for a BrowserAct API integration. The script does not attempt to read other environment variables or local credential/config paths.

Persistence & Privilege

always is false and the skill does not request persistent or elevated platform privileges or modify other skill configs. Autonomous invocation is allowed (platform default) and appropriate for this integration.

Assessment

This skill appears coherent: it simply calls BrowserAct's workflow API and returns results. Before installing, be prepared to provide your BrowserAct API key and verify you trust BrowserAct and the specific template ID used (TEMPLATE_ID in the script). Ensure the runtime has Python and the 'requests' library installed. Note that running the skill will send queries and any requested keywords to api.browseract.com and return whatever data BrowserAct supplies; review BrowserAct's privacy, billing, and data-retention policies if you're sending sensitive queries or large datasets.

📖 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 must inform the user:

"Since you haven't configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key."

🛠️ Input Parameters

When calling the script, the Agent should flexibly configure the following parameters based on user needs:

1. keywords

   • Type: string
   • Description: Search keywords for finding YouTube influencers. Can be any keyword.
   • Example: openclaw, tech reviewer, gaming
   • Default: openclaw

2. Upload_Date

   • Type: string
   • Description: Filter creators by their recent upload date.
   • Options:
     • Today
     • This Week
     • This Month
     • This Year
   • Default: This Month

🚀 Invocation Method (Recommended)

The Agent should execute the following independent script to achieve "one command gets results":

# Example invocation
python -u ./scripts/youtube_influencer_finder_api.py "keywords" "Upload_Date"

⏳ Running Status Monitoring

Since this task involves automated browser operations, it may take a long time (several minutes). The script will continuously output status logs with timestamps while running (e.g., [14:30:05] Task Status: running). Agent guidelines:

• While waiting for the script to return results, please keep an eye on the terminal output.
• As long as the terminal continues to output new status logs, it means the task is running normally. Do not misjudge it as a deadlock or unresponsiveness.
• If the status remains unchanged for a long time or the script stops outputting without returning a result, only then consider triggering the retry mechanism.

📊 Data Output

After successful execution, the script will parse and print the results directly from the API response. The results include:

• total_views: Total channel views
• video_count: Total number of videos
• subscriber_count: Total subscriber count
• registration_date: Channel registration date
• country: Creator's country/region
• youtube_channel: Direct link to YouTube channel
• email_action: Contact email if available
• link: All visible social links (Platform: URL format, multiple links separated by line breaks)
• profile_description: Channel description and bio
• profile_name: Creator's channel name

⚠️ Error Handling & Retry

During script execution, if errors occur (such as network fluctuations or task failure), the Agent should follow this logic:

1. Check the output content:

   • If the output contains "Invalid authorization", it means the API Key is invalid or expired. At this point, do not retry, but guide the user to recheck and provide the correct API Key.
   • If the output does not contain "Invalid authorization" but the task fails (for example, the output starts with Error: or returns an empty result), the Agent should automatically try to run the script once more.

2. Retry limit:

   • Automatic retry is limited to once. If the second attempt still fails, stop retrying and report the specific error message to the user.