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; you should request and wait for the user to provide it. At this point, the Agent must inform the user:

"Since you have not configured the BrowserAct API Key yet, please go to the BrowserAct Console first to get your Key."

🛠️ Input Parameters

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

1. keywords

   • Type: string
   • Description: Search keywords used to find videos on YouTube. Can be any keyword or phrase.
   • Example: AI, automation, web scraping
   • Default: AI

2. Comments_limit

   • Type: number
   • Description: Maximum number of comments to extract per video.
   • Example: 10, 20, 50
   • Default: 10

3. Scroll_count

   • Type: number
   • Description: Number of times to scroll in the comments section to load more comments before extraction.
   • Example: 1, 2, 5, 10
   • Default: 2

🚀 Invocation Method (Recommended)

The Agent should execute the following standalone script to achieve "one command, get results":

# Example invocation
python -u ./scripts/youtube_comments_api.py "keywords" "Comments_limit" "Scroll_count"

⏳ Running Status Monitoring

Since this task involves automated browser operations, it may take a long time (several minutes).