youtube-batch-transcript-extractor-api-skill

What This Skill Does

The youtube-batch-transcript-extractor-api-skill provides an automated, stable solution for capturing YouTube video transcripts, video metadata, and like counts in bulk. By leveraging the BrowserAct API, it eliminates the common technical hurdles associated with web scraping, such as CAPTCHA challenges, regional geofencing, and IP address restrictions. This skill is designed for researchers, content creators, and developers who need large datasets of YouTube content without the overhead of maintaining custom crawler scripts. It operates by performing targeted keyword searches, filtering results by date, and extracting structured data directly into your local environment for further processing, summarization, or analysis.

Installation

To integrate this skill into your OpenClaw agent, use the command-line interface to install it from the central repository. Run the following command in your terminal:

clawhub install openclaw/skills/skills/browseract-ai/youtube-batch-transcript-extractor-api-skill

Once installed, ensure your BROWSERACT_API_KEY is configured in your environment variables. Without this key, the agent cannot authenticate with the BrowserAct service. If you do not have a key, visit the official BrowserAct Console to generate one.

Use Cases

This skill excels in scenarios requiring data aggregation from the world's largest video platform. Common use cases include:

• AI Pipeline Feeders: Gathering large volumes of video transcripts to train or ground RAG (Retrieval-Augmented Generation) pipelines.
• Trend Analysis: Monitoring recent videos under specific technical or niche keywords to observe emerging industry trends.
• Media Research: Batch-extracting subtitles for longitudinal studies or thematic analysis across thousands of videos.
• Content Repurposing: Quickly retrieving full transcripts of competitor content for summarization, repurposing into blog posts, or generating meeting-style minutes.

Example Prompts

1. "I need to analyze AI trends from this week. Please extract full transcripts and metadata for the top 10 YouTube videos related to 'Generative AI'."
2. "Search for 'OpenClaw' on YouTube and scrape the transcripts and like counts for all videos published this month."
3. "Start a batch extraction for 5 videos matching the keyword 'Python tutorials' from this week so I can build a learning dataset."

Tips & Limitations

• Efficiency: Use smaller Datelimit values (e.g., 1-5) for initial testing to verify your keywords and date filters before running large-scale extractions.
• Status Monitoring: The script provides real-time logs; keep the terminal open and watch for the [Task Status: running] message to confirm operations are progressing. Do not close the window while these logs are generating.
• Cost-Efficiency: Because this tool relies on pre-set workflows rather than heavy generative AI browser control, it is significantly cheaper and faster than general-purpose autonomous agents, making it the preferred choice for repetitive scraping tasks.