An automated utility for gathering bulk YouTube video transcripts, likes, and channel metadata without scripts or CAPTCHAs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install youtube-batch-transcript-extractor-api-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install youtube-batch-transcript-extractor-api-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is YouTube Batch Transcript Extractor API Skill?
The YouTube Batch Transcript Extractor API Skill is a robust data acquisition tool designed for the Openclaw Skills ecosystem. It leverages the BrowserAct API to bypass traditional scraping hurdles like reCAPTCHA, IP rotations, and regional geofencing. By providing simple search parameters, users can programmatically retrieve full video transcripts and structured metadata, making it an essential asset for researchers, content creators, and data scientists.
This skill is engineered for stability and speed, ensuring that AI agents can gather high-fidelity data for summarization, sentiment analysis, or trend tracking. Unlike generative AI models that might hallucinate content, this skill fetches the exact subtitles and engagement metrics directly from the source, providing a reliable foundation for any AI-driven pipeline within Openclaw Skills.
YouTube Batch Transcript Extractor API Skill Use Cases
- Building massive datasets of video transcripts for training specialized LLMs.
- Monitoring recent industry trends by extracting content from videos published this week.
- Automating media research through batch retrieval of structured subtitle data.
- Gathering full video content for automated AI summarization and newsletter drafting.
- Scoping competitor engagement by collecting video titles, URLs, and likes counts in bulk.
How YouTube Batch Transcript Extractor API Skill Works
- The agent receives a user request containing keywords and optional filters like upload date.
- The skill verifies the existence of the BROWSERACT_API_KEY environment variable.
- A Python script is initiated to send a request to the BrowserAct API with the specified search parameters.
- The system monitors real-time status logs to track the progress of the automated browser session.
- Structured data, including full transcripts and publisher info, is parsed and returned to the agent.
- In case of transient failures, a single automatic retry logic is implemented to ensure high success rates.
YouTube Batch Transcript Extractor API Skill Setup
To use this Openclaw Skills component, you must first obtain an API key from the BrowserAct Console.
YouTube Batch Transcript Extractor API Skill Data Schema & Taxonomy
The skill produces a structured output directly from the YouTube metadata layer. The following fields are captured for every video in the batch:
| Field | Description |
|---|---|
| Video Title | The full title of the captured video. |
| Video URL | Direct link to the YouTube video page. |
| Publisher | The name of the YouTube channel. |
| Channel Link | Direct URL to the publisher's channel page. |
| Video Likes Count | Total number of likes at the time of extraction. |
| Subtitles | The full, unstructured text transcript of the video content. |
YouTube Batch Transcript Extractor API Skill Advanced Features
- Smart Error Handling: Automatically detects "Invalid authorization" to prevent wasted retries and identifies transient network issues for a single automatic retry attempt.
- Real-time Status Monitoring: Outputs continuous timestamped logs to prevent the agent from timing out during long-running browser automation tasks.
- Date Filtering: Supports granular time-based extraction including Today, This week, This month, and This year.
- High-Volume Scaling: Configurable Datelimit allows for quick testing with 1-5 videos or massive data harvesting for research projects.
SKILL.md
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