A professional-grade API for extracting, transcribing, and translating YouTube video content into structured text formats.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install youtube-transcript-api
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install youtube-transcript-api using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The YouTube Transcript API Skill provides a robust interface for developers to programmatically access YouTube video data. By integrating this into Openclaw Skills, users can automate the retrieval of native captions, generate ASR transcripts for videos lacking subtitles, and translate content into over 100 languages. This skill is essential for building AI pipelines that require high-quality video-to-text conversion.
This tool supports multiple output formats including timestamps and paragraphs, making it ideal for LLM context windows and content repurposing. Whether you are processing a single video or performing batch operations on up to 100 IDs, this skill ensures reliable delivery of transcript data through both synchronous and asynchronous workflows. Using Openclaw Skills with this API enables seamless integration of video content into your automated agents.
To get started with this skill, install the official Node.js SDK or use standard HTTP clients to interact with the API. Ensure your environment has your API key stored securely for use within Openclaw Skills.
npm install youtube-audio-transcript-api
Configure your authorization header to test the connection via CLI:
curl -X POST https://youtubetranscript.dev/api/v2/transcribe \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"video": "dQw4w9WgXcQ"}'
The skill organizes data primarily through JSON objects containing transcript segments and metadata. Openclaw Skills can parse this data using the following taxonomy:
| Component | Type | Description |
|---|---|---|
| video_id | String | The unique 11-character YouTube identifier |
| transcript | Array | List of objects containing text, start time, and duration |
| language | String | The ISO 639-1 code of the returned content |
| status | String | Current state of the job (e.g., completed, processing) |
Output formats can be customized to timestamp, paragraphs, or words based on the request configuration to suit different Openclaw Skills requirements.
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