A high-performance automated data extraction tool for harvesting structured YouTube channel information via the BrowserAct API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install youtube-channel-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-channel-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 Channel API Skill?
This skill provides a robust bridge between AI agents and real-time YouTube data. By leveraging the BrowserAct YouTube Channel API template, it enables the extraction of clean, structured results directly from YouTube search queries without the risk of AI hallucinations or the friction of CAPTCHAs. It is an essential component of Openclaw Skills for developers and researchers needing reliable creator metadata.
Unlike purely generative AI solutions, this skill ensures stable data acquisition by using pre-set workflows. It effectively handles regional IP restrictions and geo-blocking, providing a faster and more cost-effective way to build databases compared to token-heavy browser automation methods within the Openclaw Skills ecosystem.
YouTube Channel API Skill Use Cases
- Automated influencer sourcing for marketing and outreach campaigns.
- Competitor analysis to track channel growth and content updates.
- Building comprehensive creator databases for niche market research.
- Identifying emerging vloggers and content trends through keyword monitoring.
- Enriching CRM data with verified YouTube channel handles and subscriber metrics.
How YouTube Channel API Skill Works
- The user provides search keywords and optional upload date filters to the agent.
- The agent verifies the presence of a valid BROWSERACT_API_KEY in the environment variables.
- A specialized Python script triggers the BrowserAct API template to perform a live search on YouTube.
- The system bypasses regional IP restrictions and verification challenges to retrieve raw channel data.
- The skill parses the API response into structured fields like channel links, descriptions, and subscriber counts.
- The final data is presented to the user or piped into other Openclaw Skills for further processing.
YouTube Channel API Skill Setup
To use this skill, you must first obtain an API key from the BrowserAct Console. Once you have the key, configure your environment and run the script as follows:
# Set your API key
export BROWSERACT_API_KEY='your_api_key_here'
# Execute the extraction script
python -u ./scripts/youtube_channel_api.py "[Search Keywords]" "[Upload Date Filter]"
YouTube Channel API Skill Data Schema & Taxonomy
The skill outputs structured data in a format suitable for database ingestion or spreadsheet reporting. The following table describes the primary data points extracted:
| Field | Description |
|---|---|
| channel_title | Display name of the YouTube channel |
| channel_link | Full URL to the channel homepage |
| verified | Boolean indicating YouTube verification status |
| handle | Unique @handle associated with the channel |
| subscribers | Total subscriber count |
| description | Bio or channel description text |
| thumbnail | URL to the channel avatar image |
YouTube Channel API Skill Advanced Features
- Automatic retry logic to handle network fluctuations or temporary API failures.
- Support for upload date filtering to identify channels with recent activity.
- Real-time status monitoring with timestamped logs for long-running extraction tasks.
- Seamless integration with other Openclaw Skills to automate multi-step research and data enrichment pipelines.
SKILL.md
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