A professional tool for extracting full-text WeChat articles and structured metadata via the BrowserAct API without manual scraping or CAPTCHA hurdles.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wechat-article-search-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 wechat-article-search-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 WeChat Article Search API?
The WeChat Article Search API skill is a robust data extraction tool designed for Openclaw Skills users who need high-fidelity access to the WeChat ecosystem. By leveraging the BrowserAct API, this skill bypasses common web scraping obstacles such as IP blocking, geo-fencing, and complex CAPTCHA challenges, providing a seamless stream of structured data.
Unlike traditional AI browsing which can be slow and token-expensive, this Openclaw Skills integration uses pre-configured templates to ensure zero hallucinations and maximum cost-effectiveness. It delivers the full body content, author details, and publication dates directly to your agent, making it an essential asset for deep media research and automated content monitoring.
WeChat Article Search API Use Cases
- Content Monitoring: Track brand mentions and sentiment across the WeChat platform.
- Media Research: Analyze full-text articles from influential public accounts.
- Competitor Intelligence: Automatically collect and review updates from competitor WeChat profiles.
- Knowledge Base Augmentation: Feed structured WeChat data into internal RAG systems or archives.
- Trend Tracking: Monitor industry keywords like AI or Fintech to stay ahead of regional trends.
How WeChat Article Search API Works
- The agent checks for a valid BROWSERACT_API_KEY in the environment variables.
- User provides search keywords and optional parameters like result limits or specific publication dates.
- The skill invokes a Python script that communicates with the BrowserAct WeChat template.
- The system monitors live timestamped logs to ensure the automated browser task is proceeding correctly.
- Structured JSON data containing the full article body and metadata is returned and parsed for the user.
WeChat Article Search API Setup
To use this within the Openclaw Skills framework, ensure Python is installed and configure your API key:
# Export your BrowserAct API Key
export BROWSERACT_API_KEY='your_api_key_here'
# Run the extraction script
python -u ./scripts/wechat_article_search_api.py "your_keyword" 10 "2026-05-09"
WeChat Article Search API Data Schema & Taxonomy
The skill returns highly structured data for every article found. The schema includes:
| Field | Description |
|---|---|
| title | The full headline of the WeChat article |
| body_content | The complete, un-truncated text of the article |
| author | The name of the publishing account or individual |
| publication_date | When the article was officially posted |
| url_link | The direct permanent link to the article |
| image_url | The primary cover or featured image URL |
WeChat Article Search API Advanced Features
- Anti-Hallucination Guardrails: Uses template-based extraction to ensure data accuracy.
- Real-time Status Monitoring: Continuous log output prevents timeout misjudgments during long-running browser tasks.
- Automated Error Recovery: Includes built-in logic to automatically retry failed tasks once unless authorization issues are detected.
- High-Volume Batching: Supports adjustable extraction limits for large-scale data harvesting projects.
SKILL.md
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