wechat-article-search-api-skill
OfficialExtract full WeChat articles via API for research.
Data & Analytics#research#api#wechat#article-extraction#sentiment-analysis#wechat-articles#browseract
Authorbrowser-act
Version1.0.0
Installs0
System Documentation
What problem does it solve?
WeChat researchers and analysts struggle to obtain the full text of articles from WeChat public accounts without manual scraping. This skill automates reliable extraction via the BrowserAct API, enabling quick access to complete article bodies for research, monitoring, and sentiment analysis.
Core Features & Use Cases
- Full-content extraction: Retrieve complete article body, title, image, and metadata from WeChat links based on keywords.
- Structured output: Produce data suitable for knowledge bases, sentiment analysis, and trend tracking.
- Use Case: Track industry mentions by aggregating full WeChat articles for targeted keywords across multiple public accounts.
Quick Start
Provide keywords and optional date filters to retrieve full WeChat articles via the BrowserAct API.
Dependency Matrix
Required Modules
requests
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: wechat-article-search-api-skill Download link: https://github.com/browser-act/skills/archive/main.zip#wechat-article-search-api-skill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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