wechat-article-search-api-skill
This skill helps users extract full article contents from WeChat using the BrowserAct API. The Agent should proactively apply this skill when users express needs like finding full WeChat articles for specific keywords, tracking WeChat public accounts for industry trends, extracting WeChat article contents for media research, monitoring public relations on WeChat platforms, collecting competitor updates from WeChat, getting full article body from WeChat links, monitoring brand exposure on WeChat articles, retrieving structured WeChat data for sentiment analysis, summarizing daily news from WeCh
npx skills add browser-act/skills --skill wechat-article-search-api-skill --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# WeChat Article Search API ## 📖 Introduction This skill provides users with automated WeChat article extraction through the BrowserAct WeChat Article Search API template. It allows for the direct extraction of full-content, structured WeChat articles based on keyword searches. Simply provide search keywords and optional date filters, and you can obtain comprehensive article data including the full body text. ## ✨ Features 1. **No hallucinations, ensuring stable and precise data extraction**: Pre-configured workflows avoid AI-generated hallucinations. 2. **No CAPTCHA issues**: No need to handle reCAPTCHA or other verification challenges. 3. **No IP restrictions or geo-blocking**: No need to handle regional IP limitations. 4. **Faster execution**: Task execution is faster compared to pure AI-driven browser automation solutions. 5. **Extremely high cost-effectiveness**: Significantly reduces data acquisition costs compared to AI solutions that consume a large number of tokens. ## 🔑 API Key Guidance Flow Before running, check the `BROWSERACT_API_KEY` environment variable. If not set, do not take other actions; request and wait for the user to provide it. **The Agent must inform the
- 📖 Introduction
- ✨ Features
- 🔑 API Key Guidance Flow
- 🛠️ Input Parameters
- 🚀 Invocation Method
- ⏳ Run Status Monitoring
- 📊 Output Data Explanation
- ⚠️ Error Handling & Retry
- 🌟 Typical Use Cases
Example invocation python -u ./scripts/wechat_article_search_api.py "keywords" limit "publication_date"
What does the wechat-article-search-api-skill skill do?
This skill helps users extract full article contents from WeChat using the BrowserAct API. The Agent should proactively apply this skill when users express needs like finding full WeChat articles for specific keywords, tracking WeChat public accounts for industry trends, extracting WeChat article contents for media research, monitoring public relations on WeChat platforms, collecting competitor updates from WeChat, getting full article body from WeChat links, monitoring brand exposure on WeChat articles, retrieving structured WeChat data for sentiment analysis, summarizing daily news from WeCh
How do I install it?
Run `npx skills add browser-act/skills --skill wechat-article-search-api-skill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.