wechat-article-search-api-skill

To extract full-text content from WeChat articles via an API, you provide search keywords and optional date filters to retrieve the complete article body, title, image, and metadata. This requires a Browseract API key to run the extraction task.

Yes, you can search WeChat public accounts by keyword and publication date. The task requires keywords, Date_limit, and publication_date as input parameters to filter and retrieve relevant articles through the Browseract API template.

WeChat article extraction is used for research, media monitoring, sentiment analysis, and competitive intelligence. It enables analysts to aggregate full article bodies across multiple public accounts to track industry mentions and analyze trends.

Yes, you need a Browseract API key to retrieve WeChat article data. The API key is required to authenticate requests and run the template that searches and extracts complete article content based on your specified keywords and date limits.

Yes, the WeChat article search API returns structured data suitable for sentiment analysis. It produces complete article text and metadata outputs that can be directly integrated into knowledge bases, trend tracking, and sentiment analysis workflows.

Limitations of extracting WeChat articles via API include dependency on the Browseract API key and the need for specific input parameters like keywords, Date_limit, and publication_date. Extraction success relies on the Browseract template's ability to access and parse public account content.