xueqiuAccess and summarize public posts and stock data from Xueqiu for basic market insights without trading or bulk data extraction.
Install via ClawdBot CLI:
clawdbot install mike47512/xueqiuGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://xueqiu.com/`Audited Apr 17, 2026 · audit v1.0
Generated Mar 31, 2026
Financial analysts use this skill to monitor public sentiment on Xueqiu by summarizing posts about specific stocks or topics, extracting metrics like likes and comments to gauge investor interest and trends without manual browsing.
Market researchers automate the extraction of basic stock data such as price and volume from Xueqiu's public pages to track competitors' performance and industry trends, ensuring up-to-date insights for strategic planning.
Investment advisors leverage this skill to compile summaries of popular posts and stock information from Xueqiu, providing clients with curated updates on market discussions and key metrics to support informed decision-making.
Media agencies use the skill to analyze topic and sector distributions on Xueqiu, generating statistical reports on trending discussions to identify emerging financial narratives and inform content strategies.
Offer a paid service where users receive regular reports generated from Xueqiu data, such as post summaries and stock trends, tailored for investors or businesses needing automated market insights without direct platform access.
Provide a free basic version for personal use with limited data extraction, and charge for advanced features like detailed trend analysis or higher frequency updates, targeting retail investors seeking cost-effective market monitoring.
License the skill to financial software companies or trading platforms, integrating Xueqiu-derived data into their dashboards to enhance user experience with real-time social sentiment and stock metrics from a trusted source.
💬 Integration Tip
Trigger parsing manually after opening pages to handle dynamic rendering and human verification, and limit request frequency to avoid detection while focusing on lightweight data extraction.
Scored Apr 28, 2026
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