Cls News Scraper

What This Skill Does

The Cls News Scraper is a specialized OpenClaw agent skill designed to bridge the gap between real-time financial reporting and actionable investment insights. Developed by ningjingzhiyuande, this tool specifically targets Cailian Press (CLS), one of the most reputable sources for Chinese financial market intelligence. By scraping live news feeds, the agent automatically normalizes chaotic, unstructured text into structured market data. It filters incoming data based on specific user requirements—such as industry sectors and event triggers—ensuring that the user is not overwhelmed by information. The skill processes titles, summaries, tickers, and company names, adding a layer of classification to determine which news items constitute positive catalysts like '业绩预增' (earnings growth), '重大合同' (major contracts), or '政策扶持' (policy support). The output is provided in a clean tabular format, making it ready for integration with downstream analysis tools or automated trading spreadsheets.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/ningjingzhiyuande/cls-news-scraper Once installed, ensure your agent has network access to reach the CLS endpoints.

Use Cases

• Quantitative Alpha Generation: Use the extracted catalysts to populate a signal-driven model for potential daily stock momentum.
• Daily Market Briefings: Automate a morning report that extracts only the relevant news for your portfolio's specific sector holdings.
• Policy Monitoring: Track government policy shifts in sectors like '新能源' (New Energy) to anticipate long-term market trends.

Example Prompts

1. "Scrape the last 3 hours of news from CLS, filtering for '新能源' and '政策扶持' catalysts. Provide a summary table.
2. "Monitor Cailian Press for any '重大合同' news regarding companies in the '消费' sector and list the results with confidence scores.
3. "Summarize all earnings growth reports from CLS over the past 6 hours and format them as a table including source URLs.

Tips & Limitations

• Accuracy: While the agent classifies events, always verify the source URL before making financial decisions, as market volatility can lead to misinterpretation.
• Time Sensitivity: The skill defaults to a 1-hour window. If you are performing historical analysis, you may need to run the skill repeatedly or adjust the window parameters to capture a wider range of data.
• Rate Limiting: Be mindful that frequent scraping of public news sites may trigger rate limits; use reasonable polling intervals.