For the financial vertical, the tool implements three key optimizations: first, the built-in enterprise code recognition module supports the direct input of "AAPL" instead of the full name; second, the release time parsing is accurate to the daily level, which is better than the weekly granularity of the general-purpose search engine; and third, the results are automatically filtered for low-quality sites, and priority is given to returning authoritative sources such as SEC.gov. Third, the results automatically filter low-quality sites and prioritize the return of authoritative sources such as SEC.gov. Tests show that a search for "TSLA Q4 earnings call" returns links to the last 10 earnings conferences in 2.3 seconds, while manual searches take an average of 7 minutes.
In a typical workflow, the analyst integrates the tool into the Jupyter Notebook and captures the target company's dynamics through regular tasks: e.g., entering "NVDA analyst rating" to get the latest ratings before the market closes or executing "META stock buyback" to track repurchase announcements after the market closes. buyback" after the market close. The project documentation especially emphasizes that for periodic reports such as 10-K/10-Q, the tool can break through the paywall to directly access the original EDGAR system document URL.
This answer comes from the articleWeb Crawler: a command-line tool for real-time searching of Internet informationThe
