Web Crawler is a dedicated tool developed by the financial-datasets organization whose core value is to provide efficient data collection capabilities for LLM and AI agents. The tool runs through the Python 3.12+ environment and uses the DuckDuckGo API to realize a full web search, with a special emphasis on its timeliness sorting feature - all results are strictly sorted in reverse order of publication time to ensure that the latest information is presented first. Typical output contains JSON structured data with three elements: title/url/published_date, and this design enables it to seamlessly interface with subsequent AI processing processes.
Compared with the traditional crawler, its advantages are reflected in: first, the minimalist CLI interaction mode, supporting continuous query without rebooting; second, the uv toolchain to achieve rapid deployment, developers clone the warehouse through theuv runIt can be used immediately; thirdly, it focuses on data crawling in the financial field, and the default configuration has been optimized for the retrieval of professional content such as earnings meetings and market analysis.
This answer comes from the articleWeb Crawler: a command-line tool for real-time searching of Internet informationThe
