This project is an LLM-powered web crawler and data extractor that uses large language models to navigate websites and parse content into structured JSON or Markdown formats. It functions as an automated browser orchestrator and domain discovery engine, interpreting plain English instructions to identify relevant pages and extract specific information.
The system distinguishes itself through agentic browser automation, allowing it to perform human-like interactions such as clicking buttons and scrolling based on natural language commands. It employs goal-oriented crawling to analyze website structures and prioritize URL discovery according to high-level objectives rather than simple recursive linking.
The tool also includes capabilities for translating natural language requirements into search engine queries and generating OpenAPI schemas to enforce data contracts during extraction. Extracted data can be routed through a structured pipeline to external systems in real time via software development kits.