AgenticCrawler empowers users to perform complex web scraping and automation tasks without writing any code. By leveraging large language models, users simply describe their desired outcome in natural language, and the agent intelligently plans and executes the necessary browser actions. Packaged as a self-contained Rust binary, it boasts smart fetching capabilities that automatically adapt between fast HTTP requests and headless browser rendering for JavaScript-heavy pages, offering a robust toolbox of 21 browser interaction and extraction tools, and supporting 25 diverse LLM providers, along with both MCP client and server functionalities.
