Kimurai: AI-First Web Scraping Framework for Ruby (github.com)

Kimurai, a newly unveiled web scraping framework for Ruby, integrates AI to optimize data extraction, allowing developers to write scrapers using an intuitive DSL. With Kimurai, the framework employs AI to generate and cache XPath selectors based on initial data requests, thus eliminating the need for costly LLM calls in subsequent scrapes. The solution promises faster performance by using pure Ruby for extractions after the initial AI-assisted setup, mitigating latency and token expenses associated with traditional AI models. This framework's significance lies in its ability to simplify the scraping process for various web technologies, including dynamic JavaScript-rendered pages. Besides supporting headless browsers like Chrome and Firefox, Kimurai enables seamless API integration with major LLM providers, allowing users to extract structured data without manually crafting selectors. The framework's versatile functionalities include rich configuration options, built-in error handling, parallel scraping capabilities, and ease of integration with scheduling systems, making it an attractive toolset for developers in the AI/ML and web scraping communities.