Show HN: Browser4 – an open-source browser engine for agents and concurrency (github.com)

Browser4 has been announced as an open-source browser engine designed to empower artificial intelligence with enhanced web interaction capabilities. It allows users to harness the power of their own large language models (LLMs) while providing the infrastructure to automate complex browser tasks. The engine features high-performance automation for tasks such as data extraction, navigation, and interactive browsing through autonomous agents that understand natural language commands, enabling them to perform detailed analyses and return results in structured formats like JSON or Markdown. This development is significant for the AI/ML community as it bridges the gap between LLM intelligence and precise web automation, allowing for efficient data extraction with capabilities to process 100,000 to 200,000 page visits daily on standard hardware. Key technical features include coroutine-safe operations for speed, a unique machine learning agent that identifies field structures without incurring API token costs, and a powerful SQL-like query language for extracting data from complex web pages. Together, these capabilities reduce the latency and costs associated with traditional LLM methods, opening up new possibilities for high-precision data collection at scale.