Fire crawl getting blocked due to Headlessness (github.com)

Teracrawl has launched a high-performance web crawler and scraper API optimized for large language models (LLMs), achieving a remarkable coverage rate of 84.2% across 14 scraping providers, as tested by the scrape-evals benchmark. This production-ready API simplifies the extraction of web content, converting complex HTML into clean, LLM-ready Markdown while adeptly handling JavaScript rendering and anti-bot measures. Unlike traditional HTML scrapers, Teracrawl employs managed Chrome browsers to ensure high success rates, even with protected content. The API features innovative two-phase crawling modes—Fast and Dynamic—enabling efficient scraping of both static websites and complex single-page applications (SPAs). With capabilities like simultaneous querying of Google search results and direct URL scraping, Teracrawl supports high concurrency and robust content extraction while blocking ads and trackers. Its Docker-ready design allows seamless deployment, making it an essential tool for AI developers seeking reliable access to real-time web data for their models. This advancement represents a significant leap for the AI/ML community, as it empowers developers to integrate up-to-date web information into their applications more efficiently than ever before.