Gaffa vs. AnyCrawler

Gaffa is an API for web scraping and browser automation that gives developers control over real, full browsers with a single request, no headless-browser setup, proxy management, or infrastructure scaling required. Pages render with full JavaScript support by default, matching exactly what a real user would see. The platform covers the full range of automation needs: scraping, AI-powered data extraction into structured JSON using custom schemas, full-page screenshots, PDF export, infinite-scroll scraping, automated form filling, and converting webpages into clean Markdown for AI and LLM workflows. Reliability is built in through a rotating residential proxy network and automatic CAPTCHA and anti-bot handling, so requests succeed even against protected sites. Pricing follows a transparent, credit-based model tied to browser execution time and bandwidth, making costs predictable as usage scales. Gaffa is aimed at AI engineers, data-driven teams, and developers who need dependable, large-scale web data without the overhead of running their own scraping infrastructure.

AnyCrawler is a web access framework designed specifically for AI applications, offering a cohesive production API that enables real-time web searches, page retrieval, browser rendering, Markdown extraction, screenshots, and detailed usage metrics for AI agents, RAG systems, research tools, and automation platforms. This sophisticated infrastructure is built to convert live web pages into well-organized AI context, adeptly managing static content, rendering intricate JavaScript sites, filtering out unnecessary HTML, and providing Markdown, metadata, links, and polished outputs through a single API. Additionally, AnyCrawler allows teams to kickstart their web discovery process by using a query to pinpoint potential pages, news articles, images, videos, or academic materials, subsequently funneling the most pertinent results into crawling, rendering, or screenshot workflows. By transforming web pages into clear, structured Markdown, AnyCrawler guarantees that downstream models receive streamlined and actionable context, removing the distractions of raw HTML, scripts, navigation components, and formatting issues. Consequently, teams are able to refine their workflows and boost the effectiveness of their AI projects, capitalizing on the vast range of resources accessible on the internet. This innovative approach not only simplifies data extraction but also significantly enhances the integration of web content into AI-driven solutions.