Compare Gaffa vs. agent-browser

Gaffa is a REST API built for web scraping and browser automation, allowing developers to run real, full browsers at scale with a single API call. It removes the difficulty of managing headless browser frameworks, rotating proxies, CAPTCHA solving, and scaling infrastructure, all of which are handled automatically. JavaScript-heavy and dynamic websites render exactly as they would for a human visitor by default. Beyond standard scraping, Gaffa supports AI-driven structured data extraction (extract data into a defined schema without writing CSS selectors), screenshot and PDF capture, infinite-scroll and form-filling automation, and clean Markdown conversion for feeding webpages directly into LLM and RAG pipelines. A rotating residential proxy network keeps access reliable across regions, and a credit-based pricing model means teams pay only for the browser time and bandwidth they actually use. Gaffa is designed for AI engineers, data teams, and developers who want production-grade web data extraction without having to build and maintain their own infrastructure.

Agent-browser is a command-line interface for browser automation specifically tailored for AI agents, featuring a streamlined text output that conserves context and is built entirely in Rust. By adopting an agent-first methodology, it prioritizes succinct output over lengthy JSON, which significantly lowers token usage during automation tasks. The snapshot command provides an accessibility tree where each interactive element is assigned a distinct reference, enabling agents to accurately select elements without the need for continuous DOM queries. With over 50 commands available, it encompasses aspects such as navigation, form handling, screenshot capture, monitoring network activities, managing storage, and working with tabs, frames, and debugging tools. Its built-in observability tools include capabilities for video recording, streaming, debugging, profiling, and page comparison, ensuring robust support for modern applications through features like network management, analysis of React and Web Vitals, initialization scripts, and seamless integration with Next.js and Vercel. This comprehensive suite of functionalities makes agent-browser an essential tool for developers working with AI-driven browser automation.