Compare Gaffa vs. Scalebrowser

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.

Scalebrowser provides a self-hosted infrastructure designed specifically for AI agents that require the capability to accomplish genuine tasks. Each unique profile maintains consistency in identity, cookies, passkeys, memory, and tasks, regardless of whether the system is restarted or if the user switches devices. It utilizes a modified Chromium engine alongside authentic local GPU values, enabling human-like interactions and effective handling of captchas, email and SMS verification codes, and TOTP, all while allowing browser-level prompt control to ensure agents can navigate beyond the limitations faced by standard automation tools. Users can connect through various methods including MCP, REST, Node.js, Python, or even direct CDP for versatile integration. This level of functionality empowers AI agents to perform in environments that typically resist automation attempts.