Compare AI Browser vs. Gaffa

AI Browser redefines browser automation by allowing users to perform complex web tasks using just natural language prompts. Instead of coding scripts or using extensions, you simply describe what you want done, and AI Browser executes it automatically on a cloud-based browser environment. From bulk job applications and LinkedIn outreach to Amazon ordering, data scraping, or form submissions, it can perform almost any browser action. Its Live View feature lets you monitor automation progress in real time, while its scheduler enables automatic task execution on an hourly, daily, or weekly basis. Users can also choose from ready-made templates for common workflows to save time and maximize efficiency. Perfect for marketers, founders, and operations teams, AI Browser removes manual drudgery and speeds up repetitive online work. Its secure architecture ensures all tasks run safely without interfering with your personal system. With endless automation possibilities, AI Browser is the ultimate assistant for anyone looking to simplify browser-based productivity.

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.