Gaffa vs. Browser Use

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.

Browser Use provides AI agents and browser infrastructure for automating work on websites. Developers can delegate a task to a hosted agent or connect their own automation to a managed browser. It helps software complete website workflows where a usable API is missing, from collecting information to filling forms and downloading documents. Browser Use Agents accepts natural-language instructions and carries out multi-step tasks in a real browser. Teams can add browser actions to their products without building and operating the agent loop themselves. Typical workflows include cross-site research, authenticated document collection, data extraction, and repetitive work across customer or vendor portals. Browser Infrastructure provides remote Chromium sessions for existing agents, Playwright scripts, and Puppeteer automation. Features include browser stealth, residential proxy options, and automatic handling of supported CAPTCHAs. Teams keep control of their automation logic while Browser Use manages the browsers. Reusable browser profiles help preserve authenticated access between tasks. For developers who want to run and customize their own agents, the MIT-licensed browser-use Python library works with local or cloud browsers. Browser Harness, CLI tools, SDKs, and Model Context Protocol (MCP) interfaces provide additional ways to connect browser capabilities to existing applications and agents. Browser Use serves developers building AI products, automation and data engineers, and software teams connecting business processes across third-party websites. Enterprise options include custom concurrency, SLAs, support, and negotiated data policies. Cloud services use pay-as-you-go pricing with no required subscription. Browser runtime starts at $0.02/hour, with network traffic billed separately. Hosted agents add model costs and a 20% service fee. Purchased credits do not expire, and eligible signups receive a one-time $15 cloud credit.