Compare Gaffa vs. Outcrawl

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.

Outcrawl is a cloud-based service that provides web data and browser infrastructure tailored for developers who create AI agents and data pipelines. It offers an API and developer tools designed to extract data from specific URLs into Markdown or structured JSON format, explore websites, conduct web searches, and retrieve page content, as well as initiate cloud browsers via the Chrome DevTools Protocol and execute browser-agent tasks. Users benefit from a shared credit balance for these services, with varying costs based on the operations performed. Developers can utilize the service through SDKs in TypeScript and Python, a command-line interface, or an MCP server, and can seamlessly connect browser sessions using Playwright over CDP. Moreover, sessions and agent executions can be recorded, allowing for detailed step-by-step replay. The platform is particularly beneficial for automated research, web data collection, browser-based workflows, and executing agent tasks that require interaction with various websites, making it a versatile tool for developers in the field. This flexibility enhances productivity and streamlines the development process, ensuring that users can efficiently tackle a wide range of web-related tasks.