Gaffa vs Playwriter

In an era where data is the backbone of strategic decision-making, accessing reliable web data at scale has become a daunting task. Gaffa emerges as the solution to this pressing challenge, offering a powerful API designed for seamless web automation and data extraction. Unlike traditional scraping tools, which often falter against sophisticated anti-bot measures, CAPTCHAs, and dynamic content, Gaffa simplifies the process through a single REST API endpoint. This approach allows developers, data scientists, and businesses to control real browsers that mimic human behavior, ensuring effective data extraction in any format. Whether you are a startup seeking competitive intelligence, an enterprise constructing a data pipeline, or a researcher collecting public information, Gaffa alleviates the technical burdens of web scraping. By handling the complexities of infrastructure management and browser automation, Gaffa enables users to focus on extracting actionable insights rather than troubleshooting broken pipelines. Its core value proposition is clear: empower users to harness the full potential of web data while navigating even the most challenging websites effortlessly.

AI agents cannot browse the web properly. They either have no browser access, or they get a fresh Chrome with no logins, no extensions, and instant bot detection. Playwriter gives them your actual browser session instead. One Chrome extension, full automation API, everything you are already logged into. Includes accessibility snapshots (5-20KB instead of 100KB+ screenshots), a debugger with breakpoints, live code editing, network interception, and video recording. Works with any MCP client: Cursor, Claude, VS Code, and more. Open source, MIT licensed.