Compare Gaffa vs. ScrapingBee

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.

We oversee a multitude of headless instances utilizing the most recent version of Chrome. Concentrate on gathering the data you require instead of managing multiple headless browsers that could deplete your RAM and CPU resources. With our extensive proxy network, you can circumvent website rate limits, reduce the likelihood of being blocked, and conceal your automated processes! The ScrapingBee web scraping API excels at various scraping tasks such as real estate data collection, price tracking, and extracting reviews without facing blocks. Additionally, if your scraping needs involve clicking, scrolling, waiting for elements to load, or executing custom JavaScript on the target site, our JS scenario feature has you covered. For those who prefer not to code, our Make integration allows you to develop personalized web scraping solutions effortlessly, requiring no programming knowledge whatsoever! This flexibility enables users to adapt the scraping process to their specific needs seamlessly.