Compare Gaffa vs. Gollum

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.

The Gollum repository consists of text or markup files that can be easily edited by users. You have the flexibility to organize your pages in directories according to your preferences. In addition to text, you can also incorporate other types of content, such as images, PDFs, and headers or footers for your pages. By default, Gollum utilizes the kramdown gem for rendering Markdown, but you have the option to choose from any Markdown renderer that is compatible with github-markup. This includes support for CommonMark through the commonmarker gem. The first renderer you install from the available options will take precedence (for instance, if you have installed both redcarpet and github/markdown, only the first one will be active). To use a different renderer, simply execute a gem install command for your preferred choice, allowing for customization of your Markdown rendering experience. Gollum thus provides a versatile platform for managing documentation and content effectively.