Compare Gaffa vs. Web2MD

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.

Web2MD transforms web pages, Reddit discussions, YouTube transcripts, and other supported document types into organized Markdown, enhancing workflows for AI, retrieval-augmented generation, and note-taking. This service includes a web application accessible through browsers, a Chrome extension, an API, and an MCP server. Users can easily extract content from pages in Chrome or send URLs and documents for conversion, subsequently utilizing the generated Markdown in AI assistants, research platforms, or their personal knowledge databases. It is particularly beneficial for developers crafting content pipelines, AI teams that curate source material for retrieval-augmented generation, as well as researchers, writers, and knowledge professionals seeking web and document content in a convenient text format. Furthermore, the MCP server provides conversion functionalities to compatible AI clients, whereas the web interface allows users to process their content seamlessly without the necessity of developing an additional integration. Overall, Web2MD streamlines the process of converting diverse content types into a unified format, making it an invaluable tool for various professional and academic uses.