
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.
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Hundreds of companies and millions of employees use Axero’s intranet software to communicate, collaborate, manage tasks and events, organize content, and develop their company culture.
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Mark Text
Mark Text is an open-source project licensed under MIT, and users can always access the latest version through the GitHub release page. The project is actively under development, with its progress heavily reliant on the contributions of various sponsors. It offers support for GitHub Flavored Markdown table blocks, allowing users to easily add or remove rows and columns. Additionally, it features the ability to create flowcharts, sequence diagrams, Gantt charts, and Vega charts. The application adheres to both CommonMark and GitHub Flavored Markdown specifications. Users benefit from a real-time preview (WYSIWYG) along with a streamlined interface designed to facilitate a distraction-free writing environment. It also includes Markdown extensions for math expressions (via KaTeX), front matter, and emojis. Furthermore, users can enhance their writing efficiency with support for paragraphs and inline style shortcuts, and they can conveniently paste images directly from their clipboard into the document. Overall, Mark Text aims to provide a comprehensive set of tools for effective and efficient markdown editing.
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Blume
Blume serves as a Markdown-centric, open-source framework designed for efficiently creating production-ready documentation sites with minimal configuration required. Each project is encapsulated within a single folder of Markdown files, allowing automatic navigation generation, while features like search, theming, and Open Graph images are functional right away, with advanced customization options available as needed. The framework boasts over 30 theme-aware components and Markdown extensions, enabling users to incorporate callouts, cards, steps, tabs, file trees, package-install tabs, code groups, Mermaid diagrams, and KaTeX math without needing to manage imports or JSX. Moreover, Blume offers the capability to generate interactive references for OpenAPI and AsyncAPI, complete with endpoints, schemas, and a live “Try it” playground, all while integrating a built-in changelog that can be drawn from Markdown files or GitHub Releases. Content can be sourced from local Markdown files, remote repositories, CMS platforms, Notion, or custom backends, allowing for a seamless mixture of various content into a single website. Additionally, it is designed to cater to both human users and artificial intelligence, as each page can be accessed as raw Markdown, indexed via llms.txt, and queried using an integrated AI assistant to enhance the user experience. Overall, Blume streamlines the documentation process, making it accessible and efficient for all users.
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