
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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Document360
Document360 is a smart Knowledge base platform. With powerful AI features and advanced tools, it helps businesses create, manage, and share high-quality documentation for diverse use cases.
Use Cases
Knowledge Base for Customers and Teams
Create a centralized knowledge hub with AI-powered search and auto-tagging to ensure quick answers and improved team productivity. Analytics help identify gaps and optimize content.
IT Documentation (Including API Docs)
Streamline technical documentation with markdown support, version control, and features for developers like code snippet embedding. AI ensures content is always accurate and relevant.
Standard Operating Procedures (SOPs)
Maintain consistent processes across teams with a central repository for SOPs. AI-driven categorization and content suggestions make creation and updates simple.
User Manuals
Design professional manuals with customization options, AI summarization, and localization tools to cater to diverse user needs.
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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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