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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Wave Browser is designed for people who want a safer, faster, and more meaningful way to explore the web. Built on strong security principles, Wave puts you in control of your privacy with customizable cookie and tracker blocking, incognito mode, and clear permission choices. AppEsteem Certification ensures Wave meets strict, independently verified standards for clean installation, transparent behavior, and responsible software practices, giving you confidence every time you browse.
Wave is also built for productivity, offering tools that help you stay organized and move through information with purpose. Tab grouping, bookmarks, and a reading list keep ideas within reach, while split screen let you research, compare, or watch without switching between windows. Memory Saver mode helps your device stay fast during heavy sessions, and the built-in AI Assistant and messaging integrations bring your favorite tasks closer to a single click.
Designed to be simple and user-friendly, Wave Browser removes friction from everyday browsing. The free ad blocker keeps pages clean, and built-in tools—like the converter, package tracker, price tracker, translation tool, stock tracker, and content notifier—help you get things done without extra extensions.
Most importantly, Wave is a browser with real ocean impact built in. Through a certified partnership with 4ocean, Wave helps fund the removal of 100,000 pounds of trash from our ocean, rivers, and coastlines every year. A live impact tracker shows exactly how much waste the Wave community has helped remove, with verified monthly updates from cleanup crews in the U.S., Indonesia, and the Dominican Republic. With Wave Browser, your everyday browsing directly supports a cleaner planet and the people working to protect it.
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Redecta
Redecta is a web-based data protection solution tailored for individuals and organizations utilizing generative AI services. This Chrome extension identifies sensitive data within prompts and conceals it prior to submission to compatible AI platforms. Users can select from established detection methods and develop personalized masking protocols, while teams can oversee masking configurations, policies regarding AI usage, and monitor activity through an intuitive web dashboard. The tool is crafted to seamlessly integrate with browser-based AI workflows, allowing users to maintain their existing services without needing to transition to an alternative AI interface. Redecta aims to assist both individuals and groups in minimizing the risk of inadvertently sharing personal, customer-related, confidential, or internal information in AI prompts. Its accessibility is contingent upon the specific platforms and browser configurations in use. Additionally, it empowers users by providing flexible options tailored to their unique data protection needs.
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DATPROF
Mask, generate, subset, virtualize, and automate your test data with the DATPROF Test Data Management Suite. Our solution helps managing Personally Identifiable Information and/or too large databases. Long waiting times for test data refreshes are a thing of the past.
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