
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.
Learn more

Apify provides the infrastructure developers need to build, deploy, and monetize web automation tools. The platform centers on Apify Store, a marketplace featuring 10,000+ community-built Actors. These are serverless programs that scrape websites, automate browser tasks, and power AI agents.
Developers create Actors using JavaScript, Python, or Crawlee (Apify's open-source crawling library), then publish them to the Store. When other users run your Actor, you earn money. Apify manages the infrastructure, handles payments, and processes monthly payouts to thousands of active developers.
Apify Store offers ready-to-use solutions for common use cases: extracting data from Amazon, Google Maps, and social platforms; monitoring prices; generating leads; and much more.
Under the hood, Actors automatically manage proxy rotation, CAPTCHA solving, JavaScript-heavy pages, and headless browser orchestration. The platform scales on demand with 99.95% uptime and maintains SOC2, GDPR, and CCPA compliance.
For workflow automation, Apify connects to Zapier, Make, n8n, and LangChain. The platform also offers an MCP server, enabling AI assistants like Claude to discover and invoke Actors programmatically.
Learn more
Arkose MatchKey
Arkose MatchKey challenges offer an innovative user experience, enhance performance, and feature robust styling options.
Unlike conventional CAPTCHAs, which are often bypassed by automated bots, Arkose MatchKey challenges are specifically crafted to combat contemporary threats by merging excellent defensibility, user-friendliness, and accessibility into a single solution. Notably, Arkose MatchKey is recognized as the most advanced CAPTCHA ever developed.
This cutting-edge series of challenges boasts top-tier security measures.
With an exceptional array of 3D visuals, our most challenging tasks can generate over 1,250 unique variations for users to tackle. While these challenges are designed to be straightforward for genuine users, the extensive variety complicates automated solutions significantly. To address the primary challenge of providing universally comprehensible instructions that transcend language and cultural barriers, we incorporate a key image that enhances clarity. These large, visually appealing images ensure that users can easily engage with the challenges. Additionally, the thoughtful design of these challenges promotes a seamless interaction for all users, further emphasizing their effectiveness.
Learn more
GeeTest
Conventional CAPTCHA systems distinguish between human users and automated bots through cognitive challenges, primarily relying on tasks involving visual recognition, where humans excel but machines typically struggle. However, advancements in machine learning have enabled machines to perform these cognitive tasks as well, complicating the landscape of bot detection. To counteract the increasing sophistication of bots, traditional CAPTCHA systems have had to become more complex, resulting in greater user friction and a decline in conversion rates. To address the delicate balance between security and user experience, GeeTest introduced its AI-driven Slide CAPTCHA in 2012. Rather than employing visual recognition challenges, GeeTest developed a self-adaptive defense model leveraging extensive biometric data accumulated over eight years, utilizing Graph Convolutional Networks (GCN). This innovative approach analyzes more than 200 parameters, offering a comprehensive and nuanced insight into bot activity linked to any API, ultimately enhancing security without compromising user engagement. As a result, GeeTest's solution not only improves identification of malicious entities but also fosters a smoother interaction for legitimate users.
Learn more