Apify
Apify is a full-stack web scraping and automation platform helping anyone get value from the web. At its core is Apify Store, a marketplace with over 10,000 Actors where developers build, publish, and monetize automation tools.
Actors are serverless cloud programs that extract data, automate web tasks, and run AI agents. Developers build them using JavaScript, Python, or Crawlee, Apify's open-source library. Build once, publish to Store, and earn when others use it. Thousands of developers do this - Apify handles infrastructure, billing, and monthly payouts.
Apify Store has ready-made Actors for scraping Amazon, Google Maps, social media, tracking prices, lead-gen, and more.
Actors handle proxies, CAPTCHAs, JavaScript rendering, headless browsers, and scaling. Everything runs on Apify's cloud with 99.95% uptime. SOC2, GDPR, and CCPA compliant.
Integrate with Zapier, Make, n8n, and LangChain. Apify's MCP server lets AI like Claude dynamically discover and use Actors
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Kevel
Kevel (previously Adzerk) gives you the APIs needed to quickly build your own fully-customized ad server for sponsored listings, internal promotions, native ads, and more – so you can take back the Internet and drive more online revenue. Our award-winning platform handles over three billion API requests each day, and it’s helped industry leaders like Yelp and Ticketmaster shorten their build times by more than 90%.
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TextCaptcha
The TextCaptcha service provides access to textual CAPTCHA challenges via a simple JSON or XML API over HTTP.
The question is the textual challenge that should be presented to the user. The answers are the MD5 hashes of correct lower cased answers: you should be able to check responses from real users you challenge with the question against these checksums.
A text CAPTCHA is more accessible to visually impaired users than their image-based alternatives like ReCAPTCHA. Using text is also more flexible if for example you need to present the challenge over a text-only channel like SMS or IRC.
The problem with text CAPTCHAs is that they provide inherently more information than a distorted image. They are parseable, under the right conditions solveable. With the advent of contextual parsing tools such as Wolfram Alpha, such simple logic puzzles have become easier to solve programatically.
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