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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SurveyJS is an embeddable, self-hosted, white-label form builder for teams building custom forms, surveys, questionnaires, and other data collection tools inside web applications. It runs entirely on the client and is fully compatible with all modern JavaScript frameworks, including React, Angular, and Vue. SurveyJS integrates with any backend, giving you full control over data, security, user access, deployment, and business logic. Instead of hardcoding forms, you can empower non-technical users to generate and edit JSON schema-based form configurations through a drag-and-drop form builder.
Create dynamic forms with custom conditional logic, validation, multilingual support, PDF export, and analytics. Ideal for SaaS, enterprise software, HR, healthcare, fintech, and other regulated industries, SurveyJS helps teams reduce engineering effort, standardize data collection, maintain full control over data, and deliver unlimited forms that match their brand and feel native to users.
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Mako
It provides a familiar, non-XML syntax that compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django and Jinja2 templates, Cheetah, Myghty, and Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics. As templates are ultimately compiled into Python bytecode, Mako's approach is extremely efficient and was originally written to be just as fast as Cheetah. Today, Mako is very close in speed to Jinja2, which uses a similar approach and for which Mako was an inspiration. Can access variables from their enclosing scope as well as the template's request context
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