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Apify
✓ verifiedFreemium
Full-stack platform for web scraping, data extraction, and automation; category leader.
👁 4.4M/mo♥ 2.0K
Pricing
No public pricing
Basic: Free
Cloud - Android: $250 / device / mo
Cloud - iOS: $250 / device / mo
Cloud - Web: $125 / browser / mo
Enterprise: Custom
Free: $0/mo ($5 included usage)
Starter: $29/mo ($26/mo billed annually)
Scale: $199/mo ($179/mo billed annually)
Business: $999/mo ($899/mo billed annually)
Free trial available
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦All-in-one IDE built specifically for testers
- ✦Visual testing to find elements and build tests visually
- ✦Cross-platform testing for iOS, Android, and Web apps (including various frameworks like React Native, Flutter, SwiftUI, etc.)
- ✦AI-Assisted testing with MaestroGPT for command generation and support
- ✦Element inspector for easy identification of UI elements
- ✦Action recording to automatically generate test commands
- ✦Integration into CI/CD pipelines for shift-left testing
- ✦Parallel test execution on enterprise-grade cloud infrastructure
- ✦Test reporting and deep analysis of flows
- ✦Web scraping
- ✦Data extraction
- ✦Browser automation
- ✦AI agents
- ✦Anti-blocking
- ✦Proxy rotation
- ✦Open-source tools (Crawlee)
- ✦Ready-made tools and code templates
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Automating end-to-end UI tests for mobile and web applications.
- →Creating and running tests in minutes without extensive setup.
- →Scaling test execution with cloud-based parallel runs.
- →Enabling non-technical team members to write and maintain tests.
- →Integrating automated tests into continuous integration workflows (e.g., pre-release, nightly, pull request checks).
- →Ensuring quality control and catching issues early in the development lifecycle.
- →Data for generative AI
- →Lead generation
- →Market research
- →Sentiment analysis
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