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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Apify logo
Apify
✓ verifiedFreemium

Full-stack platform for web scraping, data extraction, and automation; category leader.

4.4M visits/mo2.0K saves
Pixels2Flutter logo
Pixels2Flutter
✓ verifiedFree

Turns UI screenshots into working Flutter code.

12K saves
Devv.AI logo
Devv.AI
✓ verifiedPaid

AI search engine for developers with code repo integration.

52K visits/mo4.2K saves
Code Autopilot logo
Code Autopilot
✓ verifiedFreemium

AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.

Kombai logo
Kombai
✓ verifiedFreemium

AI design engineer that designs UIs on a canvas and ships production frontend code in your own stack.

156K visits/mo
Pricing
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

No public pricing

No public pricing

No public pricing

Free: $0 (300 credits/month)
Pro: $20/month (2,000 credits)
Team: $40/user/month
Core features
  • Web scraping
  • Data extraction
  • Browser automation
  • AI agents
  • Anti-blocking
  • Proxy rotation
  • Open-source tools (Crawlee)
  • Ready-made tools and code templates
  • GitHub Mode for repository search
  • Web Mode for web-based information retrieval
  • Chat Mode for direct AI interaction
  • Model selection (GPT, Claude, Gemini)
  • Student discount program
  • Chat inside GitHub issues and PRs
  • Task-to-implementation plans with code
  • Automatic bug-fix suggestions
  • Pull-request summaries for faster review
  • Full-codebase context
  • GitHub-native integration
  • Design UIs on an infinite canvas
  • Production frontend code in your stack (400+ libraries)
  • Reuses your components, tokens, and hooks
  • In-browser editing with DevTools context
  • Design and code stay synced in your repo
  • Asset and animation generation
Use cases
  • Data for generative AI
  • Lead generation
  • Market research
  • Sentiment analysis
  • Writing API reference documentation
  • Brainstorming SEO strategies
  • Enhancing code functionality
  • Gaining insights into open-source projects
  • Resolving complex code issues
  • Speeding up pull-request reviews
  • Implementing features from task descriptions
  • Debugging with AI-proposed solutions
  • Answering questions about a repo
  • Boosting a solo developer's output
  • Turning designs into production frontend code
  • Building landing pages and product UIs
  • Refining UI directly in the browser
  • Keeping design and code in sync
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