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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
Code Autopilot logo
Code Autopilot
✓ verifiedFreemium

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

Aide Dev logo
Aide Dev
✓ verifiedPaid

Aide helps developers code faster with parallel agents and automated workflows.

7.6K visits/mo
CodeReviewBot.AI logo
CodeReviewBot.AI
✓ verifiedFreemium

AI bot that reviews GitHub pull requests, flagging bugs, security and performance issues with detailed, consistent feedback.

2.8K visits/mo790 saves
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

Standard: $49 per month
Opensource: $0/mo (100 reviews/mo, public repos)
Starter: $15/mo (40 PR reviews/mo, private)
Pro: $75/mo (500 reviews/mo)

Free trial available

Core features
  • Web scraping
  • Data extraction
  • Browser automation
  • AI agents
  • Anti-blocking
  • Proxy rotation
  • Open-source tools (Crawlee)
  • Ready-made tools and code templates
  • 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
  • Parallel Agents for faster coding
  • GitHub native integration
  • Automated PR workflow
  • Smart PR suggestions
  • Automatic code reviews
  • Real-time progress tracking
  • Automated AI reviews on GitHub PRs
  • Bug, security and performance detection
  • Detailed, consistent feedback
  • Interactive code-review tool for snippets
  • Multi-language explanations
  • Customizable review rules (Pro)
  • Self-host/custom LLM (Enterprise)
Use cases
  • Data for generative AI
  • Lead generation
  • Market research
  • Sentiment analysis
  • 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
  • Automating code reviews
  • Generating PRs automatically
  • Improving code quality through continuous improvements
  • Automate pull-request reviews
  • Catch issues before merge
  • Get plain-English code explanations
  • Keep review quality consistent
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