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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.
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Code Autopilot
✓ verifiedFreemium
AI GitHub companion that summarizes PRs, answers questions and proposes fixes inside issues and pull requests.
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Scrapingdog
✓ verifiedFreemium
Web scraping API bundling SERP, e-commerce, and general site extraction with built-in proxy and browser handling.
113K visits/mo
Pricing
No public pricing
Free Plan: $0 one-time
Hobby: $16/month
Standard: $83/month
Growth: $333/month
Auto Recharge Credits: $11/mo for 1000 credits
Credit Pack: $9/mo for 1000 credits
Enterprise Plan: Contact for Pricing
No public pricing
No public pricing
Free: $0/mo (200 credits, 1 concurrency)
Lite: $40/mo (200,000 credits, 5 concurrency)
Standard: $90/mo (1,000,000 credits, 50 concurrency)
Pro: $200/mo (3,000,000 credits, 100 concurrency)
Premium: $350/mo (6,000,000 credits, 150 concurrency)
Free trial available
Core features
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- ✦Web scraping
- ✦Web crawling
- ✦Data extraction in Markdown, JSON, and screenshot formats
- ✦Dynamic content handling
- ✦Rotating proxies
- ✦Rate limits management
- ✦Open-source availability
- ✦Media Parsing
- ✦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
- ✦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)
- ✦Dedicated APIs for Google SERP, News, Maps, and e-commerce sites
- ✦Automatic proxy rotation and headless-browser handling
- ✦Geotargeting for location-specific results
- ✦Failed requests are not charged against credits
- ✦Wide range of concurrency-scaled subscription tiers
- ✦30-day free trial with 200 free credits and no card required
Use cases
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- →Powering AI assistants with real-time web content
- →Enhancing sales data with web information
- →Adding scraping capabilities to code editors
- →Enabling customers to build AI apps with web data
- →Extracting comprehensive information for in-depth research
- →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
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Developers pulling structured e-commerce product data
- →SEO tools tracking search-ranking positions
- →Apps monitoring TikTok or social profile/video data
- →Large-scale data pipelines needing high request concurrency
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