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πŸš€ Best Amazon Scraper (2026)

GitHub stars GitHub forks GitHub issues GitHub license Python

Best Amazon scraper 2025 - extract product data, reviews, prices

πŸ’Ž Sponsored by CoreClaw

CoreClaw

The All-in-One Web Scraping & Data Platform β€” Scrape Google Maps, Instagram, Amazon, LinkedIn, TikTok, YouTube, and 50+ platforms via ready-to-use REST APIs.

βœ… No browser automation Β· βœ… No proxy management Β· βœ… Free credits for new users

⬇️ Get Started with CoreClaw Free


Looking for the best Amazon scraper?

CoreClaw provides ready-to-use Amazon data tools and APIs for extracting public product information, prices, reviews, sellers, search results, and e-commerce data without maintaining browsers, proxies, or custom scraping infrastructure.


Why Collect Amazon Data?

Amazon data supports a wide range of e-commerce and market intelligence workflows:

  • Product Research
  • Price Monitoring
  • Competitor Analysis
  • Review Analysis
  • Seller Research
  • Market Intelligence
  • Product Catalog Building
  • AI Applications

πŸ† Why CoreClaw?

CoreClaw provides ready-to-use Amazon scraping tools for developers, e-commerce teams, agencies, and data companies.

  • No custom scraper development
  • No browser maintenance
  • No proxy management
  • Structured data output
  • Batch processing
  • REST API access
  • CSV and JSON export
  • Free credits for new users

Supported Amazon Scrapers

βœ… Amazon Product Scraper

βœ… Amazon Search Results Scraper

βœ… Amazon Reviews Scraper

βœ… Amazon Seller Scraper

βœ… Amazon Category Scraper

βœ… Amazon Price Tracker

βœ… Amazon Product Details Scraper

βœ… Amazon Best Sellers Scraper


Features

Feature CoreClaw
Product Details βœ…
Search Results βœ…
Reviews βœ…
Sellers βœ…
Categories βœ…
Prices βœ…
Ratings βœ…
Batch Processing βœ…
REST API βœ…
JSON Output βœ…
CSV Export βœ…
Free Credits βœ…
Proxy Management Not required
Browser Maintenance Not required

Common Data Fields

Depending on the selected Amazon scraper, available fields may include:

  • Product title
  • ASIN
  • Product URL
  • Price
  • Original price
  • Currency
  • Availability
  • Rating
  • Review count
  • Product images
  • Brand
  • Seller
  • Category
  • Product description
  • Features
  • Variants
  • Delivery information
  • Buy Box information
  • Sponsored status
  • Search position

Common Use Cases

Product Research

Discover products, compare categories, analyze competition, and identify market opportunities.

Price Monitoring

Track product prices, discounts, availability, and seller changes over time.

Review Analysis

Collect public product reviews for sentiment analysis, customer research, and product improvement.

Competitor Intelligence

Monitor competing products, brands, sellers, ratings, and market positioning.

Catalog Building

Create structured product databases for marketplaces, comparison websites, and internal analytics.

AI Applications

Use structured Amazon data in recommendation engines, product intelligence tools, AI agents, and research workflows.


Documentation


Who Is It For?

CoreClaw Amazon tools are suitable for:

  • E-commerce sellers
  • Market research teams
  • Price intelligence platforms
  • Marketing agencies
  • SaaS companies
  • Data providers
  • AI builders
  • Developers

Get Started

🌍 https://coreclaw.com

Create a free account and receive free credits to test available Amazon data tools.


Responsible Use

Use collected data responsibly and comply with applicable laws, marketplace rules, privacy requirements, and contractual obligations.


License

MIT

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⭐ Support This Project

If this tool helped you, please consider:

  1. ⭐ Star this repository β€” Click here to star
  2. πŸ“§ Share with your network β€” Help others discover this tool
  3. πŸ› Report issues β€” Open an issue if you find a bug
  4. πŸ“š Contribute β€” PRs are welcome! See CONTRIBUTING.md

πŸ‘‰ Ready to scrape more platforms?

Star History

Check out all our scrapers:

Instagram Β· Google Maps Β· Amazon Β· TikTok Β· YouTube Β· LinkedIn Β· eBay Β· Reddit Β· Apify Alternative

🀝 Contributing

Contributions are welcome! Here's how you can help:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Please read CONTRIBUTING.md for details on our code of conduct and development guidelines.

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The best Amazon scraper for extracting products, prices, reviews, sellers, search results, categories, and public e-commerce data through ready-to-use APIs.

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