Can you recommend an Amazon scraper for tracking product reviews?

If you mean a reliable way to track Amazon product reviews over time, I’d recommend looking at review monitoring APIs or scraping frameworks with proxy support rather than a basic “Amazon scraper” script. Amazon is aggressive about blocking scraping, so the best choice depends on whether you want no-code, Python, or managed API.

Good options

1. Apify Amazon Scraper

• Best for: quick setup, no-code/low-code
• Can extract product details and reviews depending on the actor/workflow
• Has scheduling and export options
• Good if you want to monitor changes without building infrastructure

2. Zyte API

• Best for: scalable scraping with anti-bot handling
• Strong proxy/anti-blocking infrastructure
• More of a scraping platform than a ready-made “review tracker”
• Good if you want reliability and are okay integrating via code

3. Bright Data Web Scraper / Amazon solutions

• Best for: enterprise-grade scraping at scale
• Very strong on blocking resistance
• More expensive, but useful for ongoing review collection

4. Scrapy + Playwright (custom build)

• Best for: full control and lower cost if you can code
• Scrapy for crawling, Playwright for dynamic content
• Needs proxies, retries, and rate limiting
• Good if you want to build your own tracker pipeline

5. Oxylabs Amazon Scraper API

• Best for: managed extraction with less maintenance
• Handles a lot of scraping complexity for you
• Good for review monitoring and product data extraction

My practical recommendation

• If you want the easiest path: Apify
• If you want the most reliable managed option: Bright Data or Oxylabs
• If you want to build your own system: Scrapy + Playwright

Important note

Amazon’s terms may restrict scraping, so if this is for a business use case, it’s worth reviewing compliance and considering whether you can use approved data sources.

If you want, I can also recommend:

1. a Python library/setup,
2. a no-code tool, or
3. a full architecture for tracking Amazon reviews over time.