How to Scrape Amazon Product Data in 2026 (Prices, Reviews & Rankings)
Amazon is the largest product dataset on the planet — and a goldmine for pricing intelligence, review mining, and competitor research. This guide shows you what you can extract and the two ways to do it: by hand, and with an API.
What you can extract
- Price (and price history, if you track it over time)
- Rating and total review count
- Reviews — text, star rating, date, verified-purchase flag
- ASIN, brand, category, and Best Sellers Rank (BSR)
- Images, bullet features, and buy-box seller
The manual way
You can open a product page and copy the fields, or write a scraper with a headless browser. It works for a handful of products, but it breaks fast at scale: Amazon rotates layouts, throws CAPTCHAs, and blocks datacenter IPs. You end up maintaining selectors and proxies instead of analyzing data.
The fast way (API)
With Scrapios you send a search term or a list of ASINs and get back clean, structured rows — price, rating, reviews, BSR — without managing browsers or proxies. Export to CSV or pull it from the API on a schedule for price tracking.
- Pick the Amazon collector.
- Enter your search (e.g. “standing desk”) or ASINs.
- Run it, then export or hit the API.
Skip the setup. Scrapios gives you ready-made collectors for this and 20+ other sources — point, run, export. Start free with 500 credits →