Amazon Scraper

Extract Amazon product data into structured spreadsheets without code

DataLens lets you pull Amazon product listings — ASINs, titles, prices, ratings, review counts, and deals — into clean CSV or Excel files from search results and category pages. No Python scripts, no API tokens, no maintenance.

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Full product fields in one click

Capture ASINs, product titles, current prices, badges, ratings, review counts, and deal labels from Amazon search results and category pages.

Price monitoring made simple

Re-run the same extraction regularly to track competitor prices, deal frequency, and bestseller rank changes over time.

Works on search results and category pages

Extract from keyword search pages, Today's Deals, sponsored listings, and any paginated Amazon product grid.

Real-world use cases

A private label seller researching a new product category extracts the first three pages of search results for their target keyword to analyze review count distribution, price range, and Best Seller holders — building a competitive landscape snapshot in minutes instead of hours.

A category manager exports competitor product listings weekly to track price changes, detect new market entrants, and monitor promotional patterns — turning Amazon search pages into an automated competitive pricing feed.

A digital advertising team pulls ASIN lists and product titles from target category pages to build negative keyword lists and product targeting segments for Amazon Sponsored Products campaigns.

How it works

1
Open an Amazon search results page or category page in Chrome. Run a keyword search for your target product category — for example, "memory foam pillows" or "USB-C hubs" — and let the product grid finish loading before proceeding.
2
Open DataLens from the Chrome toolbar. The AI detects the repeating product card structure and maps visible fields — title, ASIN, current price, original price, star rating, review count, and badge labels — to extraction columns. Review the column preview to confirm the fields look correct.
3
Navigate to additional pages to collect more products, then click Export when you have the volume you need. Choose CSV, Excel (XLSX), or JSON — the file downloads immediately and is ready to open in Excel, Google Sheets, or any analysis tool.

Frequently asked questions

These are the most common questions teams ask before using DataLens for this workflow.

What Amazon data can DataLens extract?

You can extract product titles, ASINs, current prices, original/typical prices, star ratings, review counts, purchase counts, Best Seller and Amazon's Choice badges, coupon labels, and delivery information from Amazon search results and category pages. Review pages yield reviewer names, ratings, verified purchase status, and full review text.

Can I scrape Amazon product reviews?

Yes. Navigate to the review page for any Amazon product, open DataLens, and it will detect the review list structure. You can extract reviewer names, star ratings, verified purchase badges, review titles, and full review text — across multiple review pages if needed.

Does it work on paginated Amazon results?

Yes. DataLens collects the products visible on each page you navigate to. Simply move through pages 1, 2, 3 and DataLens accumulates the records across all visited pages before you export — no special configuration needed.

Can I export Amazon data to Excel or CSV?

Yes. Export your extracted Amazon product data as CSV, Excel (XLSX), or JSON with a single click. The download is formatted with column headers and ready to open in Excel, Google Sheets, or import into any reporting or analysis pipeline.

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