Amazon Prime Scraper

Amazon Prime Scraper turns Amazon US product searches into structured listing records localized to a US ZIP code. It captures the product title, displayed price, ASIN, product link, visible star rating, rating-count text, originating search term, search-results page, ZIP code, and collection timestamp for each result found under the Prime filter.

The resulting table is useful when commerce, sourcing, and research teams need a repeatable view of products appearing for the same search terms and location. It keeps the listing context beside each product, so analysts can trace a row back to both the search term and the search-results page instead of working from detached product names or copied prices.

Data notes

Records come from publicly visible Amazon US search listings filtered for Prime eligibility and localized with the submitted ZIP code. A row represents a product listing as it appeared in a search result at collection time, not a full product-detail record. The displayed price preserves Amazon's visible currency symbol and formatting; it does not separate shipping, tax, coupons, or other checkout adjustments. Star ratings and rating counts are also retained as display text, including phrases such as “out of 5 stars” and abbreviated counts such as “64.5K.” Availability, prices, ratings, ordering, and Prime eligibility can vary by ZIP code and can change after collection. Removed, signed-in-only, or otherwise inaccessible information is not covered.

What the results look like

Each record represents one product listing returned for a submitted keyword and ZIP code:

The output also includes “Product URL,” “Search results URL,” “ZIP code,” and “Collection time.”

Use cases

• For search assortment reviews, group records by “Search keyword” and compare “ASIN” and “Product title” to see which products appear for each term.
• For visible price research, compare “Displayed price” across similar “Product title” values while retaining “Product URL” for direct review.
• For reputation screening, use “Star rating” together with “Rating count” to separate highly rated products with substantial feedback from listings with limited rating history.
• For location-sensitive monitoring, compare repeated collections by “ZIP code” and “Collection time” to identify changes in visible products, prices, or Prime-filtered availability.