📦 Amazon Product Scraper - Prices, Reviews, Bestsellers, ASIN avatar

📦 Amazon Product Scraper - Prices, Reviews, Bestsellers, ASIN

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from $2.50 / 1,000 results

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📦 Amazon Product Scraper - Prices, Reviews, Bestsellers, ASIN

📦 Amazon Product Scraper - Prices, Reviews, Bestsellers, ASIN

Scrape Amazon products by search or URL with no API key — titles, live prices, ratings, review counts, ASIN, seller, brand, Prime status and stock across US, UK, DE, FR and more. No login, no setup. For price monitoring, dropshipping and product research. Pay only per product.

Pricing

from $2.50 / 1,000 results

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Developer

Renzo Madueno

Renzo Madueno

Maintained by Community

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30

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4

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4 days ago

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Amazon Product Scraper -- Extract Prices, Ratings, and Product Data from Amazon

Found this useful? Leave a review — it takes 30 seconds and it is the single biggest lever a solo developer has to help other devs discover this actor. I read every one and reply.

Scrape Amazon search results and product pages to extract structured product data including titles, prices, discounts, ratings, review counts, ASINs, Prime eligibility, bestseller rankings, and more. Supports 10 Amazon marketplaces worldwide, from the US to Japan.

Whether you are monitoring competitor pricing, researching product opportunities, sourcing for dropshipping, or building market intelligence dashboards, this scraper turns Amazon's catalog into a clean, exportable dataset.

What data can you extract?

FieldTypeDescription
productTitlestringFull product title as displayed on Amazon
pricestringCurrent price with currency symbol (e.g., "$278.00")
priceNumericnumberPrice as a numeric value for calculations and sorting
originalPricestringOriginal price before any discount (strikethrough price)
discountPercentstringDiscount percentage (e.g., "-30%")
currencystringISO currency code (USD, GBP, EUR, JPY, INR, CAD, AUD)
ratingnumberAverage customer star rating (1.0-5.0)
reviewCountintegerTotal number of customer reviews
asinstringAmazon Standard Identification Number (10-character unique product ID)
brandstringProduct brand name
sellerstringThird-party seller / "Sold by" merchant
availabilitystringStock status (e.g., "In Stock", "Only 3 left in stock")
isPrimebooleanWhether the product is eligible for Amazon Prime
bestSellerRankstringBestseller ranking within category
categorystringLeaf product category from Amazon's taxonomy
breadCrumbsarrayFull category breadcrumb trail
bulletPointsarrayKey product feature bullet points
variantAsinsarrayASINs of color/size variants of the product
imageUrlstringURL of the main product image
productUrlstringDirect link to the product page on Amazon
searchQuerystringOriginal search keyword used to find the product
scrapedAtstringISO 8601 timestamp of when the data was extracted

Use cases

  • Price monitoring and dynamic pricing -- Track competitor prices and discount patterns over time. Set up scheduled runs to detect price drops, new promotions, and pricing trends across your competitive landscape.
  • Product research and opportunity identification -- Discover top-selling products by keyword. Analyze review counts, ratings, and bestseller rankings to identify high-demand, underserved niches before launching new products.
  • Dropshipping and arbitrage sourcing -- Compare prices across Amazon marketplaces. Find products with favorable margins by cross-referencing pricing data from multiple Amazon domains.
  • Market analysis and category intelligence -- Build comprehensive datasets of products within a category to understand market size, average pricing, competitive density, and brand distribution.
  • Brand protection and MAP monitoring -- Monitor how your products are priced by third-party sellers on Amazon. Detect violations of minimum advertised price policies.

Input parameters

ParameterTypeRequiredDefaultDescription
searchQueriesarray of stringsNo--Search keywords to find products on Amazon (e.g., "wireless headphones", "yoga mat"). At least one of searchQueries or productUrls is required.
productUrlsarray of stringsNo--Direct Amazon product page URLs or bare ASINs (e.g., "B0BX2L8PBG") for scraping specific products.
marketplacestringNo"amazon.com"Amazon marketplace to scrape. Options: amazon.com, amazon.co.uk, amazon.de, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.co.jp, amazon.in
maxResultsPerQueryintegerNo50Maximum number of products to extract per search query (1-500)
maxConcurrencyintegerNo2Number of pages to process in parallel (1-5). Lower values are recommended to reduce CAPTCHA encounters.
enrichProductDetailsbooleanNotrueOpen each product's detail page to also fill brand, breadcrumbs, bestseller rank, bullet points, availability, seller, and variant ASINs. Turn off for fast price-only scraping from the search page.

Example output

{
"productTitle": "Sony WH-1000XM5 Wireless Noise Canceling Headphones",
"price": "$278.00",
"priceNumeric": 278.00,
"originalPrice": "$399.99",
"discountPercent": "-30%",
"currency": "USD",
"rating": 4.6,
"reviewCount": 12543,
"asin": "B0BX2L8PBG",
"brand": "Sony",
"seller": "Amazon.com",
"availability": "In Stock",
"isPrime": true,
"bestSellerRank": "#1 in Over-Ear Headphones",
"category": "Over-Ear Headphones",
"breadCrumbs": ["Electronics", "Headphones, Earbuds & Accessories", "Headphones & Earbuds", "Over-Ear Headphones"],
"bulletPoints": [
"Industry-leading noise canceling with Auto NC Optimizer",
"Exceptional sound quality with 30mm drivers",
"30-hour battery life with quick charging",
"Crystal-clear hands-free calling with 4 beamforming microphones",
"Multipoint connection for seamless switching between devices"
],
"variantAsins": ["B09XS7JWHH", "B0BX2L8PBG"],
"imageUrl": "https://m.media-amazon.com/images/I/51aXvjzcukL._AC_SL1200_.jpg",
"productUrl": "https://www.amazon.com/dp/B0BX2L8PBG",
"searchQuery": "wireless headphones",
"scrapedAt": "2026-03-01T12:00:00.000Z"
}

How much does it cost?

This actor uses a pay-per-result pricing model:

  • $0.0025 per product ($2.50 per 1,000 products)
  • A typical search extracting 50 products costs approximately $0.13
  • Scraping 500 products costs approximately $1.25
  • Scraping 10,000 products across multiple queries costs approximately $25.00

Residential proxies and anti-bot handling are included. There are no monthly fees or commitments.

Tips and tricks

  • Use ASINs for pinpoint accuracy when you already know which products you need. Paste bare ASINs (e.g., "B0BX2L8PBG") directly into the productUrls field. The scraper will convert them into full product page URLs automatically. This is faster and more reliable than search-based extraction.
  • Amazon search results typically return 300-400 products per keyword. If you need broader coverage, use multiple specific search terms rather than one broad keyword. For example, "Bluetooth headphones under $50" and "noise cancelling headphones Sony" will yield different, complementary results.
  • Keep concurrency at 1-2 for the most stable results. Amazon has aggressive anti-bot protections. The scraper uses residential proxies and handles CAPTCHAs with automatic retries, but lower concurrency reduces the frequency of these challenges.
  • Full detail extraction is on by default. Every product found in search is opened on its own detail page to fill brand, breadcrumbs, bestseller rank, bullet points, availability, seller, and variant ASINs — no second pass needed. If you only need price/rating/ASIN and want the fastest, cheapest run, set enrichProductDetails to false to scrape from the search page alone.

Found this useful?

If this scraper saved you time, please consider leaving a quick review on the Reviews tab above. Reviews help small developers like me get visibility on the Apify Store, and your feedback is genuinely valuable for improving the actor. Thanks!

  • SaaS Pricing Tracker -- Track pricing data for SaaS products alongside Amazon product pricing for comprehensive market intelligence.
  • Trustpilot Reviews Scraper -- Supplement Amazon product data with seller reputation data from Trustpilot for vendor evaluation and brand research.

While you're here — got a Supabase project?

I also build open-source security auditors for backend platforms. If your stack uses Supabase, PocketBase, Appwrite, Nhost, or Firebase, your project might be leaking data anonymously — 22% of random projects I scanned were (RLS disabled, public buckets, SECURITY DEFINER funcs callable by anon).

If you're not on Supabase, ignore this :)