Amazon Product Scraper

Get live Amazon product, price, offers, bestseller and deal data in clean JSON. Feed it ASINs, search keywords, seller IDs, category node IDs or paste Amazon URLs, pick your data types, and export ready-to-use structured rows. Eleven search filters, eight marketplaces, full per-seller offer breakdowns and merchant profiles. No subscription, pay only per result.

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What this actor does

Feed it any mix of search keywords, ASINs, seller IDs, category node IDs, or Amazon URLs, tick the data types you want, and it pulls up to seven product-side verticals in one run:

• 🔎 Products (search + category) - search any keyword (paginated to your cap) or browse a category node: title, price, list price, rating, review count, brand, image, Prime badge, URL
• 📦 Product detail (by ASIN) - the full product page: specs, variations, all images, bullet points, description, bestseller rank (everything in the data payload)
• 🏷 Offers - every seller offer for an ASIN: price, condition, seller, seller rating, Buy Box flag, ships-from, delivery
• 🏪 Sellers - merchant profiles: rating, rating count, positive-feedback %, business name and address, ships-from (plus the full feedback breakdown in the data payload), optionally their whole catalog
• 🏆 Bestsellers - ranked category lists
• 🆕 New releases - the newest products by category
• 🔥 Deals - lightning deals, coupons, premium-brand and Amazon-brand deals, filtered by department, discount % and Prime

Flip on Fan out search results to full product detail and every search / category / seller-products result is enriched with its full product page.

Already have specific pages? Paste them into Start URLs - a product, search, bestseller, new-releases, seller or offer-listing URL is auto-detected and parsed directly.

Eleven search filters are built in: sort order, restrict-to-category, brand, min price, max price, minimum rating, Prime-only, item condition, discount filter, plus the deals department / discount / Prime filters. No internal IDs to look up - search a keyword like a human and the filters do the rest.

Input

{
  "searchQueries": ["wireless earbuds"],
  "asins": ["B0CHX1W1XY"],
  "dataTypes": ["search", "product"],
  "country": "us",
  "maxResultsPerType": 20,
  "sortBy": "PRICE_LOW_TO_HIGH",
  "minPrice": 20,
  "maxPrice": 200,
  "isPrime": true,
  "includeProductDetails": false
}

Field	What it does
Search queries	Keyword searches, paginated to the per-type cap.
ASINs	Product IDs to pull as full detail (and offers, if requested).
Seller IDs	Merchant IDs to pull as seller profiles (+ their catalog, optionally).
Category node IDs	Numeric category nodes to browse page by page.
Start URLs	Paste any Amazon URL (product / search / bestseller / seller / offers) to parse directly.
Data types	Multi-select: search, product, offers, sellers, bestsellers, newReleases, deals (default: search + product).
Country	Amazon marketplace: us, uk, de, fr, it, es, ca, jp.
Max results per type	Cap per vertical / input item. Search paginates Amazon to reach it.
Fan out to product detail	Enrich every listing result with its full product page. Extra charge per detail.
Search filters	Sort, restrict-to-category, brand, min/max price, min rating, Prime, condition, discount filter.
Deals filters	Deal type, department, minimum discount %, Prime-exclusive.

Output

One flat row per result, discriminated by row_type, with the full payload under data. The dataset ships with four ready-made table tabs - Overview, Products, Offers, Sellers - so each vertical reads as a clean spreadsheet you can sort, filter and export to CSV / Excel / JSON in one click.

A real search-result row:

{
  "query": "wireless earbuds",
  "row_type": "search_result",
  "asin": "B0CHX1W1XY",
  "title": "Wireless Earbuds Bluetooth 5.3 Headphones",
  "price": "39.99 USD",
  "original_price": "59.99 USD",
  "rating": 4.4,
  "review_count": 12834,
  "brand": "Acme",
  "is_prime": true,
  "url": "https://www.amazon.com/dp/B0CHX1W1XY",
  "image_url": "https://m.media-amazon.com/images/I/61abc.jpg",
  "country": "us",
  "seller_id": null,
  "rank": null,
  "discount_percent": 33,
  "data": { "...": "full listing object" }
}

Console columns include asin, title, price, original_price, rating, review_count, is_prime, url for products; price, condition, seller_name, seller_rating, is_buybox, ships_from, delivery_info for offers; and seller_id, seller_name, rating, rating_count, positive_feedback_pct, business_name, business_address on the Sellers tab. Error rows carry an error_code and are free - you only pay for real results.

A run-summary record (OUTPUT key) reports per-vertical counts and the estimated cost. Live per-event pricing is shown on this actor's Apify Store page.

Why this actor

• Product, offers, sellers and deals in one run - search, product detail, offers, seller profiles, bestsellers, new releases, deals.
• 8 marketplaces - us, uk, de, fr, it, es, ca, jp.
• Eleven search filters - sort, brand, price, rating, Prime, condition, discount. No internal IDs to look up.
• Keywords, ASINs, category nodes or URLs - search a whole catalog, fetch exact products, browse a department, or paste pages. All in one actor.
• Full offer + seller intelligence - every seller offer for an ASIN, full merchant profiles with feedback breakdowns.
• Clean per-vertical tabs - export-ready tables, not a wall of mixed columns.
• You only pay for results - errors and your own misconfigurations are never charged.

Need help? Enterprise plans? Custom scraping?

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