Amazon Real-time Scraper

Scrape Amazon products, prices, offers, sellers, bestsellers, deals, influencer storefronts and customer reviews - all from one actor. Feed it ASINs, search keywords, seller IDs, influencer usernames or raw Amazon URLs, tick the data types you want, and export clean structured rows across 8 marketplaces. Cached responses come back fast (competitors scrape live at 3+ seconds); you pay only per result, no subscription.

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What this actor does

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

• 📦 Products - search any keyword (paginated to your cap) or fetch a full product page by ASIN: title, price, list price, rating, review count, brand, variations, all images, bullet points, description, bestseller rank
• 📝 Reviews - hundreds of real customer reviews per product across all five star ratings (deduped, newest-first): rating, title, text, author, date, verified-purchase flag, Vine flag, helpful votes, country, photos
• 🏷 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)
• 🏆 Bestsellers / new releases - ranked category lists
• 🔥 Deals - lightning deals, coupons, premium-brand and Amazon-brand deals, filtered by department, discount % and Prime
• 🌟 Influencer storefronts - creator profiles and their recommended products

Flip on Fan out search results to full product detail and every search / category / seller-products result is enriched with its full product page. Flip on Also harvest reviews for every product and reviews are pulled for every ASIN you supply AND every product your searches return.

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

Input

{
  "asins": ["B0CHX1W1XY"],
  "searchQueries": ["wireless earbuds"],
  "dataTypes": ["products", "reviews"],
  "country": "us",
  "maxResultsPerType": 20,
  "includeReviews": true,
  "reviewStarFilter": "all_stars",
  "reviewSort": "recent"
}

Field	What it does
ASINs	Product IDs to pull as full detail (and reviews, if requested).
Search queries	Keyword searches, paginated to the per-type cap.
Start URLs	Paste any Amazon URL (product / search / bestseller / seller / reviews) to parse directly.
Seller IDs	Merchant IDs to pull as seller profiles (+ their catalog, optionally).
Influencer usernames	Creator storefronts to pull as profile + recommended products.
Data types	Multi-select: products, reviews, offers, sellers, bestsellers, deals, influencers (default: all).
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.
Also harvest reviews	Pull reviews for every ASIN and every searched product.
Review star filter / sort	all_stars / five_star / .../ positive / critical, recent or helpful.
Search filters	Sort, category, brand, min/max price, min rating, Prime, condition.
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 six ready-made table tabs - Overview, Products, Reviews, Offers, Sellers, Influencers - so each vertical reads as a clean spreadsheet you can sort, filter and export to CSV / Excel / JSON in one click.

A real review row:

{
  "query": "B0CHX1W1XY",
  "row_type": "review",
  "asin": "B0CHX1W1XY",
  "review_title": "Best earbuds I've owned",
  "review_text": "Battery life is excellent and the noise cancelling is...",
  "review_rating": 5,
  "review_author": "Jordan M.",
  "review_date": "March 14, 2026",
  "verified_purchase": true,
  "vine": false,
  "helpful_count": 12,
  "review_country": "us",
  "data": { "...": "full review object" }
}

Console columns include asin, title, price, rating, review_count, url for products; review_rating, review_title, review_text, review_author, verified_purchase, helpful_count for reviews; price, condition, seller_name, is_buybox for offers; and seller / influencer columns on their tabs. 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

• 7 verticals in one run - products, reviews, offers, sellers, bestsellers, deals, influencers.
• Hundreds of reviews per product - across all five star ratings, deduped and newest-first, as structured rows.
• Fast cached responses - repeat queries return in well under a second; competitors scrape live at 3+ seconds.
• 8 marketplaces - us, uk, de, fr, it, es, ca, jp.
• Every search filter - sort, brand, price, rating, Prime, condition. No internal IDs to look up.
• ASINs, keywords or URLs - search a whole catalog, fetch exact products, or paste pages. All in one actor.
• 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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