🛒 Amazon Product Scraper · Amazon Listings Scraper

Extract Amazon products and listings by keyword across 12 marketplaces. Fast, accurate, and ready to run — no setup needed.

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✨ At a glance

🌍 Marketplaces	12 — US, UK, DE, FR, IT, ES, CA, MX, BR, IN, JP, AU
⚡ Speed	Results in under a minute for most runs
📦 Output	One clean row per Amazon product — ASIN, price, rating, reviews, Prime, sponsored flag, and more
🚀 Scale	Up to 10,000 unique products per keyword, 1,000 keywords per run

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📑 Table of contents

• 🛒 What does it do?
• 👥 Who it's for
• 💡 Use cases
• 🚀 How to use it
• ⚙️ Input
• 📦 Output
• 📊 Data table
• 💡 Tips
• ❓ FAQ, disclaimers, and support

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🛒 What does Amazon Product Scraper do?

This Amazon listings scraper pulls product listings from Amazon search pages for one or more keywords across all 12 major Amazon marketplaces. For each keyword it goes through Amazon's search pages and returns one row per product — a clean Amazon product dataset with ASIN, title, price, rating, review count, Prime badge, sponsored flag, thumbnail, brand, and 20+ more fields.

It's built to bypass Amazon's bot detection automatically, so you don't have to wrestle with proxies, captchas, or browser setup. Just paste your keywords, hit start, and get your data.

Try it with three sample keywords ("wireless earbuds", "bluetooth headphones", "noise cancelling earbuds") in the Input tab — you'll see a clean Amazon product dataset within a minute.

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👥 Who it's for

Built for anyone who works with Amazon listings and product data.

• 🛒 Amazon FBA sellers — track your ASIN's organic position, watch competitor pricing, and spot listing-rank changes week over week.
• 🏪 E-commerce resellers & dropshippers — find winning products, compare supplier pricing, and monitor availability across marketplaces.
• 📊 Market & product researchers — generate bulk product datasets for trend analysis, category sizing, and assortment comparison.
• 💼 Procurement & sourcing teams — discover candidate products, evaluate review velocity, and shortlist private-label opportunities.
• 📈 Price monitoring services — batch thousands of keywords into one run and feed structured price + discount data into your tracking pipeline.
• 🎯 Amazon agencies & consultants — produce client-ready reports on keyword ranking, sponsored share, and competitor moves.

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💡 Use cases

Seven battle-tested workflows for sellers, analysts, and operators.

📦 Scrape Amazon listings at scale

Pull hundreds of product cards per keyword and up to 10,000 unique ASINs per keyword in a single run.

🔎 Bulk product discovery

Build seed product lists for catalog enrichment, review scraping, variant extraction, or supplier sourcing.

🏷️ Keyword research for Amazon listings

See exactly which products rank for your target keyword, their pricing tiers, and review velocity.

🆚 Competitor analysis

Track competing ASINs across price, rating, review count, and "bought in past month" signals.

💹 Price monitoring at scale

Batch hundreds of keywords into one run and pull structured prices and discount percentages in a single dataset.

🌐 Multi-marketplace expansion

Compare product assortments, pricing, and ratings across Amazon.com, Amazon.de, Amazon.co.jp, and 9 more storefronts.

🎯 Sponsored vs. organic analysis

isSponsored and organicRank fields let you separate paid placements from real organic winners.

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🚀 How to use Amazon Product Scraper

Five steps from input to downloadable dataset.

1. 📝 Open the Input tab and paste one or more keywords into the Search keywords field (1–1,000 keywords per run).
2. 🌍 Pick an Amazon domain — amazon.com (US) is the default. Switch to co.uk, de, jp, etc. for other storefronts.
3. 🎯 Set Maximum products per keyword (default 100) — the scraper stops each keyword once that many unique products are collected.
4. ▶️ Click Start and wait. A 100-product run finishes in under a minute.
5. ⬇️ Download results from the Output tab — CSV, JSON, Excel, or HTML. Use the Products table for a quick scan, Full data for everything.

🤖 Want to automate it? Use the API tab to trigger runs from your own scripts, or schedule hourly/daily keyword-tracking jobs from the Schedules tab.

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⚙️ Input

Three fields. That's it. Everything else is handled for you.

Parameter	Type	Required	Default	Description
📝 keywords	array of strings	✅ Yes	—	One or more keywords to search on Amazon (1–1,000 per run).
🌍 domain	enum	❌ No	com	Which Amazon storefront: com, co.uk, de, fr, it, es, ca, com.mx, com.br, in, jp, com.au.
🎯 maxResults	integer	❌ No	100	Stop each keyword once this many unique products (by ASIN) are collected.

💡 The Amazon region is auto-selected from domain. amazon.com → US · amazon.de → DE · amazon.co.jp → JP, and so on — so you always get a real local view of that storefront.

📝 Example input

{
  "keywords": ["wireless earbuds", "bluetooth headphones", "noise cancelling earbuds"],
  "domain": "com",
  "maxResults": 100
}

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📦 Output

Every product is pushed as one row to the default dataset. Fields follow the Apify Amazon-search market standard — they line up with the leading Amazon scrapers on the platform, so existing pipelines keep working.

📄 Example row

{
  "asin": "B0BSHF7WHW",
  "title": "Apple AirPods Pro (2nd Gen)",
  "url": "https://www.amazon.com/dp/B0BSHF7WHW",
  "thumbnail": "https://m.media-amazon.com/images/I/71zny78BxWL._AC_UX200_.jpg",
  "price": 199.99,
  "priceText": "$199.99",
  "listPrice": 249.0,
  "listPriceText": "$249.00",
  "discountPercent": 20,
  "currency": "USD",
  "rating": 4.6,
  "ratingText": "4.6 out of 5 stars",
  "reviewCount": 89412,
  "reviewCountText": "89,412",
  "isPrime": true,
  "isSponsored": false,
  "badgeText": "Amazon's Choice",
  "boughtInPastMonth": "10K+ bought in past month",
  "boughtInPastMonthValue": 10000,
  "deliveryText": "Get it by Tomorrow, July 26",
  "couponText": null,
  "availabilityText": "In Stock",
  "brand": "Apple",
  "marketplace": "com",
  "searchQuery": "wireless earbuds",
  "searchUrl": "https://www.amazon.com/s?k=wireless+earbuds&page=1",
  "sourceType": "keyword",
  "page": 1,
  "positionOnPage": 3,
  "organicRank": 2,
  "globalPosition": 3,
  "scrapedAt": "2026-07-25T10:30:00.000Z"
}

⬇️ You can download the dataset in JSON, CSV, Excel, or HTML from the Output tab. For large runs, use the API tab to fetch paginated items programmatically.

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📊 Data table

Every field the scraper emits, grouped by purpose so you can scan what you need.

🆔 Identity

Field	Type	Description
asin	string	Amazon Standard Identification Number (10 alphanumeric chars). Unique key.
title	string	Product title as displayed in the search result card.
url	string	Canonical Amazon product URL (/dp/<ASIN>).
thumbnail	string	Product thumbnail image URL.
brand	string	Brand name extracted from the card when Amazon shows it.
marketplace	string	Amazon domain code (com, co.uk, de, jp, …).

💰 Price

Field	Type	Description
price	number	Numeric current price in currency. Raw locale string preserved as priceText.
listPrice	number	Strike-through "was" price. Empty when Amazon doesn't show a discount.
discountPercent	number	Calculated as round((1 - price / listPrice) × 100). Empty if either is missing.
currency	string	Currency code (USD, GBP, EUR, JPY, INR, …).
couponText	string	Visible coupon / savings text. Empty when no coupon is shown.

⭐ Reviews & rating

Field	Type	Description
rating	number	Numeric rating 0.0–5.0. Raw text preserved as ratingText.
reviewCount	integer	Parsed integer review count. Raw text preserved as reviewCountText.
boughtInPastMonthValue	integer	Parsed threshold from "10K+ bought in past month" → 10000. Empty when absent.

🏷️ Listing signals

Field	Type	Description
isPrime	boolean	Whether the listing shows the Prime badge.
isSponsored	boolean	Whether the card is a sponsored (paid) placement.
badgeText	string	SERP badge label (e.g. "Best Seller", "Amazon's Choice", "Climate Pledge Friendly").
deliveryText	string	Delivery promise string ("Get it by Tomorrow, July 26").
availabilityText	string	Stock / availability string ("In Stock", "Only 3 left", …).

🔍 Provenance & ranking

Field	Type	Description
searchQuery	string	The keyword that produced this row.
searchUrl	string	The exact Amazon SERP URL the row was scraped from.
sourceType	string	How the row was sourced. Always "keyword" for this scraper.
page	integer	Result page number (1-based).
positionOnPage	integer	1-based position on this page, counting sponsored + organic.
organicRank	integer	Position among organic (non-sponsored) ASINs across all pages. Empty for sponsored cards.
globalPosition	integer	1-based position across all unique ASINs for this keyword across all pages.
scrapedAt	string	ISO 8601 UTC timestamp of when the keyword was scraped.

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💡 Tips

Workflow patterns from production users.

• 📦 Batch your keywords. One run with 50 keywords is much faster than 50 separate runs — and you get all the results in a single dataset.
• 🎯 Track a specific ASIN. Even though the input is keywords, you can pull a single product's current search-page context by searching its exact brand + model — globalPosition makes it easy to see ranking drift over time.
• 🎯 Separate organic vs. paid winners. Filter the dataset on isSponsored=false to see real organic ranking for a keyword, then sort by organicRank to identify the top organic winners vs. paid placements.
• 💸 Use discountPercent for deal hunting. A keyword where most top results show discountPercent >= 30 is a competitive, high-velocity niche — useful for sourcing or private-label research.
• 🌐 Compare marketplaces. Run the same keyword against domain=com and domain=de to see how pricing, assortment, and review counts differ.
• ⏰ Schedule hourly tracking. Combine with the Schedules tab to monitor a fixed keyword list daily — each row carries scrapedAt, so you can chart ranking and price drift over time.

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❓ FAQ, disclaimers, and support

Tap a question to read the answer.

⚖️ Is this legal?

Scraping publicly visible Amazon search results is a common, lawful practice used by sellers, analysts, and researchers. You are responsible for complying with Amazon's Terms of Service and any applicable laws in your jurisdiction. Don't republish raw Amazon content at scale; use the data for analysis, internal tools, and product research.

🌍 Which Amazon marketplaces are supported?

All 12 — the region auto-matches the domain.

amazon.com (US) · amazon.co.uk (UK) · amazon.de (DE) · amazon.fr (FR) · amazon.it (IT) · amazon.es (ES) · amazon.ca (CA) · amazon.com.mx (MX) · amazon.com.br (BR) · amazon.in (IN) · amazon.co.jp (JP) · amazon.com.au (AU)

🎯 What's the difference between positionOnPage, organicRank, and globalPosition?

Field	Meaning
positionOnPage	1-based position on this specific search results page, counting sponsored + organic.
organicRank	Position among non-sponsored ASINs across all paginated rows. Empty for sponsored cards.
globalPosition	1-based position across all unique ASINs across all pages for this keyword.

🔁 Why do I see duplicate ASINs in the raw output?

You shouldn't — the scraper de-duplicates by ASIN across all pages for a given keyword. If you see duplicates, you've likely joined two keywords' datasets downstream; searchQuery is the join key. A summary record reports the within-keyword duplicates the scraper filtered out.

🚫 Can I get more than 10,000 products per keyword?

No — maxResults is capped at 10,000. For bulk catalog scraping (millions of ASINs per category), use a dedicated category-browser scraper instead.

🧩 What's the keyword legacy field?

It's an alias for searchQuery. The scraper emits both for backward compatibility with older pipelines; new code should use searchQuery.

💬 Custom solutions or integration help?

📬 Open an issue on the Apify console Issues tab for this scraper, or contact Apify support through the platform. The scraper is actively maintained and field-aligned with the leading Amazon search scrapers on the marketplace.