How to Use Amazon Product Scraper to Extract Data (2026 Guide)

What is Amazon Product Scraper?

Extract product details, prices, reviews, and seller information from Amazon worldwide for e-commerce analytics.

The Amazon Product Scraper is an enterprise-grade extraction tool designed for e-commerce businesses, dropshippers, and market analysts. It bypasses Amazon's strict CAPTCHAs and anti-bot systems to reliably scrape product data from any Amazon domain globally (e.g., .com, .co.uk, .de). You can extract thousands of products via search queries, specific ASINs, or category URLs. The scraper retrieves rich, structured data including pricing strategies, discounts, exact product variations (size/color), detailed customer reviews (with star ratings), Best Sellers Rank (BSR), and specific seller information. This data is critical for monitoring competitor pricing, conducting product research, optimizing your own Amazon listings, or building affiliate review sites.

Key Features

• Scrape by ASIN, search query, or category URL
• Supports all global Amazon domains (.com, .in, .co.uk, etc.)
• Extract complex product variations (size, color, style)
• Download detailed customer reviews and ratings
• Get rich media (high-resolution product images)
• Extract Best Sellers Rank (BSR) and specific categories
• Bypasses Amazon CAPTCHAs automatically with stealth mode

How to Extract Data (Step by Step)

Extracting data using the Amazon Product Scraper is incredibly straightforward. It runs entirely in the cloud, meaning you don't need to install any desktop software.

1. Click the 'Try for Free' button to access the Amazon Scraper on Apify.
2. Log into your Apify account.
3. Choose your input method: enter specific ASINs, paste a category URL, or type a search query (e.g., 'wireless headphones').
4. Select the target Amazon marketplace (e.g., amazon.com or amazon.co.uk).
5. Click 'Start'. The actors will handle CAPTCHAs and extract the data.
6. Download your pristine product dataset in Excel or JSON.

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What does the exported data look like?

You can export the results into Excel, CSV, JSON, or HTML. Here is a sample of what the raw JSON data looks like:

{
  "asin": "B0C1J2K3L4",
  "url": "https://www.amazon.com/dp/B0C1J2K3L4",
  "title": "Sony WH-1000XM5 Wireless Noise Canceling Headphones",
  "brand": "Sony",
  "price": {
    "value": 348.00,
    "currency": "USD"
  },
  "originalPrice": {
    "value": 399.99,
    "currency": "USD"
  },
  "rating": 4.6,
  "reviewsCount": 12450,
  "availability": "In Stock",
  "buyBoxWinner": "Amazon.com",
  "bestSellersRank": [
    {
      "category": "Over-Ear Headphones",
      "rank": 3
    }
  ],
  "features": [
    "Industry Leading noise cancellation",
    "Up to 30-hour battery life"
  ],
  "thumbnailUrl": "https://m.media-amazon.com/images/I/41J...jpg"
}