Amazon Product Data Scraper(Search & Product Pages)

What Is Amazon Product Data Scraper?

Amazon has hundreds of millions of products, with prices changing daily or even hourly. Manually opening product detail pages one by one to track competitor prices, BSR rankings, and review counts is impossible to keep up with market pace. The Amazon Product Data Scraper solves exactly this problem: enter a search keyword or product link, and the tool automatically extracts product titles, prices, discounts, ratings, BSR rankings, seller info, and product features in bulk—completing in minutes what would take days manually.

Supports collection via search results pages and product detail pages, covers all dimensions including price, rating, category ranking, seller info, and shipping policies, exports to Excel, requires zero coding knowledge—works out of the box.

What Fields Can You Extract?

Basic Product Info

Price & Promotions

Ratings & Rankings

Product Details

Seller & Shipping

System Fields

Who Is This Tool For?

1. Cross-border E-commerce Product Researchers — Validate with Data, Not Gut Feelings

Before deciding to stock a product, you need to assess competition level and market demand—but manually checking BSR, review counts, and seller numbers for dozens of candidate ASINs is extremely time-consuming. The tool supports batch input of product links, collecting BSR rankings, review counts, category paths, and price ranges for all candidates at once. Quickly filter for products with moderate competition and stable demand. Compare against entry criteria (e.g., BSR top 5000, under 500 reviews) and make decisions—product research efficiency dramatically improved.

2. Amazon Seller Competitor Price Monitoring — Respond to Price Changes, Protect Buy Box

83% of Amazon sales go through Buy Box, and Buy Box ownership depends heavily on real-time price competitiveness. Competitors may silently adjust prices at any time—manually refreshing pages won't catch it in time. Run scraping tasks regularly to continuously monitor target ASINs' prices, discount labels, and stock status. Catch competitor price drops or stock-outs immediately, always stay one step ahead on pricing strategy.

3. Brand Owners — Detect Unauthorized Sellers, Protect Pricing Structure

Once unauthorized sellers undercut prices, authorized channel margins and brand image suffer—but checking seller identity across thousands of Amazon product pages is impossible. Batch scrape seller info for specified ASINs, compare results against authorized list, quickly identify unauthorized sellers and take action. Transform brand monitoring from reactive to proactive.

4. E-commerce Operations Teams — Track BSR Trends, Optimize Listings & Ads

Best Seller Rank is a lagging indicator of category sales—only continuous tracking reveals trends; a single snapshot is meaningless. Run scheduled collection tasks, record BSR history for your products and competitors, analyze sales trends combined with review growth and price fluctuations. Time ad campaigns and restocking with data backing—not experience estimates.

5. Data Providers & Price Comparison Developers — Batch Collect Structured Product Data

Building price comparison engines, market analysis reports, or product databases requires structured Amazon data at scale. The tool provides clean, normalized fields across all major product dimensions, ready for database import or API integration. Skip the parsing and cleaning—start with analysis immediately.

How Does It Work?

Method 1: Search by Keyword

Enter a search keyword (e.g., "wireless headphones"), optionally set max pages or max results. The tool scans search results pages and extracts all products.

Method 2: Direct Product URLs

Input one or multiple Amazon product URLs (ASIN links). The tool visits each product detail page and extracts complete information.

Input Example

{
  "search_terms": "wireless headphones",
  "max_results": 100,
  "include_features": true,
  "include_seller_info": true
}

Or with direct URLs:

{
  "url": [
    "https://www.amazon.com/dp/B0863G8ZP6",
    "https://www.amazon.com/dp/B0959CY5BH"
  ]
}

Output Example

{
  "asin": "B0863G8ZP6",
  "product_title": "Sony WH-1000XM4 Wireless Noise Canceling Headphones",
  "brand": "Sony",
  "price": "$348.00",
  "currency": "$",
  "rating": "4.6 out of 5 stars",
  "review_count": "15,234 ratings",
  "best_seller_rank": "#7 in Electronics",
  "category": "Electronics > Headphones > Over-Ear",
  "availability": "In Stock",
  "seller_information": "Amazon.com",
  "shipping_information": "FREE delivery Thu, Jan 15",
  "key_features": [
    "Industry-leading noise cancellation",
    "Up to 30 hours battery life",
    "Multipoint connection"
  ],
  "success": true,
  "scraped_at": "2024-01-10T08:30:00Z"
}

Input Parameters

FAQ

What Amazon marketplaces are supported?

All Amazon marketplaces worldwide (US, UK, DE, JP, etc.). Just use the corresponding domain URL.

Can I scrape sponsored products?

Yes. The is_banner_product field identifies sponsored placements in search results.

How do I track price changes over time?

Run the tool on a schedule (daily, hourly) and compare results. Each run includes a scraped_at timestamp for tracking.

Does it handle product variants?

Yes. Product variants (size, color) are captured in the product_details array.

What if a product page fails?

The tool returns success: false with error and error_code fields for failed rows, so you can identify and retry specific products.

Can I filter by rating or price?

After collection, filter the exported data by any field—rating, price, BSR, etc.—in Excel or your analysis tool.

Is this legal?

The tool collects publicly available product information from Amazon. Always comply with Amazon's Terms of Service and robots.txt when using the data.