Amazon Product Scraper – Extract Product Data, Prices & Reviews from Amazon

What Is the Amazon Product Scraper?

The Amazon Product Scraper by MyDataScraper is a powerful, cloud-based data extraction tool that automatically collects product information from any Amazon product page, search result, or category listing. It works across all 16 Amazon global marketplaces — including Amazon.com (US), Amazon.co.uk (UK), Amazon.in (India), Amazon.de (Germany), and more.

Unlike manual copy-pasting or outdated browser extensions, our scraper runs entirely on the cloud, handles thousands of product pages simultaneously, and delivers clean, structured data in your preferred format — all without triggering Amazon’s anti-bot systems.

Why Businesses Choose Our Amazon Scraper

Data is the competitive edge that separates successful e-commerce businesses from the ones that guess. Here’s what makes our Amazon scraper the go-to choice for over 12,500 businesses worldwide:

• Zero setup complexity: No proxies to configure, no code to write, no browser extensions to install. Just paste your URLs and click start.
• Bulletproof reliability: Our proprietary anti-blocking engine handles proxy rotation, CAPTCHA solving, and browser fingerprint randomization automatically — giving you a 99.5% success rate.
• Real-time accuracy: Every data point is freshly extracted at the time of your scrape — no cached or stale data.
• Flexible scheduling: Run once, or set up automated daily, weekly, or custom interval jobs that deliver data straight to your inbox, cloud storage, or API endpoint.
• Scale without limits: From 10 products to 10 million — our cloud infrastructure scales automatically to match your data needs.

Who Uses the Amazon Product Scraper?

Our Amazon scraper is trusted by professionals across every industry that relies on e-commerce intelligence:

E-Commerce Sellers & Retailers

Monitor competitor prices in real time and adjust your own pricing strategy dynamically. Track new product launches, inventory levels, and promotional strategies of competing brands. Our scraper is the backbone of many automated repricing systems used by Amazon FBA sellers worldwide.

Market Research Analysts

Build comprehensive datasets covering product categories, demand indicators, pricing trends, and consumer sentiment. Use Best Seller Rank (BSR) data to track product demand shifts. Analyze review data at scale to understand exactly what customers love — and hate — about products in any niche.

Dropshippers & Private Label Sellers

Identify winning product opportunities before competitors do. Validate product ideas using real Amazon data — review counts, BSR, pricing gaps, and seller competition levels. Find reliable suppliers by analyzing brand and seller information across thousands of listings.

Brand Protection Teams

Automatically monitor your brand’s presence across Amazon marketplaces. Detect unauthorized third-party sellers violating your MAP (Minimum Advertised Price) policy. Track counterfeit products and unauthorized ASINs that damage your brand reputation.

Data Scientists & ML Engineers

Generate large-scale, labeled datasets for machine learning applications — price prediction models, demand forecasting algorithms, NLP sentiment analysis on reviews, and recommendation system training data. Our structured JSON output integrates seamlessly into Python and R data pipelines.

Marketing Agencies

Deliver data-backed competitive intelligence reports to clients. Monitor market positioning, track share-of-voice across product categories, and demonstrate tangible ROI through data-driven campaign insights.

Complete List of Data Points Extracted

Our Amazon Product Scraper extracts 29 data points from every product page — giving you the most comprehensive product dataset available:

Pricing & Availability

• Current selling price (real-time)
• Original / list price (before discounts)
• Discount amount (absolute value)
• Discount percentage
• Active coupon details
• Subscribe & Save discount percentage
• Lightning Deal status & end time
• Availability status (In Stock / Out of Stock / Limited)
• Prime eligibility status

Product Identification

• Product title (full)
• ASIN (Amazon Standard Identification Number)
• Manufacturer Part Number (MPN)
• Item Model Number
• Brand name
• Product URL (canonical)
• Date first available on Amazon
• Country of origin

Reviews & Ratings

• Average rating (1–5 stars, decimal precision)
• Total review count
• Global ratings count
• Star distribution (5★, 4★, 3★, 2★, 1★ — percentage breakdown)

Seller & Fulfillment

• Seller name
• Seller ID
• Fulfillment type (FBA / FBM / Amazon)
• Number of sellers offering this product

Product Details

• Full product description
• Bullet points / feature highlights
• Product category & full subcategory path
• Best Seller Rank (main category + up to 3 sub-categories)
• Number of variations available
• Variation details (color, size, style, material)
• Product dimensions (L × W × H)
• Product weight
• Shipping weight
• All image URLs (main + all alternate images, full resolution)

Supported Amazon Marketplaces

Our scraper works seamlessly across every Amazon marketplace worldwide. You can scrape multiple marketplaces in a single job and get data delivered in one unified dataset:

Output Data Sample — What You Actually Receive

Here is a real example of what a scraped Amazon product record looks like in JSON format:

{
  "scrape_timestamp": "2024-12-15T10:32:47Z",
  "marketplace": "amazon.com",
  "product_url": "https://amazon.com/dp/B0D1XD1ZV3",
  "asin": "B0D1XD1ZV3",
  "product_title": "Apple AirPods Pro (2nd Generation) Wireless Earbuds, 
                    Up to 2X More Active Noise Cancelling",
  "brand": "Apple",
  "current_price": 189.99,
  "original_price": 249.00,
  "discount_amount": 59.01,
  "discount_percentage": 23.7,
  "currency": "USD",
  "prime_eligible": true,
  "availability": "In Stock",
  "fulfillment": "Fulfilled by Amazon",
  "seller_name": "Amazon.com",
  "seller_id": "ATVPDKIKX0DER",
  "rating": 4.7,
  "total_reviews": 125847,
  "global_ratings": 142300,
  "star_distribution": {
    "5_star": 72,
    "4_star": 14,
    "3_star": 6,
    "2_star": 3,
    "1_star": 5
  },
  "best_seller_rank": [
    { "category": "Electronics", "rank": 1 },
    { "category": "Earbud Headphones", "rank": 1 },
    { "category": "In-Ear Monitors", "rank": 3 }
  ],
  "category_path": "Electronics > Headphones > Earbud Headphones",
  "model_number": "MTJV3LL/A",
  "mpn": "MTJV3LL/A",
  "country_of_origin": "China",
  "date_first_available": "2022-09-07",
  "dimensions": {
    "length_inches": 1.78,
    "width_inches": 1.42,
    "height_inches": 0.94
  },
  "weight_pounds": 0.123,
  "shipping_weight_pounds": 0.441,
  "variations_count": 3,
  "variations": [
    { "name": "USB-C", "asin": "B0D1XD1ZV3", "price": 189.99 },
    { "name": "Lightning", "asin": "B0BDHWDR12", "price": 179.99 },
    { "name": "MagSafe Case", "asin": "B09JQMJHXY", "price": 24.99 }
  ],
  "coupon": null,
  "subscribe_save_discount": 5,
  "bullet_points": [
    "Up to 2x more Active Noise Cancellation",
    "Adaptive Audio automatically tunes to your environment",
    "Personalized Spatial Audio with dynamic head tracking",
    "Adaptive Transparency lets in outside sound",
    "30 hours total listening time with MagSafe Charging Case"
  ],
  "description": "AirPods Pro (2nd generation) are packed with 
                  innovative features and the highest quality audio...",
  "images": [
    "https://m.media-amazon.com/images/I/61f1YfTkTDL._AC_SL1500_.jpg",
    "https://m.media-amazon.com/images/I/71R8thoVeKL._AC_SL1500_.jpg",
    "https://m.media-amazon.com/images/I/61SUj5v9ReL._AC_SL1500_.jpg"
  ]
}

How the Scraper Works — Technical Overview

Step 1 — Input Flexibility

You can feed the scraper data in multiple ways:

• Single product URLs (one per line)
• Bulk ASIN list (up to 1 million ASINs per job)
• Amazon search query (e.g., “wireless headphones under $50”)
• Amazon category URL (scrapes all products in that category)
• Seller storefront URL (scrapes all products from a seller)
• Best Sellers page URL
• New Releases / Movers & Shakers pages

Step 2 — Anti-Detection Engine

Amazon is one of the most aggressively protected websites on the internet. Our scraper beats its defenses through:

• Rotating pool of 15 million+ residential IP addresses
• Random browser fingerprint generation per request
• Intelligent request throttling that mimics human behavior
• Automatic CAPTCHA detection and solving (99.2% success rate)
• Session management and cookie rotation
• Headless Chromium browser rendering for JavaScript-heavy pages

Step 3 — Data Extraction & Processing

Once pages are successfully accessed:

• HTML is parsed and all target data points are extracted
• Prices are normalized across currencies
• Text is cleaned and whitespace is stripped
• Data is validated and verified for accuracy
• Duplicates are automatically removed
• Results are compiled into your chosen output format

Step 4 — Delivery & Automation

• Instant download available from your dashboard
• Automatic email delivery when job completes
• Direct push to Google Sheets
• Webhook notification with data payload
• REST API polling for programmatic retrieval
• Amazon S3, Google Drive, or Dropbox sync (Enterprise)

Pricing Plans Comparison

API Documentation — Quick Start

Integrate the Amazon Product Scraper directly into your application using our RESTful API:

// Example: Trigger a scrape via API

POST https://api.mydatascraper.com/v1/scrape/amazon
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

{
  "urls": [
    "https://amazon.com/dp/B0D1XD1ZV3",
    "https://amazon.com/dp/B08N5WRWNW",
    "https://amazon.com/dp/B09G9FPHY6"
  ],
  "marketplace": "amazon.com",
  "data_points": ["title", "price", "rating", "reviews", "asin"],
  "output_format": "json",
  "webhook_url": "https://yourapp.com/webhook/amazon-data"
}

// Example API Response

{
  "job_id": "job_8f3k2x9p",
  "status": "queued",
  "estimated_completion": "2024-12-15T10:34:00Z",
  "total_urls": 3,
  "credits_used": 3,
  "credits_remaining": 49997,
  "webhook": "https://yourapp.com/webhook/amazon-data",
  "dashboard_url": "https://mydatascraper.com/jobs/job_8f3k2x9p"
}

Full API documentation with code examples in Python, JavaScript, PHP, and Ruby is available in our Developer Documentation.

Frequently Asked Questions

Is it legal to scrape Amazon product data?

Scraping publicly accessible product data from Amazon is generally considered legal. Our scraper only collects information that any user can view without logging in. We follow responsible scraping practices and comply with applicable data protection laws including GDPR. We strongly recommend reviewing Amazon’s Terms of Service and consulting legal counsel for your specific use case and jurisdiction.

How fast can the Amazon scraper extract data?

Our scraper processes between 1,000 to 10,000 product pages per minute depending on your plan and server load. A batch of 10,000 ASINs typically completes in under 15 minutes. Enterprise customers with dedicated scraping clusters can process millions of products per day.

Will Amazon detect and block the scraper?

Extremely unlikely. Our anti-blocking technology has been refined over four years of active development. We maintain a 99.5% success rate across all Amazon marketplaces. The scraper uses residential proxies that appear as genuine human traffic, combined with realistic browser behavior patterns that are virtually indistinguishable from real users.

Can I scrape Amazon reviews separately?

Yes. Our Amazon Review Scraper is available as a separate tool that extracts individual customer reviews including reviewer name, rating, review text, verified purchase status, helpful votes, and review date. Both scrapers can be run together or independently.

Does the scraper work with Amazon’s search results pages?

Yes. You can input a search results page URL and the scraper will extract data from all products listed across multiple pages of results — up to the limit you set. It handles pagination automatically.

Can I schedule automatic recurring scrapes?

Absolutely. Professional and Enterprise plans support scheduled jobs. Set up hourly, daily, weekly, or custom interval scraping. Data is automatically delivered to your preferred destination when each job completes — email, Google Sheets, S3 bucket, or webhook.

What happens if a product page is unavailable or removed?

The scraper marks unavailable products with a “Product Not Found” or “Page Unavailable” status in your dataset. It never silently skips records — you always get a complete, accounted dataset showing exactly which URLs returned data and which did not.

Is the data output ready for Excel and data analysis tools?

Yes. Our CSV and Excel outputs are formatted with proper column headers, consistent data types, and clean formatting that imports directly into Excel, Google Sheets, Tableau, Power BI, Python pandas, and R without any preprocessing.

Need a Custom Amazon Scraping Solution?

If you need a scraping solution beyond what our standard plans offer — such as scraping Amazon Seller Central data, Amazon Advertising data, or building a custom data pipeline — our team of scraping experts is ready to build it for you.

We offer custom enterprise scraping solutions with dedicated infrastructure, custom data schemas, and managed delivery pipelines. Contact our sales team to discuss your requirements.