Amazon is the world's largest e-commerce marketplace — and its product pages are a goldmine of publicly available data. Whether you're monitoring competitor prices, researching products for a new line, tracking reviews for market intelligence, or building a price comparison tool, Amazon product data is invaluable.
The problem? Amazon doesn't offer a free, open data export. The official Product Advertising API requires an Amazon Associates account and has significant limitations. Manual copy-pasting doesn't scale. That's where a dedicated Amazon scraper comes in.
In this guide, you'll learn exactly what data you can extract from Amazon, how to do it step-by-step using OneScraper's no-code Amazon scraper, and real-world use cases where this data creates competitive advantage.
OneScraper's Amazon scraper extracts the full range of publicly available product data from any Amazon product listing or search results page. Here's what you get:
| Data Field | Description | Common Use Case |
|---|---|---|
| Product Title | Full product listing title | Catalog building, SEO research |
| Price | Current price (and sale price if applicable) | Price monitoring, competitive analysis |
| ASIN | Amazon Standard Identification Number | Product tracking, database keys |
| Star Rating | Average customer rating (1–5 stars) | Quality scoring, product comparison |
| Review Count | Total number of customer reviews | Popularity assessment, demand signals |
| Product Images | URLs of all product images | Catalog creation, visual research |
| Seller Name | Current seller / fulfilled by Amazon flag | Competitor seller research |
| Stock Status | In stock / out of stock / limited quantity | Inventory monitoring, demand spikes |
| Product Description | Full product description and bullet points | Content research, listing optimization |
| Category / BSR | Product category and Best Seller Rank | Market research, niche analysis |
Follow these four steps to extract Amazon product data in minutes — no coding, no API keys, no technical setup required.
Go to onescraper.com/sign-up and create a free account. No credit card required. The free plan gives you immediate access to the Amazon scraper and other ready-made scrapers.
From your dashboard, navigate to the Scrapers section and select "Amazon". You can choose between scraping a single product page (by ASIN or URL), a search results page (by keyword), or a product category.
Paste an Amazon product URL or enter a search keyword (e.g., "wireless earbuds under $50"). Select the Amazon marketplace (amazon.com, amazon.co.uk, amazon.de, etc.), the number of results to extract, and any filters. No technical configuration needed.
Click "Run Scraper". OneScraper's cloud infrastructure handles the extraction. Within minutes, your results appear in your dashboard. Download as CSV for Excel/Google Sheets, or JSON for database import. Optionally, schedule this scrape to run automatically every day or week.
E-commerce sellers and retailers use Amazon price data to stay competitive. By scraping competitor ASINs daily, you can instantly know when a rival drops their price, changes their offer, or goes out of stock — and respond accordingly. This is especially powerful for Amazon sellers managing their own repricing strategies.
Before launching a new product, brands scrape Amazon category pages to understand market saturation, pricing benchmarks, average ratings, and review volumes. This data helps you identify gaps in the market, set the right price point, and understand what customers value most based on top-reviewed products.
Product managers and brand researchers extract review data to understand customer sentiment at scale. With hundreds of reviews aggregated in a spreadsheet, you can spot recurring complaints, identify feature requests, and benchmark your product's perception against competitors — without reading every review manually.
OneScraper gives you two export formats:
Open directly in Microsoft Excel, Google Sheets, or any spreadsheet tool. Perfect for price tracking dashboards, product catalogs, and business reports.
Import directly into databases, APIs, or data pipelines. Perfect for developers who want to process Amazon data programmatically.
Scraping publicly available Amazon product data is widely practiced and generally accepted for personal research and business intelligence purposes. However, there are important considerations:
Free plan. No credit card. No coding. Get structured Amazon product data in minutes.
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