dataclean.to

Clean Amazon Product Listing Data

✓ Tested Works with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12

Amazon product data from scrapes, bulk exports, or marketplace reports contains platform-specific quirks that create problems when used outside Amazon's ecosystem. ASINs formatted inconsistently, Buy Box prices mixed with third-party offers, and category paths using Amazon's internal node IDs rather than readable names. dataclean.to normalizes this data into clean, structured product information usable across any platform.

The Problem

Amazon product exports include nested category hierarchies as long strings, pricing that conflates main offer with third-party seller data, bullet points stored as single concatenated text blocks, and variation relationships (size, color) that are difficult to parse into flat spreadsheet rows. Image URLs use Amazon's CDN parameters, and product descriptions may contain HTML or raw text depending on the export source. Amazon product data requirements

How to Fix It

1
Export Amazon product data
Download your product data from Amazon Seller Central reports, Brand Analytics, or a catalog export. Alternatively, import data from a product research tool's Amazon export.
2
Upload to dataclean.to
Import the CSV or Excel file. The platform recognizes Amazon-specific column formats including ASINs, browse node IDs, bullet point lists, and pricing structures.
3
Normalize product identifiers
Validate ASIN format (10 alphanumeric characters starting with B0). Check UPC/EAN values for proper length and check digits. Flag duplicate ASINs and products missing identifiers.
4
Clean pricing and category data
Separate sale price from list price. Normalize currency formats. Convert Amazon browse node paths into readable category names. Split concatenated bullet points into separate fields.
5
Export standardized product data
Download clean product data ready for your own website, comparison shopping engines, or other marketplace listings. All Amazon-specific formatting has been removed.

Frequently Asked Questions

Can dataclean.to validate Amazon ASINs?
The platform validates ASIN format (10 characters, alphanumeric, typically starting with 'B0' for products). It does not verify ASINs against Amazon's catalog, but it catches formatting errors and duplicates.
How are Amazon product variations handled?
Parent-child variation relationships export as separate rows. dataclean.to preserves variation attributes (size, color) and parent ASIN references while normalizing the attribute values for consistency.
Can I use cleaned Amazon data on other marketplaces?
Yes. After cleaning, the product data is platform-agnostic. You can use it for eBay, Walmart, Shopify, or any other channel. Platform-specific fields like browse nodes are converted to standard category names.

Example: Input → Output

nameskupricebrandrating
Wireless Headphones ProWHP-001$89.99SoundTech4.5
wireless headphones proWHP00189.99soundtech4.5/5

Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Wireless Headphones Pro",
  "sku": "WHP-001",
  "offers": {"@type": "Offer", "price": "89.99", "priceCurrency": "USD"},
  "brand": {"@type": "Brand", "name": "SoundTech"},
  "aggregateRating": {"@type": "AggregateRating", "ratingValue": "4.5"}
}
💡 How it works: Product schema enables rich results with price, availability, and star ratings in Google Shopping.

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