Remove Duplicates from Online Marketplace Product Data
✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Online marketplaces aggregate product listings from hundreds or thousands of independent sellers, each entering their own product titles, descriptions, and images. The same physical product -- a pair of Nike Air Max 90 sneakers, for example -- might have 40 separate listings from different sellers, each with a slightly different title, varying image quality, and inconsistent attribute data. dataclean.to matches these overlapping listings by product attributes, brand, model, and identifiers to help marketplace operators build clean product catalogs where multiple sellers link to a single canonical product page.
The Problem
Marketplace data duplication degrades the shopping experience and marketplace quality metrics. Shoppers searching for a specific product wade through pages of near-identical listings that differ only in seller name and price. Marketplace operators cannot accurately report how many unique products they carry, inflating catalog size in ways that do not survive scrutiny from partners or investors. Category browse pages become cluttered with redundant entries. Price comparison features break down when the same product appears under different titles that the comparison engine treats as separate items. Advertising efficiency drops when multiple listings for the same product compete for the same search terms. GS1 product identification standards
How to Fix It
1
Export marketplace product listings
Pull all product listings from your marketplace database into CSV format. Include product title, seller ID, brand, model, UPC/EAN, category, price, and any product attributes like size, color, and material.
2
Upload to dataclean.to
Upload the CSV. The tool compares product titles, brand-model combinations, and UPC codes to identify listings from different sellers that refer to the same physical product.
3
Review duplicate product clusters
Examine grouped listings. The tool shows how different sellers described the same product: one might list 'Nike Air Max 90 Men White Size 10' while another entered 'NIKE AIR MAX 90 WHITE MENS SZ 10.' Both refer to the same SKU.
4
Create canonical product entries
Merge confirmed duplicates into single product records with standardized titles, complete attribute data, and the most accurate category placement. Link all seller listings to this canonical product.
5
Export the clean product catalog
Download the deduplicated catalog for import into your marketplace platform. Clean product data enables unified product pages, accurate catalog counts, and functional price comparison across sellers.
Frequently Asked Questions
How does the tool handle products without UPC or barcode data?
Many marketplace sellers do not include UPC data. The tool falls back to fuzzy matching on product title, brand, and attributes. Items sharing a brand and model name with similar attribute values are flagged as duplicates even without a barcode match.
Can it distinguish between different variants of the same product?
Yes. Size, color, and material attributes are compared as part of the matching process. A red Nike Air Max 90 and a white Nike Air Max 90 are treated as different products even though their brand and model match.
What about sellers who intentionally create duplicate listings for visibility?
The tool identifies these duplicate listings regardless of intent. You can use the results to enforce listing policies, consolidate redundant entries, and ensure each unique product has a single canonical listing that all sellers share.
Example: Input → Output
name
sku
price
brand
rating
Wireless Headphones Pro
WHP-001
$89.99
SoundTech
4.5
wireless headphones pro
WHP001
89.99
soundtech
4.5/5
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.