Identify identical products across Amazon, Walmart, eBay, supplier feeds, and competitor websites with 99%+ accuracy. Normalize attributes, deduplicate listings, and create a single unified product record — automatically.
Deep learning models compare product titles, descriptions, and attributes to find matches even when identifiers are missing or inconsistent.
Match on UPC, EAN, GTIN, ASIN, MPN, ISBN, or any combination of identifiers. Support for partial and cross‑reference matching.
Automatically map attributes like "L" to "Large", "in" to "inch", and different category taxonomies to a unified schema.
Identify duplicate entries within a single source or across sources, and merge them into golden records with configurable conflict resolution.
Map products to your internal category tree or standard taxonomies like UNSPSC or Google Product Category.
Use product images as an additional signal to confirm matches, especially when textual data is sparse or unreliable.
Provide your product files (CSV, JSON, Excel) or connect to source URLs and APIs.
Define which identifiers and attributes to use, set confidence thresholds, and choose merge logic.
Our models process your data, outputting matched clusters and normalized attributes.
Download a deduplicated, enriched product catalog ready for your PIM or e‑commerce platform.
Merge supplier catalogs from hundreds of vendors into a single, clean master catalog for your online store.
Identify identical products listed on Amazon, Walmart, eBay, and your own site to manage pricing and inventory centrally.
Track how your products are listed across all reseller sites and ensure consistent presentation.
Match your products to competitor listings to accurately compare prices and assortment.
Cleanse and deduplicate legacy product data before loading it into a new PIM system.
Build comprehensive product databases by matching listings from dozens of sources.
Need a custom integration? We'll build it for you.
For small catalogs and proof‑of‑concepts.
All plans include onboarding and matching configuration. Talk to sales for a tailored plan.
"MyDataScraper matched 250,000 products from our 12 supplier feeds into a single catalog with 98% accuracy. What used to take a team of 5 people 3 months now happens automatically, saving us countless hours and revenue."
"The AI‑powered fuzzy matching is incredible. They correctly matched products with completely different titles across countries — something our old rules‑based system never could."
Get a free product matching sample — 100 products matched across 2 sources.