Brand Protection · For Data Teams

Product matching that makes price comparison accurate across the US, UK, India & UAE

Every price comparison is only as good as the match behind it. We match identical products across sellers and marketplaces — even when titles, images and codes differ.

Identifier + attribute matching  ·  Confidence scores  ·  QA-verified
matched product group
Wireless Earbuds Pro — 3 listings matched98% match
"Wireless Earbuds Pro"
Amazon US
$49.00
"Pro Wireless Bluetooth Earbuds"
Walmart US
$52.00
"Earbuds Pro - Wireless"
Flipkart IN
$46.00
🇺🇸United States
Marketplaces: Amazon, Walmart +
Method: ID + attributes
Output: Matched groups
🇬🇧United Kingdom
Marketplaces: Retail & marketplace
Method: ID + attributes
Output: Matched groups
🇮🇳India
Marketplaces: Flipkart, Amazon +
Method: ID + attributes
Output: Matched groups
🇦🇪United Arab Emirates
Marketplaces: Noon, Amazon.ae +
Method: ID + attributes
Output: Matched groups
The problem

Bad matches make every comparison wrong.

Analytics and data teams build price comparisons on matches that quietly break:

01

No shared identifiers

The same product has different titles, images and codes on every marketplace.

02

Wrong matches mislead

Matching a 256GB model to a 128GB one makes a price comparison meaningless.

03

Manual matching can't scale

Matching products by hand across millions of listings simply isn't possible.

What you get

Identical products correctly grouped together.

Accurate matches so every price and listing comparison holds up.

Multi-signal matching

Identifiers, titles, attributes, specifications and images combined for an accurate match.

Confidence scoring

Every match scored — low-confidence matches flagged for review, not guessed.

Variant-aware

Size, colour and capacity variants kept separate, so comparisons stay like for like.

QA-verified output

Matches checked before delivery, so your downstream analysis is reliable.

How it works

From messy listings to clean matched groups.

STEP 01

Share your catalogue

Give us your products and the marketplaces and countries to match against.

STEP 02

We collect listings

We capture every listing of those products across marketplaces.

STEP 03

Match & score

Listings are matched using multiple signals and given a confidence score.

STEP 04

Receive matched groups

Clean matched product groups delivered as files or API.

Use cases

Where product matching is essential.

Accurate price comparison

Compare like-for-like prices across marketplaces.

Competitor benchmarking

Match your products to competitor listings reliably.

MAP & brand protection

Match listings correctly before flagging violations.

Assortment analysis

Identify true range overlaps and gaps.

Catalogue clean-up

De-duplicate and unify a messy product catalogue.

Multi-market mapping

Match the same product across the US, UK, India and UAE.

Country-specific benefits

Product matching tuned to each market.

🇺🇸

United States

Match products across large Amazon and Walmart catalogues.

🇬🇧

United Kingdom

Match listings across UK retail and marketplaces.

🇮🇳

India

Match products despite varied titles on Flipkart and Amazon.

🇦🇪

United Arab Emirates

Match products across Gulf marketplaces accurately.

Why Product Data Scrape

Matches your analysis can trust.

A

High accuracy

Multi-signal matching with QA, not naive title matching.

C

Transparent confidence

Every match scored, so you know what to trust.

S

Scales to millions

Matching across huge catalogues and many markets.

Questions, answered

Product matching FAQs

Product matching identifies when listings on different sellers or marketplaces are the same product, even when titles, images and identifiers differ — so prices can be compared like for like.

We match using a combination of identifiers, titles, attributes, specifications and images, so products are matched even when no shared code exists.

Matches are validated with QA, and low-confidence matches are flagged for review rather than guessed, so comparisons stay reliable.

500+ marketplaces across the US, UK, India, UAE, Australia and Canada.

As CSV, Excel, JSON or an API, with matched product groups and a confidence score per match.

Get a free sample dataset

See the exact fields, accuracy and format — for your products, on your target sites — before you spend a rupee or a dollar.

  • Sample delivered within 24 hours
  • Scoped to your real use case, not a generic demo
  • No obligation, no long contract

Tell us what you need

A specialist replies within one business day.