Commerce Intelligence · For Regional Teams

Geo and store-level pricing data across the US, UK, India & UAE

The same product rarely costs the same in every city. We capture prices at store, region and pincode level — so you see the real local picture, not a national average.

Store & pincode level  ·  Regional variation  ·  Quick-commerce zones
geo pricing — by location
Wireless Earbuds Pro — same SKU
📍New York, NYzip 10001$52.00
📍Austin, TXzip 78701$49.00
📍Phoenix, AZzip 85001$46.50
📍Miami, FLzip 33101$49.99
🇺🇸United States
Granularity: Zip / store
Channels: Retail & q-commerce
Refresh: Daily / weekly
🇬🇧United Kingdom
Granularity: Postcode / store
Channels: Grocery & retail
Refresh: Daily / weekly
🇮🇳India
Granularity: Pincode / city
Channels: Quick commerce
Refresh: Daily / hourly
🇦🇪United Arab Emirates
Granularity: City / zone
Channels: Q-commerce & retail
Refresh: Daily
The problem

A national price hides what's really happening locally.

Regional pricing teams make decisions on an average that doesn't match any actual city:

01

Blind to regional variation

The same product sells at very different prices city to city — and you only see one number.

02

Online price ≠ store price

Store and quick-commerce zone prices differ from the national online price, and nobody tracks it.

03

Local competition is invisible

You can't see how you compare in a specific city or delivery zone.

What you get

Pricing at the granularity that matters.

Not a national average — the real price in each store, zone and pincode.

Store & pincode-level prices

Prices captured at the location granularity you need — zip, postcode, pincode or store.

Regional variation analysis

See where prices run high or low and how wide the spread is across regions.

Quick-commerce zone pricing

Track zone-level prices on quick-commerce apps that price by delivery area.

Local competitor mapping

Compare your price against local competitors in each city or zone.

How it works

From national average to local detail.

STEP 01

Choose locations

Tell us the products, cities, zones or pincodes and countries to track.

STEP 02

We capture by location

We collect prices at each location, the way a local shopper would see them.

STEP 03

Compare & map

Prices are structured by location and benchmarked against local competition.

STEP 04

Receive your feed

Location-structured data delivered in your format, on your schedule.

Use cases

Where geo pricing data helps.

Regional pricing

Set prices that fit each region instead of one blanket price.

Store competitiveness

Check how each store compares to local rivals.

Quick-commerce pricing

Track and respond to zone-level quick-commerce prices.

Price parity checks

Spot where local prices drift too far from policy.

Market expansion

Understand local price levels before entering a city.

Delivery-cost pricing

Factor regional delivery costs into local pricing.

Country-specific benefits

Geo pricing tuned to each market.

🇺🇸

United States

Track zip and store-level prices across a large, regionally varied market.

🇬🇧

United Kingdom

Capture postcode and store-level grocery and retail pricing.

🇮🇳

India

Track pincode-level quick-commerce pricing where zones change fast.

🇦🇪

United Arab Emirates

Monitor city and zone-level pricing across the Gulf.

Why Product Data Scrape

Local detail you can act on.

L

True location accuracy

Prices captured as a real local shopper sees them.

G

Your granularity

Store, zone, pincode or region — whatever you need.

S

Scales across locations

From a few cities to nationwide coverage.

Questions, answered

Geo & store-level pricing FAQs

It is price data captured at city, region, store or pincode level, showing how the price of the same product varies by location instead of a single national price.

Yes. We capture prices at the location granularity you need — pincode, zip, store or region — across e-commerce and quick-commerce channels.

Local competition, delivery costs, store formats and quick-commerce zone pricing all cause the same product to be priced differently by area.

We capture location-level pricing across the US, UK, India, UAE, Australia and Canada.

As CSV, Excel, JSON or a dashboard, structured by location so regional teams can act on it.

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.