LOCATION INTELLIGENCE

Where to open next,
answered with data.

"Where should the next dark store go? Everyone has an opinion, nobody has data."

// THE SHORT ANSWER

Location intelligence maps points of interest, competitor store and dark-store footprints, delivery coverage zones and demand signals city by city — so expansion, coverage and network decisions rest on what platforms actually serve today, not opinion. iWeb Data Scraping builds competitor coverage maps and serviceable-area data from live platform signals, giving strategy and expansion teams an observed view of the market rather than an estimated one.

Get free sample in 48h How it works
99%+field accuracy, QA-verified
48hfree sample turnaround
24/7pipeline monitoring
ISO 27001+ 9001 certified

Key facts

  • City-level — competitor coverage maps
  • Pincode — serviceable-area resolution
  • Live signal — from platforms, not stale census

Network decisions — where to open the next dark store, which pincodes to cover, where competitors are strong or absent — are usually made on intuition and stale census data. Meanwhile the answer is observable: every quick-commerce app, store locator and delivery platform broadcasts, in real time, who serves where. Location intelligence turns that public signal into a map you can plan on.

We collect POI and competitor footprint data, serviceable pincodes and coverage zones, and demand signals from live platforms, mapped city by city and refreshed as competitors expand. It's built on our enterprise crawling and app extraction — because much of this data, especially quick-commerce coverage, exists only inside the apps.

THE POINT

The gap isn’t knowing this matters — it’s seeing it in time to act. That’s what the feed is for.

City-levelcompetitor coverage maps
Pincodeserviceable-area resolution
Live signalfrom platforms, not stale census
WHAT YOU GET

The market's footprint,
observed not estimated.

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Competitor footprint mapping

Where rivals' stores and dark stores actually are, and which areas they serve — city by city.

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Serviceable-area data

Which pincodes each platform delivers to, and where coverage gaps and overlaps sit.

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POI datasets

Points of interest — stores, restaurants, competitors, complementary businesses — geocoded and categorized.

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Coverage change tracking

New dark stores and expanding serviceable zones detected as competitors grow — expansion, as it happens.

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Demand signal overlay

Platform-observed demand indicators layered onto geography — where the market is pulling.

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Expansion scenario support

Coverage, competition and demand combined to evaluate candidate locations on evidence.

SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Competitor footprint + coverage — geocoded, by pincode.
competitor type city pincode serviceable lat lng
RivalMart dark_store Mumbai 400051 yes 19.055 72.836
RivalMart dark_store Mumbai 400001 yes 18.938 72.835
QuickCo dark_store Mumbai 400051 no — —
RivalMart dark_store Pune 411001 yes 18.519 73.855
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
HOW IT WORKS

From question to answer.

STEP 1

Define the geography

We set the cities, pincodes, competitors and POI categories your decision needs.

STEP 2

Map from live platforms

Footprints, serviceable areas and demand signals captured from apps and platforms, geocoded.

STEP 3

Deliver the decision map

Competitor coverage, gaps and demand mapped city by city, refreshed as the market moves.

WHY BUY VS BUILD

The details in the feed.

FIELDS Location, competitor presence, serviceable pincodes, POI category, demand signal, coverage change, date
RESOLUTION City and pincode level
COVERAGE Quick commerce, retail, food delivery footprints; custom POI categories
REFRESH Monthly standard; on-demand for expansion projects
DELIVERY Geo files (GeoJSON), CSV/API, warehouse-direct
RELATED:Enterprise Web Crawling →Mobile App Scraping →Location & POI Data →
FAQ

Before the first call.

Location intelligence maps competitor store and dark-store footprints, serviceable delivery areas, points of interest and demand signals city by city, built from live platform data. It grounds expansion and coverage decisions in what platforms actually serve today, rather than intuition or outdated census figures.

From live public platform signals — quick-commerce apps, store locators, delivery platforms and map data — much of which exists only inside mobile apps. We capture serviceable pincodes, competitor footprints and coverage as platforms actually broadcast them, then geocode and map the result.

Yes — coverage change tracking detects new dark stores and expanding serviceable zones as competitors grow, so you see expansion as it happens rather than after it's established. This is especially valuable in quick commerce, where footprint changes weekly.

As geo-ready files (GeoJSON), plus CSV/API and warehouse loads, so the data drops into your GIS, BI or planning tools. Competitor coverage, serviceable areas and demand signals come mapped and refreshed on your schedule, ready for scenario analysis.

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