Platform · 40+ storefront countries

App Storefront Country Data

Countries times keywords times apps times days. Four multipliers, which is why country lists are chosen carefully.

Storefront country data treats each of 40+ countries as its own store: ranks, prices, ratings, listing text and even availability differ by storefront. Country is a dimension on every record, not a setting. Because volume multiplies across countries, keywords, apps and frequency, scopes usually focus on the countries that matter commercially, chosen at scoping. Country is on every record, no download or revenue estimate is presented as data, and reviewer names and profiles are never collected.

An app missing from a storefront is an availability fact. It is recorded, not skipped.

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Free pilot on your own 40+ storefront countries list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

storefronts_sample.jsonl LIVE FEED

{"country":"US","available":true,"price":0,"currency":"USD"} {"country":"BR","available":true,"rating":4.1} {"country":"KR","available":false,"availability_changed_at":"2026-07-01"}

illustrative sample rows · 40+ countriesevery storefront its own store · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to 40+ storefront countries or its owners. 40+ storefront countries and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

Our Data Powers

B2C Marketplace

amazon

D2C + Marketplace

NYKAA

D2C + Marketplace

Walmart

FMCG Marketplace

udaan

Food Delivery

Uber Eats

Quick Commerce

blinkit

Taxi Aggregator

Uber

E-Commerce

Tmall

40+ storefront countries at a glance

How we handle 40+ storefront countries specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Scope: 40+ storefronts, each separate
Differs: Rank, price, rating, text, availability
So: country on every record
Availability: Missing apps recorded
Multipliers: Countries × keywords × apps × days
Typical scope: Commercially key countries
Downloads: Never estimated
Refresh: Daily

Platform specifics

Every storefront its own store

These are the reasons a 40+ storefront countries dataset needs its own handling rather than a shared retail schema.

Country records

The same app can be free in one country, paid in another and unavailable in a third.

country in the key of every record.
available per country, with availability_changed_at.
price and currency per storefront.
listing_language per storefront.

Scoping, and what we do not do

Scoping

Country lists are chosen with the client; see our keyword page for why keyword sets are per market.

Estimates

No store publishes downloads or revenue, so none are modelled into the data, as the app store hub describes.

What we do not do

Blend countries into global figures, use accounts in other regions, estimate downloads, or convert prices without labelling.

Scope

What we collect on 40+ storefront countries, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Country in every record key
Availability per country
Prices in local currency
Ratings per storefront
Listing language per storefront
Country list agreed at scoping
Both stores
Conversions labelled
Daily refresh

❌ What we do not, and why

Global blends
Accounts in other regions
Download estimates
Unlabelled conversions
Revenue estimates

Core 40+ storefront countries fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
app_key	Cross-store
store / country	Mandatory key
available	Per country
availability_changed_at	Observed
price / currency	Local
rating / rating_count	Per storefront
listing_language	As shown
category_rank	Per country
converted_price_derived	Labelled
age_rating	Per country
observed_at	Timestamp

Use cases

What teams do with 40+ storefront countries data

Market entry research

Availability and competition by country.

Regional pricing

Local prices compared.

Localisation quality

Listings per country.

Rating differences

Same app, different markets.

The 24-hour sample — run on your sources, not ours

Send us a 40+ storefront countries item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

40+ storefront countries is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. 40+ storefront countries data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what app store data covers, and a 40+ storefront countries-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

40+ storefront countries data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Rank, price, ratings, text and availability all differ by storefront.

40+, usually focused on the ones that matter commercially.

Yes, as availability facts.

Never.

Countries, keywords, apps and frequency multiply.

It depends on countries, apps and keywords.

Talk to us.

See real 40+ storefront countries data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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