Platform · Developer pages

App Developer Page Data

A developer page is a portfolio. Its changes are launches and removals.

Developer page data records each developer's portfolio per store and country: which apps it lists, new launches and delistings as dated events, and the developer and seller names exactly as shown. Individual developers sometimes publish under their own names; for them, only the published developer name is kept, and no other personal detail is collected. Country is on every record, no download or revenue estimate is presented as data, and reviewer names and profiles are never collected.

An app disappearing from a developer page may be a removal, a transfer or a country change. The event records which, where shown.

Get a free sample See sample data

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

developers_sample.jsonl LIVE FEED

{"developer_name":"as shown","portfolio_size":14} {"launch_event":"new app listed","event_date":"2026-09-12"} {"delist_event":"app removed","event_date":"2026-09-02","reason":null}

illustrative sample rows · per countrylaunches and removals · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Developer pages or its owners. Developer pages 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

Developer pages at a glance

How we handle Developer pages specifically

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

Source: Public developer pages
Portfolio: Apps per store and country
Launches: Dated events
Delistings: Dated events
Names: Developer and seller as shown
Individuals: Published name only
Cross-store: Matched where possible
Refresh: Daily

Platform specifics

Launches and removals

These are the reasons a Developer pages dataset needs its own handling rather than a shared retail schema.

Portfolio records

Developers' names can differ between stores and from the legal seller shown on listings.

developer_name and seller_name as shown.
portfolio app list per store and country.
launch_event and delist_event with dates.
cross_store_developer_key where matched.

Individuals, and what we do not do

Individual developers

Where a developer is a person, only the name the store publishes is kept. Releases are on our version history page.

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

Collect contact details or addresses beyond the published developer name, infer reasons for delisting, use developer consoles, or estimate portfolio revenue.

Scope

What we collect on Developer pages, 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

Developer and seller names as shown
Portfolios per store and country
Launches dated
Delistings dated
Cross-store matching
Individual developers: name only
Country on every record
Portfolio size over time
Daily refresh

❌ What we do not, and why

Contact details or addresses
Reasons for delisting inferred
Developer consoles
Portfolio revenue estimates
Download estimates

Core Developer pages fields

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

Field	What it is on this platform
developer_id / developer_name	As shown
seller_name	As shown
store / country	Mandatory
portfolio	App keys
portfolio_size	Derived
launch_event	Dated
delist_event	Dated
cross_store_developer_key	Where matched
developer_type	organisation or individual, as the store shows
first_seen	Observed
observed_at	Timestamp

Use cases

What teams do with Developer pages data

New launch detection

Competitors' new apps.

Portfolio strategy

Size and mix over time.

Delisting monitoring

Apps removed, dated.

Publisher mapping

Across stores.

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

Send us a Developer pages 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.

Developer pages is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Developer pages 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 Developer pages-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

Developer pages data scraping: frequently asked questions

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

Yes, as dated events on developer pages.

Recorded with dates; reasons are not inferred.

Only the published developer name.

Where possible, with a key.

Never.

It depends on developers and countries.

Talk to us.

See real Developer pages 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.

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

▶

1 min

★★★★★

"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"

Thomas Galido

Co-Founder / Head of Product at Upright Data Inc.

▶

2 min

★★★★★

"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."

Iulen Ibanez

CEO / Datacy.es

▶

1:30

★★★★★

"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."

Febbin Chacko

-Fin, Small Business Owner