Crawled mobile-app market intelligence panel: per-app Google Play

Crawled mobile-app market intelligence panel: per-app Google Play (and other store) trends covering total installs, monthly and daily installs, estimated monthly revenue, top countries, in-app-purchase presence, last-crawl timestamps, release date, latest update date, APK size, current version, review counts, rating votes and star rating, plus the archived marketing screenshots and listing copy that let a change be dated. The visible Philippine slice shows a BNPL/lending app tracked at 500K total installs, a 3.5-star rating, 222 reviews, 407 rating votes, a 2024-12-03 release date for the current listing generation, and a latest update dated 2026-08-20 — i.e. the panel resolves app lifecycle, traction and sentiment for consumer-finance apps in a market where no other public source reports per-app install/revenue series.

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareFinancial Exchanges & Data
Instruments: equities
Categories

Dataset card

Type: not stated
Format: Tabular + text/image — per-app structured metric rows (installs, revenue, ratings, version, size, dates) presented per-app on crawl pages, alongside scraped listing text, screenshot creatives and the user-review corpus; delivered as browsable web pages with paid/export access rather than a public API
Volume: Not published on the page. Bounding inference: an app-store crawler of this type typically tracks hundreds of thousands to a few million apps with a per-app metric history per crawl, plus the review corpus and archived creatives — but the visible page shows several fields blank (monthly installs, daily installs, monthly revenue, top countries all shown as '-') with an explicit 'Crawled' status flag, indicating coverage and depth are uneven per app rather than uniformly populated. Request the tracked-app count, crawl cadence, and the fraction of records with revenue estimates.
Users: N/A — small B2B app-intelligence service with no consumer user base; scale is subscribers, not published. Bounding inference: a micro-scale operation (recorded headcount ~2, no disclosed funding, Cyprus-registered), so plausibly a low-hundreds subscriber base at most. Request the subscriber count and panel breadth.
History: not stated
Update frequency: not stated
Growth: Active but thin — the crawl is live (current version, 2026-08-20 update date and 2026-dated trend pages captured) and pages are regenerated for tracked apps; however several key metrics are unpopulated on this page and the vendor is a ~2-person operation, so continuity of coverage is fragile rather than assured.
Launched: Not stated. Bounding inference: ~2015-2019 for the service, inferred from the provider organisation record vintage and from the app-intelligence category's general build-out period; the tracked app data on this page is current (latest update 2026-08-20) while the page title references 2026 trends, so the crawl is live. Request the service launch year and the earliest crawl date retained.
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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