Extract app data from the Apple App Store and Google Play at scale. We pull app names, categories, ratings, review counts, prices, developers, and rankings — delivered as CSV, Excel, or Google Sheets.
Ratings, rankings, reviews, developers — the data behind app market research and ASO.
The Apple App Store and Google Play together hold data that powers app market research, competitor analysis, and app store optimization: app names, categories, ratings, review counts, prices, developers, and rankings. Pulling it consistently across both stores, at scale, isn't something a quick script handles well.
Our app store scraping service does it for you. Send a category, a set of search terms, or a list of apps; we return a clean, structured file with each app's name, category, rating, review count, price, developer, and ranking — across the App Store, Google Play, or both.
One-time or on a schedule, you get reliable app data in the format your team already uses — ideal for ASO, competitor tracking, and market sizing, without managing proxies or parsing raw responses.
Apple and Google label things differently and expose different fields. We merge both into one consistent schema — no reconciling two exports yourself.
Scrape a category on a schedule and rank position becomes a trend line, not a single snapshot.
Every public field that drives app market research.
| App | Category | Rating | Reviews | Price |
|---|---|---|---|---|
| FitTrack Pro | Health & Fitness | 4.8 | 142,300 | Free |
| RunPace | Health & Fitness | 4.6 | 88,910 | $4.99 |
| YogaFlow Daily | Health & Fitness | 4.7 | 61,204 | Free |
| MacroCount | Health & Fitness | 4.5 | 203,880 | Free |
Send a category, search terms, or a list of apps, and which store(s).
We pull the data across the App Store and/or Google Play, capturing every field.
Duplicates removed, fields normalized across stores, output validated.
A ready-to-use CSV, Excel, or Google Sheet — once, or on a schedule.
Size a category and spot opportunities by scanning ratings and review volume.
Track competitor apps' ratings, rankings, and pricing over time.
Analyze categories and keywords to inform app store optimization.
Watch which apps are climbing the rankings in a category.
Map the apps and performance of specific developers or publishers.
Enrich an app list with ratings, categories, and developer data.
App Store and Google Play data normalized into a single consistent schema.
One-time pulls or recurring feeds — always current.
Deduplicated, normalized, and validated — ready to analyze.
No proxies, no parsing, no maintenance. Send the brief, get the data.
Both the Apple App Store and Google Play — separately or combined into one normalized dataset.
App name, category, rating, review count, price, developer, ranking, installs (Google Play), and the store URL.
We report ratings and review counts. Full review text is possible but sits in a grayer area, so we scope it carefully with you.
Yes — for rank and rating tracking we deliver recurring feeds.
We collect publicly visible app information (Apple even exposes a public iTunes API). No personal data, no logins bypassed. You are responsible for lawful use.
It depends on the number of apps and refresh frequency. Most one-time datasets start around $49.
Send a category or a few apps. We'll scrape a free sample from the App Store and/or Google Play so you can see the format first.