TL;DR
App Store and Google Play reviews are the most honest, highest-volume product feedback you will ever get — and it is all public. This guide covers what you can learn from reviews at scale, the normalized cross-platform schema you get, and the two ways to pull it: run Apify actors yourself, or get your apps plus competitors delivered as one feed with the App Review Intelligence data pack.
Every day your users — and your competitors' users — write down exactly what they love and hate, in public, on two app stores. The problem is that iOS and Android store the data differently, the review pages paginate awkwardly, and there is no built-in way to ask “show me every 1-star review mentioning ‘crash’ since the last release.” Turning that firehose into clean, comparable data is where the value is.
What can you learn from app reviews at scale?
- Product signal: recurring complaints and feature requests, ranked by volume instead of whoever shouted loudest in the last meeting.
- Release impact: sentiment per app version — did the latest update actually fix things, or start a fire?
- Competitor weakness: what users hate about rival apps is your roadmap and your ad copy.
- Support gaps: developer-response coverage — who replies to reviews, how fast, and where nobody is listening.
- Early warning: daily review-volume spikes that flag a bug, an outage, or a viral moment.
What clean, cross-platform review data looks like
The hard part is normalizing iOS and Android into one schema so a review is a review regardless of platform:
| date | app | platform | rating | version | review | dev_replied |
|---|---|---|---|---|---|---|
| 2026-06-19 | YourApp | iOS | 1 | 4.2.0 | "Crashes on launch after update" | no |
| 2026-06-19 | YourApp | Android | 5 | 4.2.0 | "New dark mode is perfect" | yes |
| 2026-06-18 | CompetitorApp | iOS | 2 | 9.1.1 | "They removed the free tier" | no |
CSV and JSON, every row source-linked, reviewer identities removed.
Option 1: Build it yourself with Apify actors
For a one-off pull of a single app, run the actor directly — pay-per-result, $5 free credit, no card:
- App Store Reviews Scraper (iOS) — ratings and full review text by app ID.
- Google Play Reviews Scraper — ratings, developer replies, and sentiment by app ID.
- App Store Scraper — rankings and reviews for broader market research.
- Google Play Scraper — Android app metadata and reviews.
Step-by-step walkthroughs: export App Store reviews to CSV, track competitor app reviews automatically, and the full bulk iOS + Google Play review monitoring guide.
Option 2: Get it delivered — App Review Intelligence
If you want a set of apps — your product plus competitors — kept fresh without maintaining anything, the App Review Intelligence data pack normalizes iOS + Android into one schema and delivers 12 datasets : cross-platform reviews, per-platform reviews, app metadata, ratings summary and distribution, daily review volume, recent positive/negative subsets, developer-response coverage, version-feedback sentiment, and a watchlist benchmark that ranks your tracked apps against each other.
- Starter — $49/mo ($490/yr): 3 apps, both platforms, weekly, core datasets, CSV+JSON, email delivery.
- Pro — $149/mo ($1,490/yr), recommended: 10 apps, all 12 datasets including competitor benchmarking, weekly, email or webhook delivery.
- Research Plus — $349/mo ($3,490/yr): 25 apps, all 12 datasets, daily refresh, change your watchlist anytime, priority support.
How it works: subscribe, paste the App Store / Google Play URLs of the apps you care about, and your first delivery lands within 24 hours.
Build vs. delivered: which should you choose?
Run an actor when you need one app's reviews on demand or are wiring review data into your own pipeline. Choose the pack when you are tracking a set of apps over time — yours and your competitors' — and want them normalized, benchmarked, and delivered on a schedule. Need a different cut — more apps, a specific market, a custom delivery target? Tell us what you need and we will build a custom extraction.
FAQ
Can I download App Store and Google Play reviews as CSV?
Yes. Our iOS and Google Play review actors export clean CSV and JSON, and the App Review Intelligence data pack delivers a normalized cross-platform feed as CSV + JSON on a schedule — every review source-linked, reviewer identities removed.
How do I track a competitor's app reviews?
Add the competitor's App Store and Google Play URLs to your watchlist. You then get their reviews, rating distribution, version-feedback sentiment, and developer-response coverage in the same schema as your own app, so you can benchmark side by side.
What can you actually learn from app reviews at scale?
Recurring product complaints and feature requests, sentiment per app version (did the last release help or hurt?), which competitors are bleeding users and why, how fast rivals respond to reviews, and daily review-volume spikes that flag a problem or a viral moment.
Is scraping app store reviews allowed?
These are publicly available review pages used for product and market research. The data is factual public content with reviewer identities removed — no private user data. It is not affiliated with or endorsed by Apple or Google, and it is not investment advice.
Should I run the review actors myself or subscribe to the pack?
Run an actor for a one-off pull of a single app's reviews (pay-per-result, $5 free credit, no card). Choose the App Review Intelligence pack when you want a set of apps — yours plus competitors — normalized into one schema across 12 datasets and delivered automatically on a schedule.
Built from publicly available app-store review pages. Factual public data for product and market research — not financial or investment advice. No private user data; reviewer identities removed. Not affiliated with, endorsed by, or sponsored by Apple, Google, the App Store, or Google Play.
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