App Store & Google Play Reviews Scraper
Pricing
from $0.15 / 1,000 reviews
App Store & Google Play Reviews Scraper
Scrape app reviews from the Apple App Store and Google Play in one run: rating, title, text, app version, date, likes and developer replies, for any app and country. Filter by stars and date. Optional report per app with complaints and rating trend.
Pricing
from $0.15 / 1,000 reviews
Rating
0.0
(0)
Developer
Mariam Ahmed
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
11 days ago
Last modified
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Scrape app reviews from the Apple App Store and Google Play in one run, for any app and any country, with no login and no API key:
- Every review as a row: stars, title, text, app version, date, helpful votes and the developer's reply
- Both stores at once: type an app name and get its reviews from the App Store and Google Play, or paste store links
- Any country: each country store has its own reviews; ask for several in one run
- About 1,000 App Store reviews per country, twice the usual 500 (newest and most helpful lists combined), and as many Google Play reviews as you want
- Filters: star range (only 1 and 2 stars, for example), reviews since a date or from the last N days, newest or most helpful first
- Optional app report: rating mix, rating by month, last 30 days against the 30 before, top complaint and praise themes with examples, common phrases, lowest-rated app versions, developer reply rate
- No reviewer names: reviews are saved without the reviewer's name
What does this app reviews scraper do?
Temu · App Store · US · 750 reviews readStore rating 4.66, but the reviews read average 3.52 · 31.5% are 1-2 starsTop complaint: payments and orders (50% of negative reviews) · trend declining
- Enter apps: names, App Store links or ids, Google Play links or package names.
- Pick stores, countries, how many reviews, and optional filters.
- You get one row per review and, if you want, one report per app, store and country.
flowchart LRA[App name<br/>or store link] --> B[App Store<br/>per country]A --> C[Google Play<br/>per country]B --> D[Reviews<br/>stars, text, version,<br/>date, reply]C --> DD --> E[App report<br/>themes, trend,<br/>bad versions]
Who is it for?
- Product managers and app developers: read what users complain about, by version, after every release
- App marketers and ASO specialists: track ratings and review themes for your app and competitors, by country
- Customer support teams: find unanswered complaints and measure your reply rate on Google Play
- Market researchers and investors: compare user sentiment across apps in a category
- AI and data teams: build labelled review datasets (text + stars) for sentiment models
What data do you get?
Reviews (default dataset, one row per review)
| Field | What it tells you |
|---|---|
appName, appId, store, country, language | Which app, store and country |
rating, title, text | Stars (1-5) and what the user wrote |
version, date | App version reviewed and when |
thumbsUp | Helpful votes |
developerReply, developerReplyDate | The developer's answer (Google Play) |
reviewId, reviewUrl | Review id and link |
App reports (second dataset, one per app, store and country)
| Field | What it tells you |
|---|---|
storeRating, storeRatingCount, storeRatingBreakdown, installs | The store's own numbers |
reviewsAnalyzed, averageRatingAnalyzed, ratingBreakdownAnalyzed | The reviews read, and their average |
negativeSharePercent, positiveSharePercent | Share of 1-2 star and 4-5 star reviews |
ratingByMonth, last30DaysAverageRating, previous30DaysAverageRating, ratingTrend | Is it getting better or worse |
complaintThemes, praiseThemes | Crashes, login, ads, price, refunds, speed, updates, support... with share and an example |
topComplaintPhrases, topPraisePhrases | The two-word phrases users repeat |
lowestRatedVersions | App versions with the worst average |
developerReplyRatePercent, developerReplyMedianHours | How often and how fast the developer answers (Google Play) |
Example: 7 October 2026
Spotify, Duolingo, ChatGPT and Temu, both stores, US and UK, up to 2,000 reviews each: 23,722 reviews and 16 reports in 3 minutes 12 seconds.
| App (US) | Store | Store rating | Average of reviews read | 1-2 stars | Top complaint |
|---|---|---|---|---|---|
| Temu | App Store | 4.66 | 3.52 | 31.5% | Payments and orders (50%) |
| Temu | Google Play | 4.45 | 3.96 | 21.5% | Privacy and scams (21%) |
| Spotify | App Store | 4.77 | 3.75 | 22.9% | Price and subscription (39%) |
| Spotify | Google Play | 4.35 | 3.94 | 23.2% | Price and subscription (32%) |
| ChatGPT | App Store | 4.83 | 3.97 | 22.5% | Crashes and bugs (19%) |
| Duolingo | Google Play | 4.73 | 4.51 | 7.5% | Price and subscription (9%) |
- Written reviews are harsher than star ratings: every app's reviews average below its store rating, by up to 1.1 stars (Temu 3.52 against 4.66 on the App Store), because unhappy users write more.
- Volume differs hugely: 2,000 Google Play reviews cover the last 7 hours for ChatGPT, 3 days for Spotify and 19 days for Duolingo.
- Spotify answers 12% of its Google Play reviews; Duolingo, ChatGPT and Temu almost none.
Pricing
$0.00015 per review ($0.15 per 1,000) and $0.01 per app report.
- 1,000 reviews of one app: $0.15, or $0.16 with the report
- The run above (23,722 reviews, 16 reports): $3.72
Turn off App report to pay for reviews only.
Good to know
- App Store limit: Apple publishes about 500 reviews per list and country. This scraper reads both the newest and the most helpful list, which barely overlap, so you get about 1,000 per country; the most helpful ones can be years old. Add more countries for more reviews.
- Google Play has no such limit; 100,000 reviews per app and country is the cap here.
- Filters: star filters on Google Play are applied by Google when you pick one star value; otherwise more reviews are read and trimmed, so the count you asked for is still reached where possible.
- Themes use English keyword lists, so reports work best for English reviews. Reviews themselves come in any language.
- Same app twice (by name and by link) is read once.
- No personal data: reviewer names and avatars are not collected.
- Data comes from the stores' public review pages and feeds. Not affiliated with Apple or Google.
Input
| Field | Meaning |
|---|---|
| Apps | Names, App Store links or ids, Google Play links or package names |
| Stores | App Store, Google Play or both (for apps given by name) |
| Countries | Two-letter codes, default us |
| Reviews per app, store and country | 1 to 100,000 (default 500) |
| Order | Newest, most helpful, or by rating (Google Play) |
| Lowest / highest star rating | 1 to 5 |
| Reviews since / from the last N days | Date filters |
| Google Play language | Default en |
| App report | On by default |
Integrations
Export to JSON, CSV, Excel or Google Sheets, or connect through the Apify API, webhooks, Make, Zapier and n8n. Schedule it daily with "from the last 1 day" and stars 1 to 2 for a feed of new complaints about your app or your competitors.