App Store & Google Play Reviews Scraper: iOS & Android API

You only pay for valid, complete results — every review is schema-validated before it is saved; incomplete or failed results are retried and never charged.

Switching from another review scraper? Paste your current input as is. Common field names (appIds, startUrls, appIdOrUrl, country, language, maxItems, sort, rating, deviceType…) are translated automatically, and outputFormat: "leader-compatible" keeps the output field names your integration already reads. Full list in Migrating from other scrapers.

Typical field	Here
app IDs / URLs / package names	apps (both stores in one list)
country / language	countries / languages (several per run)
max items	maxTotalReviews / maxReviewsPerApp (exact, no hidden cap)
sort	sortBy (newest, mostHelpful, rating)
score / user name / reply text	rating / authorName / developerReply.text

An iOS & Android app reviews API: scrape App Store and Google Play reviews and ratings into one clean JSON format — rating, title, text, date, app version, developer reply, device and a working link — for any app, country, language and device (phone, tablet, Chromebook, watch, TV, car), mixed in a single run. Built for product, support and ASO teams who read reviews every week: monitor mode returns only new reviews and alerts you on 1–2★ ones in Slack or by webhook. Also works as an iOS app reviews scraper, a Google Play reviews API, an app review monitoring tool and a competitor app review tracker.

Want to try first? Use the free Lite version: https://apify.com/cleanyield/app-store-google-play-reviews-lite

Why use this App Store & Google Play reviews API?

• 📥 Every review you ask for: no hidden 10-review cap — ask for 50 or 50,000 and get them, following both stores' pages to the end (measured: 50 of 50 per app on the Free plan).
• 🎯 The right app and country in every row: appName, store, country and language come from what you asked for and are checked on 59 real inputs, so rows never mix apps or storefronts.
• 🧷 One fixed schema for both stores: iOS and Android reviews in one run and one format that does not change between runs (schemaVersion), with links that actually open.
• ✅ Complete, accurate data: 100% of returned reviews have every required field filled; app, store, country, language and device verified on a fixed test set of 59 real inputs (popular and small apps, 13 App Store countries, 7 Google Play languages, 3 Google Play devices, both stores, keyword/version/date filters, nonexistent apps). See Measured quality.
• 📱 Every review Google Play has: tablet, Chromebook, watch, TV and car reviews are separate lists on Google Play; set devices to get them too. Google's per-review feature answers (ads, battery, multiplayer…) come in criteriaRatings.
• 🔎 Filters that save money: stars, date range (reviewsSince / reviewsUntil), keywords (crash, refund…, accent-insensitive) and app versions. You pay only for reviews that match.
• ⭐ Pro mode (one checkbox): topics per review, a 0–100 urgency score to sort your support queue, a one-sentence AI conclusion, a suggested reply for 1–3★ reviews, developer data, a 0–100 reputation score and the rating trend.
• 🔄 Drop-in replacement: accepts the input of other popular review scrapers (appIds, startUrls, country, maxItems, sort…) and can output their field names. See Migrating from other scrapers.
• 🧹 Ready for sentiment analysis and spreadsheets: ISO dates (UTC), ISO country codes, stars 1–5, isNegative flag, stable reviewId, deduplicated across countries and languages.
• 🔁 Built for monitoring: schedule it and get only the reviews that are new (or edited by their author) since the last run, with Slack/webhook alerts that put negative reviews first.
• 🚨 Actionable alerts (add-on): negative spike vs last week, a new app version rated lower than the previous one, unanswered negative reviews, and how your app ranks against competitors.
• ⚡ Fast: the default input (200 Instagram reviews from both stores) finishes in about 2 s of run time; 5,000 reviews in about 30 s, so sync mode works from Clay, n8n and Make.
• 📊 Dashboard in every run: a shareable page (DASHBOARD in the key-value store) with averages, negative share per app and, in Pro, what negative reviews talk about.
• 🔒 Privacy by default: reviewer names are omitted unless you ask for them.
• 🤖 AI-agent ready: pay-per-result only (no usage fees), works through MCP without an Apify account.

This Actor vs typical alternatives

Measured head-to-head on 2026-11-05: this Actor and the most-used single-store review scrapers (App Store and Google Play), run on Apify with the same 10 apps from our fixed test set (6 App Store countries, 4 Google Play languages), asking for 50 reviews each, compared review by review. Our full test set (59 real inputs) is in "Measured quality".

Same 10 apps, same request	Typical alternatives (measured, Free plan)	This Actor
Reviews returned when asking for 50	10 per run on the Free plan	50
Useful fields filled (same 90 reviews)	81% (no app name or store)	99%
Rating, title, text, version and date match	100%	100% (re-measured 6 Nov 2026)
Successful runs	9 / 10 (monthly run limit on Free plan)	10 / 10
Both stores in one run, one schema	✗ (one Actor per store)	✓
Cost per 1,000 reviews	USD 0.10	USD 0.10 (monitor mode: only new reviews)
Time per run	~5 s for 10 reviews	~5 s for 50 reviews
Monitor mode (only new) + Slack/webhook alerts	✗	✓
Tablet / Chromebook / watch / TV / car reviews (Google Play)	✗ or mobile/tablet/Chromebook only	✓ all 6 devices
Keyword, app version and date-range filters, both stores	partial (one store)	✓
Topics, urgency score, AI conclusion and suggested reply	✗	✓ Pro mode

What data can you get from the App Store and Google Play?

Field	Example
reviewId	googleplay:com.calm.android:5ae5d822-… (stable across runs)
store	appstore or googleplay
appId / appName	363590051 / Netflix
country	US (App Store storefront; null on Google Play, which groups by language)
language	en, pt-BR (Google Play; null on App Store, Apple does not report it)
rating	1–5
title	Trouble streaming while traveling (App Store only)
text	Review text
date	2026-11-03T06:51:42.000Z
appVersion	26.4.0
developerReply	{ "text": "Thank you for…", "date": "2026-10-19T20:22:47.588Z" } (Google Play)
thumbsUp	Helpful votes
isNegative	true for 1–2★
url	Opens the review (Google Play) or the app's reviews page (App Store)
device	phone, tablet, chromebook, watch, tv, car (Google Play; null on App Store)
criteriaRatings	[{ "criteria": "vaf_app_quality_ads_presence", "label": "ads presence", "rating": 2 }] — the reviewer's answers to Google Play's extra questions (some apps and games)
authorName / authorImageUrl	null by default (set omitAuthorNames: false to get the public name and, on Google Play, the profile picture)
topics	Pro: ["crashes_bugs", "payments_billing"]
priorityScore	Pro: 0–100 urgency
insight	Pro: one-sentence AI conclusion about the review
suggestedReply	Pro: AI reply draft for 1–3★ reviews, in the review's language
appDetails	Pro: developer, developer website, category, store rating, rating count, reputation score 0–100 and 7/30-day trend
changeType	new / changed in monitor mode
schemaVersion	2 (fields are only ever added, never renamed)

Example output

Real items from a run on 4 Nov 2026:

[
  {
    "reviewId": "googleplay:com.calm.android:5ae5d822-eb17-45aa-aadc-8b4671a4759a",
    "store": "googleplay",
    "appId": "com.calm.android",
    "appName": "Calm - Sleep, Meditate, Relax",
    "country": null,
    "language": "en",
    "rating": 5,
    "title": null,
    "text": "This app works well for sleep and square breathing.",
    "date": "2026-11-02T02:02:27.884Z",
    "appVersion": null,
    "authorName": null,
    "developerReply": {
      "text": "Thank you for your kind feedback! We're so glad Calm is helping you sleep better and practice square breathing. Wishing you many more restful nights and peaceful moments!",
      "date": "2026-10-19T20:22:47.588Z"
    },
    "device": "phone",
    "criteriaRatings": null,
    "authorImageUrl": null,
    "thumbsUp": 1,
    "isNegative": false,
    "url": "https://play.google.com/store/apps/details?id=com.calm.android&reviewId=5ae5d822-eb17-45aa-aadc-8b4671a4759a",
    "topics": null,
    "priorityScore": null,
    "insight": null,
    "suggestedReply": null,
    "appDetails": null,
    "changeType": null,
    "scrapedAt": "2026-11-04T21:27:52.497Z",
    "schemaVersion": 2
  },
  {
    "reviewId": "appstore:363590051:14744797101",
    "store": "appstore",
    "appId": "363590051",
    "appName": "Netflix",
    "country": "US",
    "language": null,
    "rating": 1,
    "title": "Trouble streaming while traveling",
    "text": "Doesn’t allow me to watch while I’m traveling",
    "date": "2026-11-03T06:51:42.000Z",
    "appVersion": "26.4.0",
    "authorName": null,
    "developerReply": null,
    "device": null,
    "criteriaRatings": null,
    "authorImageUrl": null,
    "thumbsUp": 0,
    "isNegative": true,
    "url": "https://apps.apple.com/us/app/netflix/id363590051?see-all=reviews",
    "topics": null,
    "priorityScore": null,
    "insight": null,
    "suggestedReply": null,
    "appDetails": null,
    "changeType": null,
    "scrapedAt": "2026-11-04T21:27:47.299Z",
    "schemaVersion": 2
  }
]

Pro mode fills the Pro fields. Real values from a Pro run on 4 Nov 2026 (Calm, Google Play, tablet review about billing):

{
  "device": "tablet",
  "topics": ["payments_billing"],
  "priorityScore": 35,
  "appDetails": {
    "developer": "Calm.com, Inc.",
    "developerWebsite": "http://www.calm.com",
    "category": "Health and fitness",
    "storeRating": 4.48,
    "ratingCount": 617051,
    "currentVersion": null,
    "appUrl": "https://play.google.com/store/apps/details?id=com.calm.android",
    "reputationScore": 62,
    "trend": { "last7dAverage": 3.59, "prev7dAverage": 3.67, "last30dAverage": 3.57, "last7dCount": 27, "last30dCount": 35 }
  }
}

Every run also saves REVIEW_STATS in the key-value store: per app, the store rating and rating count, average of the reviews returned, 1–5★ distribution, share of negative reviews, new vs edited, and a per-country/language breakdown.

Pro mode: topics, urgency, AI conclusion and suggested replies

Turn on Pro mode (one checkbox). The basic run stays as cheap and fast as before; Pro adds, per review:

• topics — what the review is about, in 6 languages (EN, ES, PT, DE, FR, IT): crashes_bugs, login_account, payments_billing, ads, performance, ux_design, update_regression, customer_support, privacy_security, notifications, missing_feature, praise.
• priorityScore (0–100) — sort by it to answer the most urgent reviews first. Stars (1★ = 50, 2★ = 40, 3★ = 20, 4★ = 5) + severe topic (crash, billing, login, privacy: +15) + recency (last 3 days +15, last 14 days +8) + helpful votes (up to +10) + negative without a developer reply (+10).
• insight — one sentence written by AI (Claude Haiku) from this review's data only, e.g. what the user is unhappy about and what it points to.
• suggestedReply — for 1–3★ reviews, a polite reply draft in the review's language that names the user's problem (it never promises refunds or dates).
• appDetails — developer, developer website, category, store rating and rating count from the store listing, a reputation score 0–100 (60% average stars of recent reviews, 25% share of non-negative reviews, 15% share of negative Google Play reviews with a developer reply; App Store: 70/30) and the rating trend (last 7 days vs previous 7, last 30 days). In monitor mode the trend uses the history the Actor keeps, so it gets richer with every scheduled run.

Pro also turns on the actionable alerts and competitor comparison below. You pay the Pro fee only for reviews that received the AI conclusion; if AI is not available in a run, the rest of Pro is delivered for free.

Use cases

• Support triage: every morning, the new 1–2★ reviews of your iOS and Android app in Slack, with version and link.
• Release QA: catch a new version that is rated lower than the previous one before the store rating moves.
• Competitor tracking: compare recent sentiment of your app vs competitors on each store.
• ASO and localization: reviews per App Store country and per Google Play language in one dataset.
• Voice of customer / LLM analysis: clean, deduplicated text ready for your own topic analysis.

Schedule it: monitor App Store and Google Play reviews and get only what changed

1. Turn on Monitor mode (optionally give it a Monitor state name, e.g. my-app-reviews-daily).
2. Add a Slack incoming webhook or a webhook URL (Zapier, Make, n8n — use it to send emails too). Turn on Alert only when there are negative reviews if you only care about 1–2★.
3. Open Schedules → Create schedule → daily or weekly → select this Actor with your input.

Each run compares with the previous one and outputs only new reviews (changeType: "new") and reviews whose author edited the rating or text (changeType: "changed"; a developer reply alone does not count as a change). It pages newest-first and stops as soon as it reaches reviews it already saw, so a daily check usually costs one request per app and country/language. The first run saves a baseline. You pay per new review plus a small per-app check fee.

The Slack alert lists the new negative reviews first (stars, app, store, version, text and link), then a line per app with new reviews, negatives and average.

Actionable alerts and competitor comparison

Turn on Actionable alerts and competitor comparison to get deterministic alerts you cannot get by pasting the JSON into a chatbot, because they need history and thresholds:

• Negative spike: share of 1–2★ reviews this week vs the previous week (minimum 10 reviews per week).
• Rating drop: average of new reviews this week vs the previous week.
• Version rated lower: latest app version vs the previous one (minimum 10 reviews each).
• Unanswered negative reviews: 1–2★ Google Play reviews from the last 7 days without a developer reply.
• Behind competitors: list your app first, then competitors; your app is ranked against them on the same store (App Store and Google Play are never mixed).

Real alerts from a run on 4 Nov 2026 (Uber vs Lyft vs Bolt):

HIGH — Uber: Rides, eats, hotels: version 4.655.10001 averages 3★ (22 reviews, 50% negative) vs 4.1★ for 4.654.10002 (252 reviews). HIGH — Lyft: 91 of 91 negative Google Play reviews from the last 7 days have no developer reply. MEDIUM — Uber: Rides, eats, hotels averages 3.95★ in recent reviews (25% negative) vs 4.39★ for Bolt: Request a Ride (13% negative) on Google Play. Rank 3 of 3.

Stored as REPORT (JSON) and REPORT_MD (Markdown) and included in monitor alerts. Charged as one app-insights event (USD 0.01) per app, only when there was enough data to compare. In monitor mode the Actor keeps a daily and per-version history, so week-over-week alerts work even for apps with thousands of reviews a day.

How much does it cost to scrape App Store and Google Play reviews?

Pay per result (pay per event): no subscription, no platform usage fees, and failed or incomplete reviews are free.

What	Price
Review returned	USD 0.10 per 1,000
App checked in monitor mode (per app, per run)	USD 0.005
Actionable alerts add-on (per app with enough data)	USD 0.01
Pro mode, per review with the AI conclusion (on top of the review price)	USD 2.00 per 1,000

Example	Cost
100 reviews	USD 0.01
1,000 reviews	USD 0.10
10,000 reviews	USD 1.00
Daily monitor of 1 app (iOS + Android), ~20 new reviews/day, for a month	~USD 0.36
Weekly monitor of 20 apps with alerts, ~200 new reviews/week, for a month	~USD 1.30
1,000 reviews with Pro mode	USD 2.10
Daily monitor of 1 app (iOS + Android) with Pro, ~20 new reviews/day, for a month	~USD 1.56

No surprises: at the start of every run the log shows the price and the maximum the run can cost with your input (for example Price: USD 0.0001 per valid result…; this run will cost at most USD 0.02 (200 results)). Use Maximum reviews for the whole run or Maximum cost per run for a hard stop.

Apify subscribers get a lower price per event (tiers on the Pricing tab). Set Maximum cost per run and the Actor stops exactly there; reviews it could not deliver are not marked as seen, so the next monitor run picks them up.

How to use the App Store & Google Play Reviews Scraper

1. Click Try for free.
2. Paste app links or ids in Apps (e.g. https://apps.apple.com/us/app/instagram/id389801252 and com.instagram.android).
3. Pick App Store countries and Google Play languages, then click Start. Download JSON, CSV or Excel, or get the data through the API.

Input example

{
  "apps": [
    "https://apps.apple.com/us/app/instagram/id389801252",
    "https://play.google.com/store/apps/details?id=com.instagram.android"
  ],
  "countries": ["us"],
  "languages": ["en"],
  "maxReviewsPerApp": 100
}

Input fields

Field	Description
apps	App Store URLs or numeric ids, Google Play URLs or package names (appstore:<bundle id> for an iOS bundle id). Both stores can be mixed. For comparisons, list your app first.
countries	App Store country codes (each storefront has its own reviews, ~500 most recent per country). Default us.
languages	Google Play languages (en, es, pt-BR…). Default en.
maxReviewsPerApp	Max reviews per app per country/language (counting only reviews that pass the filters). Default 500.
devices	Google Play devices: phone (default), tablet, chromebook, watch, tv, car. Each is a separate list on Google Play.
sortBy	newest (default, required for monitor mode), mostHelpful (most-voted first; Google Play calls it "Most relevant") or rating (highest stars first, Google Play only).
minRating / maxRating	Star filter, e.g. maxRating: 2 for only negative reviews.
reviewsSince / reviewsUntil	Date range: a date (2026-10-01) or a period (7 days, 2 weeks). Stops paging early.
keywords	Only reviews mentioning any of these words (title or text, case- and accent-insensitive, word start: ads does not match "downloads").
appVersions	Only reviews of these versions (8.12 matches 8.12.3).
maxTotalReviews	Optional cap for the whole run.
proMode	Pro extras (see Pro mode).
outputFormat	standard or leader-compatible (field names of other popular review scrapers).
savedListName, saveList	Save your list of apps under a name; scheduled runs reuse it.
omitAuthorNames	Default true: no reviewer names in the output.
monitorMode, monitorStateName	Only new/edited reviews since the last run.
notifyWebhookUrl, notifySlackWebhookUrl, notifyOnlyNegative	Alerts in monitor mode.
generateReport	Actionable alerts and competitor comparison (paid add-on).
proxyConfiguration	Not needed; automatic datacenter-proxy fallback if a store blocks.

Measured quality

Measured on a fixed test set of 59 real inputs (testset/cases.json: 27 App Store cases in 13 countries, 27 Google Play cases in 7 languages and 3 devices, 2 cross-store, 3 nonexistent apps, keyword/version/date filters), run against the live stores on 4 Nov 2026:

Metric	Result	Target
Successful runs	100% (59/59)	≥ 99%
Results with all required fields	100%	≥ 98%
Key fields correct (app name from the store, store, country, language, device, rating range, link)	100%	≥ 99%

The same test set is re-run before every release, and every change is listed in the CHANGELOG.md.

Migrating from other scrapers

Already using another App Store or Google Play review scraper? Paste your current input as is: these fields are understood (ours win if both are given). Set outputFormat: "leader-compatible" to keep the field names your integration expects.

Their input	Here
appIds: ["389801252"] or ["com.whatsapp"]	apps (both stores)
startUrls: ["https://…"] / [{ "url": "https://…" }], appIdOrUrl	apps
country: "us"	countries: ["us"]
language: "en"	languages: ["en"]
maxItems: 500 (whole run)	maxTotalReviews: 500 (and maxReviewsPerApp if not set)
maxReviews: -1	maxReviewsPerApp: 100000
sort: "NEWEST" / "HELPFULNESS" / "RATING", sortBy: "mostRelevant"	sortBy: "newest" / "mostHelpful" / "rating"
rating: 1, ratingFilter: [1, 2]	minRating / maxRating
recentDays: 30, endDate: "2026-10-31"	reviewsSince: "30 days", reviewsUntil: "2026-10-31"
appVersion: ["70.6"], keywords	appVersions, keywords
deviceType: "tablet"	devices: ["tablet"]

Their output field	Standard output	leader-compatible output
id	last part of reviewId	id
userName / userImage	authorName / authorImageUrl	userName / userImage
score / scoreText	rating	score / scoreText (+ rating)
replyText / replyDate	developerReply.text / .date	replyText / replyDate
version	appVersion	version
criterias	criteriaRatings	criterias
title, text, date, url, thumbsUp, appId, country, language	same name	same name
userUrl	not included: Apple's reviewer links do not open a page	—

Integrations and code examples

Bulk input is fine: up to 500 apps in one run, with low per-store concurrency, polite pauses, retries and your budget cap.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("cleanyield/app-store-google-play-reviews").call(run_input={
    "apps": ["https://apps.apple.com/us/app/instagram/id389801252", "com.instagram.android"],
    "countries": ["us"], "languages": ["en"], "maxReviewsPerApp": 100,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["store"], item["rating"], item["text"][:80])

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('cleanyield/app-store-google-play-reviews').call({
    apps: ['https://apps.apple.com/us/app/instagram/id389801252', 'com.instagram.android'],
    countries: ['us'], languages: ['en'], maxReviewsPerApp: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.filter((r) => r.isNegative));

Sync mode (Clay, n8n, Make, HTTP)

One HTTP call returns the reviews directly (typically 2–5 s for 100 reviews of one app):

POST https://api.apify.com/v2/acts/cleanyield~app-store-google-play-reviews/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>
Content-Type: application/json
{ "apps": ["com.duolingo"], "languages": ["en"], "maxReviewsPerApp": 50 }

n8n, Make and Google Sheets

Ready-made templates in this Actor's repository: n8n "New negative app reviews → Slack" and "Weekly app reviews → Google Sheets" (appends the new reviews to a sheet after every scheduled run), Make "Negative reviews → Slack or email", Clay "Recent app review sentiment per company". Or use the official Apify node/app → Run an Actor → cleanyield/app-store-google-play-reviews.

For developers: use it inside your own Actor

Building your own Actor or app that needs app reviews? Call this one as your data source:

• Fast and synchronous: run-sync-get-dataset-items returns 100 reviews in a few seconds.
• Stable schema: every item has schemaVersion; fields are only added, never renamed (CHANGELOG.md). Validate against the dataset schema in .actor/dataset_schema.json.
• Clear price: pay per result only, no usage fees; your users' runs never pay for failed reviews.

import { Actor } from 'apify';

await Actor.init();
const run = await Actor.call('cleanyield/app-store-google-play-reviews', {
    apps: ['com.duolingo', '570060128'], languages: ['en'], countries: ['us'], maxRating: 2, reviewsSince: '7 days',
});
const { items } = await Actor.apifyClient.dataset(run.defaultDatasetId).listItems();
// items[i].schemaVersion === 2
await Actor.exit();

Use with AI agents / MCP

This Actor charges only per result (no usage fees), so AI agents can run and pay for it through the Apify MCP server without an Apify account.

Example request to your assistant:

"Get the 1 and 2 star reviews from the last 7 days for Duolingo on the App Store (US) and Google Play (English), and tell me which app version they mention most."

"Monitor Calm's iOS and Android reviews every day with Pro mode and send the most urgent negative ones to my Slack."

Tips for agents: use apps with store URLs or ids (never app names), maxReviewsPerApp to cap cost, maxRating: 2 for complaints, reviewsSince for recent reviews, and proMode: true only when topics, urgency or reply drafts are needed. The output is one JSON object per review with the same fields for both stores.

Related Actors

• AI Brand Visibility Tracker — your brand's reputation in AI assistants, next to its reputation in app stores.
• Company Enrichment from Website — who is behind an app: emails, socials, tech stack and hiring signals from its website.

FAQ

Is this an official Apple or Google product?

No. Not affiliated with or endorsed by Apple, the App Store, Google or Google Play. The names are used only to describe where the public review data comes from.

Is it legal to scrape App Store and Google Play reviews?

The Actor reads only public reviews that anyone can see without logging in: Apple's public customer-reviews feed and lookup API, and the JSON that Google Play's own public app page uses to list reviews. It never logs in, solves captchas or bypasses blocks, and keeps a polite request rate. Reviewer names are omitted by default; only the public display name is available if you turn it on. You are responsible for how you use the data (e.g. GDPR if you store names).

What happens if a review fails or comes back incomplete?

It is retried automatically. If it still fails, it is skipped and you are not charged. Every run stores a RUN_STATS record (successes, failures by reason) in its key-value store, and REVIEW_STATS shows what each app returned per country/language.

Will the output format change?

Fields are never renamed or removed. New fields can be added; when that happens schemaVersion goes up (now 2) and the CHANGELOG.md says what was added. Turn on outputFormat: "leader-compatible" if your integration expects the field names of other review scrapers.

Why is country null for Google Play and language null for the App Store?

Because that is what the stores really provide. Google Play serves reviews per language (the country parameter does not change them — we measured it), and Apple serves reviews per country storefront without a language. We never fill these fields with guesses.

How many App Store reviews can I get?

Apple's public feed exposes the ~500 most recent reviews per country storefront. Add more countries for more reviews, or use monitor mode to keep collecting every new review over time. Google Play has no fixed cap.

Why do I get fewer Google Play reviews than the store shows?

Google Play keeps separate review lists per language and per device. Add more languages, or devices such as tablet and chromebook. The total on the store page also counts star ratings without text, which are not reviews.

Do I need a proxy?

No. Both stores answer without one; if a store starts blocking, the Actor retries through Apify datacenter proxy automatically.

I found a bug / need a feature

Open an issue in the Issues tab. We usually answer within 24 hours.