App Store & Google Play Reviews Scraper – Both Stores, One Run avatar

App Store & Google Play Reviews Scraper – Both Stores, One Run

Pricing

$2.00 / 1,000 reviews

Go to Apify Store
App Store & Google Play Reviews Scraper – Both Stores, One Run

App Store & Google Play Reviews Scraper – Both Stores, One Run

App Store Reviews Scraper and Google Play Reviews Scraper in one run. Rating, title, text, version, date, helpful votes and developer replies in one unified schema for iOS and Android. Filter by star rating, collect several countries, no API key, no start fee – pay only for delivered reviews.

Pricing

$2.00 / 1,000 reviews

Rating

0.0

(0)

Developer

Ani Björkström

Ani Björkström

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

Share

The App Store Reviews Scraper and Google Play Reviews Scraper you would otherwise run separately, in one actor with one unified schema. Paste App Store URLs, Google Play URLs, Apple numeric IDs or Android package names in any mix and get every review as a flat row: star rating, title, text, version, date, helpful votes and the developer reply.

  • Both stores, one schema. store, appId, rating, text, version, date, developerReply mean the same thing whether the review came from iOS or Android, so one spreadsheet, one dashboard or one LLM prompt covers your whole app.
  • Pay only for delivered reviews, no start fee. An app that returns nothing produces an explanatory row and costs nothing.
  • No API key, no proxy, no login. Reads Apple's public review feed and Google Play's own web endpoint directly – a typical run finishes in seconds.

What you get

FieldDescription
storeappstore or googleplay
appId, appNameApple numeric ID or Android package name, plus the store title
country, languageStorefront country (Apple) / hl language (Google Play)
reviewIdStable review ID
userNameReviewer display name
rating1–5 stars
titleReview headline (App Store only – Play reviews have no title)
textReview body
versionApp version the review was written for
dateISO 8601 UTC
thumbsUpHelpful votes
developerReply, developerReplyDateThe developer's public answer, when there is one (Google Play)
urlLink back to the review
scrapedAtISO 8601 UTC timestamp of the run
errorOnly on problem rows: why an app/country returned nothing

Input

Everything goes in one field, so the actor never scrapes a default app on top of yours. Runs with no input at all (WhatsApp on both stores), so a scheduled run is never empty.

Same app on both stores, newest 500 reviews each

{
"appUrls": [
"https://apps.apple.com/us/app/whatsapp-messenger/id310633997",
"com.whatsapp"
],
"maxReviewsPerApp": 500
}

Only 1–2 star complaints with text, several countries

{
"appUrls": ["310633997", "https://play.google.com/store/apps/details?id=com.whatsapp"],
"countries": ["us", "gb", "de", "se"],
"minRating": 1,
"maxRating": 2,
"onlyWithText": true,
"sortBy": "helpful"
}

Competitor set for a weekly report

{
"appUrls": ["com.spotify.music", "324684580", "com.soundcloud.android", "336353151"],
"maxReviewsPerApp": 200,
"language": "en"
}
OptionDefaultWhat it does
appUrlsWhatsApp (both stores)App Store URLs, Play URLs, Apple IDs (310633997, id310633997) or package names (com.whatsapp), routed to the right store automatically
maxReviewsPerApp200Cap per app and country (up to 20,000). Google Play returns the full history; the App Store feed stops at 500 per country
countries["us"]Two-letter storefront codes. A country inside a pasted URL always wins
languageenGoogle Play review language (hl)
sortBynewestnewest, helpful or rating. Apple applies it server-side; Play only serves newest-first, so other orders are applied to the collected reviews
minRating, maxRating1, 5Keep only reviews inside this star range
onlyWithTextfalseSkip star-only ratings
concurrency4Apps fetched in parallel (1–10)
proxyConfigurationoffNeither store needs a proxy at normal volumes

Output example

{
"store": "googleplay",
"appId": "com.whatsapp",
"appName": "WhatsApp Messenger",
"country": "us",
"language": "en",
"reviewId": "d40bb75a-d1a5-44b3-863d-c8624445efe9",
"userName": "Jonathan Spencer",
"rating": 1,
"title": null,
"text": "Whenever I try to link it to another device the account is placed under review...",
"version": "2.26.33.74",
"date": "2026-08-28T20:40:15+00:00",
"thumbsUp": 7,
"developerReply": null,
"developerReplyDate": null,
"url": "https://play.google.com/store/apps/details?id=com.whatsapp&reviewId=d40bb75a-d1a5-44b3-863d-c8624445efe9",
"scrapedAt": "2026-09-16T20:24:10+00:00"
}

An App Store row looks the same, with store: "appstore", a title, and url pointing at the App Store review. If an app has no reviews in a storefront you get one row with error explaining it instead of a silent gap.


Use cases

  • Product and UX teams – pull the newest 1–2 star reviews after every release, across both stores, and route them to Slack, Linear or Jira.
  • App marketing and ASO – mine review language for keywords and feature requests, compare rating distributions between iOS and Android, track how a competitor's update landed.
  • Customer support – see which complaints already have a developer reply and which are still unanswered.
  • AI and sentiment analysis – researchers and builders feed thousands of clean rows into GPT, Claude or a classifier; rating, text, version and date are all you need for a trend chart.
  • Investors and analysts – benchmark review volume and sentiment for a portfolio of apps over time.
  • Agencies – one scheduled run per client app, both stores, straight into Google Sheets or Looker Studio.

Pricing

$2 per 1,000 reviews, charged only for reviews written to the dataset. There is no actor start fee and no charge for apps that return nothing. Filtered-out reviews (outside your star range or without text) are never charged. Because both stores come in one run you do not pay two start fees or maintain two integrations.


Integrations

Python

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nourishing_courier/app-reviews-scraper").call(run_input={
"appUrls": ["com.whatsapp", "310633997"],
"maxReviewsPerApp": 300,
"minRating": 1,
"maxRating": 2,
})
for review in client.dataset(run["defaultDatasetId"]).iterate_items():
print(review["store"], review["rating"], review["text"][:80])

JavaScript

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('nourishing_courier/app-reviews-scraper').call({
appUrls: ['https://apps.apple.com/us/app/whatsapp-messenger/id310633997', 'com.whatsapp'],
countries: ['us', 'gb'],
maxReviewsPerApp: 500,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, 'reviews');

curl

curl -X POST "https://api.apify.com/v2/acts/nourishing_courier~app-reviews-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"appUrls":["com.whatsapp","310633997"],"maxReviewsPerApp":100}'

n8n, Make, Zapier – use the Apify node/module, select this actor, paste an input above and map the rows to Google Sheets, Airtable, Notion or Slack. Filter on store or rating downstream. MCP – expose it via the Apify MCP server and an agent can ask for "the latest negative reviews of com.whatsapp" as a tool call. Results are also available as JSON, CSV, Excel, XML and RSS.


Limits and fair use

The App Store's public feed serves at most 500 reviews per storefront (50 per page, 10 pages) – add more countries to collect beyond that. Google Play returns the full history, newest first, and its reviews carry no title. Both endpoints are public and unauthenticated; the actor sends one request per page and backs off on errors, so no proxy is needed at normal volumes. Reviews are public user content – use them in line with Apple's and Google's terms and applicable privacy law, and avoid re-identifying reviewers.


Why one actor for both stores

Single-store review scrapers are cheap, but a product team never looks at only one platform. Running two actors means two schemas to reconcile (Apple's title and im:voteSum versus Play's positional payload), two schedules, two integrations and two start fees. This actor normalises both feeds into the same 17 columns, routes each entry to the right store automatically, keeps the App Store's per-country limit and Google Play's language handling out of your way, and bills a single per-review price with no start fee. If you only ever need one store, it still works exactly the same – just paste one kind of ID.


FAQ

Can I scrape App Store and Google Play reviews in one run?

Yes – that is the point of this actor. Put both URLs (or an Apple ID and a package name) in appUrls and every row carries a store field so you can split or combine them later.

How many App Store reviews can I get per app?

Apple's public feed stops at 500 per country. List several countries (us, gb, de, fr, jp…) and you get up to 500 from each storefront.

How many Google Play reviews can I get?

The full history, newest first, up to maxReviewsPerApp (max 20,000). Set language to collect reviews written in a specific language.

Does it include developer replies?

Yes. developerReply and developerReplyDate are filled on Google Play reviews that have a public answer. Apple's public feed does not expose replies, so those fields are null on App Store rows.

Can I get only negative reviews?

Set minRating: 1 and maxRating: 2 (and onlyWithText: true if you want written feedback only). Filtered-out reviews are not charged.

Do I need an API key or proxy?

No. Neither store requires authentication for public reviews, and the actor runs without a proxy by default.

What does it cost?

$2 per 1,000 delivered reviews, no start fee. A run with 300 reviews costs $0.60.

Does it work with n8n or Make?

Yes. Both have an Apify integration; pass the JSON input and consume the dataset. Rows are flat, so they map directly onto spreadsheet columns.

Why did an app return an error row?

Usually a wrong ID, a package name that does not exist in that country, or an app with no reviews in the chosen storefront. The error text says which. Those rows are free.

How fast is it?

Seconds. The default run (WhatsApp, both stores, 200 reviews each) finishes in about 5 seconds.