App Store & Google Play Reviews Scraper – Both Stores, One Run
Pricing
$2.00 / 1,000 reviews
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
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0.0
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Developer
Ani Björkström
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2 days ago
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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,developerReplymean 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
| Field | Description |
|---|---|
store | appstore or googleplay |
appId, appName | Apple numeric ID or Android package name, plus the store title |
country, language | Storefront country (Apple) / hl language (Google Play) |
reviewId | Stable review ID |
userName | Reviewer display name |
rating | 1–5 stars |
title | Review headline (App Store only – Play reviews have no title) |
text | Review body |
version | App version the review was written for |
date | ISO 8601 UTC |
thumbsUp | Helpful votes |
developerReply, developerReplyDate | The developer's public answer, when there is one (Google Play) |
url | Link back to the review |
scrapedAt | ISO 8601 UTC timestamp of the run |
error | Only 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"}
| Option | Default | What it does |
|---|---|---|
appUrls | WhatsApp (both stores) | App Store URLs, Play URLs, Apple IDs (310633997, id310633997) or package names (com.whatsapp), routed to the right store automatically |
maxReviewsPerApp | 200 | Cap 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 |
language | en | Google Play review language (hl) |
sortBy | newest | newest, helpful or rating. Apple applies it server-side; Play only serves newest-first, so other orders are applied to the collected reviews |
minRating, maxRating | 1, 5 | Keep only reviews inside this star range |
onlyWithText | false | Skip star-only ratings |
concurrency | 4 | Apps fetched in parallel (1–10) |
proxyConfiguration | off | Neither 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,versionanddateare 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 ApifyClientclient = 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.