App Store & Google Play Scraper: Ratings, Reviews, Installs & Pricing

Pull structured app intelligence from the Apple App Store and Google Play in one run, instead of running two separate scrapers against two bills. Give it a search term, an Apple trackId or a Google package name and you get back a clean, unified record per app: name, developer, rating and rating count, installs, price, category, version, description, screenshots and update date. Turn on the review monitor and it remembers which reviews it has already reported, so scheduled runs surface only new reviews and can post them straight to Slack.

Apple is the fast, reliable spine here. It reads Apple's own keyless iTunes JSON API, so those records are complete and the runs are quick. There is no browser to time out, no login, and no residential proxy requirement: both stores answer plain datacenter requests, so you are not paying a proxy surcharge on top of every app.

Who else does this

A few other actors also cover both stores in one run. Being upfront about where we stand (measured 2026-08-09, all public data):

	stores	price	notes
this actor	Apple + Google, one run	$1.00/1,000 apps	keyless, no browser, includes a review monitor with Slack digests
single-store leaders (e.g. Google Play at $0.30/1,000)	one store	cheaper per store	you pay for and run two separate actors to cover both
other both-store actors	Apple + Google, one run	$6–10/1,000 for app detail	richer field counts, default to browser-scale (4 GB) run memory

We are not the cheapest scraper for a single store. The case for this actor is running one job instead of two, and getting a review monitor in the same actor rather than a third one.

What you get per app

Field	Description
store, appId	apple or google, and the Apple trackId or Google package name
name, developer, url	App title, publisher and the canonical store listing URL
price	{ amount, currency, formatted }, Free when the app costs nothing
rating, ratingCount	Average star rating (0 to 5) and how many ratings it has
installs	Google Play install band, e.g. 10,000,000,000+ (Apple does not expose this, so it is null)
category	Primary store category
version, releaseNotes	Current version and its what's-new text
description	Full listing text, HTML stripped
contentRating	Age / content rating, e.g. 4+ or Everyone
screenshots, icon	Up to 8 screenshot URLs and the app icon
releasedAt, updatedAt	First release and last update dates where the store exposes them

Who uses it

• ASO and app marketers tracking their own and competitors' ratings, versions and store copy over time.
• Competitive and market intelligence: pull a whole category of apps for one term and compare ratings, install bands and pricing.
• Product and support teams watching for new one- and two-star reviews the moment they land.
• Investors and analysts sizing traction from install bands, rating counts and update cadence.
• Agents and data pipelines that need app data as clean JSON, over MCP or a scheduled run.

Input

Field	What it does
store	apple (default), google or both
terms	One search per entry, e.g. notion. Searches whichever stores store covers
appIds	Apple trackIds (or App Store URLs) to fetch directly, no search. Used when store includes Apple
packageNames	Google Play package names to fetch directly, e.g. com.whatsapp, no search. Used when store includes Google
country	Two-letter storefront, e.g. us, gb, fr. Affects search results, pricing and reviews
maxResults	Total app records to return across all terms and ids, 1–500
reviewMonitor	Fetch recent reviews per resolved app and return only the ones not seen on previous runs
maxReviewsPerApp	In monitor mode, how many most-recent reviews to pull per app before deduping (Apple caps its feed at about 500)
monitorName	Label for the remembered-reviews set, so different app lists are tracked independently
webhookUrl	In monitor mode, new reviews are posted here as a digest (Slack incoming webhook or any JSON endpoint)

terms, appIds and packageNames can be combined in one run: Apple resolves from appIds plus the search terms, Google from packageNames plus the search terms, and everything lands in the same deduped output up to maxResults. Pass at least one of the three.

Input examples

Look up one app on both stores by name:

{
  "store": "both",
  "terms": ["notion"],
  "maxResults": 10,
  "country": "us"
}

Fetch specific apps directly by id:

{
  "store": "apple",
  "appIds": ["1232780281", "310633997"],
  "country": "us"
}

Fetch Google Play apps directly by package name, no search:

{
  "store": "google",
  "packageNames": ["com.whatsapp", "com.spotify.music"],
  "country": "us"
}

A new-review alert feed for your app (schedule this and point it at Slack):

{
  "store": "apple",
  "appIds": ["1232780281"],
  "reviewMonitor": true,
  "maxReviewsPerApp": 200,
  "webhookUrl": "https://hooks.slack.com/services/XXX/YYY/ZZZ"
}

Output samples

An app record:

{
  "store": "apple",
  "appId": "1232780281",
  "name": "Notion: Notes, Tasks, AI",
  "developer": "Notion Labs, Incorporated",
  "url": "https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281",
  "price": { "amount": 0, "currency": "USD", "formatted": "Free" },
  "rating": 4.78,
  "ratingCount": 87829,
  "installs": null,
  "category": "Productivity",
  "version": "1.7.317",
  "contentRating": "4+",
  "updatedAt": "2026-07-07T18:43:58Z",
  "source": "apps.apple.com"
}

A review record (monitor mode):

{
  "store": "apple",
  "appId": "1232780281",
  "appName": "Notion: Notes, Tasks, AI",
  "reviewId": "14267353065",
  "rating": 3,
  "title": "AI chatbot feature is very buggy",
  "body": "Love the app overall but the new assistant keeps losing context...",
  "author": "Jakobihaskell",
  "appVersion": "1.7.316",
  "source": "apps.apple.com"
}

Review field	Description
reviewId	Stable id used to dedupe across scheduled runs
rating, title, body	Star rating, headline and full review text (Google Play reviews have no title, so it is null there)
author, appVersion	Reviewer name and the app version they reviewed
reviewedAt	When the review was posted (Google Play rows)

Pricing

You pay per app returned and per new review in monitor mode. Apify platform usage is included in the price — nothing is billed to you on top: no separate compute line, no proxy line, no subscription. Bronze, Silver and Gold plans get 10%, 20% and 30% off every per-item event.

Event	Price
Actor start	$0.001 per run
App scraped	$0.001 per app ($1.00 per 1,000)
Review scraped (monitor mode)	$0.0002 per review ($0.20 per 1,000)
Digest sent (monitor mode)	$0.03 per digest

FAQ

Which stores does it cover? Both the Apple App Store and Google Play. Set store to apple, google or both.

Is Google Play as reliable as Apple? No, and this actor is honest about it. Apple exposes a clean public JSON API, so those records are complete and stable. Google Play has no public API, so app data is parsed from the page's server-rendered HTML. That parsing is best-effort: it reads name, developer, rating, rating count, installs, price, category, description, content rating, icon, screenshots and the last-updated date reliably today, but Google can change the page layout at any time. When a field moves, the actor returns null for it instead of failing the run. Note that Google no longer prints an app version on the public page, so that field is usually null on Google Play.

What review coverage do I get? Both stores. Apple reviews come from the most-recent reviews feed (up to about 500 per app). Google Play reviews come from the store's own reviews endpoint, paged newest-first until you have as many as you asked for. Note that Google Play reviews carry no title, so the title field is null on Google rows.

How do I only get new reviews? Turn on reviewMonitor and schedule the actor. It remembers reviews from previous runs (per monitorName) and returns only new ones, and it can post them to a webhook or Slack.

Does it need a proxy? No. Both stores answer plain datacenter requests, so the actor never routes through a proxy — there is no per-GB proxy surcharge on your bill.

Can I use it from an AI agent? Yes. It returns plain JSON and runs headless, so it plugs into agent tools, MCP servers and data pipelines without a browser.

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Something missing?

If you need an extra field, another source, or Google Play reviews, open an issue on this Actor and describe it. I read every request and small additions usually ship within days. More monitors and data Actors are on my profile.

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