Google Play Store App - Full Detail & Reviews

Extract complete Google Play Store app data at scale - every app and game category, and full detail on every app - without touching a browser or writing a single line of scraping code.

What does Google Play Store App Scraper do?

This Actor crawls Google Play Store across all 50 app and game categories, then opens every app it finds to pull complete detail: full description, every screenshot in full resolution, the rating breakdown by star, real user reviews with author name and full text, the complete permissions list, price and in-app purchase range, install count, current chart rank (if any), developer contact info, and similar apps. Run it directly from the Apify Console, on a schedule, or through the Apify API and pull results via integrations with Make, Zapier, Google Sheets and more.

Why use Google Play Store App Scraper?

• App store optimization (ASO) - benchmark your app's description, screenshots and rating against competitors in your category.
• Market research - track which apps dominate top charts by category, country and language over time.
• Review mining - read what real users actually say (not just star averages) to spot feature requests and complaints.
• Lead generation - pull developer contact info (website, email) across an entire category.
• Competitive monitoring - schedule runs to catch price changes, new releases and ranking shifts.

How to use Google Play Store App Scraper

1. Open the Actor's Input tab.
2. Optionally pick specific categories - leave empty to crawl all 50.
3. Set your storefront country and language (defaults to us / en).
4. Click Start and watch results land in the Output tab as they're scraped.
5. Export the dataset as JSON, CSV, Excel, HTML or via the API.

Input

Field	Description	Default
categories	Which category pages to crawl (see the dropdown for all 50). Leave empty for all.	all categories
country	Two-letter Play Store storefront country code (gl), e.g. us, gb, id.	us
language	Language code for scraped text (hl), e.g. en, id, ja.	en
maxAppsPerSource	Cap on apps taken per category page. 0 = take everything Google server-renders on that page.	100
maxReviewsPerApp	Cap on reviews kept per app. 0 = skip reviews.	50
proxyConfiguration	Apify Proxy settings. Not required (no anti-bot encountered), but recommended for large runs.	Apify Proxy on

Output

Each dataset item is one app, for example:

{
  "packageId": "com.whatsapp",
  "title": "WhatsApp Messenger",
  "developer": "WhatsApp LLC",
  "category": "Communication",
  "ratingValue": 4.6,
  "ratingHistogram": { "1": 10698150, "2": 3314744, "3": 8756631, "4": 21752398, "5": 197168225 },
  "installs": "10,000,000,000+",
  "isFree": true,
  "priceFormatted": "Free",
  "reviews": [
    { "author": "Jane Doe", "rating": 4, "text": "Great app overall.", "helpfulCount": 18, "postedAt": "2026-08-16T17:38:49+00:00" }
  ],
  "permissions": [ { "group": "Location", "items": ["precise location (GPS and network-based)"] } ],
  "similarAppIds": ["com.facebook.katana", "com.instagram.android"],
  "url": "https://play.google.com/store/apps/details?id=com.whatsapp&hl=en&gl=us"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel from the Output tab or the API.

Data table

Field	Description
title, summary, description	App name, tagline, full description
iconUrl, featureImageUrl, screenshotUrls	Full-resolution image URLs
category, categoryCode	Category name and Play Store code
developer, developerId, developerUrl, developerWebsite, developerEmail, developerAddress	Developer identity and contact info
ratingValue, ratingText, ratingCount, ratingHistogram	Average rating and full 1-5 star breakdown
installs, installsExact	Install count, text and approximate number
contentRating	Age/content rating
isFree, price, priceCurrency, priceFormatted, inAppPurchaseRange	Pricing
chartRankLabel, chartRank	Current top-chart position, if any
releasedAt, updatedAt, whatsNew	Release date, last update date, release notes
permissions	Full permission list, grouped
reviews	Author, avatar, rating, full text, date, helpful count, app version reviewed
similarAppIds, moreByDeveloperAppIds, relatedAppClusters	Related apps
sourceCategory	Which crawled category first surfaced this app

Pricing / Cost estimation

This Actor is priced at $1.5 per 1,000 apps scraped (pay-per-result), below comparable full-detail-plus-reviews Google Play scrapers on Apify Store (which range up to $2/1,000). Metadata-only or reviews-only scrapers charge less ($0.10-$0.50/1,000) but require running two separate Actors to get the same coverage this one gives you in a single run. Apify's free plan includes monthly platform credit, so small test runs cost nothing.

Tips or advanced options

• Leave categories empty for full coverage on the first run, then narrow to just what you need for scheduled/repeat runs to save compute time.
• The same app is only ever detail-scraped once per run even if it appears in multiple categories (deduplicated automatically); check sourceCategory to see where it was first discovered. Every app also reports its own chartRank/chartRankLabel when it currently has one, so chart leaders are still identifiable without a separate top-charts crawl.
• Set maxReviewsPerApp to 0 if you only need app metadata - this skips nothing else, reviews are just not requested.

FAQ, disclaimers and support

This Actor only extracts publicly visible data from Google Play Store pages that anyone can view in a browser without logging in. It does not access, bypass or attempt to circumvent any login wall, CAPTCHA or paid content. Reviews returned are the batch Google Play itself renders on the app's own page; this Actor does not paginate beyond what Google serves on that page. Google Play's own layout can change over time, which may require an update to this Actor - please report any issue via the Issues tab. Need a custom scraper or a feature this Actor doesn't cover? Reach out and a tailored solution can be built.