Google Play Reviews Scraper & Insights: Ratings, Complaints & Trends

Scrape Google Play Store reviews for any Android app, in any country and language, and get a ready-made review analysis in the same run: rating distribution, rating by app version, monthly trend, top complaint themes with example quotes, developer reply rate and the most-used words in 1–2★ reviews.

Most Google Play review scrapers give you raw rows and leave the analysis to you. This one gives you the raw reviews and a one-row summary per app × country that you can paste into a report, a spreadsheet or an LLM prompt.

• ✅ Input by Play Store URL, package name (com.spotify.music) or plain app name ("Spotify")
• ✅ Up to 5,000 reviews per app per country per run, sorted by newest, most relevant or rating
• ✅ Filters: star ratings (e.g. only 1–2★), keywords, last N days
• ✅ Developer replies included (reply text, reply date, reply rate, median reply time)
• ✅ No login, no cookies, no browser, no proxy setup
• ✅ Same report format as our App Store Reviews Scraper & Insights, so you can compare iOS vs Android side by side
• ✅ Pay per result, no monthly fee

Table of contents

• What you get
• Use cases
• Input
• Sample output
• Pricing and cost examples
• How to run it
• How to find an app's package name
• Scheduling and alerts
• FAQ
• Limits

What you get

For every app × country, one summary row:

Field	Meaning
appName, developer, genre, price, installs, currentVersion, lastUpdated	From the app's Google Play page
storeAverageRating, storeRatingCount, storeReviewCount, storeRatingHistogram	Google Play's all-time star rating, rating count, written-review count and 1–5★ histogram
reviewsFetched, fetchedAverageRating	How many reviews were analysed and their average rating
ratingDistribution, negativeShare	1–5★ counts in the analysed reviews and the share of 1–2★
ratingByVersion	Average rating per app version, so you can spot the release that broke things
ratingByMonth	Monthly review count and average rating
complaintThemes	Crashes/bugs, login/account, pricing/subscription, ads, performance, sync/data loss, bad update/UI, support, notifications: counts, share of negative reviews and an example quote
topNegativeTerms, topNegativePhrases	Most frequent words and two-word phrases in 1–2★ reviews
developerReplyRate, developerReplyRateNegative, medianReplyDays	How often (and how fast) the developer answers reviews, overall and for 1–2★
mostHelpfulNegative	The 3 most up-voted critical reviews

Optionally, every individual review as its own row (type: "review"): reviewId, text, rating, version, author, date, voteSum (thumbs-up), developerReply, developerReplyDate.

The dataset has two ready-made views in the Console: App summaries and Reviews. Export either to CSV, Excel, JSON or HTML.

Use cases

• Competitor research: find what users hate about the top apps in your category before you build.
• Product and QA teams: catch a bad release within days with ratingByVersion and recentDays.
• Support / CX teams: measure your developer reply rate and reply speed against competitors.
• ASO and app marketing agencies: monthly Android + iOS review reports for clients.
• AI agents and LLM workflows: hand a model a compact structured digest instead of thousands of raw reviews.

Input

Field	Type	Default	Description
apps	array	–	Play Store URLs, package names or plain app names
countries	array	["us"]	Two-letter country codes (us, gb, de, in, br, jp…)
language	string	"en"	Review language code (en, de, es, fr, pt, ja…)
sortBy	string	"newest"	newest, mostRelevant or rating
maxReviewsPerCountry	integer	200	1–5,000 per app per country
includeReviews	boolean	true	Also save every review as its own row. Turn off to pay only for summaries
ratingFilter	array	all	Only these star ratings, e.g. ["1","2"]
keywords	array	[]	Only reviews containing any of these words
recentDays	integer	0	Only reviews from the last N days (0 = no limit)

Example: one app by URL, newest 1,000 reviews

{
  "apps": ["https://play.google.com/store/apps/details?id=com.duolingo"],
  "countries": ["us"],
  "maxReviewsPerCountry": 1000
}

Example: complaints of the last 30 days for two competitors, by name

{
  "apps": ["Spotify", "com.pandora.android"],
  "countries": ["us", "gb"],
  "ratingFilter": ["1", "2"],
  "recentDays": 30,
  "maxReviewsPerCountry": 500
}

Example: keyword search inside reviews

{
  "apps": ["com.duolingo"],
  "keywords": ["streak", "energy", "hearts"],
  "maxReviewsPerCountry": 300
}

Sample output

Real output from a test run on 2026-10-31 (Spotify, US, 1–2★ reviews of the last 30 days), shortened:

{
  "type": "summary",
  "appId": "com.spotify.music",
  "country": "us",
  "appName": "Spotify: Music and Podcasts",
  "developer": "Spotify AB",
  "installs": "1,000,000,000+",
  "storeAverageRating": 4.349,
  "storeRatingCount": 36568824,
  "reviewsFetched": 200,
  "ratingDistribution": {"1": 161, "2": 39, "3": 0, "4": 0, "5": 0},
  "developerReplyRate": 0.305,
  "medianReplyDays": 0.2,
  "ratingByVersion": [
    {"version": "9.1.94.1929", "reviews": 86, "avgRating": 1.23},
    {"version": "9.1.92.3058", "reviews": 42, "avgRating": 1.24}
  ],
  "complaintThemes": [
    {"theme": "pricing_subscription", "negativeReviews": 58, "shareOfNegative": 0.29, "example": "I used to love this app, ads and all. Now it feels completely money-hungry…"},
    {"theme": "ads", "negativeReviews": 46, "shareOfNegative": 0.23, "example": "…"}
  ],
  "topNegativeTerms": [{"term": "songs", "reviews": 46}, {"term": "ads", "reviews": 43}, {"term": "music", "reviews": 38}]
}

{
  "type": "review",
  "appId": "com.spotify.music",
  "country": "us",
  "reviewId": "e5171e14-fdc9-4466-bdd1-c6ccfe902f89",
  "text": "a lot of glitch nd its slow u should fix this soon",
  "rating": 1,
  "author": "(user name)",
  "date": "2026-10-30T15:35:01",
  "voteSum": 0,
  "developerReply": "Hi. Thanks for leaving us a review. We suggest reinstalling the app for a quick fix…",
  "developerReplyDate": "2026-10-30T19:13:05"
}

Pricing and cost examples

Pay per event, no subscription:

• App report: $0.02 per app × country summary
• Review: $0.0003 per individual review row (only when includeReviews is on)

Job	Events	Approx. cost
1 app, 1 country, 1,000 reviews + summary	1 report + 1,000 reviews	$0.32
5 competitors, 1 country, summaries only (analysis of 500 reviews each)	5 reports	$0.10
1 app, 10 countries, summaries only	10 reports	$0.20

Tip: with includeReviews: false you still get the full analysis of every fetched review, and you pay only for the summary rows.

Apify's free plan includes monthly platform credit, so you can try it without paying.

How to run it

Apify Console (no code): open the Actor, paste a Google Play link into Apps, click Start, then download the results as CSV/Excel/JSON.

API (cURL), run and get results in one call:

curl -X POST "https://api.apify.com/v2/acts/tanlabs~google-play-review-insights/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"apps":["com.duolingo"],"countries":["us"],"maxReviewsPerCountry":300,"includeReviews":false}'

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("tanlabs/google-play-review-insights").call(run_input={
    "apps": ["https://play.google.com/store/apps/details?id=com.spotify.music"],
    "countries": ["us", "gb"],
    "maxReviewsPerCountry": 500,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    if item["type"] == "summary":
        print(item["appName"], item["country"], item["fetchedAverageRating"], item["complaintThemes"][:3])

JavaScript / Node.js:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('tanlabs/google-play-review-insights').call({ apps: ['Duolingo'], countries: ['us'] });
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.filter((i) => i.type === 'summary'));

AI agents (MCP): add Apify's MCP server with this Actor, e.g. https://mcp.apify.com/?actors=tanlabs/google-play-review-insights, then ask Claude, Cursor or another MCP client things like "What are Android users complaining about in Duolingo this month?"

How to find an app's package name

Open the app on play.google.com. The package name is the part after id= in the URL: https://play.google.com/store/apps/details?id=com.supercell.brawlstars. You can also paste the whole URL or just the app name.

Scheduling and alerts

• Create an Apify Schedule (daily or weekly) with sortBy: newest and recentDays: 7 to build a review history.
• Add a webhook or the Zapier, Make or n8n integration to send each new summary to Slack, Google Sheets or email.
• Watch negativeShare and ratingByVersion after every release.

FAQ

Do I need a Google account or API key? No. The Actor reads public Google Play pages, which need no login.

How many reviews can I get? Up to 5,000 per app per country per run. For more, split by country or run on a schedule with recentDays.

Can I use app names? Yes. Names resolve to the first app on Google Play's search page (the same one a person sees first). URLs and package names are exact.

Why do some reviews have no version? Google Play only shows the app version when the reviewer's device reported it.

How are complaint themes detected? With keyword rules for the most common app complaint types, applied to 1–2★ reviews (English works best). Each theme comes with counts and a real example quote so you can check it.

Can I compare iOS and Android? Yes. Run App Store Review Insights with the same app. Both Actors use the same summary fields.

Is scraping Google Play reviews legal? The Actor reads publicly available reviews. You are responsible for how you use the data. Reviewer names are personal data, so treat them according to the privacy law that applies to you (e.g. GDPR).

Limits

• Google Play sometimes returns fewer reviews than requested for small apps or rare languages.
• Review text is returned as Google provides it (no translation). Theme detection is tuned for English.
• Not affiliated with Google.

Support

Questions or feature requests: open an issue on the Actor's Issues tab.

More from TanLabs

• App Store Reviews Scraper & Insights (iOS)
• App Store Ranking Tracker: Top Charts & Daily Movers
• AI Search Readiness Audit (GEO/AEO) + llms.txt generator
• OG Image & Open Graph Checker (Social Preview, X Card)