# Google Play Store Scraper: Apps, Reviews & Top Charts (`labrat011/google-play-scraper`) Actor
Scrape Google Play: search apps, full app details (installs, ratings histogram, developer contact, version), unlimited reviews with star and date filters, and Top Free, Paid and Grossing charts by category. Any country and language. No API key.
- **URL**: https://apify.com/labrat011/google-play-scraper.md
- **Developed by:** [mick\_](https://apify.com/labrat011) (community)
- **Categories:** SEO tools, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.00 / 1,000 app details
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event
## What's an Apify Actor?
An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.
For examples already wired to this Actor's own input schema, see the [API](#api) section below.
Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).
# README
## Google Play Store Scraper: Apps, Reviews & Top Charts
Scrape Google Play in any country and language: search apps by keyword, get full details for any app, pull **thousands of reviews per app** with star and date filters, or read the **Top Free, Top Paid and Top Grossing charts** for any category. No API key, no login.
| At a glance | |
|---|---|
| **You give it** | Search terms, app IDs or a chart and category, plus country and language |
| **You get** | One row per app (installs, ratings histogram, developer contact, version) and optionally per review |
| **Price** | $0.005 per run + $0.002 per app + $0.00098 per review (Free plan, lower on paid plans) |
| **Speed** | 1,416 reviews in about 11 seconds |
| **Needs** | Nothing: no login, no API key, no proxy |
### What you get
- **Four modes:** keyword search, app details by ID or link, reviews only, top charts.
- **Top charts** for all apps, all games, or any of 49 categories (Productivity, Finance, Puzzle games...), up to 200 ranks, with `chartRank` on every row.
- **Reviews without a small cap.** Google Play pages through reviews freely: 1,416 WhatsApp reviews from the last day came back in 11 seconds.
- **Review filters:** star ratings (for example only 1 and 2 stars), newest, most relevant or by rating, and a `reviewsSince` date for daily syncs that stop as soon as they reach older reviews.
- **40+ app fields:** installs (range and real count), rating and rating count, ratings histogram, price and in-app purchases, ads, genre, content rating, version, release and update dates, what's new, **developer email, website and address**, privacy policy, icon, screenshots, video.
- **Any country and language,** several countries per run.
- **Cheap to run:** 50 reviews used $0.0004 of platform usage.
In a side-by-side test, this actor returned the same Top Grossing Games chart in the same order as a popular alternative, with identical ratings, installs and developer emails.
### Use cases
- **App store optimization.** Who ranks for your keywords and how their ratings compare.
- **Review mining.** Every 1-star review for a competitor, with the app version, to find what users hate.
- **Chart tracking.** Snapshot Top Grossing Games daily and watch who climbs.
- **Lead generation.** Developer emails and websites for every app in a category chart.
- **Sentiment and AI analysis.** Clean review text with rating, date, version and developer replies.
- **Release monitoring.** Catch competitors' new versions and their "what's new" text.
### Example inputs
#### Top Grossing Games, US and Germany
```json
{ "mode": "charts", "chart": "top-grossing", "category": "GAME", "countries": ["us", "de"], "maxAppsPerQuery": 50 }
```
#### Every new 1 and 2 star review since yesterday
```json
{ "mode": "reviews", "appIds": ["com.whatsapp"], "reviewRatings": ["1", "2"], "reviewsSince": "2026-09-25", "maxReviewsPerApp": 5000 }
```
#### Search with reviews
```json
{ "mode": "search", "searchTerms": ["habit tracker"], "maxAppsPerQuery": 10, "includeReviews": true, "maxReviewsPerApp": 50 }
```
#### Developer contacts for a category chart
```json
{ "mode": "charts", "chart": "top-free", "category": "FINANCE", "maxAppsPerQuery": 200 }
```
### Output
Each row has a `type`: `app` or `review`. The **Apps** and **Reviews** tabs split them. Real rows from a test run on 2026-09-26 (long text shortened here):
#### App
```json
{
"type": "app",
"appId": "com.scopely.monopolygo",
"title": "MONOPOLY GO!",
"url": "https://play.google.com/store/apps/details?id=com.scopely.monopolygo&hl=en&gl=us",
"country": "us",
"language": "en",
"summary": "Roll the dice & rule the board! Play MONOPOLY GO! with family & friends.",
"description": "Hit GO! Roll the dice! Earn MONOPOLY money, interact with your friends, family members and fellow Tycoons from around the world as you explore the expanding uni...",
"developer": "Scopely",
"developerId": "9028773071151690823",
"developerEmail": "support@scopely.com",
"developerWebsite": "https://support.monopolygo.com/",
"developerAddress": null,
"privacyPolicy": "https://scopely.com/privacy/",
"score": 4.597,
"ratings": 3223518,
"reviews": 316563,
"histogram": {
"1": 157953,
"2": 47396,
"3": 94504,
"4": 334492,
"5": 2589163
},
"installs": "100,000,000+",
"minInstalls": 100000000,
"realInstalls": 130593227,
"free": true,
"price": 0,
"currency": "USD",
"offersIAP": true,
"inAppProductPrice": "$0.99 - $199.99 per item",
"containsAds": false,
"genre": "Board",
"genreId": "GAME_BOARD",
"categories": [
"Board",
"Abstract strategy",
"Casual",
"Multiplayer",
"Competitive multiplayer",
"Competitive",
"City"
],
"contentRating": "Everyone",
"released": "Apr 11, 2023",
"lastUpdated": "Sep 21, 2026",
"version": "1.77.1",
"recentChanges": "",
"icon": "https://play-lh.googleusercontent.com/AUGFPG5XqzHukTUDH2mcdOTpEwlDmZ5hUuWPXwu9IcvcyaBTwhV2WJeKKFAj_UA2m05ZxPgJuhrllXIqlW0i",
"headerImage": "https://play-lh.googleusercontent.com/GoMgqxehn9nWe4zexp6vDkVvcHCDwavAdNe25zcliNGSqDjwAZ8jaQGWzwcjWXHqwLo1UQB5XGCuQ1-xIMbGKA",
"screenshots": [
"https://play-lh.googleusercontent.com/W7W9i-KrZFiBv-gBjhDhYSjkpq8tGL9lX8TdE320ZMD2jN16vwEbIMfORnRIDrHUqDkxx7RJCCqUiNFerupMtw"
],
"video": "https://www.youtube.com/embed/ycb_N2qVkDM?vq=large&rel=0&autohide=1&showinfo=0",
"chart": "top-grossing / GAME",
"chartRank": 1,
"searchTerm": null
}
```
#### Review
```json
{
"type": "review",
"reviewId": "82741a04-a66d-4ad8-8421-3edb10f0dcb9",
"appId": "com.whatsapp",
"appTitle": "WhatsApp Messenger",
"country": "us",
"rating": 1,
"text": "harshini 😌😔🥺😊😇☺️😊😉😊😉😇🫴🫳✌️🫲🫴🫲😲😯🤓😯😳🤓🥴😕😕😵😵💫🤓😎🤓🤯🤕😁😅😊😆🥰🤒😌😔🙄🤥🤥🙂↕️😮💨😮💨🤤😮💨😮💨🤤🙂↔️🙂↔️🤤🙂↔️😴😴😴🙂↔️🙂↔️😮💨🙂↕️🤥😷",
"date": "2026-09-25T16:46:15",
"userName": "Chandrasekar Chandra",
"thumbsUp": 0,
"appVersion": "2.26.37.73",
"replyText": null,
"replyDate": null
}
```
### Pricing
Pay per event:
- **$0.005** per run start
- **$0.002** per app
- **$0.00098** per review
Lower on higher Apify plans. Apify platform usage is billed separately to your account and is tiny: 50 reviews used $0.0004.
| What you scrape | Actor cost |
|---|---|
| Top 100 chart | about $0.21 |
| 1 app + 1,000 reviews | about $0.99 |
| 30 search results | about $0.065 |
### Automate it with n8n
Each workflow uses n8n's official **Apify** node, operation **Run actor and get dataset**, actor `labrat011/google-play-scraper`. Paste the input into **Input JSON**; switch it to **Expression** when it contains `{{ }}`.
#### 1. Daily bad-review alert for your app
```
Schedule Trigger (daily 08:00)
> Apify: Run actor and get dataset
{ "mode": "reviews", "appIds": ["your.app.id"], "reviewRatings": ["1", "2"], "reviewsSince": "{{ $now.minus({ days: 1 }).toISODate() }}", "maxReviewsPerApp": 1000 }
> Slack: "{{ $json.rating }} stars on {{ $json.appVersion }}: {{ $json.text }}"
```
#### 2. Chart tracker in Google Sheets
```
Schedule Trigger (daily)
> Apify: Run actor and get dataset { "mode": "charts", "chart": "top-grossing", "category": "GAME", "maxAppsPerQuery": 100 }
> Set: add today's date
> Google Sheets: Append rows (date, chartRank, title, developer, score, installs)
```
#### 3. Developer lead list
```
Manual Trigger
> Apify: Run actor and get dataset { "mode": "charts", "chart": "top-free", "category": "HEALTH_AND_FITNESS", "maxAppsPerQuery": 200 }
> Filter: developerEmail is not empty
> HubSpot / Google Sheets: developer, developerEmail, developerWebsite, installs
```
#### 4. Weekly competitor complaint report, written by AI
```
Schedule Trigger (weekly)
> Apify: Run actor and get dataset (mode reviews, competitor app IDs, ratings 1-2, last 7 days)
> Aggregate: review texts
> OpenAI / Anthropic: "Top 5 complaints with counts and one quote each"
> Gmail: send to the product team
```
#### 5. Release watch
```
Schedule Trigger (daily)
> Apify: Run actor and get dataset (mode apps, competitor IDs)
> Compare with yesterday's version (stored in a Sheet or Data Table)
> Slack: "X shipped {{ $json.version }}: {{ $json.recentChanges }}"
```
### For AI agents
- **Actor:** `labrat011/google-play-scraper`
- **Smallest input:** `{ "searchTerms": ["habit tracker"] }`
- **One row = one app (`type: "app"`) or one review (`type: "review"`).** Key fields: apps: `appId`, `title`, `score`, `installs`, `developer`, `developerEmail`; reviews: `reviewId`, `appId`, `rating`, `text`, `date`.
- **Billing:** `apify-actor-start` once per run, `app-detail` per app row, `review` per review row. Cap spend with `maxAppsPerQuery`, `maxReviewsPerApp` or a maximum cost per run.
- **Run it:** `POST https://api.apify.com/v2/acts/labrat011~google-play-scraper/run-sync-get-dataset-items` with the input as the JSON body, or call it from the Apify MCP server.
- **Done signal:** the run's status message reads `Saved N apps and M reviews.`
### FAQ
**Where do I find an app ID?** It is the `id=` part of the Play Store link: `play.google.com/store/apps/details?id=com.whatsapp`. You can paste the whole link.
**Why do some apps show "Varies with device" as the version?** That is what Google Play itself shows for apps with several builds.
**Do I need a proxy?** No.
### Credits
App details, reviews and search use the MIT-licensed [google-play-scraper](https://github.com/JoMingyu/google-play-scraper) Python library. The chart request follows the MIT-licensed [google-play-scraper](https://github.com/facundoolano/google-play-scraper) Node library.
### Support
Open an issue on the actor's Issues tab with the run ID and it will be looked at.
# Changelog
This Actor's version history is a separate document: https://apify.com/labrat011/google-play-scraper/changelog.md
# Actor input Schema
## `mode` (type: `string`):
Search: apps for keywords. Apps: details for app IDs. Reviews: only reviews for app IDs. Charts: a Google Play top chart.
## `searchTerms` (type: `array`):
One per line.
## `appIds` (type: `array`):
Package names like com.whatsapp, or Play Store links.
## `chart` (type: `string`):
Which top chart.
## `category` (type: `string`):
APPLICATION is all apps, GAME is all games; or one category.
## `countries` (type: `array`):
Two-letter codes: us, gb, de, in, br... Each country is scraped separately.
## `language` (type: `string`):
Two-letter language for app text and reviews: en, de, es...
## `maxAppsPerQuery` (type: `integer`):
Search returns up to 30 per term; charts up to 200.
## `includeReviews` (type: `boolean`):
Also fetch reviews for every app found. Always on in Reviews mode.
## `maxReviewsPerApp` (type: `integer`):
No hard cap from Google Play; thousands are fine.
## `reviewSort` (type: `string`):
Newest works with Reviews since for daily syncs.
## `reviewRatings` (type: `array`):
Leave empty for all.
## `reviewsSince` (type: `string`):
A date like 2026-09-01. With Newest order, paging stops at the first older review.
## Actor input object example
```json
{
"mode": "search",
"searchTerms": [
"habit tracker"
],
"appIds": [
"com.whatsapp"
],
"chart": "top-free",
"category": "APPLICATION",
"countries": [
"us"
],
"language": "en",
"maxAppsPerQuery": 10,
"includeReviews": false,
"maxReviewsPerApp": 100,
"reviewSort": "newest"
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchTerms": [
"habit tracker"
],
"countries": [
"us"
],
"maxAppsPerQuery": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("labrat011/google-play-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"searchTerms": ["habit tracker"],
"countries": ["us"],
"maxAppsPerQuery": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("labrat011/google-play-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchTerms": [
"habit tracker"
],
"countries": [
"us"
],
"maxAppsPerQuery": 10
}' |
apify call labrat011/google-play-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,labrat011/google-play-scraper"
}
}
}
```
The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/wyM1wli5yjEGRkTlt/builds/a4ZlPSfFoA6IvkBu1/openapi.json