# Google Play App Reviews Scraper (`scrapers_lat/google-play-reviews-scraper`) Actor
Extract user reviews for Android apps from the Google Play Store by package name. Scrape star rating, review text, helpful votes, review date, app version and developer replies, sorted by newest, rating or helpfulness, across 100+ country stores.
- **URL**: https://apify.com/scrapers\_lat/google-play-reviews-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Business, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $8.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
[](https://console.apify.com/actors/CmKbfZL4UXQZTafvJ/input)
## Google Play Reviews Scraper
> Extract user reviews for any Android app on the Google Play Store, with ratings, dates, helpful votes and developer replies across 100+ country stores
13 fields per review
100+ countries coverage
JSON / CSV / Excel output formats
Updated 2026-06-22
### What you get
Each record is a single public review with the user, their star rating, the review text, how many people found it helpful, the version they reviewed, and the developer reply when there is one. Provide one or more package names and the scraper pulls reviews for every app up to your per-app limit.
- **userImage**: avatar URL of the reviewer
- **userName**: display name shown on the review
- **rating**: star rating from 1 to 5
- **text**: full text of the review
- **thumbsUp**: number of users who marked the review helpful
- **reviewCreatedAt**: date and time the review was posted
- **appVersion**: app version the user reviewed, when available
- **replyText**: developer reply to the review, when present
- **replyAt**: date and time of the developer reply, when present
- **appId**: package name of the app the review belongs to
- **reviewId**: stable unique id of the review
- **url**: Google Play page of the app
- **observedAt**: when this review was collected by the scraper
### Who is it for
| Use case | Who benefits |
|---|---|
| Track sentiment after a new app release | Mobile product managers |
| Surface bug reports and feature requests at scale | App developers and QA teams |
| Benchmark your app against competitors | Growth and marketing teams |
| Feed reviews into sentiment or topic models | Data scientists |
| Monitor developer reply coverage and tone | Support and community teams |
### Frequently Asked Questions
**Which countries and languages can I scrape reviews from?**
Set the country code (gl) and language code (hl) to target any Google Play regional store, more than 100 in total. Reviews and the version labels come back in the language of that store, so use country US with language en for English reviews or country BR with language pt for Brazilian Portuguese.
**How many reviews can I get for one app?**
Set the per-app limit with Max Reviews Per App. The scraper pages through the store in batches and keeps going until it reaches your limit or runs out of reviews. Very popular apps expose tens of thousands of reviews, so a high limit returns a deep history.
**Can I sort the reviews?**
Yes. Choose Newest to get the most recent reviews first, Highest rating to start from five-star reviews, or Most helpful to start from the most upvoted ones. Newest is the default and is best for ongoing monitoring.
**Do I get developer replies?**
Yes. When a developer has replied to a review, the reply text and its date are included in the same record. Reviews without a reply leave those two fields empty rather than guessing.
**What happens if an app ID is wrong or has no reviews?**
The scraper writes one record with an error message for that package name and moves on to the next app, so a single bad ID never stops the run. Apps that exist but have no reviews simply return nothing for that app.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Google Play Reviews for Instagram](https://apify.com/scrapers_lat/google-play-reviews-scraper/examples/google-play-reviews-instagram): Pull top Google Play reviews for Instagram by rating with review text, author, date and helpful count.
- [Google Play Reviews for Spotify](https://apify.com/scrapers_lat/google-play-reviews-scraper/examples/google-play-reviews-spotify): Track the newest Google Play reviews for Spotify with star rating, review text, author and date.
- [Google Play Reviews for WhatsApp](https://apify.com/scrapers_lat/google-play-reviews-scraper/examples/google-play-reviews-whatsapp): Scrape the newest Google Play reviews for WhatsApp with rating, text, author, date and helpful count.
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Instagram Profile & Posts Scraper](https://apify.com/scrapers_lat/instagram-scraper): Extract public Instagram profiles and recent posts by username without login.
- [YouTube Scraper](https://apify.com/scrapers_lat/youtube-scraper): Scrape YouTube videos and channels by search query, video URL or channel URL.
- [X (Twitter) Profiles & Tweets Scraper](https://apify.com/scrapers_lat/x-twitter-scraper): Extract public X (Twitter) tweets by tweet ID: text, author, likes, replies, media and timestamps.
- [Reddit Posts & Comments Scraper](https://apify.com/scrapers_lat/reddit-scraper): Extract Reddit posts and comments from subreddits and search results using the public Reddit feeds.
- [TikTok Creative Center Top Ads Scraper](https://apify.com/scrapers_lat/tiktok-creative-center-scraper): Scrape top-performing TikTok ads from the public Creative Center by country, time period and...
- [App Store Reviews Scraper](https://apify.com/scrapers_lat/app-store-reviews-scraper): Extract Apple App Store reviews and ratings for any app by id, URL or search term.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Google Play. It only accesses data that is publicly available on the platform. Use it in accordance with Google Play's terms of service.
# Actor input Schema
## `maxItems` (type: `integer`):
Maximum number of reviews to collect for each app. Optional.
## `appIds` (type: `array`):
Android package names to scrape reviews for. Example: com.whatsapp, com.spotify.music.
## `sort` (type: `string`):
How reviews are ordered. Newest returns the most recent reviews first, Rating returns the highest rated first, Helpfulness returns the most relevant (most upvoted) first.
## `country` (type: `string`):
Two-letter country code for the store region. Affects which reviews are returned.
## `language` (type: `string`):
Two-letter language code for the store region and review interface.
## `proxyConfiguration` (type: `object`):
Optional Apify proxy. Direct datacenter requests normally work for Google Play; enable a proxy only if you hit rate limits.
## Actor input object example
```json
{
"maxItems": 100,
"appIds": [
"com.whatsapp",
"com.spotify.music"
],
"sort": "newest",
"country": "US",
"language": "en",
"proxyConfiguration": {
"useApifyProxy": false
}
}
````
# 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 = {
"maxItems": 100,
"appIds": [
"com.whatsapp",
"com.spotify.music"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/google-play-reviews-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 = {
"maxItems": 100,
"appIds": [
"com.whatsapp",
"com.spotify.music",
],
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/google-play-reviews-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxItems": 100,
"appIds": [
"com.whatsapp",
"com.spotify.music"
]
}' |
apify call scrapers_lat/google-play-reviews-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/google-play-reviews-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Play App Reviews Scraper",
"description": "Extract user reviews for Android apps from the Google Play Store by package name. Scrape star rating, review text, helpful votes, review date, app version and developer replies, sorted by newest, rating or helpfulness, across 100+ country stores.",
"version": "0.1",
"x-build-id": "T5zJDGwKceDaFXQW6"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~google-play-reviews-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-google-play-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~google-play-reviews-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-google-play-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~google-play-reviews-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-google-play-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"appIds"
],
"properties": {
"maxItems": {
"title": "Max Reviews Per App",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of reviews to collect for each app. Optional."
},
"appIds": {
"title": "App IDs (package names)",
"type": "array",
"description": "Android package names to scrape reviews for. Example: com.whatsapp, com.spotify.music.",
"items": {
"type": "string"
}
},
"sort": {
"title": "Sort Order",
"enum": [
"newest",
"rating",
"helpfulness"
],
"type": "string",
"description": "How reviews are ordered. Newest returns the most recent reviews first, Rating returns the highest rated first, Helpfulness returns the most relevant (most upvoted) first.",
"default": "newest"
},
"country": {
"title": "Country (gl)",
"type": "string",
"description": "Two-letter country code for the store region. Affects which reviews are returned.",
"default": "US"
},
"language": {
"title": "Language (hl)",
"type": "string",
"description": "Two-letter language code for the store region and review interface.",
"default": "en"
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Optional Apify proxy. Direct datacenter requests normally work for Google Play; enable a proxy only if you hit rate limits.",
"default": {
"useApifyProxy": false
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```