# Google Play App Search & Reviews Scraper (`herus13/google-play-reviews-scraper`) Actor
Search Google Play for apps by keyword and scrape their reviews — rating, text, author, dev replies, app version. Two input modes: keyword search or direct package IDs/URLs. No login, no anti-bot handling needed.
- **URL**: https://apify.com/herus13/google-play-reviews-scraper.md
- **Developed by:** [bootforge](https://apify.com/herus13) (community)
- **Categories:** Lead generation, Automation, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.50 / 1,000 app reviews
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/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
## Google Play App Search & Reviews Scraper
Search Google Play for apps by keyword, or provide package IDs/URLs directly, and scrape their reviews — rating, review text, author, thumbs-up count, developer replies, and app version at time of review.
### Input
- **App IDs or URLs** — direct package IDs (`com.spotify.music`) or full Play Store URLs.
- **Search Queries** — keywords; the actor resolves matching apps first, then scrapes their reviews.
- Filter by star rating, date range, and sort order (most relevant / newest / by rating).
### Output
One dataset row per review: `review_id`, `app_id`, `author_name`, `author_avatar_url`, `rating`, `text`, `thumbs_up_count`, `review_date`, `app_version`, `dev_reply_text`, `dev_reply_date`, `scraped_at`. When using Search Queries, matched apps are also pushed as rows with `app_id`, `title`, `developer`, `icon_url`, `rating`, `installs`, `is_free`, `price`, `category`, `url`, `scraped_at`.
### Pricing
Pay-per-event: a small per-run fee, a per-app-search-result charge, and a per-review charge. See the Monetization tab for current pricing.
### Notes
Google Play's public search and review endpoints require no login and no anti-bot handling — this actor is HTTP-only (no browser), so runs are fast and proxy is optional (recommended only for scale or country-specific results).
# Actor input Schema
## `app_ids` (type: `array`):
Play Store package IDs or full URLs.
Examples: com.spotify.music, https://play.google.com/store/apps/details?id=com.spotify.music
## `search_queries` (type: `array`):
Keywords to search Google Play; the scraper resolves each into apps, then scrapes their reviews.
Example: meditation app
## `max_apps_per_search` (type: `integer`):
Cap on how many apps to take from each search query's results.
## `max_reviews_per_app` (type: `integer`):
Cap on how many reviews to scrape per app.
## `sort` (type: `string`):
Order reviews are returned in: most relevant, newest first, or by rating.
## `rating_filter` (type: `array`):
Only keep reviews with these star ratings (1-5). Leave empty for all ratings.
## `date_from` (type: `string`):
Only keep reviews on/after this date (YYYY-MM-DD). Works best with Sort = Newest.
## `date_to` (type: `string`):
Only keep reviews on/before this date (YYYY-MM-DD).
## `country` (type: `string`):
Play Store country code (affects which apps/reviews are visible).
## `language` (type: `string`):
Play Store language code.
## `transport` (type: `string`):
HTTP engine used to fetch pages. Auto uses curl_cffi.
## `proxy` (type: `object`):
Optional — Google Play's search and reviews endpoints have no known anti-bot layer, so a proxy is not required for correctness, only for scale/geo-accuracy.
## Actor input object example
```json
{
"app_ids": [
"com.spotify.music"
],
"max_apps_per_search": 10,
"max_reviews_per_app": 200,
"sort": "most_relevant",
"country": "us",
"language": "en",
"transport": "auto"
}
````
# Actor output Schema
## `results` (type: `string`):
App search results and reviews for each requested/discovered app
# 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 = {
"app_ids": [
"com.spotify.music"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("herus13/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 = { "app_ids": ["com.spotify.music"] }
# Run the Actor and wait for it to finish
run = client.actor("herus13/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 '{
"app_ids": [
"com.spotify.music"
]
}' |
apify call herus13/google-play-reviews-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=herus13/google-play-reviews-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Play App Search & Reviews Scraper",
"description": "Search Google Play for apps by keyword and scrape their reviews — rating, text, author, dev replies, app version. Two input modes: keyword search or direct package IDs/URLs. No login, no anti-bot handling needed.",
"version": "0.1",
"x-build-id": "Rl7Tlhu1wt0KTCGKp"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/herus13~google-play-reviews-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-herus13-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/herus13~google-play-reviews-scraper/runs": {
"post": {
"operationId": "runs-sync-herus13-google-play-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/herus13~google-play-reviews-scraper/run-sync": {
"post": {
"operationId": "run-sync-herus13-google-play-reviews-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"app_ids": {
"title": "App IDs or URLs",
"type": "array",
"description": "Play Store package IDs or full URLs.
Examples: com.spotify.music, https://play.google.com/store/apps/details?id=com.spotify.music
",
"items": {
"type": "string"
}
},
"search_queries": {
"title": "Search Queries",
"type": "array",
"description": "Keywords to search Google Play; the scraper resolves each into apps, then scrapes their reviews.
Example: meditation app
",
"items": {
"type": "string"
}
},
"max_apps_per_search": {
"title": "Max Apps Per Search Query",
"minimum": 1,
"maximum": 250,
"type": "integer",
"description": "Cap on how many apps to take from each search query's results.",
"default": 10
},
"max_reviews_per_app": {
"title": "Max Reviews Per App",
"minimum": 1,
"maximum": 50000,
"type": "integer",
"description": "Cap on how many reviews to scrape per app.",
"default": 200
},
"sort": {
"title": "Review Sort Order",
"enum": [
"most_relevant",
"newest",
"rating"
],
"type": "string",
"description": "Order reviews are returned in: most relevant, newest first, or by rating.",
"default": "most_relevant"
},
"rating_filter": {
"title": "Rating Filter",
"uniqueItems": true,
"type": "array",
"description": "Only keep reviews with these star ratings (1-5). Leave empty for all ratings.",
"items": {
"type": "string",
"enum": [
"1",
"2",
"3",
"4",
"5"
]
}
},
"date_from": {
"title": "Reviews From Date",
"type": "string",
"description": "Only keep reviews on/after this date (YYYY-MM-DD). Works best with Sort = Newest."
},
"date_to": {
"title": "Reviews To Date",
"type": "string",
"description": "Only keep reviews on/before this date (YYYY-MM-DD)."
},
"country": {
"title": "Country",
"type": "string",
"description": "Play Store country code (affects which apps/reviews are visible).",
"default": "us"
},
"language": {
"title": "Language",
"type": "string",
"description": "Play Store language code.",
"default": "en"
},
"transport": {
"title": "Transport",
"enum": [
"auto",
"curl_cffi",
"httpx",
"primp"
],
"type": "string",
"description": "HTTP engine used to fetch pages. Auto uses curl_cffi.",
"default": "auto"
},
"proxy": {
"title": "Proxy Configuration",
"type": "object",
"description": "Optional — Google Play's search and reviews endpoints have no known anti-bot layer, so a proxy is not required for correctness, only for scale/geo-accuracy.
"
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```