# Google Play Store App Search Scraper (`scrapapi/google-play-store-app-search-scraper`) Actor
- **URL**: https://apify.com/scrapapi/google-play-store-app-search-scraper.md
- **Developed by:** [ScrapAPI](https://apify.com/scrapapi) (community)
- **Categories:** Automation, Developer tools, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.99 / 1,000 results
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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 Store App Search Scraper
A powerful Apify Actor that scrapes Google Play Store app data including app details, ratings, prices, developer information, and more. Supports bulk scraping with intelligent proxy fallback mechanisms.
### Why Choose Us?
- **Comprehensive Data Extraction**: Get complete app information including title, developer, ratings, price, description, and more
- **Bulk Processing**: Process multiple search terms, URLs, or app IDs in a single run
- **Intelligent Proxy Management**: Automatic fallback from no proxy → datacenter → residential proxy with retry logic
- **Robust Error Handling**: Built-in retry mechanisms and graceful error handling
- **Live Data Saving**: Results are saved immediately as they're scraped
- **Flexible Input**: Supports URLs, app IDs, keywords, and usernames
### Key Features
- ✅ **Multiple Input Types**: Accepts Google Play Store URLs, app IDs (e.g., `com.openai.chatgpt`), keywords, or usernames
- ✅ **Bulk Processing**: Process hundreds of apps in a single run
- ✅ **Smart Proxy Fallback**: Automatically switches proxies if requests are blocked
- ✅ **Detailed Logging**: Real-time progress updates and detailed logs
- ✅ **Structured Output**: Clean, organized JSON data ready for analysis
- ✅ **Rate Limiting**: Built-in delays to respect Google Play Store's rate limits
### Input
#### Input Schema
```json
{
"term": ["chatgpt", "facebook", "https://play.google.com/store/apps/details?id=com.openai.chatgpt"],
"maxItems": 10,
"sortOrder": "relevance",
"proxyConfiguration": {
"useApifyProxy": false
}
}
````
#### Input Fields
| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `term` | Array of strings | Yes | List of search terms. Can be:
- Keywords (e.g., "chatgpt")
- App IDs (e.g., "com.openai.chatgpt")
- Full URLs (e.g., "https://play.google.com/store/apps/details?id=com.openai.chatgpt")
- Usernames |
| `maxItems` | Integer | No | Maximum number of apps to scrape per search term (default: 10, max: 100) |
| `sortOrder` | String | No | Sort order for search results: "relevance", "rating", or "newest" (default: "relevance") |
| `proxyConfiguration` | Object | No | Proxy settings. If not provided, uses direct connection. If blocked, automatically falls back to datacenter, then residential proxy. |
### Output
#### Output Schema
Each scraped app includes the following fields:
```json
{
"title": "ChatGPT",
"appId": "com.openai.chatgpt",
"url": "https://play.google.com/store/apps/details?id=com.openai.chatgpt",
"icon": "https://play-lh.googleusercontent.com/...",
"developer": "OpenAI",
"developerId": "7577165439232992817",
"price": null,
"free": true,
"summary": "The official app by OpenAI",
"scoreText": "4.5",
"score": 4.452436923980713
}
```
#### Output Fields
| Field | Type | Description |
|-------|------|-------------|
| `title` | String | App name |
| `appId` | String | Unique app identifier (package name) |
| `url` | String | Full Google Play Store URL |
| `icon` | String | App icon image URL |
| `developer` | String | Developer/company name |
| `developerId` | String | Developer ID |
| `price` | String or null | App price (null if free) |
| `free` | Boolean | Whether the app is free |
| `summary` | String | App description/summary |
| `scoreText` | String | Rating as text (e.g., "4.5") |
| `score` | Number | Numeric rating score |
### 🚀 How to Use the Actor (via Apify Console)
1. **Log in** at and go to *Actors*
2. **Find** your actor (google-play-store-app-search-scraper) and click it
3. **Configure inputs**:
- Add search terms (keywords, app IDs, or URLs) in the `term` field
- Set `maxItems` to control how many apps to scrape per term
- Optionally configure proxy settings
4. **Run** the actor
5. **Monitor** logs in real time to see progress
6. **Access results** in the OUTPUT tab
7. **Export** results to JSON or CSV
### Best Use Cases
- **Market Research**: Analyze competitor apps and market trends
- **App Discovery**: Find apps by keywords or categories
- **Price Monitoring**: Track app prices over time
- **Developer Analysis**: Research apps by specific developers
- **Rating Analysis**: Collect rating data for analysis
- **Bulk Data Collection**: Scrape hundreds of apps efficiently
### Proxy Configuration
The actor implements intelligent proxy fallback:
1. **Default**: No proxy (direct connection)
2. **If blocked**: Automatically falls back to datacenter proxy
3. **If datacenter fails**: Falls back to residential proxy with 3 retries
4. **Sticky Proxy**: Once fallback occurs, uses the same proxy type for all remaining requests
All proxy events are logged clearly for monitoring.
### Frequently Asked Questions
**Q: Can I scrape apps without providing URLs?**\
A: Yes! You can provide keywords, app IDs, or usernames. The actor will search and find matching apps.
**Q: What happens if a request is blocked?**\
A: The actor automatically switches to a different proxy type (datacenter → residential) and retries up to 3 times.
**Q: How many apps can I scrape in one run?**\
A: There's no hard limit, but `maxItems` per term is capped at 100. You can process multiple terms in a single run.
**Q: Is the data saved in real-time?**\
A: Yes! Results are saved to the dataset immediately as they're scraped, so you won't lose data if the actor stops.
**Q: Can I use my own proxy?**\
A: Yes, you can configure custom proxy settings through the `proxyConfiguration` input field.
### Support and Feedback
For issues, questions, or feedback, please contact support or open an issue in the actor repository.
### Cautions
- Data is collected only from **publicly available sources** on Google Play Store
- No data is taken from private accounts or password-protected content
- The end user is responsible for ensuring legal compliance (spam laws, privacy, data protection, etc.)
- Please respect Google Play Store's Terms of Service and rate limits
- Use responsibly and ethically
# Actor input Schema
## `term` (type: `array`):
✍️ Add one or more search terms.
✅ Supported formats:
• 🔗 Google Play URLs
• 🆔 App IDs (e.g., com.openai.chatgpt)
• 🔎 Keywords
• 👤 Usernames
📚 Bulk input supported for faster scraping.
## `maxItems` (type: `integer`):
🎯 Set how many apps to scrape for each search term.
⚡ Higher values return more results but may take longer.
## `proxyConfiguration` (type: `object`):
🌐 Configure proxy behavior for stable scraping.
➡️ Default: no proxy (direct connection)
🔄 If blocked, actor auto-falls back to:
1. 🏢 Datacenter proxy
2. 🏠 Residential proxy (with up to 3 retries)
✅ Built for better success rate on restricted requests.
## Actor input object example
```json
{
"term": [
"chatgpt",
"facebook"
],
"maxItems": 10,
"proxyConfiguration": {
"useApifyProxy": false
}
}
```
# 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 = {
"term": [
"chatgpt",
"facebook"
],
"proxyConfiguration": {
"useApifyProxy": false
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapapi/google-play-store-app-search-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 = {
"term": [
"chatgpt",
"facebook",
],
"proxyConfiguration": { "useApifyProxy": False },
}
# Run the Actor and wait for it to finish
run = client.actor("scrapapi/google-play-store-app-search-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 '{
"term": [
"chatgpt",
"facebook"
],
"proxyConfiguration": {
"useApifyProxy": false
}
}' |
apify call scrapapi/google-play-store-app-search-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapapi/google-play-store-app-search-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Play Store App Search Scraper",
"version": "0.1",
"x-build-id": "emft6rqtBU2ycSVQB"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapapi~google-play-store-app-search-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapapi-google-play-store-app-search-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapapi~google-play-store-app-search-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapapi-google-play-store-app-search-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapapi~google-play-store-app-search-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapapi-google-play-store-app-search-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"term"
],
"properties": {
"term": {
"title": "🧩 Search Terms (URLs, App IDs, Keywords, Usernames)",
"type": "array",
"description": "✍️ Add one or more search terms.\n\n✅ Supported formats:\n• 🔗 Google Play URLs\n• 🆔 App IDs (e.g., com.openai.chatgpt)\n• 🔎 Keywords\n• 👤 Usernames\n\n📚 Bulk input supported for faster scraping.",
"items": {
"type": "string"
}
},
"maxItems": {
"title": "📊 Maximum Items per Term",
"minimum": 1,
"maximum": 1000,
"type": "integer",
"description": "🎯 Set how many apps to scrape for each search term.\n\n⚡ Higher values return more results but may take longer.",
"default": 10
},
"proxyConfiguration": {
"title": "🛡️ Proxy Configuration",
"type": "object",
"description": "🌐 Configure proxy behavior for stable scraping.\n\n➡️ Default: no proxy (direct connection)\n🔄 If blocked, actor auto-falls back to:\n1) 🏢 Datacenter proxy\n2) 🏠 Residential proxy (with up to 3 retries)\n\n✅ Built for better success rate on restricted requests."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```