# Google Play Reviews Scraper (`prince.sh/google-play-reviews-scraper`) Actor

Scrape Google Play Store app reviews. Get review text, ratings, dates, and reviewer names by app URL or package ID. Perfect for app competitor analysis, user feedback aggregation, sentiment research, and AI training data collection.

- **URL**: https://apify.com/prince.sh/google-play-reviews-scraper.md
- **Developed by:** [Prince Jain](https://apify.com/prince.sh) (community)
- **Categories:** E-commerce, AI
- **Stats:** 2 total users, 1 monthly users, 3.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Reviews Scraper

Scrape Google Play Store app reviews by package ID. Export review text, star ratings, dates, and reviewer names for app competitor analysis and sentiment research.

**Pricing:** $1.00 per 1,000 reviews (pay-per-event, no monthly subscription).

Built by [Prince Jain](https://w.prince.sh/website) · <mail@prince.sh>

### What does this Actor do?

Google Play Reviews Scraper extracts structured data from the web and saves it to a dataset you can download as JSON, CSV, or Excel. It runs on the Apify platform with pay-per-event pricing — you only pay for results you receive.

### Use cases

- Analyze user feedback and ratings for mobile app competitors
- Track review sentiment after app updates and feature launches
- Export structured review data for NLP and dashboard tools

### Input

Configure the run in the Apify Console or via API. See the **Input** tab for all fields and prefill examples.

Optional: add a **Proxy configuration** for sites that require residential IPs.

### Output fields

Each result includes: `author`, `rating`, `body`, `date`, `appId`, `helpfulCount`.

View results in the run's **Dataset** tab or fetch them via the Apify API.

### Pricing

| Event | Price |
|-------|-------|
| Actor start | $0.00005 |
| Result | See store pricing tab |

$1.00 per 1,000 reviews. No platform usage fees with pay-per-event on Apify Store.

### FAQ

**Do I need an API key?** No — this Actor uses public endpoints and does not require third-party API credentials.

**Can I schedule runs?** Yes. Use Apify Schedules to run this Actor hourly, daily, or on a custom cron.

**How do I integrate with my workflow?** Call the Actor via the Apify API, webhooks, or MCP. Results land in an Apify dataset.

### Keywords

Google Play reviews scraper, app store reviews, Android app sentiment, mobile app research

### Author

**Prince Jain** — <https://w.prince.sh/website> · <mail@prince.sh>

Apify Store: `prince.sh/google-play-reviews-scraper`

# Actor input Schema

## `appId` (type: `string`):

Google Play app package ID (e.g., com.netflix.mediaclient).

## `appUrl` (type: `string`):

Full Google Play app URL.

## `maxResults` (type: `integer`):

Max reviews.

## `proxyConfiguration` (type: `object`):

Optional Apify proxy (recommended for anti-bot sites like Trustpilot, Etsy, Glassdoor).

## Actor input object example

```json
{
  "maxResults": 200,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxResults": 200,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("prince.sh/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "maxResults": 200,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("prince.sh/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 '{
  "maxResults": 200,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call prince.sh/google-play-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=prince.sh/google-play-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/sa5lj5JMRd0dizfZo/builds/el3aUAqdNunW3ZAJh/openapi.json