# Google Play Reviews Pro API (`zenomastro/google-play-reviews-pro`) Actor

Fast Google Play review scraper with developer replies, app versions, star/date/text/helpfulness filters, app metadata and pay-per-result billing.

- **URL**: https://apify.com/zenomastro/google-play-reviews-pro.md
- **Developed by:** [Rosario Vitale](https://apify.com/zenomastro) (community)
- **Categories:** Marketing, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 1,000 review 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/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 Reviews Pro API

Scrape public Google Play reviews by package ID or Play Store URL. Get review text, rating, author, helpful votes, app version, developer replies, timestamps, and optional app metadata without a Google account, browser, or API key.

### Why this Actor?

The Store has very cheap review scrapers, so this Actor is not built to win by dumping the price. It is designed for cleaner unattended workflows:

- batch up to 50 apps
- newest, relevance, or rating sort
- star-range filters
- minimum helpful-vote filter
- developer-reply filter
- case-insensitive text filter
- reviewed-after / reviewed-before windows
- app metadata row with title, developer, score, installs, price, version, and genre
- duplicate-review suppression
- invalid apps and empty filtered results return free diagnostic rows
- billing only on rows actually emitted
- clean stop at the user's maximum run charge

### Input example

```json
{
  "appIds": ["com.spotify.music", "com.duolingo"],
  "language": "en",
  "country": "us",
  "sortBy": "newest",
  "maxReviewsPerApp": 1000,
  "minScore": 1,
  "maxScore": 3,
  "hasDeveloperReply": "any",
  "reviewedAfter": "2026-09-01",
  "includeAppDetails": true
}
```

### Review output

Each billed review row contains:

- package ID and Google review ID
- reviewer display name and avatar
- 1-5 score
- full review text
- helpful/thumbs-up count
- review timestamp
- app version when exposed
- developer reply and reply timestamp when present
- review permalink

### App metadata

When **Include app metadata** is enabled, one app row is also emitted with title, developer, overall score, ratings/review counts, installs, real/min installs when available, price/currency, current version, and genre.

### Filters and billing

Filters are applied before review rows are billed. If you ask for only 1-2 star reviews containing "crash", reviews outside those filters are scanned but not charged.

Invalid package IDs, apps that cannot be read, and apps with no matching reviews produce a structured `success: false` row and no review-result charge.

### Pricing

Planned Store pricing:

- **Review result:** $0.00020 each — **$0.20 per 1,000 delivered reviews**
- **App details:** $0.001 per successfully emitted app-metadata row
- **Actor start:** $0.00005 minimum start event

This is deliberately above the $0.08-$0.10 ultra-low-cost tools and around the price of richer competitors, while providing advanced pre-billing filters and a richer metadata contract.

### Reliability

Google Play reviews are fetched through the store's public review endpoint using native continuation tokens. No browser or residential proxy is required. Requests are bounded and retried; batches continue when one app fails.

Review availability depends on the selected language/country storefront. A country is the storefront view, not necessarily the reviewer's physical location.

### Limits

- up to 50 unique apps per run
- up to 50,000 emitted reviews per app
- up to 200,000 emitted reviews per run
- public Google Play data only

Use public review data in accordance with applicable platform terms, privacy rules, and local law.

### Support

For a reproducible issue, include the package ID, language/country, filters, and Apify run ID. Never post API tokens or private credentials.

# Actor input Schema

## `appIds` (type: `array`):

Android package IDs or play.google.com app URLs. Maximum 50 unique apps.

## `language` (type: `string`):

Google Play language code such as en, it, de, pt.

## `country` (type: `string`):

Two-letter storefront country such as us, it, de, gb.

## `sortBy` (type: `string`):

Newest, Google Play relevance, or rating order.

## `maxReviewsPerApp` (type: `integer`):

Maximum emitted review rows for each app after filters.

## `maxTotalReviews` (type: `integer`):

Hard cap across all apps to keep spend predictable.

## `minScore` (type: `integer`):

Minimum review score, 1-5.

## `maxScore` (type: `integer`):

Maximum review score, 1-5.

## `minThumbsUp` (type: `integer`):

Only emit reviews with at least this many thumbs-up votes.

## `hasDeveloperReply` (type: `string`):

Return all reviews, only replied reviews, or only unreplied reviews.

## `containsText` (type: `string`):

Optional case-insensitive substring filter. Filtered rows are not charged.

## `reviewedAfter` (type: `string`):

Optional YYYY-MM-DD lower date bound.

## `reviewedBefore` (type: `string`):

Optional YYYY-MM-DD upper date bound.

## `includeAppDetails` (type: `boolean`):

Emit one app-details row with title, developer, score, installs, price, version, genre and rating count.

## `pageDelayMs` (type: `integer`):

Small delay between Google Play review pages to reduce rate limiting.

## Actor input object example

```json
{
  "appIds": [
    "com.spotify.music"
  ],
  "language": "en",
  "country": "us",
  "sortBy": "newest",
  "maxReviewsPerApp": 1000,
  "maxTotalReviews": 10000,
  "minScore": 1,
  "maxScore": 5,
  "minThumbsUp": 0,
  "hasDeveloperReply": "any",
  "containsText": "",
  "reviewedAfter": "",
  "reviewedBefore": "",
  "includeAppDetails": true,
  "pageDelayMs": 150
}
```

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

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("zenomastro/google-play-reviews-pro").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("zenomastro/google-play-reviews-pro").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 '{}' |
apify call zenomastro/google-play-reviews-pro --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zenomastro/google-play-reviews-pro"
        }
    }
}
```

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 <APIFY_API_TOKEN>` 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/bFUiwZJI2HuQlfk0C/builds/dcElMILDJfcmTJX4Y/openapi.json