# Google Play Reviews Scraper — Bulk API (`pleasureful_cormorant/google-play-reviews-api`) Actor

Scrape normalized Google Play reviews from multiple independently configured apps in one reliable API run.

- **URL**: https://apify.com/pleasureful\_cormorant/google-play-reviews-api.md
- **Developed by:** [Lâm Đỗ](https://apify.com/pleasureful_cormorant) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.08 / 1,000 review extracteds

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?

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 — Bulk API

Extract clean, normalized Google Play reviews from multiple apps in one run. Each app keeps its own language, ordering, rating filter, date cutoff, and result limit. One unavailable app does not discard successful results from the rest of the batch.

Built for research teams, app intelligence pipelines, data warehouses, agencies, and developers who need review records through the Apify Console, API, integrations, or scheduled Tasks.

### Quick start

```json
{
  "targets": [
    {
      "app": "com.spotify.music",
      "country": "us",
      "language": "en",
      "sort": "newest",
      "maxReviews": 100
    }
  ]
}
```

`app` accepts a package ID or a full Google Play app URL.

### Multiple apps, independent settings

```json
{
  "targets": [
    {
      "id": "spotify-english",
      "app": "com.spotify.music",
      "language": "en",
      "country": "us",
      "sort": "newest",
      "ratings": [1, 2],
      "maxReviews": 250
    },
    {
      "id": "duolingo-spanish",
      "app": "com.duolingo",
      "language": "es",
      "country": "es",
      "sort": "newest",
      "since": "2026-08-01T00:00:00Z",
      "maxReviews": 100
    }
  ]
}
```

### Review output

The default dataset contains review records only:

```json
{
  "targetId": "spotify-english",
  "reviewId": "source-review-id",
  "appId": "com.spotify.music",
  "country": "us",
  "language": "en",
  "rating": 2,
  "text": "Review text",
  "authorName": "Public author name",
  "reviewDate": "2026-09-01T10:15:00.000Z",
  "thumbsUp": 3,
  "appVersion": "9.0.0",
  "developerReplyText": null,
  "developerReplyDate": null,
  "fetchedAt": "2026-09-03T10:16:00.000Z"
}
```

Unavailable source fields remain `null`; source text is preserved. Status, debug, and billing rows never enter the review dataset.

### Filters and partial results

- `newest` and `relevant` are Google Play orderings.
- `ratings` is an exact local filter. The Actor may scan extra source reviews to find matching ratings.
- `since` is inclusive and requires `sort: "newest"`.
- Filtered targets have a deterministic scan budget: 10× requested output, capped at 5,000 source reviews.
- If that budget is reached first, available matches are returned and `scanLimitReached` is `true` in `RUN_SUMMARY`.
- A source failure affects only that target. The Actor fails only when every target fails.

### Run summary

`RUN_SUMMARY` is stored separately in the default key-value store. It reports canonical app IDs, target status, returned reviews, source rows scanned, requests, retries, filtered rows, scan-limit state, and safe error details. The overall section reports target counts, total reviews, requests, retries, and timestamps.

### Pricing

You pay only for successfully emitted review records: **$0.00008 per review**, equivalent to **$0.08 per 1,000 returned reviews**.

- 10 reviews: $0.0008
- 100 reviews: $0.008
- 1,000 reviews: $0.08

Failed targets, filtered-out source rows, retries, and `RUN_SUMMARY` are not billed as review events.

### Limits

- 1–20 targets per run
- 1–1,000 returned reviews per target
- Three targets processed concurrently
- 1,000 source reviews per request maximum
- No browser or proxy by default
- 90-second deadline per target

Country is request context, not a guarantee of country-exclusive review segmentation. Google Play can return the same review corpus for different country values when language is unchanged.

### API and scheduling

Run the Actor through the Apify API, client libraries, integrations, or an Apify Task. Tasks can be scheduled when recurring exports are useful; this Actor performs fresh extraction and does not maintain monitoring state.

### Data and privacy

The Actor extracts publicly visible Google Play review data. Users are responsible for lawful use, retention, and downstream processing. The Actor does not require Google credentials, private account access, or customer-provided API keys.

Google Play is an unofficial source integration and may change its public response format or availability.

# Actor input Schema

## `targets` (type: `array`):

Each target runs independently. A source failure for one app does not stop successful targets.

## Actor input object example

```json
{
  "targets": [
    {
      "app": "com.spotify.music",
      "country": "us",
      "language": "en",
      "sort": "newest",
      "maxReviews": 10
    }
  ]
}
```

# Actor output Schema

## `reviews` (type: `string`):

Normalized review-only dataset.

## `runSummary` (type: `string`):

Per-target status, scan, retry, and partial-result details.

# 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 = {
    "targets": [
        {
            "app": "com.spotify.music",
            "country": "us",
            "language": "en",
            "sort": "newest",
            "maxReviews": 10
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("pleasureful_cormorant/google-play-reviews-api").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 = { "targets": [{
            "app": "com.spotify.music",
            "country": "us",
            "language": "en",
            "sort": "newest",
            "maxReviews": 10,
        }] }

# Run the Actor and wait for it to finish
run = client.actor("pleasureful_cormorant/google-play-reviews-api").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 '{
  "targets": [
    {
      "app": "com.spotify.music",
      "country": "us",
      "language": "en",
      "sort": "newest",
      "maxReviews": 10
    }
  ]
}' |
apify call pleasureful_cormorant/google-play-reviews-api --silent --output-dataset

```

## MCP server setup

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

```

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/qukMpPKKA3x4d2E8O/builds/b1a4Wcpa64bWyeVsm/openapi.json