# Google Play Reviews Scraper: By Country, Rating, Date & Keyword (`spellzcode/google-play-reviews`) Actor

Get reviews of any Android app on Google Play: star rating, text, date, likes, app version and the developer's reply. Choose countries and language, sort by newest, most relevant or rating, and filter by stars, date and keywords. Thousands of reviews per app. $0.10 per 1,000 reviews.

- **URL**: https://apify.com/spellzcode/google-play-reviews.md
- **Developed by:** [Mårten Fitzback](https://apify.com/spellzcode) (community)
- **Categories:** Developer tools, E-commerce, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.07 / 1,000 review returneds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Scraper: By Country, Rating, Date & Keyword

Collect the reviews of any Android app on Google Play in one table: star rating, review text, date, how many people found it helpful, the app version it was written for, and the developer's reply.

Choose countries and the review language, sort by newest, most relevant or rating, and filter by stars, date and keywords. Unlike the App Store (which only shows 500 recent reviews), Google Play lets you go back through thousands of reviews per app.

**You pay only for reviews returned**, after your filters. Apps that are not found cost nothing.

### What you get for each review

| Field | What it is |
|---|---|
| `rating` | 1 to 5 stars |
| `text` | The review text |
| `date` | When it was written (UTC) |
| `thumbsUp` | How many people marked it helpful |
| `appVersion` | The app version the reviewer had |
| `replyText`, `replyDate` | The developer's public reply, if any |
| `userName`, `reviewId`, `url` | Reviewer's display name, review id and a link |
| `appId`, `appName`, `appAverageRating` | The app |
| `country`, `language` | Which store and language were searched |

### Input

```json
{
  "apps": ["https://play.google.com/store/apps/details?id=com.spotify.music", "com.whatsapp"],
  "countries": ["us", "gb"],
  "language": "en",
  "sort": "newest",
  "maxReviewsPerApp": 1000,
  "minRating": 1,
  "maxRating": 2,
  "postedWithinDays": 30,
  "keywords": ["crash", "login"]
}
```

### Typical uses

- **Product teams:** find what breaks in each release. Filter 1 to 2 stars and group by `appVersion`.
- **Competitor research:** compare what users praise and hate across rival apps and countries.
- **Support and ASO:** track unanswered complaints (`replyText` empty) and common keywords.
- **AI analysis:** feed reviews into sentiment, topic or summary models.

Use it together with **App Store Reviews by Country** (same publisher) to cover iPhone and Android in the same format.

### Pricing

$0.10 per 1,000 reviews ($0.0001 each).

1,000 reviews of one app cost $0.10. A daily run collecting about 50 new reviews costs roughly $0.15 a month.

Each run also has Apify's standard start charge of $0.00005. Apify's paid plans get 10% to 30% off; the Pricing tab shows yours.

### Limits

- Only public reviews are available; Google does not show reviewers' emails or full profiles.
- The keyword filter looks at the review text.
- Very large pulls (tens of thousands of reviews) take several minutes.

### Questions

#### Can I run it on a schedule?

Yes. Save your input as a task and add an Apify schedule, for example daily with "Posted within the last 1 day".

#### How do I get the results into Excel or Google Sheets?

Download any run's results as Excel, CSV or JSON from the Output tab, or connect Apify to Make, Zapier, n8n or Google Sheets.

#### Something looks wrong

Open a report under the Issues tab with the input you used.

# Actor input Schema

## `apps` (type: `array`):

One per line: a Google Play link such as https://play.google.com/store/apps/details?id=com.spotify.music, or just the app id (com.spotify.music).

## `countries` (type: `array`):

Two-letter country codes such as us, gb, de, se. Default: us.

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

Two-letter language code of the reviews, such as en, de, sv, es, fr.

## `sort` (type: `string`):

Newest first is best for monitoring; Most relevant matches the Play Store default order.

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

Up to 20,000. Google pages through the full review history.

## `minRating` (type: `integer`):

Set the lowest and highest rating to 1 and 2 to collect only complaints.

## `maxRating` (type: `integer`):

The highest star rating to include.

## `postedWithinDays` (type: `integer`):

Optional. With Newest first, run it daily with 1 to collect only new reviews.

## `keywords` (type: `array`):

Optional. Keep only reviews whose text contains at least one of these words, for example crash, login, subscription.

## Actor input object example

```json
{
  "apps": [
    "https://play.google.com/store/apps/details?id=com.spotify.music"
  ],
  "language": "en",
  "sort": "newest",
  "maxReviewsPerApp": 200,
  "minRating": 1,
  "maxRating": 5
}
```

# Actor output Schema

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

One item per review: rating, text, date, likes, app version and developer reply.

# 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 = {
    "apps": [
        "https://play.google.com/store/apps/details?id=com.spotify.music"
    ],
    "maxReviewsPerApp": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("spellzcode/google-play-reviews").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 = {
    "apps": ["https://play.google.com/store/apps/details?id=com.spotify.music"],
    "maxReviewsPerApp": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("spellzcode/google-play-reviews").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 '{
  "apps": [
    "https://play.google.com/store/apps/details?id=com.spotify.music"
  ],
  "maxReviewsPerApp": 200
}' |
apify call spellzcode/google-play-reviews --silent --output-dataset

```

## MCP server setup

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

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/yYkShW7Yvl1IfeVgq/builds/PJo28hXP89UR7T4Va/openapi.json