# Google Play App Search & Reviews Scraper (`herus13/google-play-reviews-scraper`) Actor

Search Google Play for apps by keyword and scrape their reviews — rating, text, author, dev replies, app version. Two input modes: keyword search or direct package IDs/URLs. No login, no anti-bot handling needed.

- **URL**: https://apify.com/herus13/google-play-reviews-scraper.md
- **Developed by:** [bootforge](https://apify.com/herus13) (community)
- **Categories:** Lead generation, Automation, SEO tools
- **Stats:** 2 total users, 0 monthly users, 96.8% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 app reviews

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 App Search & Reviews Scraper

Search Google Play for apps by keyword, or provide package IDs/URLs directly, and scrape their reviews — rating, review text, author, thumbs-up count, developer replies, and app version at time of review.

### Use cases

**App feedback mining** — Search Google Play by keyword or pass package IDs directly, and get reviews with rating, text, author, thumbs-up count, and the app version at time of review. That version field is what lets you tie a spike in complaints to the release that caused it.

**Developer-response auditing** — Developer replies come back with the reviews, so you can measure what share of negative feedback actually got answered, and how the reply rate changes over time.

**Competitor research** — Keyword search surfaces which apps rank for a term; pulling their reviews shows what their users are unhappy about, which is usually a more honest feature roadmap than any public one.

**Release-quality tracking** — Thumbs-up counts rank reviews by how many other users endorsed the complaint, separating a single frustrated user from a widespread regression.

### Input

- **App IDs or URLs** — direct package IDs (`com.spotify.music`) or full Play Store URLs.
- **Search Queries** — keywords; the actor resolves matching apps first, then scrapes their reviews.
- Filter by star rating, date range, and sort order (most relevant / newest / by rating).

### Output

One dataset row per review: `review_id`, `app_id`, `author_name`, `author_avatar_url`, `rating`, `text`, `thumbs_up_count`, `review_date`, `app_version`, `dev_reply_text`, `dev_reply_date`, `scraped_at`. When using Search Queries, matched apps are also pushed as rows with `app_id`, `title`, `developer`, `icon_url`, `rating`, `installs`, `is_free`, `price`, `category`, `url`, `scraped_at`.

### Pricing

Pay-per-event: a small per-run fee, a per-app-search-result charge, and a per-review charge. See the Monetization tab for current pricing.

### Notes

Google Play's public search and review endpoints require no login and no anti-bot handling — this actor is HTTP-only (no browser), so runs are fast and proxy is optional (recommended only for scale or country-specific results).

# Actor input Schema

## `app_ids` (type: `array`):

<p>Play Store package IDs or full URLs.</p><p>Examples: <code>com.spotify.music</code>, <code>https://play.google.com/store/apps/details?id=com.spotify.music</code></p>
## `search_queries` (type: `array`):

<p>Keywords to search Google Play; the scraper resolves each into apps, then scrapes their reviews.</p><p>Example: <code>meditation app</code></p>
## `max_apps_per_search` (type: `integer`):

Cap on how many apps to take from each search query's results.

## `max_reviews_per_app` (type: `integer`):

Cap on how many reviews to scrape per app.

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

Order reviews are returned in: most relevant, newest first, or by rating.

## `rating_filter` (type: `array`):

Only keep reviews with these star ratings (1-5). Leave empty for all ratings.

## `date_from` (type: `string`):

Only keep reviews on/after this date (YYYY-MM-DD). Works best with Sort = Newest.

## `date_to` (type: `string`):

Only keep reviews on/before this date (YYYY-MM-DD).

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

Play Store country code (affects which apps/reviews are visible).

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

Play Store language code.

## `transport` (type: `string`):

HTTP engine used to fetch pages. Auto uses curl\_cffi.

## `proxy` (type: `object`):

<p>Optional — Google Play's search and reviews endpoints have no known anti-bot layer, so a proxy is not required for correctness, only for scale/geo-accuracy.</p>

## Actor input object example

```json
{
  "app_ids": [
    "com.spotify.music"
  ],
  "max_apps_per_search": 10,
  "max_reviews_per_app": 200,
  "sort": "most_relevant",
  "country": "us",
  "language": "en",
  "transport": "auto"
}
```

# Actor output Schema

## `results` (type: `string`):

App search results and reviews for each requested/discovered app

# 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 = {
    "app_ids": [
        "com.spotify.music"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("herus13/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 = { "app_ids": ["com.spotify.music"] }

# Run the Actor and wait for it to finish
run = client.actor("herus13/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 '{
  "app_ids": [
    "com.spotify.music"
  ]
}' |
apify call herus13/google-play-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=herus13/google-play-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/l4VbOiKpRaxVo6tyQ/builds/6PgNldfz0JnoGGAYm/openapi.json