# Google Play Reviews Scraper — Android app reviews, newest first (`inovaflow/google-play-reviews-scraper`) Actor

Public reviews of any Android app from Google Play, newest first: reviewer, rating, text, date, thumbs up, app version and the developer's reply, plus the app's rating, review count, installs and histogram, per country and language. Paste a Play link or package name. No login, pay per review.

- **URL**: https://apify.com/inovaflow/google-play-reviews-scraper.md
- **Developed by:** [inovaflow](https://apify.com/inovaflow) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 1,000 reviews

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

**Every public review of any Android app, straight from Google Play — reviewer, stars, text, date, thumbs up, the app version it was written on, the developer's reply, and the app's own rating, review count, installs and star histogram — newest first, per country and language. Paste a link, a package name or an app name. No login, no API key, $0.20 per 1,000 reviews.**

If you build, market or research Android apps, you know Google Play shows reviews a screen at a time and offers no export. The reviews are public — all of them — and the store page reads them through a plain request, up to a hundred at a time, newest first or by rating, with a star filter. We wired that request up so you can pull the whole history of any app in any country into a table, filter it, and watch it week by week.

We built this to feed our own review-intelligence reports and use it daily. Now we're sharing it.

### Who it's for

- **Product teams** — *"what are people complaining about since the last release?"*: newest first, 1–2 stars, since a date.
- **Competitive research** — *"the last 1,000 reviews of each of our three competitors, in the US, the UK and Germany."*
- **App marketers and ASO** — *"which reviews got a developer reply, and how fast?"*
- **Support and community** — *"every new review since Monday, into Slack or a sheet."*
- **AI agents and pipelines** — *"reviews of app X as flat JSON, with the app's rating and histogram on every row."*

### What you can enter

| Input | Example | What happens |
|---|---|---|
| **Google Play link** | `https://play.google.com/store/apps/details?id=com.Slack&hl=de&gl=DE` | The package comes from the link; its `hl`/`gl` are used when you leave the locale fields at their defaults |
| **Package name** | `com.Slack` | Read in the countries and languages you list (US / English by default) |
| **App name** | `Notion` | Looked up in Play's search for that locale; the exact title wins, else the top hit |

**Each row:** reviewer name and avatar, stars, text, date, thumbs up, the app version the review was written on, the developer's reply and its date (when there is one), and — repeated on every row so the table stands alone — the app's name, developer, category, current version, overall rating, rating count, review count, installs and the 1★…5★ histogram, the country and language, and a link that opens the review on Google Play.

### Options that matter

- **Countries and languages** — Google Play lists reviews per country (`gl`) and language (`hl`). You get one row set per app per combination.
- **Order** — *Newest first* (the default), *Most relevant* (what the Play page shows), or *Rating* (highest first).
- **Only these star ratings** — pick `1` and `2` for the complaints. Google filters on its side, so you pay only for the matching reviews.
- **Only reviews published on or after** — with *Newest first* the Actor stops paging as soon as it reaches older reviews, so a weekly check of a busy app costs only the new reviews.
- **Maximum reviews per app and locale** — the cap on delivered rows and on what you pay. 50 is a quick look, 5,000 a deep history.

### How to set it up

1. Paste the apps (links, package names or app names), one per line.
2. Pick countries, languages, the order and the filters, and set the maximum reviews per app.
3. Run. Rows land in the dataset app by app; the status message and the `OUTPUT` record say how each app was resolved, how many pages were read, what was filtered out and why the Actor stopped.

### Pricing

Pay per result: **$0.0002 per review** ($0.20 per 1,000), plus the platform's start fee ($0.005 per GB of memory, one unit at the default 512 MB). Reviews removed by your star or date filters, duplicates and empty runs are never charged.

### Notes

- **No account, no key.** Everything comes from Google Play's public app page and the public reviews request the page itself uses.
- **Developer replies** come with the review when the developer answered — including the reply's date.
- **Pre-installed and region-locked apps.** An app that is not on Google Play in a country has no page there — the row set is empty and the summary says `not found` for that pair.
- **Proxies.** Reads go through Apify's datacenter proxy; a blocked session is rotated, and residential is used by itself when the datacenter pool is blocked too.

# Actor input Schema

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

One per line: `https://play.google.com/store/apps/details?id=com.Slack`, `com.Slack`, or `Slack`.

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

Two-letter country codes (`gl`). Google Play shows a country's reviews; `us` is the default. One row set per app per country and language.

## `languages` (type: `array`):

Language codes (`hl`): `en`, `de`, `fr`, `pt-BR`… Reviews are listed per language; `en` is the default.

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

`Newest first` lets the date filter stop early. `Most relevant` is what the Play page shows by default. `Rating` lists the highest-rated first.

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

Stops after this many delivered reviews for each app in each country/language. Also caps what you pay. 50 is a quick sample; 5,000 a deep history.

## `publishedAfter` (type: `string`):

A date, `YYYY-MM-DD`. With `Newest first` the Actor stops paging as soon as it reaches older reviews, so a weekly check of a busy app costs only the new reviews.

## `ratings` (type: `array`):

Empty = all. Pick the stars you want; `1` and `2` give you the complaints. Google filters server-side, so you pay only for matching reviews.

## `maxConcurrency` (type: `integer`):

How many app/locale pairs are read at the same time.

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

Google Play answers a plain IP for moderate volumes. The default Apify datacenter proxy rotates sessions on every block; residential is used automatically when the datacenter pool is blocked too.

## Actor input object example

```json
{
  "apps": [
    "https://play.google.com/store/apps/details?id=com.Slack",
    "Notion"
  ],
  "countries": [
    "us",
    "gb",
    "de"
  ],
  "languages": [
    "en",
    "de"
  ],
  "sort": "newest",
  "maxReviewsPerApp": 50,
  "publishedAfter": "2026-01-01",
  "ratings": [],
  "maxConcurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

One row per review: app, country, language, reviewer, stars, text, date, thumbs up, app version, developer reply.

## `apps` (type: `string`):

The app behind each row: developer, overall rating, review count, installs, version, category.

## `summary` (type: `string`):

Reviews per app and locale, resolution, pages read, throttles, what could not be found.

# 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.Slack"
    ],
    "countries": [
        "us"
    ],
    "languages": [
        "en"
    ],
    "maxReviewsPerApp": 50,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("inovaflow/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 = {
    "apps": ["https://play.google.com/store/apps/details?id=com.Slack"],
    "countries": ["us"],
    "languages": ["en"],
    "maxReviewsPerApp": 50,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("inovaflow/google-play-reviews-scraper").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.Slack"
  ],
  "countries": [
    "us"
  ],
  "languages": [
    "en"
  ],
  "maxReviewsPerApp": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call inovaflow/google-play-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

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/fJ3cesIdsgZHXVRjA/builds/EeAfOxoSB28velrxb/openapi.json