# Google Play Reviews Scraper (`tactful_anvil/google-play-reviews-scraper`) Actor

Scrape Google Play app reviews at $0.08/1,000 — full pagination, star filter, newest/relevance sort, developer replies with reply-delay intel, keyword filter and per-app summary. HTTP-only, no login, no key.

- **URL**: https://apify.com/tactful\_anvil/google-play-reviews-scraper.md
- **Developed by:** [Mr Zack](https://apify.com/tactful_anvil) (community)
- **Categories:** E-commerce, SEO tools, Automation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.08 / 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?

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 — $0.08 per 1,000 reviews

Scrape **Google Play app reviews** for any app, at scale, for less: **$0.08 / 1,000 reviews** (plus a $0.01 run fee) — the lowest per-review price in this category on Apify. HTTP-only, no login, no API key, no browser, no proxy add-ons.

Give it one or more package IDs (`com.whatsapp`) or Play Store URLs and get back clean JSON/CSV rows with the review text, star rating, timestamp, helpful votes, the app version the user was on, and — where the developer answered — the **full developer reply plus how many days the reply took**.

### Who uses this

- **Product & support teams** monitoring their own app (and their competitors') for crashes, complaints and feature requests — schedule it and only pay for *new* reviews with `newerThanDays`.
- **ASO / mobile-marketing analysts** mining 1-star reviews of competitor apps for positioning gaps.
- **Data & ML teams** building sentiment datasets: rating + text + language + country, deduplicated by review ID.
- **Agencies** reporting on app reputation: the run summary gives you average rating, % 1-star, developer reply rate and median reply delay per app — no post-processing needed.

### What you get per review

| Field | Description |
|---|---|
| `appId`, `appTitle`, `appUrl` | Which app the review belongs to |
| `reviewId` | Stable unique ID — safe for dedup across runs |
| `userName` | Reviewer display name |
| `rating` | 1–5 stars |
| `text` | Review text (`null` for rating-only reviews — never a fake empty string) |
| `reviewedAt`, `reviewAgeDays` | ISO timestamp + age in days |
| `thumbsUpCount` | Helpful votes |
| `appVersion` | App version the reviewer was on — spot which release broke things |
| `hasDeveloperReply`, `developerReplyText`, `developerRepliedAt` | Full developer response |
| `replyDelayDays` | **How long the developer took to reply** — support responsiveness intel you won't find in other review scrapers |
| `language`, `country`, `sortMode` | Exactly what storefront slice this row came from |

Every run also writes a **`SUMMARY`** record to the key-value store: reviews collected, average rating in the window, star histogram, % 1-star, developer reply rate, median reply delay, top app versions, plus overall app metadata (title, developer, category, lifetime score and ratings count).

### Why this one

- **Price**: $0.08/1k vs $0.10–$6.00/1k elsewhere in the category. Filtered-out reviews (star filter is server-side, keyword filter client-side) are **never charged**.
- **Reply intel**: developer replies *and* reply-delay stats — most review scrapers drop or ignore replies.
- **Deep history**: token-based pagination up to 100,000 reviews per app per run.
- **Any storefront**: `language` + `country` inputs cover every Play locale (en/us, de/de, pt/br, id/id, …).
- **Honest data**: rating-only reviews keep `text: null`, timestamps are validated, zero rows are never invented. Typed output schema included — AI agents can read the shape via MCP/API before calling.

### Example input

```json
{
  "appIds": ["com.whatsapp", "https://play.google.com/store/apps/details?id=org.telegram.messenger"],
  "maxReviewsPerApp": 2000,
  "sort": "newest",
  "starsFilter": "1",
  "language": "en",
  "country": "us",
  "filterKeyword": "backup"
}
```

→ every 1-star English/US review of WhatsApp and Telegram that mentions "backup", newest first, with developer replies attached. Cost: at most 2 × 2,000 × $0.00008 + $0.01 ≈ **$0.33**.

### How to schedule this Actor (the right way)

Review monitoring only makes sense on a schedule:

1. Open the Actor → **Schedules** tab → **Create new schedule** (e.g. `@daily`).
2. Set `sort` = `newest` and `newerThanDays` = `1` (or `7` for weekly runs).
3. The run stops paging the moment it hits reviews older than the window — a daily WhatsApp check typically costs **under a cent**.
4. Add an integration (Slack/email/webhook) on the schedule to get new 1-star reviews pushed to your team, or read the `SUMMARY` key for the daily reply-rate numbers.

### Notes & fair use

Public data only, polite request pacing, no login, no personal data beyond what Google publicly displays with each review. Rate limits are respected with retries and backoff; if Google throttles a huge run, the Actor keeps what it collected instead of failing.

### Was this Actor useful?

If it saved you time, a ⭐ review on this page helps more people find it. Hit a problem? Open an **Issue** on the Issues tab — it's actively maintained and I usually respond within a day.

### Related Actors

- **[App Store Reviews Scraper](https://apify.com/tactful_anvil/app-store-reviews-scraper-multi-country-deep-history)** — the iOS twin of this Actor. Schedule both to monitor Android + iOS reviews for the same app portfolio in one place.
- **[Chrome Web Store Intelligence Scraper](https://apify.com/tactful_anvil/chrome-web-store-intelligence-scraper)** — extension listings, ratings and permission-risk audits, if you also track browser extensions.

# Actor input Schema

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

Package IDs (com.whatsapp) or full Play Store URLs. One or more.

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

Hard cap per app — this caps your cost ($0.08 per 1,000 reviews). Up to 100,000.

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

newest = chronological (best for monitoring); relevance = Play's default ranking (helpful votes surface first).

## `starsFilter` (type: `string`):

Only reviews with this rating. 'all' = no filter. Filtering happens server-side — you don't pay for skipped reviews.

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

Review language code, e.g. en, de, es, pt, id, ja.

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

Storefront country code, e.g. us, gb, de, br, in, id.

## `newerThanDays` (type: `integer`):

0 = off. With sort=newest the run stops as soon as it hits older reviews — perfect for cheap scheduled monitoring.

## `filterKeyword` (type: `string`):

Only keep reviews mentioning this word/phrase (checked in review text and developer reply, case-insensitive). Skipped reviews are not charged.

## `includeAppMeta` (type: `boolean`):

Attach app title to each row and store overall rating, developer and category in the run SUMMARY.

## Actor input object example

```json
{
  "appIds": [
    "com.whatsapp"
  ],
  "maxReviewsPerApp": 500,
  "sort": "newest",
  "starsFilter": "all",
  "language": "en",
  "country": "us",
  "newerThanDays": 0,
  "filterKeyword": "",
  "includeAppMeta": true
}
```

# Actor output Schema

## `reviews` (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 = {
    "appIds": [
        "com.whatsapp"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("tactful_anvil/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 = { "appIds": ["com.whatsapp"] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tactful_anvil/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/bbwxf8Zf5r7jMZ5Xg/builds/f0tYM3WR3gkuqC5Px/openapi.json