# App Store & Google Play Review Scraper (`renzomacar/app-store-scraper`) Actor

Scrape Apple App Store and Google Play in one run — app reviews, ratings, metadata, top charts, and keyword rankings, in any country, with no API key. Pay-per-result alternative to Sensor Tower & data.ai for ASO research, review monitoring, and sentiment analysis. Both stores. No login.

- **URL**: https://apify.com/renzomacar/app-store-scraper.md
- **Developed by:** [Renzo Madueno](https://apify.com/renzomacar) (community)
- **Categories:** Developer tools, Marketing
- **Stats:** 5 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.65 / 1,000 app metadata

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?

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

## App Store & Google Play Review Scraper — Reviews, Ratings & ASO Data (No API Key)

Scrape **both the Apple App Store and Google Play in one run** — app reviews, ratings, metadata, top charts, and keyword rankings — in any country, with **no API key**. A pay-per-result alternative to Sensor Tower and data.ai for ASO research, review monitoring, and sentiment analysis.

### What does this App Store scraper do?

Three modes, both stores, multi-country:

- **Reviews + metadata** — full app details plus reviews (text, rating, version, date, helpful count, developer reply) and an automatic **review sentiment summary** (avg rating, % positive/negative, top keywords).
- **Top charts** — Apple App Store top free / paid / grossing by genre and country (ASO market intel).
- **Keyword ranking** — which apps rank for a search term, on each store (ASO rank tracking).

The only actor that does **both stores in one run, with no API key and pay-per-result pricing.**

### How to scrape App Store and Google Play reviews

1. Add **apps** — Apple IDs, Apple/Google URLs, Google package names, or app names. Mix freely.
2. Pick **platform** (apple / google / both), **countries**, and **maxReviewsPerApp**.
3. Run it — one clean JSON/CSV row per app, review, and summary.

```json
{ "apps": ["com.spotify.music", "324684580"], "platform": "both", "countries": ["us"], "maxReviewsPerApp": 200 }
```

### Reliability — built to actually finish your run

Built on **first-party Apple iTunes API/RSS + Google Play public endpoints** — not fragile full-page HTML scraping that breaks on every redesign. Every request has **automatic retry with backoff** (handles 429 and transient 5xx), and failures are **surfaced in the log**, not silently swallowed — so your scheduled jobs don't quietly return empty. Unified review schema across both stores, so you never special-case fields.

### App Store scraper comparison

| | This Actor | Apple-only scrapers | Google-only scrapers | Sensor Tower / data.ai |
|---|---|---|---|---|
| Apple App Store | ✅ | ✅ | ❌ | ✅ |
| Google Play | ✅ | ❌ | ✅ | ✅ |
| Both stores, one run | ✅ | ❌ | ❌ | partial |
| Reviews + charts + keyword ASO | ✅ | varies | varies | ✅ |
| Review sentiment summary | ✅ | ❌ | ❌ | ✅ |
| No API key / no subscription | ✅ | varies | ✅ | ❌ |
| Pay per result | ✅ | some rental | ✅ | ❌ |

### Pricing

Pay-per-result — no subscription:

| Event | Price |
|---|---|
| Actor start | $0.01 |
| App metadata | $0.005 |
| Reviews batch (per app) | $0.01 |
| Chart page / search query | $0.01 |

### Output example

```json
{ "type": "app", "platform": "google", "title": "Spotify", "rating": 4.3, "installs": "1B+", "inAppPurchases": "$6.99 - $203.88", "adSupported": true, "hasDataSafety": true, "developerEmail": "support@spotify.com", "screenshots": ["https://…"] }
{ "type": "review", "platform": "apple", "rating": 5, "title": "Love it", "text": "…", "version": "9.0", "date": "2026-06-20…", "helpfulCount": 12, "reply": null }
{ "type": "review-summary", "platform": "google", "reviewsAnalyzed": 200, "averageRating": 3.85, "positivePct": 70, "topKeywords": [{ "word": "premium", "count": 31 }] }
```

### Use cases

- **ASO research** — track ratings, top charts, and keyword rankings for your app and competitors, across both stores.
- **Review monitoring** — watch new reviews and developer replies by country; alert on rating drops.
- **Sentiment & ML** — pull thousands of reviews as clean JSON to feed an LLM, plus a ready-made sentiment summary.
- **Competitive intel** — compare metadata, tech, IAP pricing, and data-safety across rival apps.

### FAQ

**Does it cover both app stores?** Yes — Apple App Store and Google Play, side by side, multi-country, in one run.

**Do I need an API key?** No. It uses public first-party endpoints — no developer account, no login.

**How many reviews can I get?** Google Play supports deep pulls (thousands). Apple's public RSS feed caps at ~500 per app per country — so for maximum Apple depth, run multiple countries. The actor tells you in the log when the Apple cap is hit (no silent truncation).

### Other Actors by this author

Need finance, company, or research data too? See my [other Actors](https://apify.com/renzomacar) — Yahoo Finance, SEC EDGAR, Company Enrichment, Apple Podcasts, and Deep Research MCP.

***

Built by [Renzo Madueño](https://apify.com/renzomacar). Found a bug or want a field added? Open an **Issue** — I read and respond to every one.

# Actor input Schema

## `mode` (type: `string`):

reviews = app metadata + reviews. charts = ASO top charts. search = ASO keyword ranking (which apps rank for a term).

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

App names, Apple App Store IDs/URLs, or Google Play package names/URLs. E.g. "Notion", "477128284", "com.spotify.music".

## `searchTerms` (type: `array`):

Keywords to check app rankings for (ASO). Returns the ranked apps per term and country.

## `platform` (type: `string`):

Which store(s) to use.

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

Two-letter country codes (e.g. us, gb, de).

## `includeReviews` (type: `boolean`):

Also scrape reviews, not just app metadata.

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

Per app, per country. Apple no longer caps this at 500 — the limit is how many reviews the app actually has.

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

Order in which reviews are pulled.

## `chartType` (type: `string`):

Which Apple chart to pull.

## `appleGenreId` (type: `integer`):

Optional App Store genre/category ID to filter charts (e.g. 6017 = Education, 6013 = Health & Fitness, 6014 = Games). Leave empty for overall.

## `limit` (type: `integer`):

Max apps to return per chart or per search term/country.

## Actor input object example

```json
{
  "mode": "reviews",
  "apps": [
    "com.spotify.music",
    "324684580"
  ],
  "searchTerms": [
    "meditation"
  ],
  "platform": "both",
  "countries": [
    "us"
  ],
  "includeReviews": true,
  "maxReviewsPerApp": 20,
  "sort": "newest",
  "chartType": "topfree",
  "limit": 50
}
```

# Actor output Schema

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

Rows produced by App Store & Google Play Review Scraper, one item per result in the default dataset.

# 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": [
        "com.spotify.music",
        "324684580"
    ],
    "searchTerms": [
        "meditation"
    ],
    "countries": [
        "us"
    ],
    "maxReviewsPerApp": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("renzomacar/app-store-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": [
        "com.spotify.music",
        "324684580",
    ],
    "searchTerms": ["meditation"],
    "countries": ["us"],
    "maxReviewsPerApp": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("renzomacar/app-store-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": [
    "com.spotify.music",
    "324684580"
  ],
  "searchTerms": [
    "meditation"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerApp": 20
}' |
apify call renzomacar/app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,renzomacar/app-store-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/0k2S0TIb7JgjVhR8C/builds/z0US7g0CotRSgwgbf/openapi.json