# Apple App Store Scraper - Apps, Games, Reviews & ASO Ranks (`crawloop/apple-app-store-scraper`) Actor

Scrape iOS App Store apps and games: metadata, keyword search, ASO keyword ranks, reviews, charts, and developer catalogs. Optional privacy/IAP HTML enrich, multi-country storefronts, and monitor mode. No App Store Connect login.

- **URL**: https://apify.com/crawloop/apple-app-store-scraper.md
- **Developed by:** [Andrej Kiva](https://apify.com/crawloop) (community)
- **Categories:** Other
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.25 / 1,000 app / chart rows

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

## Apple App Store Scraper — Apps, Games, Reviews, ASO Ranks & Monitor

> **Disclaimer:** Unofficial tool — not affiliated with, sponsored by, or endorsed by Apple Inc or its affiliates. Data is read from publicly accessible pages only. No login. You are responsible for complying with applicable law (including GDPR where personal data appears) and the site’s terms. No warranty on accuracy or availability. Provided for informational and research use.

**Apple App Store Scraper** ◄── you are here

| Actor | Platform |
| :--- | :--- |
| **Apple App Store Scraper** ◄── you are here | iOS / App Store |
| [Google Play Store Scraper](https://apify.com/crawloop/google-play-scraper) | Android / Google Play |
| [App Stores Scraper — Apple & Google Play ASO](https://apify.com/crawloop/app-stores-scraper) | Apple + Google Play (combo) |

**Apple App Store scraper** for Apify — pull **app & game metadata**, **keyword search**, **ASO keyword ranks**, **developer catalogs**, **customer reviews**, and **top charts**. Optional **HTML enrichment** adds App Privacy labels, in-app purchases, and rating histograms. **Multi-country** storefronts (including an all-majors preset). **No App Store Connect login.**

Use it for competitor research, ASO rank tracking, review mining, and scheduled release / price / rating monitors. For Android / Google Play, use [Google Play Store Scraper](https://apify.com/crawloop/google-play-scraper). For both stores in one run, use [App Stores Scraper — Apple App Store & Google Play ASO](https://apify.com/crawloop/app-stores-scraper).

### When to use this Actor

- ASO: track where your app ranks for keywords across countries
- Competitor cards: version, price, ratings, privacy, IAP
- Review intelligence (multi-storefront RSS window)
- Top Free / Paid / Grossing charts by category (e.g. Games)
- Publisher portfolio dumps (`developer_apps`)
- Cron monitors for version, price, rating, privacy, IAP, and SERP moves

### Modes

| Mode | What it does |
| :--- | :--- |
| `search` | Keyword search → app rows |
| `app_details` | Lookup by app ID / Store URL (+ optional HTML enrich) |
| `developer_apps` | All apps for a developer ID |
| `reviews` | Customer reviews via RSS (~500 max per country per sort) |
| `top_charts` | Top Free / Paid / Grossing / New charts |
| `keyword_ranks` | SERP position of tracked apps × keywords × countries + KV history |
| `monitor` | Fingerprint deltas (version / price / rating / privacy / IAP) |

### Key features

- **iTunes Lookup / Search / RSS** — fast JSON, no browser for core modes
- **HTML enrichment** — `enrichFromHtml` for subtitle, histogram, privacy nutrition labels, IAP
- **Keyword ranks + history** — Apple search top-200; KV snapshots; optional `RANK_CHANGE` events
- **Parallel workers** — `concurrency` across countries / keywords / apps
- **Multi-country** — `countries: ["all"]` or `useAllCountries` (~44 majors)
- **Typed dataset rows** — `app`, `review`, `chart_entry`, `keyword_rank`, `monitor_event`

### Input parameters

| Parameter | Description |
|-----------|-------------|
| `mode` | See modes table above |
| `startUrls` | App or developer page URLs |
| `appIds` / `developerIds` | Numeric Store IDs |
| `searchTerm` / `searchTerms` | Keywords (`search` / `keyword_ranks`) |
| `country` / `countries` | Storefront(s); `all` = major preset |
| `useAllCountries` | Same as `countries: ["all"]` |
| `enrichFromHtml` | Privacy / IAP / histogram / subtitle |
| `concurrency` | Parallel workers (default 6) |
| `rankHistoryLimit` | KV snapshots per keyword×country×app |
| `emitRankChanges` | Emit `RANK_CHANGE` monitor events |
| `reviewSort` | `mostRecent` or `mostHelpful` |
| `maxReviewsPerApp` | Cap ≤ 500 per country |
| `chartType` / `chartLimit` / `genreId` | Charts (`6014` = Games) |
| `enrichChartDetails` | Re-lookup chart apps for full metadata |
| `maxItems` | Dataset row cap (`0` = unlimited) |
| `maxRequestsPerSecond` | Client rate limit (default 8) |
| `monitorStoreName` | KV store for fingerprints + rank history |
| `monitorBaselineOnly` | First run: seed state only |
| `resetMonitorState` | Clear KV state before run |
| `proxyConfiguration` | Optional; useful with HTML enrichment |

#### Example — app details + HTML enrich

```json
{
  "mode": "app_details",
  "appIds": ["310633997", "431946152"],
  "countries": ["us"],
  "enrichFromHtml": true,
  "maxItems": 10
}
```

#### Example — ASO keyword ranks

```json
{
  "mode": "keyword_ranks",
  "appIds": ["310633997", "544007664"],
  "searchTerms": ["whatsapp", "messenger", "chat app"],
  "countries": ["us", "gb", "de"],
  "concurrency": 8,
  "rankHistoryLimit": 30,
  "emitRankChanges": true,
  "monitorStoreName": "apple-aso-ranks",
  "maxItems": 100
}
```

#### Example — Top Free Games

```json
{
  "mode": "top_charts",
  "chartType": "top_free",
  "country": "us",
  "genreId": 6014,
  "chartLimit": 100,
  "enrichChartDetails": true,
  "maxItems": 100
}
```

#### Example — reviews (multi-country)

```json
{
  "mode": "reviews",
  "appIds": ["310633997"],
  "countries": ["us", "gb", "de", "jp"],
  "reviewSort": "mostRecent",
  "maxReviewsPerApp": 100,
  "maxItems": 400
}
```

#### Example — monitor (baseline then schedule)

```json
{
  "mode": "monitor",
  "appIds": ["310633997", "284882215"],
  "countries": ["us"],
  "monitorStoreName": "apple-app-store-monitor-aso",
  "monitorBaselineOnly": true,
  "enrichFromHtml": true,
  "maxItems": 100
}
```

After the baseline run, set `monitorBaselineOnly` to `false` (or omit it) so later runs push only change events.

### Output

| Field | Description |
|-------|-------------|
| `itemType` | `app`, `review`, `chart_entry`, `keyword_rank`, `monitor_event` |
| `appId` | Numeric track ID |
| `title` / `subtitle` | App title; subtitle needs HTML enrich |
| `keyword` | Search keyword (`keyword_rank` / `RANK_CHANGE`) |
| `rank` / `previousRank` / `rankDelta` | Chart or SERP position |
| `found` | App appeared in Apple search top-200 |
| `developerName` | Publisher |
| `price` / `currency` | Storefront price |
| `rating` / `ratingCount` | Aggregate ratings |
| `ratingHistogram` | 1–5★ counts (HTML enrich) |
| `privacyNutritionLabels` | App Privacy categories (HTML enrich) |
| `inAppPurchases` | IAP name/price pairs (HTML enrich) |
| `version` / `releaseNotes` | Current version metadata |
| `country` | Storefront |
| `chartType` | Chart feed when applicable |
| `eventType` | `VERSION_UPDATE`, `PRICE_CHANGE`, `RATING_CHANGE`, `PRIVACY_CHANGE`, `IAP_CHANGE`, `RANK_CHANGE`, `NEW_APP` |
| `scrapedAt` | UTC collection time |

### Use cases

| Use case | What you get |
| :--- | :--- |
| **ASO keyword tracking** | SERP ranks for apps × keywords × countries + KV history |
| **Competitor research** | Version, price, ratings, privacy labels, IAP |
| **Review intelligence** | Multi-storefront RSS reviews with sort and caps |
| **Top charts** | Top Free / Paid / Grossing / New by genre |
| **Listing monitors** | Version, price, rating, privacy, IAP, RANK_CHANGE |
| **AI / MCP workflows** | Run via Apify API, clients, or MCP and summarize App Store data |

### Integration examples

#### Node.js

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/apple-app-store-scraper').call({
  mode: 'app_details',
  appIds: ['310633997'],
  countries: ['us'],
  enrichFromHtml: true,
  maxItems: 10,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/apple-app-store-scraper").call(
    run_input={
        "mode": "keyword_ranks",
        "appIds": ["310633997", "544007664"],
        "searchTerms": ["whatsapp", "messenger", "chat app"],
        "countries": ["us", "gb", "de"],
        "concurrency": 8,
        "monitorStoreName": "apple-aso-ranks",
        "maxItems": 100,
    }
)
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(len(items), items[:3])
```

#### cURL

```bash
curl "https://api.apify.com/v2/acts/crawloop~apple-app-store-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "mode": "reviews",
    "appIds": ["310633997"],
    "countries": ["us", "gb"],
    "reviewSort": "mostRecent",
    "maxReviewsPerApp": 100,
    "maxItems": 200
  }'
```

### MCP and AI assistants

Use this Actor from AI tools via [Apify MCP](https://docs.apify.com/platform/integrations/mcp). Connect your Apify account, then call `crawloop/apple-app-store-scraper`.

Example prompts:

- "Run Apple App Store Scraper in app_details mode for app ID 310633997 with HTML enrich and return title, rating, privacy labels, and IAP"
- "Scrape App Store reviews for WhatsApp across us and gb, max 100 each, and summarize 1-star themes"
- "Chain Apple App Store Scraper then Google Play Store Scraper for the same product and compare ratings"

### Suite next step

Need Android / Google Play? Use [Google Play Store Scraper](https://apify.com/crawloop/google-play-scraper). Want both stores in one run with `appPairs`? Use [App Stores Scraper — Apple App Store & Google Play ASO](https://apify.com/crawloop/app-stores-scraper).

### Limitations

- Reviews RSS is a **recent window**, not full history (~500 per country per sort). Widen with more `countries`.
- Keyword ranks / search stop at Apple’s **top 200** per term per country (`found: false` if outside).
- Genre charts often return up to **~100** positions.
- DSA street address is best-effort (`providerAddress`); often absent from public page JSON.

### Workflow tips

1. Seed ASO with `keyword_ranks` + a dedicated `monitorStoreName`.
2. Schedule daily `keyword_ranks` (without `resetMonitorState`) to build history and `RANK_CHANGE` events.
3. Pair with `monitor` + `enrichFromHtml` for release / privacy / IAP alerts.
4. Use `reviews` + multi-country for sentiment around a version bump.

### Related Actors

| Actor | What it covers |
| :--- | :--- |
| **Apple App Store Scraper** ◄── you are here | iOS apps, games, reviews, ASO ranks, charts, monitor |
| [Google Play Store Scraper](https://apify.com/crawloop/google-play-scraper) | Android apps, reviews, ASO ranks, similar apps, monitor |
| [App Stores Scraper — Apple App Store & Google Play ASO](https://apify.com/crawloop/app-stores-scraper) | Both stores in one run (combo ASO) |

# Actor input Schema

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

What to scrape from public iTunes / App Store endpoints.

## `startUrls` (type: `array`):

App Store app or developer page URLs (country + id are parsed automatically).

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

Numeric App Store track IDs (e.g. 310633997).

## `developerIds` (type: `array`):

Numeric developer / artist IDs for mode=developer_apps.

## `searchTerm` (type: `string`):

Keyword for mode=search (e.g. crypto, vpn).

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

Keywords for mode=search or mode=keyword_ranks. Merged with Search Term.

## `concurrency` (type: `integer`):

Parallel country/keyword/app workers (1–32). Higher is faster for multi-country runs.

## `rankHistoryLimit` (type: `integer`):

How many past keyword-rank snapshots to keep per app×keyword×country in KV (mode=keyword_ranks).

## `emitRankChanges` (type: `boolean`):

In keyword_ranks, also push monitor_event RANK_CHANGE when position moves vs previous run.

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

Primary App Store storefront (ISO-2). Used when Countries is empty.

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

Storefronts to scrape (us, gb, de, jp, …). Use "all" for the major-storefronts preset (~44 countries). Reviews and charts are per-country.

## `useAllCountries` (type: `boolean`):

If true, scrape the built-in major storefronts list (same as countries=\["all"]). Ideal for review coverage beyond the ~500/country RSS ceiling.

## `enrichFromHtml` (type: `boolean`):

Fetch apps.apple.com product page for subtitle, rating histogram, App Privacy labels, and in-app purchases. Slower; recommended for app_details.

## `reviewSort` (type: `string`):

RSS review sort order.

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

Cap per app per storefront. Apple RSS hard-limits ~500 (10×50).

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

Top charts feed for mode=top_charts.

## `chartLimit` (type: `integer`):

How many chart positions to fetch (Apple typically up to 200).

## `genreId` (type: `integer`):

Optional App Store genre id for charts (e.g. 6015 Finance, 6014 Games).

## `enrichChartDetails` (type: `boolean`):

If true, re-fetch each chart app via iTunes Lookup for full metadata (slower).

## `maxItems` (type: `integer`):

Maximum dataset rows to push (0 = unlimited).

## `maxRequestsPerSecond` (type: `number`):

Client-side rate limit for iTunes / RSS HTTP calls.

## `monitorStoreName` (type: `string`):

Named Apify key-value store for app fingerprints (monitor) and keyword-rank history (keyword_ranks).

## `monitorBaselineOnly` (type: `boolean`):

For monitor / keyword_ranks: save state without emitting change events (keyword_ranks still skips dataset if true).

## `resetMonitorState` (type: `boolean`):

Clear fingerprints in the monitor store before this run.

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

Optional Apify Proxy. Usually not required for public iTunes JSON endpoints.

## Actor input object example

```json
{
  "mode": "app_details",
  "startUrls": [
    {
      "url": "https://apps.apple.com/us/app/whatsapp-messenger/id310633997"
    }
  ],
  "appIds": [
    "310633997"
  ],
  "developerIds": [],
  "searchTerm": "",
  "searchTerms": [],
  "concurrency": 6,
  "rankHistoryLimit": 30,
  "emitRankChanges": true,
  "country": "us",
  "countries": [],
  "useAllCountries": false,
  "enrichFromHtml": false,
  "reviewSort": "mostRecent",
  "maxReviewsPerApp": 100,
  "chartType": "top_free",
  "chartLimit": 100,
  "enrichChartDetails": false,
  "maxItems": 100,
  "maxRequestsPerSecond": 8,
  "monitorStoreName": "apple-app-store-monitor-state",
  "monitorBaselineOnly": false,
  "resetMonitorState": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Default dataset items (apps, reviews, chart entries, monitor events).

# 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 = {
    "startUrls": [
        {
            "url": "https://apps.apple.com/us/app/whatsapp-messenger/id310633997"
        }
    ],
    "appIds": [
        "310633997"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawloop/apple-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 = {
    "startUrls": [{ "url": "https://apps.apple.com/us/app/whatsapp-messenger/id310633997" }],
    "appIds": ["310633997"],
}

# Run the Actor and wait for it to finish
run = client.actor("crawloop/apple-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 '{
  "startUrls": [
    {
      "url": "https://apps.apple.com/us/app/whatsapp-messenger/id310633997"
    }
  ],
  "appIds": [
    "310633997"
  ]
}' |
apify call crawloop/apple-app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawloop/apple-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/ArhJCgI5NawkQoFhO/builds/2Rhme6x7MUuzsvDML/openapi.json