# Apple App Store Scraper — Apps, Reviews & Charts (`scrapesage/app-store-scraper`) Actor

Scrape the Apple App Store: search apps, full app details, top free/paid/grossing charts, whole developer portfolios and user reviews. Rich metadata (ratings, versions, sizes, screenshots) plus a monitoring mode for new apps and reviews. No login, no key, no browser.

- **URL**: https://apify.com/scrapesage/app-store-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** SEO tools, Agents, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.38 / 1,000 app scrapeds

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

## Apple App Store Scraper — Apps, Reviews & Charts

> **Disclaimer:** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Apple Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "Apple App Store" is referenced only to describe the publicly available website this Actor collects data from.

Extract **everything public on the [Apple App Store](https://www.apple.com/app-store/)** — full **app details** (ratings, pricing, versions, sizes, release notes, screenshots), **user reviews**, **top free/paid/grossing charts** by category, and an entire **developer's app portfolio**. Built straight on Apple's own iTunes/App Store endpoints for clean, fast, structured data.

No login, no API key, no browser — and an optional **monitoring mode** that returns only new apps and new reviews on each run.

### Why this App Store scraper?

Most App Store scrapers do one narrow thing. This actor rolls **five jobs into one tool** and ships the **richest dataset in the category** — the complete app record, not just a handful of visible fields.

| Data | Typical App Store scrapers | This actor |
|---|---|---|
| App search by keyword | partial | ✅ |
| Full app details (rating, # ratings, version, size, min iOS, release notes…) | basic fields | ✅ 40+ fields |
| Developer name, website & developer page | ❌ | ✅ |
| Top charts (free / paid / grossing) by category | sometimes | ✅ |
| Whole developer portfolio | ❌ | ✅ |
| User reviews (rating, title, text, version, helpful votes) | ✅ | ✅ |
| Bundle ID ⇄ App ID ⇄ URL — all accepted | ❌ | ✅ |
| **Monitoring mode** — only new apps / reviews | ❌ | ✅ |
| One run, five jobs (search · details · charts · developer · reviews) | ❌ | ✅ |

### Use cases

- **ASO & market research** — see who ranks for a keyword or tops a category, with ratings, rating counts, pricing, version cadence and release notes; compare your app to its rivals.
- **Review intelligence & monitoring** — track ratings and user feedback for your app and competitors; run on a schedule with monitoring mode to capture only the newest reviews for sentiment, bug signals and support alerts.
- **Competitive & portfolio tracking** — scrape a rival developer's entire catalogue, or watch a category chart to catch new entrants the moment they appear.
- **App discovery & aggregation** — power dashboards, newsletters and datasets with structured app metadata across countries and categories.
- **Due diligence** — capture each app's price, content rating, advisories, supported devices, languages, size and update history.

### How to use

1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor.
2. Open the **Apple App Store Scraper**, pick a **mode** (Search, App details, Top charts, Developer apps, or Reviews), fill in the matching field, and click **Start**.
3. Watch results stream into the dataset table as each record is parsed.
4. **Export** as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the [Apify API](https://docs.apify.com/api/v2).

### Input

Search a keyword across the US storefront:

```json
{
    "mode": "search",
    "searchTerms": ["habit tracker", "crypto wallet"],
    "maxAppsPerQuery": 50,
    "country": "us"
}
```

Pull the newest reviews for specific apps, on a schedule, getting only new ones each run:

```json
{
    "mode": "reviews",
    "appIds": ["324684580", "com.spotify.client", "https://apps.apple.com/us/app/id389801252"],
    "maxReviewsPerApp": 200,
    "reviewsSort": "mostrecent",
    "monitorMode": true
}
```

- **mode** — `search`, `appDetails`, `topCharts`, `developerApps`, or `reviews`. Each mode uses the field that matches it (`searchTerms`, `appIds`, `collection`+`genre`, `developerIds`, or `appIds`).
- **appIds** — numeric App Store IDs (`324684580`), bundle IDs (`com.spotify.client`) or full App Store URLs; all three are accepted.
- **collection / genre** — for `topCharts`: `TOP_FREE` / `TOP_PAID` / `TOP_GROSSING`, in a category or `All apps`.
- **developerIds** — numeric developer (artist) IDs or App Store developer URLs (e.g. `…/developer/spotify/id324684583`).
- **fullDetails** *(default true)* — for charts, enrich each ranked app with its full record. Search and Developer modes already return full records.
- **country / language** — storefront (`us`, `gb`, `de`, `jp`…) and an optional Apple language tag (`en_us`).
- **monitorMode / monitorStoreName** — emit only records not seen in previous runs (see **Monitoring** below).
- **proxyConfiguration** — proxy settings (Apify proxy by default).

### Output

One dataset; every row is tagged with a `type` (`app` or `review`). Use the **Apps**, **Developers**, and **Reviews** views to switch the columns.

An app record (`type: "app"`, abridged — 40+ fields in total):

```json
{
    "type": "app",
    "appId": 324684580,
    "bundleId": "com.spotify.client",
    "title": "Spotify: Music and Podcasts",
    "artistName": "Spotify",
    "developer": {
        "name": "Spotify",
        "website": "https://www.spotify.com/",
        "artistId": 324684583,
        "artistViewUrl": "https://apps.apple.com/us/developer/spotify/id324684583"
    },
    "averageUserRating": 4.78,
    "userRatingCount": 40406484,
    "formattedPrice": "Free",
    "primaryGenreName": "Music",
    "genreList": ["Music", "Entertainment"],
    "version": "9.1.50",
    "releaseNotes": "We're always making changes…",
    "fileSizeBytes": "287000000",
    "minimumOsVersion": "16.1",
    "contentAdvisoryRating": "12+",
    "releaseDate": "2011-07-14T…",
    "currentVersionReleaseDate": "2026-06-11T…",
    "screenshotUrls": ["https://…"],
    "trackViewUrl": "https://apps.apple.com/us/app/id324684580",

    "isFree": true,
    "priceValue": 0,
    "fileSizeMB": 274.3,
    "daysSinceUpdated": 3,
    "ageYears": 14.9,
    "recentlyUpdated": true,
    "screenshotCount": 8,
    "languageCount": 61,
    "isUniversal": true,
    "scrapedAt": "2026-06-14T12:00:00.000Z"
}
```

A review record (`type: "review"`):

```json
{
    "type": "review",
    "appId": "324684580",
    "reviewId": "12387654321",
    "userName": "Omar M.",
    "score": 5,
    "title": "Best music app",
    "text": "Spotify is my go-to for music and podcasts…",
    "appVersion": "9.1.50",
    "voteSum": 3,
    "voteCount": 3,
    "updated": "2026-06-13T10:49:06.000Z",
    "scrapedAt": "2026-06-14T12:00:00.000Z"
}
```

**Coverage notes.** App data comes from Apple's own iTunes endpoints, so the core fields (title, developer, rating, price, version, category) are near-universal; optional fields (release notes, screenshots, advisories) appear when Apple publishes them. Apple's public review feed exposes roughly the **latest ~500 reviews per app** (50 per page, up to 10 pages) — use monitoring mode on a schedule to accumulate more over time. Apple does **not** publish developer email addresses, so the developer block carries name, website and developer-page URL only. Empty results (e.g. an app with no reviews) are reported as a successful run.

### Monitoring — get only new apps & reviews

Turn on **`monitorMode`** to make repeat runs incremental. The actor remembers what it has already returned (app IDs for search/charts/developer modes; review IDs for reviews mode) in a named key-value store (**`monitorStoreName`**) and emits **only records that are new since the last run**.

- Track a **category chart** or a **keyword** and get only *new apps* as they appear.
- Track an **app's reviews** and capture only the *newest reviews* each run — perfect for sentiment dashboards and support alerts.
- It works **alongside [Apify Schedules](https://docs.apify.com/platform/schedules)**, not against them: the schedule triggers the run on your cron; monitoring mode dedupes against earlier runs so each run yields only fresh data. Use a distinct `monitorStoreName` per tracked target so their histories stay separate.

### How much does it cost to scrape Apple App Store?

This Actor uses Apify's **pay-per-event** pricing: you are charged only for the results it delivers, with no monthly rental and no start fee. The events it can charge are:

- **App Scraped** - One App Store app - full metadata (ratings, price, category, version, size, release notes, screenshots) plus developer info.
- **Review Scraped** - One user review - rating, title, text, app version, helpful-vote count and date.

The current price of each event is shown on the **Pricing** tab of this page. Set a maximum total charge on the run if you want a hard cap on spend, and use the input limits to control how much the Actor fetches.

### Automate & schedule

Run this actor on autopilot and pull results into your own stack:

- **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, and manage schedules over REST.
- **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs.
- **[Schedules](https://docs.apify.com/platform/schedules)** — run it on a cron to keep your data fresh.
- **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions the moment a run finishes.

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

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/app-store-scraper').call({
    mode: 'topCharts',
    collection: 'TOP_FREE',
    genre: '6015',
    maxAppsPerQuery: 50,
    country: 'us',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);
```

### Integrate with any app

Connect the dataset to 5,000+ apps — no code required:

- **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios.
- **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new records straight into your CRM or sheet.
- **[Slack](https://docs.apify.com/platform/integrations/slack)** — get notified when a run finds something new.
- **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet.
- **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse.
- **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases.

### Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "find the top 25 free finance apps on the App Store and summarise their ratings" and let it run this scraper for you.

### Agent-ready: autonomous payments (x402 & Skyfire)

This actor is **agent-ready** — AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards:

- **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key.
- **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

### More scrapers from scrapesage

Build a complete **app-market & competitive-intel stack** — pair App Store data with the Play Store, ads, hiring and outreach signals:

- **[Google Play Scraper](https://apify.com/scrapesage/google-play-scraper)** — the Android side of the same app: search, app details, top charts, developer portfolios, reviews **and developer-contact leads**. Run both for full cross-platform coverage.
- **[Product Hunt Scraper](https://apify.com/scrapesage/product-hunt-scraper)** — new product launches, makers & maker leads.
- **[Google Ads Transparency Scraper](https://apify.com/scrapesage/google-ads-transparency-scraper)** — see exactly which ads any advertiser is running.
- **[Facebook Ad Library Scraper](https://apify.com/scrapesage/facebook-ad-library-scraper)** — competitor ad creatives on Meta & Instagram.
- **[LinkedIn Jobs Scraper](https://apify.com/scrapesage/linkedin-jobs-scraper)** — job postings as hiring-intent signals.
- **[Multi-ATS Job Scraper](https://apify.com/scrapesage/multi-ats-job-scraper)** — jobs from Greenhouse, Lever, Ashby, Workday & more.
- **[SAM.gov Scraper](https://apify.com/scrapesage/sam-gov-scraper)** — US federal contract opportunities & contacts.
- **[Eventbrite Scraper](https://apify.com/scrapesage/eventbrite-scraper)** — events plus organizer leads with contacts.
- **[Telegram Scraper](https://apify.com/scrapesage/telegram-scraper)** — channels, messages, media & search.
- **[Airbnb Scraper](https://apify.com/scrapesage/airbnb-scraper)** — listings, prices, availability & market monitor.

### Tips

- **Charts:** pick a `collection` (free/paid/grossing) and a `genre`, set `country`, and keep `fullDetails` on for the complete per-app record; turn it off for a faster, lighter ranked list.
- **Reviews at scale:** Apple caps the public feed at ~500 newest reviews per app — schedule the run with monitoring mode to keep accumulating new reviews over days and weeks.
- **Monitoring:** give each tracked target its own `monitorStoreName`, then schedule the run — you'll only ever process new records.
- **Localize:** set `country` (and optionally `language`) to match the storefront you care about; rankings, pricing and the review pool all change by country.
- **Flexible IDs:** mix numeric App Store IDs, bundle IDs and App Store URLs freely in `appIds` — the actor resolves them all.

### FAQ

**Do I need an Apple account or API key?** No. This actor reads Apple's public iTunes/App Store endpoints — no login, key, or cookies.

**How many reviews can I get per app?** Apple's public review feed exposes roughly the latest 500 per app (50 per page, up to 10 pages). Use monitoring mode on a schedule to keep capturing new reviews over time.

**Does it include developer email addresses?** No — Apple doesn't publish developer emails on the App Store. The developer block carries the developer's name, website and developer-page URL.

**Can I scrape a specific country's store?** Yes — set `country` (and optionally `language`). Charts, prices, availability and reviews are all storefront-specific.

**Can I export to Google Sheets, CSV, or Excel?** Yes — one click in the dataset view, or automatically on every run via the [Google Drive integration](https://docs.apify.com/platform/integrations/drive).

**Is scraping the App Store legal?** This actor collects publicly available data only. You're responsible for using the data in compliance with applicable laws (e.g. GDPR/CCPA for personal data) and Apple's terms.

### Disclaimer

**This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Apple Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.**

"Apple App Store" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official Apple App Store product, is not authorised or certified by Apple Inc., and does not distribute Apple App Store software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.

### Need help?

Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained.

# Actor input Schema

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

Pick a job. Search finds apps by keyword. App details pulls the full record for specific apps. Top charts lists the top free/paid/grossing apps in a category. Developer apps returns a developer's whole portfolio. Reviews pulls user reviews for specific apps.

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

Keywords to search the App Store for, e.g. `habit tracker`, `crypto wallet`. One row per term. (Mode: Search.)

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

Numeric App Store IDs (e.g. `324684580`), bundle IDs (e.g. `com.spotify.client`), or full App Store URLs. Used by the App details and Reviews modes.

## `collection` (type: `string`):

Which ranking to pull. (Mode: Top charts.)

## `genre` (type: `string`):

Category for the top chart, or `All apps` for the overall chart. (Mode: Top charts.)

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

Numeric developer (artist) IDs, e.g. `324684583`, or App Store developer URLs like `https://apps.apple.com/us/developer/spotify/id324684583`. Returns every app in their portfolio. (Mode: Developer apps.)

## `maxAppsPerQuery` (type: `integer`):

Cap the number of apps returned per search term, chart, or developer (Apple returns up to 200).

## `fullDetails` (type: `boolean`):

For Top charts, open each ranked app for the complete record (full description, ratings, version, size, release notes, screenshots…). Search and Developer modes already return full records. Turn off for a faster, lighter chart listing.

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

How many reviews to fetch per app, newest first by default. Apple's public review feed exposes roughly the latest 500 per app (50 per page, 10 pages). (Mode: Reviews.)

## `reviewsSort` (type: `string`):

Order in which reviews are pulled. (Mode: Reviews.)

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

Two-letter App Store storefront code (e.g. `us`, `gb`, `de`, `jp`). Affects rankings, pricing, availability and the review pool.

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

Optional Apple language tag for app metadata, e.g. `en_us`, `de_de`, `fr_fr`. Leave blank to use the storefront default.

## `monitorMode` (type: `boolean`):

Remember what was already returned and emit ONLY records not seen in previous runs (new apps for a search/chart, or new reviews for an app). Pairs with Apify Schedules to track changes over time.

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

Named key-value store that holds the 'already seen' ids for monitoring mode. Use a different name per tracked target/query to keep their histories separate.

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

Maximum parallel requests. Lower it if you hit rate limits on very large runs.

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

Proxy settings. Apple's public endpoints have no hard anti-bot, so the default Apify proxy is plenty; switch to residential for very large or high-frequency runs.

## Actor input object example

```json
{
  "mode": "search",
  "searchTerms": [
    "habit tracker"
  ],
  "appIds": [
    "324684580"
  ],
  "collection": "TOP_FREE",
  "genre": "ALL",
  "maxAppsPerQuery": 50,
  "fullDetails": true,
  "maxReviewsPerApp": 100,
  "reviewsSort": "mostrecent",
  "country": "us",
  "language": "",
  "monitorMode": false,
  "monitorStoreName": "app-store-monitor",
  "maxConcurrency": 6,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

All scraped records in the default dataset. App rows carry full metadata and developer info; review rows carry the user feedback.

# 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 = {
    "searchTerms": [
        "habit tracker"
    ],
    "appIds": [
        "324684580"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/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 = {
    "searchTerms": ["habit tracker"],
    "appIds": ["324684580"],
}

# Run the Actor and wait for it to finish
run = client.actor("scrapesage/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 '{
  "searchTerms": [
    "habit tracker"
  ],
  "appIds": [
    "324684580"
  ]
}' |
apify call scrapesage/app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesage/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/Pu5DHi9GaTj1aEVio/builds/Ojo2H6Ayf1IAONRzd/openapi.json