# Apple App Store Reviews Scraper (`herus13/apple-app-store-scraper`) Actor

Scrape Apple App Store apps and reviews by keyword or app ID, across as many country storefronts as you like. Every review row carries rating, title, text, author_name, review_date and country. Export JSON, CSV or Excel, or pull it from the API.

- **URL**: https://apify.com/herus13/apple-app-store-scraper.md
- **Developed by:** [herus13](https://apify.com/herus13) (community)
- **Categories:** Developer tools, Marketing, SEO tools
- **Features:** Limited permissions
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.30 / 1,000 per reviews

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?

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

The Apple App Store Reviews Scraper extracts app reviews and app listings from the [Apple App Store](https://apps.apple.com) by keyword search or app ID, across as many country storefronts as you name. Every review row carries the star rating, title, text, author, date and storefront.

### What you get

One dataset row per review, ready to export as JSON, CSV or Excel.

```json
{
  "review_id": "11994640656",
  "app_id": "324684580",
  "author_name": "l.lacx",
  "rating": 5,
  "title": "Favorite app ever",
  "text": "I personally love this app. I have had it for over 4 years, and it's been an app I use daily.",
  "review_date": "2024-11-26T17:10:59.000Z",
  "country": "us",
  "scraped_at": "2026-07-10T13:36:13.824529+00:00",
  "_meta": {"author": "https://apify.com/herus13", "status": "ok", "message": null}
}
```

`_meta` is run metadata, not scraped data. If the run fails or stops early, a row with only `_meta` (status `failed` or `stopped`, the reason in `message`) explains why; those rows are never charged.

Search by keyword and each matching app also arrives as its own row, with `developer`, `icon_url`, `category`, `rating`, `rating_count`, `is_free`, `price`, `currency` and the canonical App Store `url`. Both row types carry `platform`, set to `app_store`, which is the same discriminator the Google Play actors use, so an iOS and an Android export merge without remapping a single column.

### What it costs

| Event | Free | Bronze | Silver | Gold+ |
|---|---|---|---|---|
| Per review (`review`) | $0.0017 | $0.0015 | $0.0014 | $0.0013 |
| Per app (`app-search-result`) | $0.003 | $0.003 | $0.003 | $0.003 |
| Actor Start (`apify-actor-start`) | $0.001 | $0.001 | $0.001 | $0.001 |

You pay per review and per app, never per minute: $0.0017 a review on the Free tier ($0.0013 from Gold upward), $0.003 an app returned by a keyword search, and $0.001 to start a run. One app across three storefronts is at most 24 reviews, about $0.042. A thousand reviews is $1.70 on the Free tier, and the residential proxy every run needs is included in that price.

### Input

| Field | Type | Required | Default | What it does |
|---|---|---|---|---|
| `app_ids` | array | no | — | Apps to pull reviews for, one numeric App Store ID or full apps.apple.com URL per entry, for example `324684580` or `https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580`. Each app returns its reviews in every storefront listed in `countries`. Leave empty to work from `search_queries` instead; provide at least one of `app_ids` or `search_queries`. |
| `search_queries` | array | no | — | Keywords to search the App Store with, one per entry, for example `meditation app`. Each keyword returns the apps that match it as rows carrying developer, category, price and aggregate rating, and then the reviews of those apps. Leave empty to work from `app_ids` instead; provide at least one of `search_queries` or `app_ids`. |
| `countries` | array | no | — | App Store storefronts to cover, one two-letter country code per entry, for example `us`, `gb`, `de`. The storefront decides which apps a search returns and which reviews come back: every country carries its own distinct set of up to 8 reviews per app, so listing more countries returns more reviews. Leave empty to use the United States storefront (`us`). |
| `max_apps_per_search` | integer | no | `10` | How many apps to keep from each entry in `search_queries`, from 1 to 250. Default 10. Every kept app becomes one row and has its reviews collected in each country you list, so this is the main lever on how much a keyword run returns and costs. Apps given directly in `app_ids` are not affected. |
| `rating_filter` | array | no | — | Keep only reviews with these star ratings; tick any of 1, 2, 3, 4 and 5. Leave empty to keep every rating. The App Store publishes a fixed set of up to 8 reviews per app per country, so this narrows that set rather than reaching further back — add more `countries` when you want a larger review sample. |
| `date_from` | string | no | — | Keep only reviews published on or after this date, written as YYYY-MM-DD, for example 2026-01-01. Leave empty for no lower bound. Set it together with `date_to` to take a single window. |
| `date_to` | string | no | — | Keep only reviews published on or before this date, written as YYYY-MM-DD, for example 2026-06-30. Leave empty for no upper bound. Set it together with `date_from` to take a single window. |
| `proxyUrls` | array | no | — | Leave empty and the run uses the residential proxy this actor ships with, included in the price of the run. To route the run through your own account instead, add one gateway URL per entry, for example http://user:pass@host:port — works with any provider that issues URLs. When set, the run uses these first and switches to the included proxy if they stop working, so a broken proxy never fails the run. |

### How to run it

1. Open the actor on Apify Console and click **Try for free**.
2. Put app IDs or `apps.apple.com` URLs into **App IDs or URLs**, or keywords into **Search Queries**.
3. List the storefronts you want in **Countries**, then Run. Export JSON, CSV or Excel from the dataset.

```json
{
  "app_ids": ["324684580"],
  "search_queries": ["meditation app"],
  "countries": ["us", "gb", "de"],
  "max_apps_per_search": 5,
  "rating_filter": ["1", "2"],
  "date_from": "2026-01-01"
}
```

Minimal input:

```json
{
  "app_ids": ["324684580"]
}
```

Available as the MCP tool `herus13--apple-app-store-scraper` on mcp.apify.com and through the Apify API; send the same JSON.

### Why this scraper

- **Storefronts multiply your sample.** Apple publishes a fixed set of up to 8 reviews per app per country. Those sets are genuinely different — a live check across US, GB and DE for the same app found zero overlapping review IDs — so every country you add is new feedback, not duplicates.
- **Search and direct lookup in one run.** Give app IDs when you know the apps, keywords when you are still mapping a category, or both at once.
- **Ratings, dates and text arrive structured.** No screen-scraped blobs to parse afterwards; `rating`, `review_date` and `text` are separate typed fields from the first row.
- **Built to merge with Android.** Matching field names and a shared `platform` column mean one warehouse table covers both stores.
- **Nothing to set up.** No account, no keys, no proxy configuration; a residential proxy is included in the price of the run.

### Use cases

- **Rating monitoring per market** — App Store ratings are per country, and a problem usually surfaces in one market before it shows up in the global average. Schedule a weekly run across your storefronts and watch each trend on its own.
- **Feature requests and bug triage** — Review title, text, author and date come back structured, so they route straight into a classifier or a support queue instead of being read by hand.
- **Competitor benchmarking** — Search a keyword to see which apps rank for it, then read those apps' reviews and listing metadata in the same run.
- **ASO reporting** — Aggregate rating, rating count, category and price per app across storefronts give the listing side of an App Store Optimization dashboard.
- **Cross-platform app intelligence** — Pair it with the Google Play scrapers for one view of the same app on both stores rather than the iOS half.

### FAQ

**Why do I only get 8 reviews per app per country?** That is Apple's own limit, not this actor's. The public App Store listing exposes a fixed set of up to 8 reviews per country per app. Add more entries to `countries` to grow the sample — each storefront's set is distinct.

**Can I use an App Store URL instead of a numeric ID?** Yes. Paste the full `apps.apple.com` URL into **App IDs or URLs** and the numeric ID is read from it.

**What happens if I give both app IDs and search queries?** Both run. Reviews come back for the app IDs you gave, and each keyword also resolves its own apps and reviews.

**Why are `price` and `currency` null for some apps?** They are null for free apps; the App Store listing carries no price when `is_free` is `true`.

**Is a proxy included?** A residential proxy is included in the price of the run. To use your own, paste gateway URLs into **Your own proxy URLs**.

**What happens if my input is wrong?** The run stops before it scrapes anything, so no results are charged. Its status and log name each field that is wrong and say what to change — fix the input and run again.

**Is scraping the Apple App Store legal?** This actor collects only publicly available app listing and review data. You are responsible for complying with Apple's terms and applicable laws. Do not collect personal data without a lawful basis.

### Related actors

Building a cross-platform view of an app? Pair this actor with:

- [Google Play App Search & Reviews Scraper](https://apify.com/herus13/google-play-reviews-scraper) — the Android counterpart, with matching field names and a shared `platform` column.
- [Google Play Review Monitor](https://apify.com/herus13/google-play-review-monitor) — new Android reviews only, on a schedule.
- [YouTube Transcript Scraper](https://apify.com/herus13/youtube-transcript-scraper) — transcripts of the review and tutorial videos your app appears in.

# Actor input Schema

## `app_ids` (type: `array`):

Apps to pull reviews for, one numeric App Store ID or full apps.apple.com URL per entry, for example `324684580` or `https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580`. Each app returns its reviews in every storefront listed in `countries`. Leave empty to work from `search_queries` instead; provide at least one of `app_ids` or `search_queries`.

## `search_queries` (type: `array`):

Keywords to search the App Store with, one per entry, for example `meditation app`. Each keyword returns the apps that match it as rows carrying developer, category, price and aggregate rating, and then the reviews of those apps. Leave empty to work from `app_ids` instead; provide at least one of `search_queries` or `app_ids`.

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

App Store storefronts to cover, one two-letter country code per entry, for example `us`, `gb`, `de`. The storefront decides which apps a search returns and which reviews come back: every country carries its own distinct set of up to 8 reviews per app, so listing more countries returns more reviews. Leave empty to use the United States storefront (`us`).

## `max_apps_per_search` (type: `integer`):

How many apps to keep from each entry in `search_queries`, from 1 to 250. Default 10. Every kept app becomes one row and has its reviews collected in each country you list, so this is the main lever on how much a keyword run returns and costs. Apps given directly in `app_ids` are not affected.

## `rating_filter` (type: `array`):

Keep only reviews with these star ratings; tick any of 1, 2, 3, 4 and 5. Leave empty to keep every rating. The App Store publishes a fixed set of up to 8 reviews per app per country, so this narrows that set rather than reaching further back — add more `countries` when you want a larger review sample.

## `date_from` (type: `string`):

Keep only reviews published on or after this date, written as YYYY-MM-DD, for example 2026-01-01. Leave empty for no lower bound. Set it together with `date_to` to take a single window.

## `date_to` (type: `string`):

Keep only reviews published on or before this date, written as YYYY-MM-DD, for example 2026-06-30. Leave empty for no upper bound. Set it together with `date_from` to take a single window.

## `proxyUrls` (type: `array`):

Leave empty and the run uses the residential proxy this actor ships with, included in the price of the run. To route the run through your own account instead, add one gateway URL per entry, for example http://user:pass@host:port — works with any provider that issues URLs. When set, the run uses these first and switches to the included proxy if they stop working, so a broken proxy never fails the run.

## Actor input object example

```json
{
  "app_ids": [
    "324684580"
  ],
  "countries": [
    "us"
  ],
  "max_apps_per_search": 10
}
```

# Actor output Schema

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

App search results and reviews for each requested/discovered app. Every row also carries `_meta`: run metadata, not scraped data.

# 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 = {
    "app_ids": [
        "324684580"
    ],
    "countries": [
        "us"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("herus13/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 = {
    "app_ids": ["324684580"],
    "countries": ["us"],
}

# Run the Actor and wait for it to finish
run = client.actor("herus13/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 '{
  "app_ids": [
    "324684580"
  ],
  "countries": [
    "us"
  ]
}' |
apify call herus13/apple-app-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,herus13/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/HuGwyus36vQinZ6zk/builds/Kt3y7p0d4z4U23PRe/openapi.json