# App Store Reviews Scraper – Any App, Any Country (`fetchsmith/app-store-reviews-scraper`) Actor

Extract Apple App Store reviews for any iOS app and country: rating, title, text, version, author, date, plus app metadata. Fast, HTTP-only, pay per review.

- **URL**: https://apify.com/fetchsmith/app-store-reviews-scraper.md
- **Developed by:** [Fetch Smith](https://apify.com/fetchsmith) (community)
- **Categories:** E-commerce, Marketing, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.50 / 1,000 reviews

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

## App Store Reviews Scraper (Apple)

Get customer reviews for any iOS / macOS app from the Apple App Store, for any country storefront, as JSON, CSV or Excel. Each review includes rating, title, text, app version, author and date, plus optional app metadata (name, developer, average rating, rating count). Pay only per review returned.

### Use cases

- Product research and competitor analysis across countries
- Sentiment analysis, feature-request mining, churn reasons
- Monitoring your own app's newest reviews on a schedule
- Feeding reviews into AI agents and dashboards

### Input

| Field | Type | Description |
|---|---|---|
| `apps` | array | App Store URLs or numeric app IDs |
| `countries` | array | Storefront codes, e.g. `us`, `gb`, `de`, `jp`, `br` (default `us`) |
| `countryFallback` | boolean | If a storefront returns nothing, pull that app's reviews from one that works (default `false`) |
| `sort` | string | `mostRecent` (default) or `mostHelpful` |
| `maxReviewsPerApp` | integer | Up to 500 per app per country (Apple's limit) |
| `includeAppInfo` | boolean | Attach app name, developer, average rating and rating count |
| `maxResults` | integer | Total cap |
| `minRating` / `maxRating` | integer | Only keep reviews with a star rating in this range (1-5) |
| `keyword` | string | Only keep reviews whose title or content contains this word/phrase (case-insensitive) |

Filtering happens before you're charged — you never pay for rows that got filtered out.

### Output (one item per review)

```json
{
  "reviewId": "14523209599",
  "appId": "1232780281",
  "country": "us",
  "title": "Great for planning",
  "content": "I use it every day for ...",
  "rating": 5,
  "version": "3.42.0",
  "author": "jane_doe",
  "authorUrl": "https://itunes.apple.com/us/reviews/id...",
  "updatedAt": "2026-09-07T16:13:22-07:00",
  "voteSum": 0,
  "voteCount": 0,
  "appName": "Notion: Notes, Docs, Tasks",
  "developer": "Notion Labs, Incorporated",
  "averageRating": 4.7,
  "ratingCount": 512345
}
```

### Pricing

`result` — charged per review returned. App lookups, empty pages and errors are free. HTTP-only and fast.

### Never silently returns an empty result

Apple's public review feed is full of holes. For one app in one storefront, page 1 can be empty while pages 2 and 7 return a full 50 reviews each; an app can be completely empty under `mostRecent` and have hundreds under `mostHelpful`; and coverage differs per storefront. Most scrapers stop at the first empty page and hand you an empty dataset with a green "succeeded" run. This one:

- **scans Apple's entire page range and skips over the empty pages** instead of treating the first one as the end of the reviews;
- if the sort order you asked for is empty, **retries under the other sort order** — same review pool, and every row records which one it came from in `sortUsed`;
- when a storefront really is empty, probes other storefronts and **tells you which ones have reviews** for that app;
- with `countryFallback: true`, fetches from a working storefront automatically — rows keep the real `country` plus `requestedCountry` and `fallbackUsed: true`, so nothing is mislabelled;
- sets a run status message explaining *why* a run returned few or no rows (empty Apple feed vs. your own rating/keyword filters).

You are never charged for empty pages or for retries.

### FAQ

**Why did my run return 0 reviews with status SUCCEEDED?** Check the run's status message first — it tells you whether Apple's feed was genuinely empty for that app/storefront or your own `minRating`/`maxRating`/`keyword` filters removed every row.
**Can I get more than 500 reviews for one app?** No — Apple's public feed caps at 500 most-recent reviews per app per country. Run on a schedule and deduplicate by `reviewId` to build a larger archive over time.
**Does `countryFallback` change the `country` field on rows I already have?** No — fallback rows are clearly tagged with `fallbackUsed: true` and keep both the real `country` they came from and the `requestedCountry` you asked for.
**Do I get charged for empty pages or retries?** No — only reviews actually returned to the dataset are charged.

### Notes

Apple exposes the most recent 500 reviews per app per country. For historical archives, run on a schedule and deduplicate by `reviewId`. ## Related guides
Engineering write-ups behind this Actor:

- [Apple's review feed isn't down — it's picky about your request headers](https://fetchsmith.com/blog/apple-app-store-reviews-header-fingerprint)

Only publicly available data is collected. Support: support@fetchsmith.com · Hosted API: https://fetchsmith.com/tools/app-store-reviews-scraper

Source code: https://github.com/Fetchsmith/fetchsmith/tree/main/actors/app-store-reviews-scraper

# Actor input Schema

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

App Store URLs or numeric app IDs, e.g. https://apps.apple.com/us/app/notion/id1232780281 or 1232780281.

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

Storefront country codes to pull reviews from (each has its own reviews).

## `countryFallback` (type: `boolean`):

Apple's review feed sometimes returns nothing for an app in one storefront while other storefronts have plenty. With this on, the Actor automatically retrieves that app's reviews from a storefront that does have them (rows carry the real 'country' plus 'requestedCountry' and 'fallbackUsed'), instead of finishing with zero results.

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

mostRecent or mostHelpful. Apple's feed is sometimes empty for one sort order and full for the other on the very same app — if the sort you pick returns nothing, the Actor automatically retries under the other one, and every row records which order it came from in 'sortUsed'.

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

Apple exposes up to 500 (10 pages of 50).

## `includeAppInfo` (type: `boolean`):

Attach app name, developer, average rating and rating count to every review.

## `maxResults` (type: `integer`):

Overall cap on the number of reviews across all apps and countries.

## `minRating` (type: `integer`):

Only keep reviews with a star rating >= this (1-5).

## `maxRating` (type: `integer`):

Only keep reviews with a star rating <= this (1-5).

## `keyword` (type: `string`):

Only keep reviews whose title or content contains this word/phrase (case-insensitive).

## Actor input object example

```json
{
  "apps": [
    "https://apps.apple.com/us/app/notion-notes-docs-tasks/id1232780281"
  ],
  "countries": [
    "us"
  ],
  "countryFallback": false,
  "sort": "mostRecent",
  "maxReviewsPerApp": 200,
  "includeAppInfo": true,
  "maxResults": 2000
}
```

# Actor output Schema

## `dataset` (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 = {
    "apps": [
        "https://apps.apple.com/us/app/notion-notes-docs-tasks/id1232780281"
    ],
    "countries": [
        "us"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fetchsmith/app-store-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 = {
    "apps": ["https://apps.apple.com/us/app/notion-notes-docs-tasks/id1232780281"],
    "countries": ["us"],
}

# Run the Actor and wait for it to finish
run = client.actor("fetchsmith/app-store-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 '{
  "apps": [
    "https://apps.apple.com/us/app/notion-notes-docs-tasks/id1232780281"
  ],
  "countries": [
    "us"
  ]
}' |
apify call fetchsmith/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fetchsmith/app-store-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/DLejSH9FkVEhUsklf/builds/RbmEUaTdwwfg5xB1v/openapi.json