# App Store Review Scraper - iOS App Reviews + Metadata (`fetchcraft/app-store-review-scraper`) Actor

Pull recent iOS App Store reviews and app metadata for any iOS app and country. Useful for competitor analysis, voice-of-customer research, and ASO. Returns rating, title, snippet, version, country, helpful count, developer reply. $0.01 per app x country.

- **URL**: https://apify.com/fetchcraft/app-store-review-scraper.md
- **Developed by:** [Emily Ward](https://apify.com/fetchcraft) (community)
- **Categories:** Business, Developer tools, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 app x country pair scrapeds

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

## iOS App Store Intelligence

![App Store Review Scraper - iOS Reviews + Metadata](https://ai-sales-personalizer.vercel.app/og/app-store-review-scraper.png)

**Drop in iOS app IDs + country codes. Get back full app metadata, ratings, version history, languages, file size, screenshots, and computed signals (active-maintenance flag, ratings/day).**

Pure scraper. Uses Apple's iTunes Lookup API. No login, no tokens, no Claude dependency.

### What you get back per (app + country) combination

40+ fields including:

| Category | Fields |
| --- | --- |
| Identity | `app_name`, `bundle_id`, `seller_name`, `artist_name`, `track_view_url` |
| Pricing | `price`, `formatted_price`, `currency`, `is_free` |
| Ratings | `average_user_rating`, `user_rating_count`, `average_user_rating_current_version`, `user_rating_count_current_version`, `ratings_per_day_lifetime` |
| Version | `version`, `version_release_date`, `days_since_update`, `is_actively_maintained`, `release_notes` |
| Genre | `primary_genre`, `all_genres`, `content_advisory_rating` |
| Localization | `languages`, `supported_devices`, `minimum_os_version` |
| Assets | `artwork_url_512`, `screenshot_urls`, `ipad_screenshot_urls` |
| Content | `description`, full release notes |
| Computed | `age_days`, `days_since_update`, `is_actively_maintained`, `ratings_per_day_lifetime` |

### Why this beats writing your own iTunes Lookup script

- Bulk-ready: pass 200 app IDs across 10 countries in one run.
- Computed signals: `is_actively_maintained` (last update < 90 days), `ratings_per_day_lifetime` (popularity velocity), `is_free` (clean boolean), `file_size_mb` (parsed, not bytes string).
- Dataset-native output: streams to Apify Dataset, export to CSV / JSON / Sheets.
- Per-country comparison: see how the same app's rating + pricing varies across markets.

### Pricing

**$0.10 per (app + country) combination.** Failed lookups (404, missing in country) are not charged.

| Use case | Apps | Countries | Cost |
| --- | --- | --- | --- |
| Single app global scan | 1 | 10 | $1.00 |
| Competitive sweep | 10 | 3 | $3.00 |
| Quarterly portfolio audit | 50 | 5 | $25.00 |

Compare to AppFigures at $239/mo, Sensor Tower starting $400/mo, Asodesk at $43/mo.

### How to find your app ID

Open the app in the App Store, copy the URL. The ID is the numeric portion after `/id`:

`https://apps.apple.com/us/app/spotify-music-and-podcasts/id324684580` becomes app ID `324684580`.

### Use cases

- **App PMs**: Track competitor rating velocity. The `ratings_per_day_lifetime` field surfaces fast-growing apps before headlines pick them up.
- **ASO teams**: Compare app metadata across countries to spot localization gaps.
- **Mobile marketing**: Find apps with `is_actively_maintained = false` to pitch as acquisition targets or rebuild opportunities.
- **VCs**: Due-diligence sentiment + version history check. The `days_since_update` flag surfaces abandoned products.
- **Recruiters**: Identify mobile app studios via `seller_name` + `artist_id` patterns.

### Country codes (common)

`us`, `gb`, `au`, `ca`, `de`, `fr`, `jp`, `kr`, `cn`, `in`, `br`, `mx`, `es`, `it`, `nl`, `se`, `no`, `dk`, `fi`, `nz`

Full list: ISO 3166-1 alpha-2, lowercase.

### What this actor does NOT do

- It does not scrape individual user review text. Apple deprecated the customer reviews RSS in 2025. Only metadata + aggregate ratings remain available.
- It does not scrape Google Play (different API, different actor needed).
- It does not perform sentiment analysis. Pair with our `cold-email-rewriter` actor or feed `release_notes` to Claude separately.

### Tags

`app-store` `ios` `aso` `mobile-apps` `competitive-intelligence` `app-metadata` `ratings`

***

Made by Emily Ward, Cancel Costs.

### Pairs well with

- **[producthunt-daily-scraper](https://apify.com/fetchcraft/producthunt-daily-scraper)**: Cross-reference app-store reviews with recent PH launches. $0.005 per product.
- **[contact-details-extractor](https://apify.com/fetchcraft/contact-details-extractor)**: Pull developer contact details from associated websites. $0.01 per site.
- **[seo-competitor-gap](https://apify.com/fetchcraft/seo-competitor-gap)**: Mine review themes for content gap opportunities. $0.05 per competitor.

### Integrations

This actor works out of the box with every Apify-supported integration:

- **API**: call via Apify API or any official SDK (Python, JavaScript, PHP, .NET). Returns a clean dataset URL.
- **Schedule**: set a daily, weekly, or custom cron cadence in Apify Console. Combine with `notification` for fresh feeds.
- **Webhooks**: wire `ACTOR.RUN.SUCCEEDED` to Slack, Discord, Zapier, Make, n8n, Pipedream, or any HTTPS endpoint.
- **MCP**: this actor is discoverable through Apify's hosted MCP server at `mcp.apify.com` for Claude, Cursor, Cline, Windsurf, and other MCP clients.
- **n8n / Make / Zapier**: native HTTP-Request integration. Trigger the actor on schedule, pipe results to Google Sheets, Airtable, your CRM, or any database.

### Try it free

Every Apify user gets **$5/month in free platform credits** (around 250 events at this actor's per-event price). Run preview mode first to confirm output shape before scaling.

New to Apify? [Sign up here](https://apify.com/sign-up?fpr=fetchcraft) to get free credits on signup.

### What's New

- 2026-06-03: Metadata, categories, and SEO refreshed. Latest version live on Apify Store.

### Last Updated

2026-06-03

# Actor input Schema

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

List of iOS app IDs (the numeric ID, e.g. 324684580 for Spotify). Find it in the App Store URL: apps.apple.com/us/app/.../idXXXXXXXXX

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

ISO country codes to look up (us, au, gb, ca, de, fr, etc). One app x country = one charged lookup. Use this to compare rating/pricing across markets.

## Actor input object example

```json
{
  "app_ids": [
    "324684580",
    "6448311069"
  ],
  "countries": [
    "us",
    "au"
  ]
}
```

# 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",
        "6448311069"
    ],
    "countries": [
        "us",
        "au"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fetchcraft/app-store-review-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",
        "6448311069",
    ],
    "countries": [
        "us",
        "au",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("fetchcraft/app-store-review-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",
    "6448311069"
  ],
  "countries": [
    "us",
    "au"
  ]
}' |
apify call fetchcraft/app-store-review-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fetchcraft/app-store-review-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/6DYWrDkn6lHrjG7tr/builds/8xUbnURnULG2z6aMT/openapi.json