# App Store Reviews Scraper (`brightpath-data/app-store-reviews`) Actor

Export Apple App Store reviews for any app across every storefront, both sort orders, with a stable schema

- **URL**: https://apify.com/brightpath-data/app-store-reviews.md
- **Developed by:** [Nick Randall](https://apify.com/brightpath-data) (community)
- **Categories:** Marketing, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 app store review records

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

## App Store Reviews Scraper

Export Apple App Store reviews for any app across every storefront and both sort orders, with a stable schema.

Get structured review data from Apple's public App Store review feed as JSON, CSV or Excel, or call it as a tool from Claude, Cursor, ChatGPT or any MCP client. Pay only for the results you receive.

### What you get

Give it an app by its numeric App Store ID, bundle ID (e.g. `com.spotify.client`) or a full App Store URL, and a list of storefronts, and it returns reviews with title, text, star rating, app version, helpfulness votes and date. Both the "Most Recent" and "Most Helpful" sort orders are supported in the same run, and every review is tagged with the storefront and sort order it came from so you can merge or dedupe as needed.

Every result is a flat record with stable field names, so it drops straight into a spreadsheet, a database or an AI agent's context.

### Why use this instead of the incumbents

- A fraction of the price of the incumbent App Store review scrapers
- Every storefront in one run instead of one country at a time
- Both sort orders in a single call, tagged so you can tell them apart
- Stable schema across runs, unlike incumbents that have changed shape without notice
- Works as an MCP tool, so AI agents can pull sentiment on demand
- No browser, no proxies, no personal data: fast runs and a tiny cost per result

### Input

| Field | Type | Default | Meaning |
|-------|------|---------|---------|
| `appIds` | array | | Numeric App Store IDs, bundle IDs, or App Store URLs |
| `countries` | array | `["us"]` | Two-letter storefront codes, or `["all"]` for every supported storefront |
| `sortOrders` | array | both | `mostRecent`, `mostHelpful`, or both if left empty |
| `maxResults` | integer | 200 | Cap on results saved. You are charged per result, so this caps your cost. |

Example input:

```json
{
  "appIds": ["com.spotify.client"],
  "countries": ["us", "gb"],
  "maxResults": 200
}
```

### Output

Example result:

```json
{
  "appId": "324684580",
  "country": "us",
  "sortBy": "mostRecent",
  "reviewId": "10001",
  "title": "Great app",
  "content": "I use this every day.",
  "rating": 5,
  "appVersion": "8.9.0",
  "voteSum": 12,
  "voteCount": 14,
  "updated": "2026-09-01T00:00:00-07:00"
}
```

Field reference: `appId`, `country`, `sortBy`, `reviewId`, `title`, `content`, `rating` (1 to 5), `appVersion`, `voteSum`, `voteCount`, `updated`. Reviewer names are never collected.

### Pricing

Pay per event. You are charged **$0.50 per 1,000 results** saved to the dataset, plus a fraction of a cent per run start. Nothing is charged for results you do not receive. Set "Max total charge per run" in the run options to cap spending on any run. When a run reaches your cap it stops cleanly and keeps everything it already saved.

Rough guide: 1,000 reviews cost $0.50 and take about 45 seconds.

### Use it from an AI agent (MCP)

This Actor is available as an MCP tool through the Apify MCP server. Add it to your client, then ask the agent for the data in plain language.

Claude Desktop, Claude Code or Cursor (`mcp.json` / `claude_desktop_config.json`):

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?actors=brightpath-data/app-store-reviews",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}
```

ChatGPT and other clients that support remote MCP servers: add `https://mcp.apify.com/?actors=brightpath-data/app-store-reviews` as a connector with your Apify token.

Example prompt once connected: "Pull the 100 most recent US reviews for Spotify and summarize the complaints."

### Use it from code

```bash
curl -X POST "https://api.apify.com/v2/acts/brightpath-data~app-store-reviews/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"appIds":["com.spotify.client"],"countries":["us"],"maxResults":200}'
```

Python:

```python
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("brightpath-data/app-store-reviews").call(run_input={"appIds": ["com.spotify.client"], "countries": ["us"], "maxResults": 200})
items = client.dataset(run["defaultDatasetId"]).list_items().items
```

### Limits and fair use

- Up to 10,000 results per run.
- The reviews feed serves at most 10 pages (about 500 reviews) per app, per storefront, per sort order; run again later for newer reviews.
- Requests are paced at 1.5 seconds apart to stay well under Apple's informal rate limit; a run across many storefronts and both sort orders will take proportionally longer.
- A bundle ID that Apple's lookup API cannot resolve, or a storefront with no reviews for that app, is skipped rather than treated as an error.

### Data source and legal

Data comes from Apple's public customer-reviews RSS-to-JSON feed, served without authentication at `itunes.apple.com`. This Actor collects public, non-personal data only: reviewer names are dropped, and review content remains the property of its authors. This Actor does not bypass logins, paywalls or access controls. You are responsible for how you use the data.

### Support

Found a problem or need a field added? Open an issue on the Actor's Issues tab. Fixes for broken runs are prioritized.

# Actor input Schema

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

Numeric App Store IDs, bundle IDs, or App Store URLs, one per entry (e.g. "284882215", "com.spotify.client", or "https://apps.apple.com/us/app/spotify/id324684580").

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

Two-letter storefront country codes to check, or \["all"] for every supported storefront.

## `sortOrders` (type: `array`):

Which review sort orders to pull. Leave empty for both.

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

Maximum number of reviews to save. You are charged per result saved, so this also caps the cost of a run.

## Actor input object example

```json
{
  "appIds": [
    "com.spotify.client"
  ],
  "countries": [
    "us"
  ],
  "sortOrders": [],
  "maxResults": 200
}
```

# Actor output Schema

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

The dataset with one flat record per result. Append ?format=csv or ?format=xlsx to the URL for other formats.

## `summary` (type: `string`):

OUTPUT record in the key-value store: counts of results pushed and charged, requests, retries and duration.

# 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 = {
    "appIds": [
        "com.spotify.client"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("brightpath-data/app-store-reviews").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 = { "appIds": ["com.spotify.client"] }

# Run the Actor and wait for it to finish
run = client.actor("brightpath-data/app-store-reviews").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 '{
  "appIds": [
    "com.spotify.client"
  ]
}' |
apify call brightpath-data/app-store-reviews --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,brightpath-data/app-store-reviews"
        }
    }
}
```

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/4AbkirapDZsG817ma/builds/Fs2Gl7LK3XRVXcJx3/openapi.json