# Apple App Store Reviews Scraper (No Login) (`pj_pai/app-store-reviews-scraper`) Actor

Scrape the latest iOS App Store reviews for any app by ID, URL or search term, in any country storefront: rating, title, text, author, app version and votes, plus app metadata (developer, average rating, rating count, genre). Filter to negative reviews.

- **URL**: https://apify.com/pj_pai/app-store-reviews-scraper.md
- **Developed by:** [Rakesh Pai](https://apify.com/pj_pai) (community)
- **Categories:** E-commerce, Developer tools
- **Security:** Limited permissions
- **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?

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

## Apple App Store Reviews Scraper (No Login)

Scrape the latest iOS App Store reviews for any app by ID, URL or search term, in any country storefront: rating, title, text, author, app version and votes, plus app metadata (developer, average rating, rating count, genre). Filter to negative reviews.

**Data source:** Apple's public iTunes Search/Lookup API and the App Store customer-reviews RSS feed (itunes.apple.com), which expose up to the 500 most recent reviews per app and country. It needs no login, proxy or browser. Results are returned as clean, flat JSON that is ready for spreadsheets, databases, BI tools and AI agents.

### What can you use it for?

- Monitor reviews of your app and competitors (schedule daily)
- Collect negative reviews for product research and bug triage
- Sentiment analysis and AI summarization of user feedback
- Compare ratings across countries
- Use it as a tool from AI agents through the Apify MCP server, or schedule it and send new results to Slack, Google Sheets or a webhook

### Input

| Field | Name | Description |
|---|---|---|
| `appIds` | App IDs or App Store URLs | e.g. 1232780281 or https://apps.apple.com/us/app/notion/id1232780281 |
| `searchTerms` | Search terms | Find apps by name and scrape their reviews |
| `maxApps` | Apps per search term | Top N apps per search term |
| `country` | Country storefront | Two-letter country code, e.g. us, gb, de, in |
| `maxReviewsPerApp` | Max reviews per app | Apple exposes at most the 500 most recent reviews |
| `maxRating` | Max star rating | Only reviews with this many stars or fewer (e.g. 2 for negative reviews) |
| `includeAppRowWhenNoReviews` | Output app row when no reviews | Emit one metadata row for apps with no matching reviews |

#### Example input

```json
{
  "appIds": [
    "1232780281"
  ],
  "maxReviewsPerApp": 10,
  "country": "us"
}
```

### Output

Each result is one dataset item with these fields: `appId`, `appName`, `developer`, `bundleId`, `appRating`, `appRatingCount`, `appVersion`, `appUrl`, `genre`, `price`, `country`, `reviewId`, `rating`, `title`, `review`, `author`, `reviewedVersion`, `voteCount`, `voteSum`, `reviewedAt`.

#### Example output (real result, long fields shortened)

```json
{
  "appId": "1232780281",
  "appName": "Notion: Notes, Tasks, AI",
  "developer": "Notion Labs, Incorporated",
  "bundleId": "notion.id",
  "appRating": 4.77482,
  "appRatingCount": 90554,
  "appVersion": "1.7.350",
  "appUrl": "https://apps.apple.com/us/app/notion-notes-tasks-ai/id1232780281?uo=4",
  "genre": "Productivity",
  "price": 0,
  "country": "us",
  "reviewId": "14724438784",
  "rating": 5,
  "title": "I LOVE NOTION !",
  "review": "Literally my Go-To for all things productivity and keeping my brain organized and cute at the same time 🤣🩷",
  "author": "Sheya the Admin Girlie 🌸",
  "reviewedVersion": "1.7.350",
  "voteCount": 0,
  "voteSum": 0,
  "reviewedAt": "2026-10-28T22:37:23-07:00"
}
```

Download the results as JSON, CSV, Excel or XML, or read them through the Apify API.

### Pricing

This Actor uses **pay-per-event** pricing. You pay **$0.0005 per review** returned, plus standard Apify platform usage, which is small because the Actor uses lightweight HTTP requests (no browser). You are never charged for results that are not returned. To cap spending, set a maximum cost per run in the run options.

### Tips

- Start with a small max-results value to check your filters, then scale up.
- Schedule the Actor (for example daily) to monitor changes over time.
- The data comes straight from the source, so its freshness and completeness depend on that publisher.

### Disclaimer

This Actor is not affiliated with or endorsed by any website, platform or data publisher named here. Use it in line with the target sites' terms and applicable privacy laws (e.g. GDPR/CAN-SPAM for contact data). Verify critical decisions against the official source.

# Actor input Schema

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

e.g. 1232780281 or https://apps.apple.com/us/app/notion/id1232780281

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

Find apps by name and scrape their reviews

## `maxApps` (type: `integer`):

Top N apps per search term

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

Two-letter country code, e.g. us, gb, de, in

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

Apple exposes at most the 500 most recent reviews

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

Only reviews with this many stars or fewer (e.g. 2 for negative reviews)

## `includeAppRowWhenNoReviews` (type: `boolean`):

Emit one metadata row for apps with no matching reviews

## Actor input object example

```json
{
  "appIds": [
    "1232780281"
  ],
  "maxApps": 3,
  "country": "us",
  "maxReviewsPerApp": 100,
  "maxRating": 5,
  "includeAppRowWhenNoReviews": false
}
```

# Actor output Schema

## `results` (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 = {
    "appIds": [
        "1232780281"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("pj_pai/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 = { "appIds": ["1232780281"] }

# Run the Actor and wait for it to finish
run = client.actor("pj_pai/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 '{
  "appIds": [
    "1232780281"
  ]
}' |
apify call pj_pai/app-store-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,pj_pai/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/gg2S2P2dpW2oIuwHz/builds/BE8nAes9RzZUnFv3A/openapi.json