# App Review Dataset for Sentiment & NLP Training

**Use case:** 

Collect thousands of star-rated banking app reviews across many iOS apps to build a labeled corpus for training sentiment analysis and NLP models.

## Input

```json
{
  "searchTerm": "banking",
  "appIds": [],
  "includeReviews": true,
  "maxReviews": 500,
  "reviewsSort": "mostrecent",
  "country": "us",
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "appName": {
    "label": "App",
    "format": "text"
  },
  "developer": {
    "label": "Developer",
    "format": "text"
  },
  "averageUserRating": {
    "label": "Rating",
    "format": "number"
  },
  "userRatingCount": {
    "label": "Ratings",
    "format": "number"
  },
  "formattedPrice": {
    "label": "Price",
    "format": "text"
  },
  "appStoreUrl": {
    "label": "App Store URL",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [App Store Scraper](https://apify.com/dami_studio/app-store-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dami_studio/app-store-scraper) to learn more, explore other use cases, and run it yourself.