# Extract Top Finance App Data in Germany for Market Trends

**Use case:** 

Identify and extract data for the top-ranking finance applications in the German Play Store to monitor market trends and identify emerging competitors. This ins

## Input

```json
{
  "searchTerms": [
    "finance",
    "banking app",
    "investment"
  ],
  "country": "de",
  "language": "de",
  "maxResults": 100,
  "includeReviews": false,
  "reviewCount": 20
}
```

## Output

```json
{
  "appId": {
    "label": "App ID",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "developer": {
    "label": "Developer",
    "format": "string"
  },
  "score": {
    "label": "Rating",
    "format": "number"
  },
  "ratings": {
    "label": "Ratings",
    "format": "integer"
  },
  "installs": {
    "label": "Installs",
    "format": "string"
  },
  "free": {
    "label": "Free",
    "format": "boolean"
  },
  "price": {
    "label": "Price",
    "format": "number"
  },
  "genre": {
    "label": "Genre",
    "format": "string"
  },
  "contentRating": {
    "label": "Content Rating",
    "format": "string"
  }
}
```

## About this Actor

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