# Build a multi-city Resident Advisor events dataset

**Use case:** 

Collect up to 1,000 deduplicated public RA events across London, Berlin, Amsterdam, Paris, and Lisbon for a scheduled data pipeline.

## Input

```json
{
  "areas": [
    "london",
    "berlin",
    "amsterdam",
    "paris",
    "lisbon"
  ],
  "maxItems": 1000
}
```

## Output

```json
{
  "eventId": {
    "label": "Event ID",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "startTime": {
    "label": "Start time",
    "format": "string"
  },
  "endTime": {
    "label": "End time",
    "format": "string"
  },
  "venue": {
    "label": "Venue",
    "format": "object"
  },
  "artists": {
    "label": "Artists",
    "format": "array"
  },
  "genres": {
    "label": "Genres",
    "format": "array"
  },
  "attending": {
    "label": "Attending",
    "format": "integer"
  },
  "isTicketed": {
    "label": "Ticketed",
    "format": "boolean"
  },
  "url": {
    "label": "Event URL",
    "format": "string"
  },
  "areaId": {
    "label": "RA area ID",
    "format": "integer"
  }
}
```

## About this Actor

This example demonstrates how to use [Resident Advisor Events Scraper](https://apify.com/automation-lab/resident-advisor-events-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/resident-advisor-events-scraper) to learn more, explore other use cases, and run it yourself.