# Six-Month Airbnb Seasonality Curve by City

**Use case:** 

Sample six future months in one run to see the high season, the low season and the spread in percent before you commit to a short-term rental market.

## Input

```json
{
  "location": "Austin, Texas",
  "currency": "USD",
  "sampleMonths": 6,
  "nightsPerSample": 3,
  "maxListingsPerSample": 40,
  "adults": 2,
  "topListingsCount": 0
}
```

## Output

```json
{
  "type": {
    "label": "Type",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "generatedFromListings": {
    "label": "Generated from listings",
    "format": "number"
  },
  "monthsSampled": {
    "label": "Months sampled",
    "format": "array"
  },
  "adr": {
    "label": "Adr",
    "format": "object"
  },
  "monthly": {
    "label": "Monthly",
    "format": "array"
  },
  "seasonality": {
    "label": "Seasonality",
    "format": "object"
  },
  "supplyMix": {
    "label": "Supply mix",
    "format": "object"
  },
  "quality": {
    "label": "Quality",
    "format": "object"
  },
  "monthlyRevenueScenarios": {
    "label": "Monthly revenue scenarios",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Airbnb Market Report — ADR & Occupancy Scenarios](https://apify.com/davidbenittah/airbnb-market-report) with a specific input configuration. Visit the [Actor detail page](https://apify.com/davidbenittah/airbnb-market-report) to learn more, explore other use cases, and run it yourself.