# Airbnb Data for AI Agents & RAG (Markdown)

**Use case:** 

Feed Airbnb market and listing data to LLMs: each record includes an LLM-ready Markdown field for RAG. Works via MCP and API.

## Input

```json
{
  "mode": "market",
  "location": "Austin, Texas, United States",
  "startUrls": [
    "https://www.airbnb.com/rooms/39896685"
  ],
  "adults": 2,
  "roomType": "any",
  "maxListings": 100,
  "months": 12,
  "includeDailyPrices": false,
  "maxReviews": 100,
  "reviewsSort": "recent",
  "sampleSize": 100,
  "marketMonths": 3,
  "currency": "USD",
  "locale": "en",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "markdownContent": {
    "label": "Markdown (LLM-ready)",
    "format": "string"
  },
  "mode": {
    "label": "Mode",
    "format": "string"
  },
  "listingId": {
    "label": "Listing ID",
    "format": "string"
  },
  "market": {
    "label": "Market",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Airbnb Scraper - Data, Prices, Reviews, Availability, Occupancy](https://apify.com/factden/airbnb-data-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/factden/airbnb-data-scraper) to learn more, explore other use cases, and run it yourself.