# Scrape Airbnb Reviews and Prices Together

**Use case:** 

Price and sentiment in one dataset: twenty Seville listings priced for a three-night stay, each with its twenty most recent reviews carrying rating, text, date, reviewer and host reply. Reviews and listings share the listing id, so the join is already done for you. Cost: 20 listing rows at $0.005 plus 400 review rows at $0.003 = at most $1.30 a run.

## Input

```json
{
  "locationQueries": [
    "Seville, Spain"
  ],
  "startUrls": [],
  "listingIds": [],
  "maxListingsPerQuery": 20,
  "checkIn": "30 days",
  "checkOut": "33 days",
  "adults": 2,
  "children": 0,
  "infants": 0,
  "pets": 0,
  "currency": "EUR",
  "locale": "en",
  "priceMin": 0,
  "priceMax": 0,
  "roomTypes": [],
  "minBedrooms": 0,
  "minBeds": 0,
  "minBathrooms": 0,
  "includeDetails": false,
  "calendarMonths": 0,
  "maxReviewsPerListing": 20,
  "reviewsSort": "most_recent",
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "sessions": 4,
  "perIp": 1
}
```

## Output

```json
{
  "id": {
    "label": "Listing id",
    "format": "string"
  },
  "name": {
    "label": "Listing",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "created_at": {
    "label": "Date",
    "format": "string"
  },
  "reviewer_name": {
    "label": "Reviewer",
    "format": "string"
  },
  "reviewer_location": {
    "label": "From",
    "format": "string"
  },
  "text": {
    "label": "Review",
    "format": "string"
  },
  "host_reply": {
    "label": "Host reply",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "reviews_total": {
    "label": "Total reviews",
    "format": "integer"
  }
}
```

## About this Actor

This example demonstrates how to use [Airbnb Scraper — Prices, Availability Calendar & Occupancy](https://apify.com/kestrel/airbnb-prices-calendar.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kestrel/airbnb-prices-calendar.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/kestrel/airbnb-prices-calendar.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).