# Export recent Booking.com hotel reviews

**Use case:** 

Create a clean recent-review dataset for one Booking.com property.

## Input

```json
{
  "propertyUrls": [
    "https://www.booking.com/hotel/me/regent-porto-montenegro.html"
  ],
  "mode": "recent",
  "maxReviewsPerProperty": 25,
  "language": "",
  "sortBy": "newest",
  "repliesOnly": false,
  "includePropertyResponse": true,
  "incrementalState": true,
  "outputMode": "all",
  "maxConcurrency": 1,
  "maxRequests": 10,
  "maxRuntimeSecs": 120,
  "maxCostUsd": 0.1
}
```

## Output

```json
{
  "propertyName": {
    "label": "Property",
    "format": "string"
  },
  "headline": {
    "label": "Headline",
    "format": "string"
  },
  "positiveText": {
    "label": "Positive",
    "format": "string"
  },
  "negativeText": {
    "label": "Negative",
    "format": "string"
  },
  "score": {
    "label": "Score",
    "format": "number"
  },
  "publishedDate": {
    "label": "Published date",
    "format": "string"
  },
  "stayDate": {
    "label": "Stay date",
    "format": "string"
  },
  "reviewerName": {
    "label": "Reviewer",
    "format": "string"
  },
  "reviewerCountry": {
    "label": "Reviewer country",
    "format": "string"
  },
  "propertyResponseText": {
    "label": "Property response",
    "format": "string"
  },
  "changeStatus": {
    "label": "Change",
    "format": "string"
  },
  "coverageState": {
    "label": "Canonical coverage state",
    "format": "string"
  },
  "coverageStatus": {
    "label": "Coverage",
    "format": "string"
  },
  "reviewId": {
    "label": "Review ID",
    "format": "string"
  },
  "propertyUrl": {
    "label": "Property URL",
    "format": "string"
  },
  "collectedAt": {
    "label": "Collected at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Booking.com Reviews Scraper](https://apify.com/luminar/booking-reviews-scraper-private-v1.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/luminar/booking-reviews-scraper-private-v1.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/luminar/booking-reviews-scraper-private-v1.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).