# Booking.com Reviews Scraper (`one_house/booking-reviews-scraper`) Actor

Scrape hotel reviews, ratings, and owner replies from Booking.com by hotel page URL.

- **URL**: https://apify.com/one\_house/booking-reviews-scraper.md
- **Developed by:** [One House](https://apify.com/one_house) (community)
- **Categories:** E-commerce, Travel, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

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).

# README

## Booking.com Reviews Scraper

Extract hotel guest reviews from [Booking.com](https://www.booking.com) using a hotel page URL.

Ideal for reputation monitoring, competitor analysis, and hospitality data pipelines.

### What you get

- Hotel name, aggregate rating, and review count
- Review title, positive text, and negative text
- Guest score on Booking’s 10-point scale
- Author name, avatar, country, and guest type
- Stay dates, nights, and room type
- Photos (when available)
- Hotel reply text
- Full raw review object for advanced use

### How to use

1. Open this Actor and click **Start**
2. Add one or more Booking.com hotel URLs under **Hotel URLs**
3. Set **Max reviews per hotel** (`0` = all)
4. Leave **Proxy** off by default; if you get blocked, enable Apify Proxy and pick Datacenter or Residential
5. Run and download results from the **Dataset** tab

#### Supported URLs

- `https://www.booking.com/hotel/{country}/{hotel-slug}.html`
- Language variants such as `.en-gb.html`
- URLs that include `b_hotel_id` in the query string

### Input example

```json
{
  "startUrls": [
    { "url": "https://www.booking.com/hotel/eg/xanadu-makadi-bay.en-gb.html" }
  ],
  "maxReviews": 50
}
```

Proxy is optional — enable only if needed:

```json
{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
```

### Output example

Each dataset item is one review:

```json
{
  "reviewId": "/reviews/…/…",
  "hotelId": "8393304",
  "hotelName": "Xanadu Makadi Bay",
  "title": "Wonderful stay",
  "positiveText": "Great food and beach",
  "negativeText": null,
  "text": "Great food and beach",
  "rating": 9.0,
  "ratingScale": 10,
  "authorName": "Anna",
  "authorCountryCode": "de",
  "publishedAt": "2026-05-01T00:00:00.000Z",
  "travelDate": "2026-04-20T00:00:00.000Z",
  "replyText": "Thank you for your feedback!",
  "source": "booking",
  "scrapedAt": "2026-07-11T12:00:00.000Z"
}
```

A hotel summary is also saved in the key-value store as `HOTEL_INFO_{hotelId}`.

### Tips

- Default is **no proxy**. If runs fail or get blocked, enable Apify Proxy and try Datacenter first, then Residential.
- Start with a smaller `maxReviews` value to estimate runtime and cost.
- Add multiple hotel URLs in one run to batch scraping.
- Ratings use a **1–10** scale (`ratingScale: 10`).

### Limitations

- Only public guest reviews from the hotel page are returned.
- Occasional verification pages can still appear; retry with Apify Proxy (Residential often works best).

# Actor input Schema

## `startUrls` (type: `array`):

Booking.com hotel page URLs (e.g. https://www.booking.com/hotel/tr/example-hotel.html).

## `maxReviews` (type: `integer`):

Maximum number of reviews to scrape per hotel. Set 0 for all available reviews.

## `pageSize` (type: `integer`):

Reviews fetched per request (1–25).

## `proxyConfiguration` (type: `object`):

Optional. Default is no proxy. If runs fail or get blocked, enable Apify Proxy and choose Datacenter or Residential.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.booking.com/hotel/eg/xanadu-makadi-bay.en-gb.html"
    }
  ],
  "maxReviews": 50,
  "pageSize": 25,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://www.booking.com/hotel/eg/xanadu-makadi-bay.en-gb.html"
        }
    ],
    "maxReviews": 50,
    "pageSize": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("one_house/booking-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "startUrls": [{ "url": "https://www.booking.com/hotel/eg/xanadu-makadi-bay.en-gb.html" }],
    "maxReviews": 50,
    "pageSize": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("one_house/booking-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.booking.com/hotel/eg/xanadu-makadi-bay.en-gb.html"
    }
  ],
  "maxReviews": 50,
  "pageSize": 25
}' |
apify call one_house/booking-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=one_house/booking-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/Fdp19gWPum4bnJeiV/builds/hOGZaGsRMdnu1ivPQ/openapi.json