# Booking Reviews Scraper (`daddyapi/booking-reviews-scraper`) Actor

Scraper to get reviews from hotels, apartments and other accommodations listed on the Booking.com portal. Extract data using hotel URLs for review text, ratings, stars, basic reviewer info, length of stay, liked/disliked parts, room info, date of stay and more. Download in JSON, HTML, Excel, CSV.

- **URL**: https://apify.com/daddyapi/booking-reviews-scraper.md
- **Developed by:** [DaddyAPI](https://apify.com/daddyapi) (community)
- **Categories:** Travel, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Review Scraper

Scraper to get reviews from hotels, apartments and other accommodations listed on the Booking.com portal. Extract data using hotel URLs for review text, ratings, stars, basic reviewer info, length of stay, liked/disliked parts, room info, date of stay and more. Download in JSON, HTML, Excel, CSV.

### Features

- Scrape reviews using a Booking.com hotel URL.
- Support for extracting positive and negative parts of reviews.
- Extracted details include review score, reviewer name, reviewer country, room type, check-in and check-out dates, traveler type (e.g., solo, couple, family), review date, and management response.
- Sort reviews by newest, highest score, lowest score, relevance, or oldest.
- Filter reviews by language.
- Define limits on how many pages of reviews to scrape.

### How to use

1. Provide a **Booking.com hotel URL** in the Input parameters. Make sure it points to a specific property page, not search results.
2. Set the **Max Pages** to control how many reviews you want (each page contains about 10 reviews).
3. Optionally configure the sorting or language filtering.
4. Run the scraper. Wait for it to finish and download your data from the dataset in your preferred format.

### Input Parameters

| Field | Description | Type | Default |
|-------|-------------|------|---------|
| `hotelUrl` | Direct link to the hotel on Booking.com. (Required) | String | - |
| `maxPages` | Maximum number of pages of reviews to scrape. (1 page ≈ 10 reviews) | Integer | `1` |
| `sortBy` | Sort order (`newest`, `relevance`, `highest`, `lowest`, `oldest`) | Enum | `newest` |
| `reviewLanguage` | Filter reviews by language code (`en`, `de`, etc.) or `all` | String | `all` |
| `proxyConfiguration` | Proxy settings (Residential proxies recommended) | Object | `{ useApifyProxy: true }` |
| `maxRequestsPerCrawl` | Maximum number of requests (safety limit) | Integer | `50` |

### Example Output

The actor stores its results in the default dataset. You can download it as JSON, CSV, Excel, HTML, or XML.

```json
{
  "hotelName": "Hotel Ukraine",
  "hotelUrl": "https://www.booking.com/hotel/ua/ukraine.html?aid=304142",
  "score": 10,
  "title": null,
  "positive": "The view of Maidan Square is beautiful",
  "negative": "russian bombs",
  "reviewerName": "O'neal",
  "reviewerCountry": "United States",
  "reviewerCountryCode": "us",
  "travelerType": "Solo traveler",
  "roomType": "Economy Twin Room",
  "nightsStayed": 1,
  "checkinDate": "2026-05-30",
  "checkoutDate": "2026-05-31",
  "dateOfStay": "May 2026",
  "reviewDate": "2026-06-10",
  "reviewLanguage": "en",
  "helpfulVotes": 0,
  "managementResponse": "Dear O'Neal Shane,\nThank you for staying with us...",
  "photos": []
}
```

### Anti-Bot Protection

Booking.com uses sophisticated anti-bot protection (DataDome). This actor uses the internal GraphQL API to fetch reviews, imitating a real browser request.

It is highly recommended to use **Residential Proxies** or Apify Proxy with a residential IP if you encounter blocking. The actor passes appropriate headers and CSRF tokens automatically extracted from the initial page request.

### Local Development

```bash
## Run locally
apify run
```

# Actor input Schema

## `hotelUrl` (type: `string`):

Direct link to the hotel on Booking.com. E.g. https://www.booking.com/hotel/ua/ukraine.html

## `maxPages` (type: `integer`):

Maximum number of pages of reviews to scrape (1 page ≈ 10 reviews).

## `sortBy` (type: `string`):

How to sort the reviews.

## `reviewLanguage` (type: `string`):

Filter reviews by language code (e.g. 'en', 'de', 'es'). Leave as 'all' for all languages.

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of requests the crawler will make. Used as a safety limit.

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

Proxy settings for anti-bot protection. Residential proxies are recommended.

## Actor input object example

```json
{
  "hotelUrl": "https://www.booking.com/hotel/ua/ukraine.html",
  "maxPages": 1,
  "sortBy": "newest",
  "reviewLanguage": "all",
  "maxRequestsPerCrawl": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "hotelUrl": "https://www.booking.com/hotel/ua/ukraine.html"
};

// Run the Actor and wait for it to finish
const run = await client.actor("daddyapi/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 = { "hotelUrl": "https://www.booking.com/hotel/ua/ukraine.html" }

# Run the Actor and wait for it to finish
run = client.actor("daddyapi/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 '{
  "hotelUrl": "https://www.booking.com/hotel/ua/ukraine.html"
}' |
apify call daddyapi/booking-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/GHDhEsOUCdAHpKCjt/builds/n7i6yj5x51NnnJTBK/openapi.json