# Booking.com Reviews 1.5/1k (`crucial_binoculars/booking-com-reviews-scraper`) Actor

Review Scraper: Collect in-depth reviews from hotels, apartments, and more on Booking.com. Extract key data points such as review text, ratings, reviewer info, stay duration, room specifics, and pros and cons. Seamlessly download the data in JSON, HTML, Excel, or CSV formats

- **URL**: https://apify.com/crucial\_binoculars/booking-com-reviews-scraper.md
- **Developed by:** [Iliya Musa](https://apify.com/crucial_binoculars) (community)
- **Categories:** Travel, Real estate, Other
- **Stats:** 73 total users, 5 monthly users, 100.0% runs succeeded, 7 bookmarks
- **User rating**: 3.85 out of 5 stars

## Pricing

from $0.80 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

**Unlock powerful market insights with the most reliable Booking.com reviews scraper.**

Extract thousands of verified guest reviews to analyze customer sentiment, monitor competitors, and spot market trends. Designed for scale and accuracy.

### 🚀 Key Features

- **Massive Scale**: Capable of extracting 100,000+ reviews in a single run.
- **Complete Data**: Get every detail - reviewer name, country, full review text (positive/negative), room type, stay dates, and hotel responses.
- **100% Accuracy**: Direct data extraction ensures no missing fields or broken text.
- **Global Coverage**: Works with any Booking.com hotel URL worldwide.
- **Cost-Effective**: Pay only for the results you get ($1.00 per 1,000 results).

### 📊 What You Get

Each result contains comprehensive data for deep analysis:

| Field | Description |
|-------|-------------|
| `reviewer` | Name of the guest |
| `country` | Guest's country of origin |
| `score` | Numerical rating (1-10) |
| `title` | Review title |
| `reviewText` | Full review content (combined positive & negative) |
| `positive` | Specific "What I liked" text |
| `negative` | Specific "What I didn't like" text |
| `stayDates` | Check-in date |
| `roomType` | Specific room booked (e.g., "Deluxe King") |
| `travelType` | Trip type (e.g., Family, Couple, Solo) |
| `hotelResponse` | Official response from the hotel |
| `images` | Links to guest-uploaded photos |

### 🎯 Use Cases

- **Sentiment Analysis**: Understand what guests love and hate about specific hotels.
- **Competitor Monitoring**: Track your competitors' ratings and reviews in real-time.
- **Market Research**: Analyze travel trends, peak seasons, and guest preferences.
- **Brand Reputation**: Monitor your own hotel's reputation across different regions.

### 🛠️ How to Use

1. **Start URLs**: Enter the Booking.com hotel URLs you want to scrape.
2. **Max Reviews**: Set the maximum number of reviews you want (e.g., `1000`). Set to `0` for all reviews.
3. **Filters (Optional)**:
   - **Sort By**: Choose `Newest`, `Highest Score`, etc.
   - **Rating**: Filter by specific scores (e.g., `9+` only).
   - **Language**: Get reviews only in specific languages (e.g., `en`).
4. **Proxy**: Enable proxy if you are scraping large volumes (disabled by default).

### 💰 Pricing

**Pay-Per-Result**: $1.00 per 1,000 reviews.

- No monthly fees.
- No hidden costs.
- Volume discounts available for enterprise usage.

### ⚡ Performance

- **Speed**: Extracts ~100 reviews per minute.
- **Reliability**: 99.9% success rate with built-in retry logic.
- **Efficiency**: Optimized to minimize data usage and maximize speed.

***

*Built for business intelligence and data-driven decision making.*

# Actor input Schema

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

One or more Booking.com hotel page URLs to scrape reviews from.

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

Maximum number of reviews to collect per hotel. Set to 0 for unlimited.

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

Sort order for reviews.

## `language` (type: `string`):

Language code for the reviews interface (e.g. en-gb, en-us, fr, de, es). Defaults to en-gb if left empty.

## `pageDelay` (type: `integer`):

How long to wait between pagination requests in milliseconds. Lower is faster but increases the chance of being blocked. Recommended: 1000–2000ms.

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

Proxy settings to avoid IP blocking. Recommended for large scrapes or multiple hotels.

## `debugMode` (type: `boolean`):

Enables verbose logging and adds a \_raw field to each result containing the full unprocessed API response.

## `concurrency` (type: `integer`):

Number of hotels to scrape simultaneously. Keep at 1–2 to avoid blocks.

## Actor input object example

```json
{
  "startUrls": [
    "https://www.booking.com/hotel/us/new-york-marriott-marquis.html"
  ],
  "maxReviews": 100,
  "sortBy": "MOST_RELEVANT",
  "language": "en-gb",
  "pageDelay": 1500,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "concurrency": 2
}
```

# 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": [
        "https://www.booking.com/hotel/us/new-york-marriott-marquis.html"
    ],
    "maxReviews": 100,
    "language": "en-gb",
    "pageDelay": 1500,
    "proxyConfiguration": {
        "useApifyProxy": false
    },
    "debugMode": false,
    "concurrency": 2
};

// Run the Actor and wait for it to finish
const run = await client.actor("crucial_binoculars/booking-com-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": ["https://www.booking.com/hotel/us/new-york-marriott-marquis.html"],
    "maxReviews": 100,
    "language": "en-gb",
    "pageDelay": 1500,
    "proxyConfiguration": { "useApifyProxy": False },
    "debugMode": False,
    "concurrency": 2,
}

# Run the Actor and wait for it to finish
run = client.actor("crucial_binoculars/booking-com-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": [
    "https://www.booking.com/hotel/us/new-york-marriott-marquis.html"
  ],
  "maxReviews": 100,
  "language": "en-gb",
  "pageDelay": 1500,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "debugMode": false,
  "concurrency": 2
}' |
apify call crucial_binoculars/booking-com-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Sc02jn50Dld9sj99b/builds/ygEB4rDZ1SIO9LvM4/openapi.json