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

Extract detailed hotel reviews from Booking.com, including reviewer info, ratings, stay details, and review text. Supports sorting, rating filters, and multiple URLs. Ideal for travel research, sentiment analysis, and hospitality insights.

- **URL**: https://apify.com/coder\_zoro/booking-reviews-scraper.md
- **Developed by:** [Zoro](https://apify.com/coder_zoro) (community)
- **Categories:** Travel, Developer tools, Automation
- **Stats:** 140 total users, 0 monthly users, 93.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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 Reviews Scraper

Booking Reviews Scraper is a powerful and easy-to-use Apify Actor that allows you to extract structured hotel review data directly from [Booking.com](https://www.booking.com).\
This tool is designed for travel researchers, hospitality businesses, data analysts, and developers who need accurate and organized customer feedback at scale.

### Key Features

- Scrape reviews from any Booking.com hotel URL
- Extract reviewer name, location, stay details, rating, and full review text
- Support for multiple hotel URLs in a single run
- Sort reviews by relevance, newest, or oldest
- Filter reviews by rating range (e.g., 9+, 7–9, 5–7)
- Clean, structured JSON output for easy integration

### Input Parameters

| Field             | Type     | Description                                                           | Example Value                                                  |
|--------------------|----------|-----------------------------------------------------------------------|----------------------------------------------------------------|
| `urls`             | array    | One or more Booking.com hotel URLs                                   | `["https://www.booking.com/hotel/cz/jeromehouse.en-gb.html"]`  |
| `count`            | integer  | Number of reviews to scrape per URL                                   | `10`                                                           |
| `sort_by`          | string   | Sort order for reviews                                               | `MOST_RELEVANT`, `NEWEST_FIRST`, `OLDEST_FIRST`               |
| `rating_filter`    | string   | Filter reviews by rating                                             | `9+`, `7-9`, `5-7`, `3-5`, `1-3`                               |

### Example Output

The scraper returns structured JSON with all the key review details.

```json
[
  {
    "id": "dde1c8a8-75dc-4f",
    "hotelId": "77040",
    "userName": "Schoen",
    "userLocation": "Sweden",
    "roomInfo": "Standard Double or Twin Room",
    "stayDate": "October 2025",
    "stayLength": "4 night(s)",
    "reviewDate": "October 13, 2025",
    "reviewTitle": "",
    "rating": "10.0",
    "reviewTextParts": {
      "Liked": "Very clean, beautiful place. The staff are welcoming and polite. I highly recommend this Hotel :) 10/10",
      "Disliked": ""
    }
  },
  {
    "id": "27f5a707-f3fc-47",
    "hotelId": "77040",
    "userName": "James",
    "userLocation": "United Kingdom",
    "roomInfo": "Standard Double or Twin Room",
    "stayDate": "October 2025",
    "stayLength": "3 night(s)",
    "reviewDate": "October 13, 2025",
    "reviewTitle": "Would recommend.",
    "rating": "7.0",
    "reviewTextParts": {
      "Liked": "Very clean. Excellent location. Warm room. Complementary gifts waiting in room.",
      "Disliked": "Breakfast wasn't to my liking but I'm not complaining.  Nice coffee and juices available."
    }
  }
]
```

### Use Cases

- Hotel performance tracking and reputation analysis
- Travel research and review aggregation
- Sentiment analysis for hospitality insights
- Competitive intelligence for travel businesses
- Data collection for machine learning and analytics

### Tips for Best Results

- Add multiple hotel URLs to scrape reviews from different properties in one run.
- Use the `sort_by` parameter to control the order of reviews (e.g., newest first).
- Apply `rating_filter` to focus on specific review segments.
- Export your data in CSV or JSON format for further processing and reporting.

### Why Use Booking Reviews Scraper

- Fast and reliable review extraction
- Structured and clean data output
- Easy integration with other tools and systems
- Ideal for SEO, content marketing, business intelligence, and travel platforms

***

# Actor input Schema

## `urls` (type: `array`):

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

## `count` (type: `integer`):

Maximum number of reviews to fetch per hotel.

## `sort_by` (type: `string`):

Review sort order.

## `rating_filter` (type: `string`):

Keep only reviews whose score falls in this band.

## `proxyCountryCode` (type: `string`):

Country code for the Apify residential proxy (helps pass Booking's WAF). e.g. US, MY, GB, DE.

## `cookie` (type: `string`):

Optional fresh browser cookie with aws-waf-token. Usually NOT needed when using residential proxy.

## Actor input object example

```json
{
  "urls": [
    "https://www.booking.com/hotel/my/the-face-suites.html"
  ],
  "count": 50,
  "sort_by": "MOST_RELEVANT",
  "rating_filter": "1-10",
  "proxyCountryCode": "US"
}
```

# 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 = {
    "urls": [
        "https://www.booking.com/hotel/my/the-face-suites.html"
    ],
    "count": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("coder_zoro/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 = {
    "urls": ["https://www.booking.com/hotel/my/the-face-suites.html"],
    "count": 50,
}

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

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

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

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.booking.com/hotel/my/the-face-suites.html"
  ],
  "count": 50
}' |
apify call coder_zoro/booking-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,coder_zoro/booking-reviews-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/oLjtg2O0S1lhYLISd/builds/dusGPcDALA4Gtub3t/openapi.json