# Booking review scraper (`mrdoe/booking-review-scraper`) Actor

Booking Review Scraper extracts guest reviews for a specific booking.com property review title, score, what guests liked and disliked, reviewer name and country, stay details, and the property's. Give it a property page URL and it pulls reviews directly, no manual clicking through pages required.

- **URL**: https://apify.com/mrdoe/booking-review-scraper.md
- **Developed by:** [MrDoe](https://apify.com/mrdoe) (community)
- **Categories:** Automation, Lead generation, Real estate
- **Stats:** 2 total users, 1 monthly users, 90.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.15 / 1,000 booking-reviews

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

### What does Booking.com Review Scraper do?

**Booking.com Review Scraper** extracts guest reviews for a specific [Booking.com](https://www.booking.com/) property - review title, score, what guests liked and disliked, reviewer name and country, stay details (room type, dates, guest type), and the property's reply if any. Give it a property page URL and it pulls reviews directly, no manual clicking through pages required. Running it on the Apify platform gets you scheduling, API access to results, and monitoring out of the box.

### Why use Booking.com Review Scraper?

- Analyze guest sentiment and recurring complaints/praise for a property without manually reading through hundreds of reviews.
- Feed review data into reputation-monitoring, competitor-analysis, or research tools.
- Track how a property's reviews evolve over time by scheduling recurring runs.

### How to use Booking.com Review Scraper

1. Click **Try for free** (or **Start**) to open the Actor.
2. Go to the Booking.com page for the property you want reviews for, and copy its URL into **Start URLs**.
3. Optionally set **Max items** to control how many reviews are scraped.
4. Click **Start** and wait for the run to finish, then open the **Dataset** tab to view, filter, and export the results.

### Input

| Field | Type | Description |
|---|---|---|
| `startUrls` | array (required) | Booking.com property page URLs to scrape reviews for. |
| `maxItems` | integer (optional) | Stop the run after this many reviews have been scraped. Defaults to 5. |
| `proxyConfiguration` | object (required) | Apify Proxy settings - a proxy is required for this Actor to run. |

See the **Input** tab for the full schema.

### Output

Each dataset item looks like this:

```json
{
  "reviewUrl": "bbdba55ebbe5b96f",
  "title": "We keep returning!",
  "positiveText": "Its location, in the heart of Batignolles & v close to Brochant Metro.",
  "negativeText": "Hooks needed in the bedroom/bathroom",
  "score": 9,
  "reviewerName": "Jonathan",
  "reviewerCountry": "United Kingdom",
  "roomType": "Standard Double Room",
  "guestType": "COUPLES",
  "stayNights": 2,
  "reviewedDate": "2026-07-25T21:03:13.000Z"
}
```

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

#### Data table

| Field | Description |
|---|---|
| `reviewUrl` | Booking.com's internal review identifier |
| `title`, `positiveText`, `negativeText` | The review's written content |
| `score`, `language` | Numeric score (out of 10) and review language |
| `reviewerName`, `reviewerCountry`, `reviewerReviewCount` | Reviewer details |
| `roomType`, `guestType`, `stayNights`, `checkinDate`, `checkoutDate` | Details of the stay being reviewed |
| `reviewedDate` | When the review was posted |
| `helpfulVotesCount` | How many guests found the review helpful |
| `partnerReply` | The property's reply to the review, if any |

### Cost estimation

Each property page requires a real browser render, so runs are billed per browser page rather than lightweight HTTP requests. Use **Max items** to scope smaller, cheaper runs.

### Tips

- A proxy is required - Booking.com's bot protection can behave inconsistently without one, and runs without a working proxy will fail.
- Reviews are sorted by "most relevant" by default, matching what Booking.com shows first-time visitors.

### FAQ, disclaimers, and support

This Actor only collects publicly listed Booking.com review data. It is not affiliated with or endorsed by Booking.com. Respect Booking.com's Terms of Service when using the scraped data. Found a bug or have a feature request? Use the Issues tab on this Actor's page.

# Actor input Schema

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

Booking.com property page URLs to scrape reviews for, e.g. https://www.booking.com/hotel/fr/mirific.en-gb.html.

## `maxItems` (type: `integer`):

Stop the run once this many reviews have been scraped across all start URLs.

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

Required - Apify Proxy must be enabled for this Actor to run.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.booking.com/hotel/fr/mirific.en-gb.html"
    }
  ],
  "maxItems": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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/fr/mirific.en-gb.html"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("mrdoe/booking-review-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/fr/mirific.en-gb.html" }] }

# Run the Actor and wait for it to finish
run = client.actor("mrdoe/booking-review-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 '{
  "startUrls": [
    {
      "url": "https://www.booking.com/hotel/fr/mirific.en-gb.html"
    }
  ]
}' |
apify call mrdoe/booking-review-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mrdoe/booking-review-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/OW6flBTjRhoJfhgun/builds/17kJRQV2yQfEs9Xyn/openapi.json