# Booking Hotel Reviews Scraper (`romy/booking-hotel-reviews-scraper`) Actor

Get hotel reviews with topic filtering from Booking. Talks directly to Booking.com's own mobile app API, no login or API key needed. Split from the mature, published booking-all-in-one-api for a focused, single-purpose workflow.

- **URL**: https://apify.com/romy/booking-hotel-reviews-scraper.md
- **Developed by:** [Romy](https://apify.com/romy) (community)
- **Categories:** Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 review chargeds

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

### What does Booking.com Hotel Reviews Scraper do?

**Booking.com Hotel Reviews Scraper** fetches paginated reviews for one Booking.com hotel id, with real offset-based pagination (confirmed live end-to-end: requesting the next page returns entirely new review ids with zero overlap with the previous page), plus an optional review-topic filter schema (the same topic/category breakdown with counts the app's own review-filter screen shows).

It talks directly to the same internal API the official [Booking.com](https://www.booking.com/) Android app uses, reverse-engineered by capturing live traffic from a real device. No Booking.com account, no API key of your own. This is the hotel-reviews slice of [Booking.com All-in-One API](https://apify.com/romy/booking-all-in-one-api), split out as its own focused Actor.

### Why use Booking.com Hotel Reviews Scraper?

- **Real paginated reviews** — confirmed live end-to-end: the next `offset` returns entirely new review ids, zero overlap with the previous page
- **A dedicated review-topic filter endpoint** — the same topic/category breakdown (with counts) the app's own review-filter screen shows, as a genuinely separate call from the reviews themselves
- **Rich per-review data** — pros/cons, hotelier response, stayed-room info, reviewer photos, helpful-vote count, all in one row
- **No account needed** — every request works fully anonymously
- **Use cases:** review analysis, sentiment tracking, reputation monitoring

### Input

| Field            | Type              | Description                                                                                       |
| ---------------- | ----------------- | ------------------------------------------------------------------------------------------------- |
| `hotelId`        | string (required) | A Booking.com hotel id (from booking-hotel-search-scraper or a Booking.com URL), e.g. `27229`.    |
| `rating`         | string            | Filter to one review-score band, same value the app's own review-filter UI sends.                 |
| `pageSize`       | integer           | Reviews per request. Default `25`.                                                                |
| `maxItems`       | integer           | Stop once this many reviews have been pushed. Default: fetch all reviews.                         |
| `includeFilters` | boolean           | Also push one row with the review-topic filter schema before paginating reviews. Default `false`. |

Example:

```json
{
    "hotelId": "27229",
    "pageSize": 25,
    "maxItems": 100,
    "includeFilters": true
}
```

### Output

One dataset row per review (trimmed example), plus one `{ "type": "filters", ... }` row first if `includeFilters` is set:

```json
{
    "type": "review",
    "review_id": 5335346583,
    "title": "Good value. Very satisfied. Booked again 3 days later",
    "pros": "Located perfectly. No noise along good street. Easy to find. Clean and very helpful staff",
    "cons": "",
    "average_score": 3.6,
    "date": "2026-08-30 17:02:02",
    "author": { "name": "Gavin", "countrycode": "au", "type": "solo traveller" },
    "hotel_id": 27229
}
```

### Known limitations

- **No cross-hotel search.** This Actor takes one `hotelId` at a time — for a list of hotel ids, use booking-hotel-search-scraper first, or run this Actor once per hotel.
- This is an unofficial, reverse-engineered integration, not affiliated with or endorsed by Booking.com B.V. Behavior may change if Booking.com changes its API.

### Pricing

Pay-per-event: $0.0012 per `review` result (FREE plan; BRONZE/SILVER/GOLD/PLATINUM/DIAMOND get automatic discounts based on your Apify plan).

# Actor input Schema

## `hotelId` (type: `string`):

A Booking.com hotel id (from booking-hotel-search-scraper or a Booking.com URL).

## `rating` (type: `string`):

Filter to one review-score band, same value the app's own review-filter UI sends.

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

Number of items to fetch per page.

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

Stop once this many reviews have been pushed. Leave empty to fetch all reviews.

## `includeFilters` (type: `boolean`):

Also push one row with the hotel's review-topic breakdown (with counts) before paginating reviews.

## Actor input object example

```json
{
  "hotelId": "27229",
  "pageSize": 25,
  "includeFilters": false
}
```

# Actor output Schema

## `dataset` (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 = {
    "hotelId": "27229"
};

// Run the Actor and wait for it to finish
const run = await client.actor("romy/booking-hotel-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 = { "hotelId": "27229" }

# Run the Actor and wait for it to finish
run = client.actor("romy/booking-hotel-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 '{
  "hotelId": "27229"
}' |
apify call romy/booking-hotel-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,romy/booking-hotel-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/l4quhAlkB28u8M5GQ/builds/0zGJQ79qkC0KaC8zn/openapi.json