# Booking.com Attraction Reviews Scraper (`powerai/booking-attraction-reviews-scraper`) Actor

Export guest reviews for a Booking.com tour or activity—ratings, text, travel party, and reviewer details in one dataset.

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

## Pricing

from $4.99 / 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 Attraction Reviews Scraper

Pull **guest reviews** for a single **tour or activity product** (the same product id you see in attractions search results). Each row is one review with rating, text, language, travel-party hints, and reviewer info when available—useful for CX, quality, and partner reporting.

### Who it’s for

- **Operations & experience** teams monitoring feedback on a specific experience.
- **Product & partnerships** roles tracking sentiment for one listing.
- **Analysts** who need structured exports instead of reading the page.

### What you can do with it

- **Collect many reviews** across pages until you hit your cap.
- **Join with search exports** using **`productId`** on each row (the attraction product you queried). The review’s own identifier is the **`id`** field on that row—do not confuse it with the product id.

### How it works (in plain terms)

You pass the **attraction product id** from **searchAttractions** (`data.products[].id`). The tool requests **page 1, 2, …** of reviews and stops when a page has no reviews or you reach your **maximum row count**.

### Input

| Field | Required | What it means |
|-------|----------|----------------|
| **Product ID** (`id`) | Yes | The experience id from the attractions search payload. |
| **Maximum results** (`maxResults`) | No | Upper limit on how many reviews to collect (default **100**). |

### Output

- **One row per review** until your cap or the end of results.
- **Review identity**: **`id`** — Booking’s review id for this row (distinct from the product id).
- **Text & score**: **`content`** — full review text when provided (may be `null`); **`numericRating`** — star-style score; **`language`** — tag such as `en-gb` when detected.
- **Timing**: **`epochMs`** — review time in **milliseconds** since Unix epoch (convert for reporting as needed).
- **Context**: **`travelPartnerTypes`** — e.g. `partner`, `family`, `alone`; **`providerName`** — often `null` unless a specific provider label is returned.
- **Reviewer**: **`user`** — **`name`**, **`cc1`** (country code), **`avatar`** (URL or `null`).
- **Actor fields**: **`productId`** — repeats the attraction product id you passed in; **`scrapedAt`** — when this row was written to your dataset.

Some reviews may omit **`content`** or **`user`** depending on source and platform rules.

#### Sample output (one dataset row)

```json
{
  "content": "Highly recommend this tour to see a real side of Mumbai with a knowledgeable guide (Maze) who was fantastic. Changed our perspective on the slums, and fascinating to see the laundry.",
  "epochMs": 1769684730000,
  "id": "RSaDusGILZst",
  "language": "en-gb",
  "numericRating": 5,
  "providerName": null,
  "travelPartnerTypes": ["partner"],
  "user": {
    "avatar": null,
    "cc1": "gb",
    "name": "Chris"
  },
  "productId": "PR6K7ZswbGBs",
  "scrapedAt": "2026-03-25T06:19:56.648Z"
}
```

### Good to know

- The **product id** must match a real attraction listing; wrong ids return empty or errors.
- Some reviews may have **null** text or user depending on source and platform rules.
- Use data in line with Booking.com’s terms and applicable laws.

# Actor input Schema

## `id` (type: `string`):

Attraction product id from searchAttractions (data.products\[].id).

## `maxResults` (type: `integer`):

Max review rows to collect across pages.

## Actor input object example

```json
{
  "id": "PR6K7ZswbGBs",
  "maxResults": 50
}
```

# 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 = {
    "id": "PR6K7ZswbGBs",
    "maxResults": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerai/booking-attraction-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 = {
    "id": "PR6K7ZswbGBs",
    "maxResults": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("powerai/booking-attraction-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 '{
  "id": "PR6K7ZswbGBs",
  "maxResults": 50
}' |
apify call powerai/booking-attraction-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/oKqonUxMIAmXfKDyh/builds/9qNlZ36Jus7uzdkKo/openapi.json