# Klook Reviews Scraper (`knagymate/klook-reviews-scraper`) Actor

Scrape reviews from Klook activities and hotels. Extract ratings, images, original and translated content, with filters for language, date, and sorting. Ideal for travel SEO, analytics, and market research.

- **URL**: https://apify.com/knagymate/klook-reviews-scraper.md
- **Developed by:** [knagymate](https://apify.com/knagymate) (community)
- **Categories:** Travel, Integrations, AI
- **Stats:** 63 total users, 14 monthly users, 93.4% runs succeeded, 3 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $3.00 / 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/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

## Klook Reviews Scraper (Activities & Hotels)

Scrape **Klook.com reviews** from **activities** and **hotels** with a fast, reliable, and production-ready Apify Actor.

This scraper is designed for **data analysts, SEO teams, travel startups, researchers, and developers** who need structured Klook review data at scale — including **translated content, ratings, images, and metadata**.

Optimized for users and use cases in:
**South Korea, Indonesia, Japan, Taiwan, and the United States**.

***

### ✨ Key Features

- ✅ Scrape **Activity reviews** (attractions, tours, tickets)
- ✅ Scrape **Hotel reviews**
- ✅ Supports **multiple languages** (EN, KO, JA, ZH, ID, etc.)
- ✅ Automatic **review translation**
- ✅ Review images extraction
- ✅ Rating & score descriptions
- ✅ Optional **date cutoff**
- ✅ Configurable **sorting** (activities only)
- ✅ Clean, unified dataset output
- ✅ Works with Apify API, CLI, scheduler, and webhooks

***

### 🔍 Supported Klook Pages

#### 1️⃣ Activities

Examples:

- Attractions
- Theme parks
- Tours & experiences

Example URL:

```
https://www.klook.com/activity/251-lotte-world-seoul/
```

Available sorting options:

- Most relevant
- Newest
- Rating (high → low)
- Rating (low → high)

***

#### 2️⃣ Hotels

Examples:

- City hotels
- Resorts
- Business hotels

Example URL:

```
https://www.klook.com/en-US/hotels/detail/285841-hotel-gracery-shinjuku
```

ℹ️ Hotel reviews are always returned in **most recent** order (Klook limitation).

***

### ⚙️ Input Configuration

| Field | Type | Description |
|-----|-----|------------|
| `urls` | array | One or more Klook activity or hotel URLs |
| `max_review_per_page` | number | Maximum number of reviews |
| `sort_by` | string | Sorting method (activities only) |
| `language` | string | Review language |
| `cutoff_date` | date | Only reviews newer than this date |

#### Example Input

```json
{
  "urls": [
    {
      "url": "https://www.klook.com/activity/251-lotte-world-seoul/"
    },
    {
      "url": "https://www.klook.com/en-US/hotels/detail/285841-hotel-gracery-shinjuku/"
    }
  ],
  "max_review_per_page": 100,
  "sort_by": "sort_review_time_desc",
  "language": "en",
  "cutoff_date": "2024-01-01"
}
```

***

### 📦 Output Dataset

The scraper automatically detects whether the URL is an **Activity** or a **Hotel**, and returns the correct dataset structure.

#### Common Fields

- `page_url`
- `page_id`
- `review_id`
- `time`
- `content_original`
- `content_translate`
- `score`
- `score_description`
- `images`

#### Activity-only Fields

- `like_count`

#### Hotel-only Fields

- `check_in_info`
- `content_original_language`
- `content_translate_language`

***

### 🧾 Activity Review Example

```json
{
  "page_url": "https://www.klook.com/activity/251-lotte-world-seoul/",
  "page_id": "251",
  "review_id": "16645873",
  "time": "2025-10-22 00:57:59+00:00",
  "content_original": "原文评论内容",
  "content_translate": "Translated review content",
  "score": 5,
  "score_description": "Fantastic",
  "images": ["https://cdn.klook.com/..."],
  "like_count": 6
}
```

***

### 🏨 Hotel Review Example

```json
{
  "page_url": "https://www.klook.com/en-US/hotels/detail/285841-hotel-gracery-shinjuku",
  "page_id": "285841",
  "review_id": "476458",
  "time": "2026-01-02 00:00:00",
  "content_original": "原文评论内容",
  "content_translate": "Translated review content",
  "score": 4,
  "score_description": "Great",
  "images": ["https://cdn.klook.com/..."],
  "check_in_info": "Standard Double Room · 2 Adults · 6 Nights",
  "content_original_language": "zh_TW",
  "content_translate_language": "en_US"
}
```

***

### 🌍 SEO & Use Cases

Perfect for:

- Travel SEO & content generation
- Market research (Asia & US travel trends)
- Hotel & attraction review analysis
- Sentiment analysis & NLP
- Competitive benchmarking
- AI / LLM training datasets

Highly relevant for:
**South Korea, Japan, Taiwan, Indonesia, USA** travel markets.

***

### 🚀 How to Use

- Run manually on Apify
- Integrate via **Apify API**
- Schedule regular scraping
- Export to **JSON, CSV, Excel**
- Connect to BigQuery, Snowflake, S3

***

### 👨‍💻 About the Author

Created by **[knagymate](https://apify.com/knagymate)**, author of multiple **top-performing Apify review scrapers** used by hundreds of users.

If you need:

- Custom features
- Higher limits
- Enterprise integrations

👉 Feel free to reach out via Apify.

***

### ⭐ If this Actor helps you

Leave a **rating or review** on Apify — it helps a lot!

# Actor input Schema

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

URL of activity or hotel on Klook to scrape reviews from.

## `max_review_per_page` (type: `integer`):

Maximum number of reviews to scrape per page  (Activity or Hotel)

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

Criteria to sort reviews by. It can be applied only for Activity reviews.

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

Language code for the reviews to be scraped.

## `cutoff_date` (type: `string`):

Scraper will return reviews newer than this date if it is provided.

## Actor input object example

```json
{
  "urls": [
    {
      "url": "https://www.klook.com/activity/363-dream-world-bangkok/"
    }
  ],
  "max_review_per_page": 100,
  "sort_by": "sort_most_relevant",
  "language": "en"
}
```

# 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 = {
    "urls": [
        {
            "url": "https://www.klook.com/activity/363-dream-world-bangkok/"
        }
    ],
    "max_review_per_page": 100,
    "sort_by": "sort_most_relevant",
    "language": "en",
    "cutoff_date": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("knagymate/klook-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": [{ "url": "https://www.klook.com/activity/363-dream-world-bangkok/" }],
    "max_review_per_page": 100,
    "sort_by": "sort_most_relevant",
    "language": "en",
    "cutoff_date": "",
}

# Run the Actor and wait for it to finish
run = client.actor("knagymate/klook-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 '{
  "urls": [
    {
      "url": "https://www.klook.com/activity/363-dream-world-bangkok/"
    }
  ],
  "max_review_per_page": 100,
  "sort_by": "sort_most_relevant",
  "language": "en",
  "cutoff_date": ""
}' |
apify call knagymate/klook-reviews-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3D2r9WAg3XoRPxpJY/builds/erThXFURO8901F9ZM/openapi.json