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.

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✨ 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

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🔍 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)

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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).

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⚙️ 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

{
  "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"
}

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📦 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

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🧾 Activity Review Example

{
  "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

{
  "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"
}

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🌍 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.

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🚀 How to Use

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

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👨‍💻 About the Author

Created by 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.

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⭐ If this Actor helps you

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