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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

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"
}

📦 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

{
"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"
}

🌍 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, 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!