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Klook.com Reviews Scraper: Extract Hotel & Activity Reviews at Scale

What Is Klook.com?

Klook is a leading travel experiences and accommodation booking platform serving millions of travelers across Asia and beyond. Its review system contains verified, post-stay feedback on hotels, tours, and activities — making it a valuable source for sentiment analysis, competitive benchmarking, and reputation monitoring. Manually collecting this data is impractical at scale; the Klook Reviews Scraper automates the extraction into clean, structured records.

Overview

The Klook.com Reviews Scraper targets review pages for both hotels and activities, collecting rich traveler feedback data. Designed for:

• Hotel & attraction managers monitoring guest sentiment
• Travel analysts tracking rating trends over time
• Researchers studying traveler behavior and language patterns
• OTA aggregators building review datasets across platforms

It supports sorting options, pagination control, and configurable item limits — giving you precise control over what data is collected.

Input Format

The scraper accepts a JSON configuration:

{
"ignore_url_failures":true,
"max_items_per_url":200,
"page":1,
"item_id":"285841",
"sort_by":"sort_most_relevant",
"type":"hotels"
}

Field Reference

Tip: To find an item_id, open a Klook hotel or activity page and extract the number from the URL path (e.g., .../285841-hotel-name/ → 285841).

Output Format

Sample Record (Abbreviated)

{
"review_id":14215787,
"user_info":{
"user_name":"LAM ********",
"user_avatar":"https://cdn.klook.com/upload/img200X200/7030dc178eb8486b5869aee21b7eb986.jpg",
"user_rating":"5.0",
"rating_desc":"",
"rating_time":"2024-12-01T05:41:48.000Z"
},
"review_content":"當日剛巧還遇上Black Friday Sale, 部份產品還可以用上這張購物優惠券，購物滿100歐元後還可以退稅",
"translate_content":"..",
"has_reply":false,
"show_translation":true,
"has_liked":false,
"liked_count":0,
"product_info":{
"id":362471,
"product_name":"Shopping coupon",
"deeplink":"",
"is_booking_now":true
},
"review_image_list":[
{
"id":16351779,
"resize_url":"https://cdn.klook.com/user_review/product/1947978/120e330f-ba51-44af-72d1-c1d62882df0c.250*0.jpeg",
"url":"https://cdn.klook.com/user_review/product/1947978/120e330f-ba51-44af-72d1-c1d62882df0c.1200*0.jpeg"
},
{
"id":16351778,
"resize_url":"https://cdn.klook.com/user_review/product/1947978/5874823f-d846-487e-4b4c-4fb9c96c47e4.0*250.jpeg",
"url":"https://cdn.klook.com/user_review/product/1947978/5874823f-d846-487e-4b4c-4fb9c96c47e4.0*1200.jpeg"
},
{
"id":16351782,
"resize_url":"https://cdn.klook.com/user_review/product/1947978/13ece126-d143-4021-516e-d13fd58223d1.0*250.jpeg",
"url":"https://cdn.klook.com/user_review/product/1947978/13ece126-d143-4021-516e-d13fd58223d1.0*1200.jpeg"
},
{
"id":16351777,
"resize_url":"https://cdn.klook.com/user_review/product/1947978/9ba8b1aa-0a84-4b41-6a3b-1710d87d48ec.0*250.jpeg",
"url":"https://cdn.klook.com/user_review/product/1947978/9ba8b1aa-0a84-4b41-6a3b-1710d87d48ec.0*1200.jpeg"
},
{
"id":16351780,
"resize_url":"https://cdn.klook.com/user_review/product/1947978/d54ab03d-f19e-4d39-5ff7-9d394c4e6f99.0*250.jpeg",
"url":"https://cdn.klook.com/user_review/product/1947978/d54ab03d-f19e-4d39-5ff7-9d394c4e6f99.0*1200.jpeg"
},
{
"id":16351781,
"resize_url":"https://cdn.klook.com/user_review/product/1947978/7143c819-5934-4d26-6d27-8fca9c9cf4c4.0*250.jpeg",
"url":"https://cdn.klook.com/user_review/product/1947978/7143c819-5934-4d26-6d27-8fca9c9cf4c4.0*1200.jpeg"
}
],
"check_in_info":null,
"language":null,
"review_time":null,
"review_score":null,
"from_url":null
}

Each review returns a structured record with the following fields:

How to Use

1. Find the Item ID — Open any Klook hotel or activity page. Extract the numeric ID from the URL (the number before the slug).
2. Set the type — Use "hotels" for accommodation, "activity" for tours and experiences.
3. Choose sort order — Use "sort_review_time_desc" for the latest reviews, or "sort_most_relevant" for highest-signal feedback.
4. Set page and limit — Start from page: 1 and set max_items_per_url to your target volume (up to 200 per run).
5. Run and export — Download results as JSON or CSV for analysis.

Common issues:

• If no results return, double-check that type matches the URL type (hotels vs activity).
• For items with fewer reviews than max_items_per_url, the scraper will simply return all available records.

Use Cases & Business Value

• Reputation management: Aggregate guest feedback across properties for QA teams
• Sentiment analysis: Feed review text into NLP pipelines to detect recurring themes
• Competitive benchmarking: Compare scores and feedback patterns across similar listings
• Content research: Identify what travelers highlight most (location, service, cleanliness)

Conclusion

The Klook.com Reviews Scraper delivers structured, detailed traveler review data without manual effort. With flexible sorting, language metadata, image lists, and check-in context per record, it provides everything needed for meaningful analysis of guest experience on one of Asia's most active travel platforms.