Description

This dataset offers 499 records of rich Singapore hotel product data, featuring detailed metadata alongside references to numerous hotel product images, all gathered from a popular global accommodation booking platform. Each entry provides comprehensive insights with data points such as hotel name, URL, city, country, description, facilities, highlights, and geographical latitude and longitude. Further detail includes essential booking information like customer review scores, total reviews, check-in/out policies, pet/smoking allowances, house rules, and various payment options. Ideal for market research and competitive analysis, this data empowers businesses to identify hospitality trends, compare amenity offerings, and understand pricing strategies across Singapore's dynamic hotel landscape. Leverage location intelligence for strategic placement analysis, analyze customer review scores to gauge guest satisfaction, or examine facilities for amenity comparison. The dataset includes a scraped_at timestamp for each record, ensuring insight into the currency of this valuable hotel product data.

Highlights

  • Contains 499 comprehensive hotel listings across Singapore.

  • Exclusively details hotels located throughout Singapore city.

  • Features recently scraped data from a popular accommodation booking site.

  • Includes crucial guest scores and total review counts.

Sample Data

Preview of available data:

Ufi Url City Name Pets Label Score Images Region Checkin Country Dest Id Smoking Uniq Id Version Checkout Hotel Id Latitude Payments Longitude Subscores Facilities Highlights Scraped At Breadcrumbs Description House Rules Postal Code Imported At Full Address Total Reviews The Fine Print Breadcrumb Text
-73635 https://www.booking.com/hot... Singapore Claude Hotel Pets are not allowed. very good 8.3 https://cf.bstatic.com/xdat... \N From 3:00 PM to 11:00 PM Singapore 11824766 \N afd8364aa70dfb60 1779911860285 From 6:00 AM to 12:00 PM 11824766 1.2803754999999999 \N 103.8419378 {"Facilities": {"score": 8.... Free Wifi, Non-smoking room... Located in the heart of Sin... 2026-05-21 14:14:04 [{"name": "Home", "url": "h... Prime City Center Location:... {"check-in": "From 3:00 PM ... 088387 2026-05-27 19:57:40 12 Teck Lim Road, Chinatown... 149 reviews This property does not acco... ["Home", "Hotels", "Singapo...
-73635 https://www.booking.com/hot... Singapore Hotel 1900 Express Chinatown Pets are not allowed. good 7.6 https://cf.bstatic.com/xdat... \N From 6:00 PM \n Guests are ... Singapore 11218172 \N 7fecea979a0094ef 1779911860285 From 12:00 AM to 9:00 AM 11218172 1.2841695 \N 103.8443682 {"Facilities": {"score": 7.... Free Wifi, Non-smoking room... Located in the heart of Sin... 2026-05-13 11:14:55 [{"name": "Home", "url": "h... Prime City Center Location:... {"check-in": "From 6:00 PM ... 059525 2026-05-27 19:57:40 47 Mosque Street, Chinatown... 19 reviews Guests are required to show... ["Home", "Hotels", "Singapo...
-73635 https://www.booking.com/hot... Singapore Hotel 1900 Chinatown Pets are not allowed. very good 8.1 https://cf.bstatic.com/xdat... \N From 3:00 PM to 12:00 AM \n... Singapore 9300091 \N a1339d220a3eccc2 1779911860285 Until 11:00 AM 9300091 1.284143927783759 \N 103.84436443848183 {"Facilities": {"score": 8.... Free Wifi, Non-smoking room... Located in the heart of Sin... 2026-05-21 19:06:20 [{"name": "Home", "url": "h... Prime City Center Location:... {"check-in": "From 3:00 PM ... 059526 2026-05-27 19:57:40 46-50 Mosque Street, Chinat... 3,316 reviews Please present the same car... ["Home", "Hotels", "Singapo...
-73635 https://www.booking.com/hot... Singapore A Hotel Chinatown Pets are not allowed. pleasant 6.8 https://cf.bstatic.com/xdat... \N From 15:00 \n Guests are re... Singapore 14115436 \N 6860a8e20e819e1f 1779911860285 Until 12:00 14115436 1.2807919 \N 103.8418042 {"Facilities": {"score": 6.... Free WiFi, Family rooms, No... Situated in the real heart ... 2026-05-18 17:08:11 [{"name": "Home", "url": "h... Comfortable Accommodations:... {"check-in": "From 15:00 \\... 089154 2026-05-27 19:57:40 50 Keong Saik Rd., Chinatow... 116 reviews - This is non-smoking prope... ["Home", "Hotels", "Singapo...
-73635 https://www.booking.com/hot... Singapore 21 Carpenter, Singapore, a ... Pets are not allowed. wonderful 9 https://cf.bstatic.com/xdat... \N From 3:00 PM \n Guests are ... Singapore 10860809 \N 2bef8337ad741002 1779911860285 Until 12:00 PM 10860809 1.2885225 \N 103.8473982 {"Facilities": {"score": 9.... Outdoor swimming pool, Free... Located in the heart of Sin... 2026-05-25 00:37:37 [{"name": "Home", "url": "h... Elegant Accommodations: 21 ... {"check-in": "From 3:00 PM ... 059984 2026-05-27 19:57:40 21 Carpenter Street, Boat Q... 207 reviews Guests are required to show... ["Home", "Hotels", "Singapo...
-73635 https://www.booking.com/hot... Singapore 545 Residences - Extended s... Pets are not allowed. pleasant 6.8 https://cf.bstatic.com/xdat... \N From 3:00 PM to 12:30 AM Singapore 13956917 \N a07148603e499aa8 1779911860285 From 9:00 AM to 11:00 AM 13956917 1.2919388 \N 103.7681209 {"Facilities": {"score": 7.... Free Wifi, Family rooms, No... Private parking at the hotel 2026-05-25 17:06:19 [{"name": "Home", "url": "h... Comfortable Accommodations:... {"check-in": "From 3:00 PM ... 118807 2026-05-27 19:57:40 545 Pasir Panjang Road, 118... 86 reviews Please note that between 5/... ["Home", "Hotels", "Singapo...
-73635 https://www.booking.com/hot... Singapore 7 Wonders Boutique Capsule Pets are not allowed. pleasant 6.4 https://cf.bstatic.com/xdat... \N From 3:00 PM to 12:30 AM \n... Singapore 1735385 \N de63c47cdf9782a5 1779911860285 From 7:00 AM to 11:30 AM 1735385 1.3100697705554003 \N 103.85826217790986 {"Facilities": {"score": 6.... Free Wifi, Family rooms, Ai... \N 2026-05-26 10:03:04 [{"name": "Home", "url": "h... 7 Wonders Boutique Capsule ... {"check-in": "From 3:00 PM ... 208930 2026-05-27 19:57:40 257 Jalan Besar, Lavender, ... 1,335 reviews Property\'s contact details... ["Home", "Hotels", "All cap...
-73635 https://www.booking.com/hot... Singapore Hotel 81 Bugis Pets are not allowed. pleasant 6.8 https://cf.bstatic.com/xdat... \N From 3:00 PM \n Guests are ... Singapore 44512 \N adbd61108f146957 1779911860285 Until 11:00 AM 44512 1.2969652708533062 \N 103.85570973157883 {"Facilities": {"score": 6.... Free Wifi, Non-smoking room... Located in the best-rated a... 2026-05-19 01:18:18 [{"name": "Home", "url": "h... Located within the vibrant ... {"check-in": "From 3:00 PM ... 188995 2026-05-27 19:57:40 31 Middle Road, 188995 Sing... 540 reviews Please note that a valid ph... ["Home", "Hotels", "Singapo...

Data Fields

This dataset includes the following data points:

Name
Url
Hotel Id
City
Country
Dest Id
Ufi
Latitude
Longitude
Full Address
Region
Postal Code
Description
Facilities
Highlights
Images
Uniq Id
Scraped At
Score
Label
Total Reviews
Subscores
Checkin
Checkout
Pets
Smoking
Payments
House Rules
Breadcrumb Text
Breadcrumbs
The Fine Print
Version
Imported At

Why This Data

This hotel dataset from Booking provides comprehensive market intelligence and competitive insights. Perfect for:

  • Market Research: Understand market trends and customer preferences
  • Competitive Analysis: Compare pricing, products, and strategies
  • Business Intelligence: Make data-driven decisions
  • Price Monitoring: Track price changes and optimize your pricing

Use Cases

This dataset is perfect for various applications:

Competitive Feature Analysis: Hotel chains analyze the facilities, descriptions, and highlights of top-scoring hotels with high total reviews in Singapore from a popular accommodation booking site to identify key differentiating factors and market best practices.

Personalized Hotel Recommendation Engine Development: Travel technology platforms train machine learning models using hotel descriptions, facilities, subscores, and location data to generate personalized accommodation recommendations for users based on their expressed preferences.

SEO Content Topic Discovery: Digital marketing strategists analyze hotel descriptions, facilities, highlights, and breadcrumb text to identify popular amenities and unique selling propositions, informing content creation for destination guides and travel articles.

Geospatial Market Opportunity Identification: Hotel developers and urban planners utilize latitude, longitude, and full address data to map existing hotel concentrations in Singapore, identifying underserved areas or prime locations for new property development.

Policy and Guest Experience Research: Academic researchers and consumer advocacy groups analyze data points such as Pets, Smoking, House Rules, and The Fine Print to study accommodation policies and their potential impact on guest convenience or regulatory compliance.

Get Access to This Dataset

Start using this dataset today. Available in CSV, JSON, and Excel formats with flexible access options.

Frequently Asked Questions

This dataset provides comprehensive information on Singapore hotels, including core details like `name`, `url`, `hotel_id`, `city`, `country`, `full_address`, `latitude`, and `longitude`. It also features descriptive fields such as `description`, `facilities`, `highlights`, `images`, and `total_reviews` to give a complete picture of each property.

The `score` field indicates the average guest rating for a hotel, while `total_reviews` shows the cumulative number of unique reviews contributing to that score. These metrics offer quick insights into guest satisfaction and the popularity of a specific hotel. Additionally, `subscores` provide a detailed breakdown of ratings across various categories like cleanliness or staff.

The dataset's freshness can be inferred from the `scraped_at` and `_imported_at` timestamps included with each record, indicating when the data for specific hotels was last collected and processed. While a general update frequency is not specified, these timestamps provide transparency on the age of individual data points. Users can expect the information to reflect recent observations from the source platform.

Such structured datasets are typically available in common formats like CSV, JSON, or XML, though the exact format for this specific dataset isn't explicitly stated. Data delivery commonly involves secure download links, API access for programmatic integration, or direct transfer to cloud storage solutions. Users should inquire about their preferred file format and delivery method.

This data is highly valuable for travel agencies, market researchers, hospitality analytics firms, and developers building travel applications. They can utilize it for competitive analysis, pricing intelligence, trend forecasting, creating personalized hotel recommendations, or populating online travel guides. For example, `facilities`, `pets`, and `smoking` fields enable detailed filtering and comparison.

Yes, while this specific dataset focuses on Singapore (`country: ['Singapore']`), custom data collection is typically available to target specific attributes like `checkin` and `checkout` policies, or to expand geographical coverage. Users can specify their precise requirements to gather data relevant to unique locations, hotel types, or specific feature sets beyond what's currently available.

The data is sourced through systematic collection from a popular accommodation booking site, as indicated by the presence of a `url` and unique `hotel_id` for each record. Quality assurance involves robust validation checks, deduplication using `uniq_id`, and regular verification processes to ensure the data's accuracy and completeness. The `_version` field might also indicate different iterations or updates to the data structure.

Absolutely, the dataset includes detailed information on hotel amenities under the `facilities` field, covering services like Wi-Fi, swimming pools, parking, and other guest conveniences. Furthermore, `highlights` capture unique selling points or special features of each property, providing a rich understanding of what each hotel offers beyond basic services. Specific policies like `pets` and `smoking` are also included.