The Skyscanner Hotel Room Rates Dataset provides valuable insights into hotel pricing trends by analyzing real-time rate fluctuations and availability. Businesses can utilize this dataset for competitive benchmarking and strategic pricing decisions. By leveraging advanced techniques to Scrape Skyscanner Pricing Data, companies can access comprehensive hotel price intelligence, enabling data-driven decisions in the dynamic hospitality market.
Effortlessly Extract Valuable Travel Data
Leverage Travel Data Scraping to collect real-time insights from tap travel apps and websites. Access crucial data like hotel availability, Flight schedules, pricing trends, and customer reviews to stay competitive in the travel industry.
The Skyscanner Hotel Room Rates Dataset provides web-scraped hotel pricing data from multiple countries, including the USA, Italy, Germany, Canada, Australia, the UK, UAE, Spain, China, India, Japan, Switzerland, Qatar, Singapore, Ireland, Macao SAR, Luxembourg, Austria, Denmark, and Norway. Businesses can utilize Skyscanner Hotel Price Scraping to analyze accommodation costs, monitor pricing trends, and enhance competitive strategies. By integrating the Skyscanner Room Rate Dataset API, companies gain access to real-time hotel pricing data, helping them optimize booking platforms and improve pricing models. This dataset is valuable for travel businesses, analysts, and developers seeking insights into hotel pricing dynamics, ensuring well-informed decision-making and improved customer experiences in a competitive market.
Hotel Name | Hotel ID | Location / Address | Latitude & Longitude | Star Rating | Room Type | Price Per Night | Currency | Availability / Dates | Lowest OTA Price Shown | Comparison OTAs (Source) | Amenities / Facilities | Guest Rating | Number of Reviews | Hotel Chain / Brand | Source Platform |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Marina Bay Sands, Singapore | SS001 | Bayfront Ave, Singapore | 1.2830°N, 103.8600°E | 5★ | Deluxe City View | SGD 580 | SGD | 20-Sep-2025 to 23-Sep-2025 | SGD 560 | Agoda, Booking.com, Expedia | Infinity Pool, SkyPark, Fine Dining | 9.2/10 | 5,800 | Marina Bay Sands | Skyscanner |
Bellagio Hotel, Las Vegas, USA | SS002 | Las Vegas Blvd, Nevada, USA | 36.1130°N, 115.1760°W | 5★ | Fountain View Suite | $720 | USD | 15-Oct-2025 to 18-Oct-2025 | $695 | Hotels.com, Expedia, Booking.com | Casino, Pool, Fine Dining | 9.0/10 | 4,300 | MGM Resorts | Skyscanner |
Ritz-Carlton, Kyoto, Japan | SS003 | Kamogawa River, Kyoto, Japan | 35.0150°N, 135.7710°E | 5★ | Luxury Garden Suite | ¥135,000 | JPY | 05-Nov-2025 to 08-Nov-2025 | ¥130,500 | Agoda, Trip.com, Booking.com | Spa, Tea Lounge, Garden View | 9.6/10 | 2,100 | Ritz-Carlton | Skyscanner |
Taj Lake Palace, Udaipur, India | SS004 | Lake Pichola, Udaipur, India | 24.5760°N, 73.6820°E | 5★ | Heritage Lake View Suite | $28,500 | INR | 10-Sep-2025 to 12-Sep-2025 | $27,900 | MakeMyTrip, Booking.com, Agoda | Lake View, Heritage Decor, Spa | 9.5/10 | 3,400 | Taj Hotels | Skyscanner |
$63
Immediate download or SFTP / Cloud delivery (AWS S3, GCS, Azure)
CSV / JSON / XLSX / API
150k
Formats: CSV, JSON, XLSX, API
Records: 150k
Integrations: AWS S3, Google Cloud Storage, Azure
Access detailed hotel pricing and availability data to optimize decision-making and improve customer experiences.
Gain real-time insights into room pricing, including:
✈ Hotel Details
🛫 Base Discount Price
💼 Price Variations
🛬 Demand & Availability
Analyze hotel accommodations to improve booking strategies:
🏨 Category & Ratings
🛏 Room & Occupancy
📅 Check-in & Policies
⭐ Reviews & Insights
Utilize Web Scraping Booking.com Hotels Data for benchmarking.
🚗 Price Changes & Discounts
📍 Peak & Off-Peak Trends
🚌 Booking & Availability
Enhance travel intelligence with:
📍 Popular Hotels
⏰ Destinations & Pricing
💰 Preferences & Habits
Tailored to your TripAdvisor Reviews data extraction needs, we provide flexibility in selecting output formats, storage options, and delivery schedules:
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