The TripAdvisor 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 TripAdvisor 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 TripAdvisor 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 TripAdvisor Hotel Price Scraping to analyze accommodation costs, monitor pricing trends, and enhance competitive strategies. By integrating the TripAdvisor 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 | Address | Latitude & Longitude | Star Rating | Room Type | Price Per Night | Currency | Availability / Dates | Discount / Offer Price | Amenities / Facilities | Traveler Rating | Number of Reviews | Hotel Chain / Brand | Source Platform | Source Platform |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Waldorf Astoria, Beverly Hills | TA001 | Wilshire Blvd, Los Angeles, USA | 34.0660°N, 118.4140°W | 5★ | Premier King Suite | $890 | USD | 15-Sep-2025 to 18-Sep-2025 | $850 | Rooftop Pool, Spa, Luxury Dining, Valet Parking | 4.7/5 | 2,150 | Hilton Hotels | TripAdvisor | Trivago |
| Hotel de Crillon, Paris, France | TA002 | Place de la Concorde, Paris, France | 48.8680°N, 2.3210°E | 5★ | Prestige King Room | € 710 | EUR | 20-Sep-2025 to 23-Sep-2025 | € 680 | Luxury Spa, Michelin Dining, Concierge | 4.6/5 | 1,920 | Rosewood Hotels | TripAdvisor | Trivago |
| Mandarin Oriental, Bangkok | TA003 | Chao Phraya River, Bangkok, Thailand | 13.7200°N, 100.5130°E | 5★ | River View Deluxe | ฿11,200 | THB | 10-Oct-2025 to 12-Oct-2025 | ฿10,500 | Riverside Pool, Thai Spa, Traditional Dining | 4.8/5 | 3,600 | Mandarin Oriental | TripAdvisor | Trivago |
| Ritz-Carlton, Tokyo, Japan | TA004 | Midtown Tower, Tokyo, Japan | 35.6660°N, 139.7310°E | 5★ | Club Ocean View Room | ¥95,000 | JPY | 05-Nov-2025 to 08-Nov-2025 | ¥92,000 | Sky Lounge, Luxury Spa, Indoor Pool | 4.7/5 | 2,850 | Ritz-Carlton | TripAdvisor | Trivago |
$58
Immediate download or SFTP / Cloud delivery (AWS S3, GCS, Azure)
CSV / JSON / XLSX / API
120k
Formats: CSV, JSON, XLSX, API
Records: 120k
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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