The Booking.com 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 Booking.com 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 Booking.com 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 Booking.com Hotel Price Scraping to analyze accommodation costs, monitor pricing trends, and enhance competitive strategies. By integrating the Booking.com 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 | Guest Rating | Number of Reviews | Hotel Chain / Brand | Booking Platform |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| The Plaza Hotel, New York | BKG001 | Fifth Ave, Manhattan, New York, USA | 40.7644°N, 73.9740°W | 5★ | Deluxe King Room | $720 | USD | 12-Sep-2025 to 15-Sep-2025 | $690 | Spa, Rooftop Bar, City View, Concierge Service | 9.1 | 3,850 | Fairmont Hotels | Booking.com |
| Hilton Paris Opera, France | BKG002 | Rue Saint-Lazare, Paris, France | 48.8750°N, 2.3250°E | 4★ | Superior Queen Room | € 320 | EUR | 20-Sep-2025 to 22-Sep-2025 | € 295 | Free WiFi, Lounge Bar, Fitness Center | 8.7 | 2,450 | Hilton Hotels | Booking.com |
| Shangri-La, Singapore | BKG003 | Orange Grove Rd, Singapore | 1.3110°N, 103.8270°E | 5★ | Horizon Deluxe Room | SGD 480 | SGD | 18-Sep-2025 to 20-Sep-2025 | SGD 450 | Garden View, Infinity Pool, Luxury Dining | 9.2 | 2,700 | Shangri-La Hotels | Booking.com |
$63
Immediate download or SFTP / Cloud delivery (AWS S3, GCS, Azure)
CSV / JSON / XLSX / API
200K
Formats: CSV, JSON, XLSX, API
Records:200K
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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