The MakeMyTrip 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 MakeMyTrip 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 MakeMyTrip 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 MakeMyTrip Hotel Price Scraping to analyze accommodation costs, monitor pricing trends, and enhance competitive strategies. By integrating the MakeMyTrip 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Taj Palace, New Delhi | MMT001 | Sardar Patel Marg, New Delhi, India | 28.5986°N, 77.1734°E | 5★ | Luxury Room | $12,000 | INR | 10-Sep-2025 to 12-Sep-2025 | $10,800 | Pool, Spa, Business Center, Free WiFi | 4.8 | 3,250 | Taj Hotels | MakeMyTrip |
| ITC Grand Chola, Chennai | MMT002 | Mount Road, Chennai, India | 13.0100°N, 80.2200°E | 5★ | Executive Club Room | $9,500 | INR | 15-Sep-2025 to 17-Sep-2025 | $8,700 | Spa, Gym, Luxury Dining, Airport Shuttle | 4.7 | 2,850 | ITC Hotels | MakeMyTrip |
| Oberoi Udaivilas, Udaipur | MMT003 | Haridasji Ki Magri, Udaipur, India | 24.5764°N, 73.6825°E | 5★ | Premier Lake View Room | $25,000 | INR | 01-Oct-2025 to 03-Oct-2025 | $23,500 | Lake View, Heritage Decor, Pool, Fine Dining | 5 | 1,200 | Oberoi Hotels | MakeMyTrip |
| Novotel Mumbai Juhu Beach | MMT004 | Juhu Beach Road, Mumbai, India | 19.1006°N, 72.8267°E | 4★ | Superior King Room | $8,200 | INR | 12-Sep-2025 to 14-Sep-2025 | $7,400 | Sea View, Rooftop Bar, Fitness Center | 4.4 | 4,100 | Accor Hotels | MakeMyTrip |
$48
Immediate download or SFTP / Cloud delivery (AWS S3, GCS, Azure)
CSV / JSON / XLSX / API
100k
Formats: CSV, JSON, XLSX, API
Records: 100k
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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