Trivago Scraper Use Cases
Pricing Strategy
Align your hotel pricing with market standards by extracting competitor rates from Trivago.
Review Analysis
Improve service quality by analyzing guest reviews and ratings aggregated from Trivago listings.
Availability Tracking
Ensure optimal booking rates by monitoring competitor room availability data on Trivago in real-time.
Location Insights
Enhance location-based marketing strategies by extracting data on popular destinations and amenities featured on Trivago.
Sample Dataset
Sample Data
[
{
"id": 1,
"hotel_name": "Grand Palace Hotel",
"city": "New York",
"country": "USA",
"rating": 8.7,
"price_per_night": 220,
"currency": "USD",
"booking_platform": "Trivago",
"room_type": "Deluxe Room",
"availability_status": "Available"
},
{
"id": 2,
"hotel_name": "Oceanview Resort",
"city": "Miami",
"country": "USA",
"rating": 9.1,
"price_per_night": 185,
"currency": "USD",
"booking_platform": "Trivago",
"room_type": "Standard Room",
"availability_status": "Limited"
},
{
"id": 3,
"hotel_name": "Royal Orchid Suites",
"city": "London",
"country": "UK",
"rating": 8.3,
"price_per_night": 150,
"currency": "GBP",
"booking_platform": "Trivago",
"room_type": "Suite",
"availability_status": "Sold Out"
},
{
"id": 4,
"hotel_name": "Alpine Peaks Lodge",
"city": "Zurich",
"country": "Switzerland",
"rating": 9.4,
"price_per_night": 260,
"currency": "CHF",
"booking_platform": "Trivago",
"room_type": "Superior Room",
"availability_status": "Available"
},
{
"id": 5,
"hotel_name": "Sakura Inn",
"city": "Tokyo",
"country": "Japan",
"rating": 8.9,
"price_per_night": 170,
"currency": "JPY",
"booking_platform": "Trivago",
"room_type": "Single Room",
"availability_status": "Available"
},
{
"id": 6,
"hotel_name": "Desert Sun Hotel",
"city": "Dubai",
"country": "UAE",
"rating": 8.5,
"price_per_night": 320,
"currency": "AED",
"booking_platform": "Trivago",
"room_type": "Deluxe Room",
"availability_status": "Limited"
},
{
"id": 7,
"hotel_name": "Riviera Blu Resort",
"city": "Nice",
"country": "France",
"rating": 8.8,
"price_per_night": 210,
"currency": "EUR",
"booking_platform": "Trivago",
"room_type": "Luxury Suite",
"availability_status": "Available"
},
{
"id": 8,
"hotel_name": "Maple Leaf Stay",
"city": "Toronto",
"country": "Canada",
"rating": 8.2,
"price_per_night": 145,
"currency": "CAD",
"booking_platform": "Trivago",
"room_type": "Standard Room",
"availability_status": "Available"
},
{
"id": 9,
"hotel_name": "Andes View Hotel",
"city": "Lima",
"country": "Peru",
"rating": 8.0,
"price_per_night": 95,
"currency": "PEN",
"booking_platform": "Trivago",
"room_type": "Double Room",
"availability_status": "Sold Out"
},
{
"id": 10,
"hotel_name": "Emerald Bay Villas",
"city": "Bali",
"country": "Indonesia",
"rating": 9.3,
"price_per_night": 175,
"currency": "IDR",
"booking_platform": "Trivago",
"room_type": "Villa",
"availability_status": "Available"
}
]
| id | hotel_name | city | country | rating | price_per_night | currency | booking_platform | room_type | availability_status |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Grand Palace Hotel | New York | USA | 8.7 | 220 | USD | Trivago | Deluxe Room | Available |
| 2 | Oceanview Resort | Miami | USA | 9.1 | 185 | USD | Trivago | Standard Room | Limited |
| 3 | Royal Orchid Suites | London | UK | 8.3 | 150 | GBP | Trivago | Suite | Sold Out |
| 4 | Alpine Peaks Lodge | Zurich | Switzerland | 9.4 | 260 | CHF | Trivago | Superior Room | Available |
| 5 | Sakura Inn | Tokyo | Japan | 8.9 | 170 | JPY | Trivago | Single Room | Available |
| 6 | Desert Sun Hotel | Dubai | UAE | 8.5 | 320 | AED | Trivago | Deluxe Room | Limited |
| 7 | Riviera Blu Resort | Nice | France | 8.8 | 210 | EUR | Trivago | Luxury Suite | Available |
| 8 | Maple Leaf Stay | Toronto | Canada | 8.2 | 145 | CAD | Trivago | Standard Room | Available |
| 9 | Andes View Hotel | Lima | Peru | 8 | 95 | PEN | Trivago | Double Room | Sold Out |
| 10 | Emerald Bay Villas | Bali | Indonesia | 9.3 | 175 | IDR | Trivago | Villa | Available |
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Most inquired questions
What type of data can Grepsr extract from Trivago?
Grepsr can extract data such as hotel listings, pricing information, reviews, and availability details from Trivago.
How often can the data from Trivago be updated through Grepsr?
Data extraction schedules can be customized to update daily, weekly, or at any specific frequency required by your business needs.
Is it possible to extract data from multiple cities on Trivago using Grepsr?
Yes, Grepsr can simultaneously extract data from several cities to provide a comprehensive dataset tailored to your requirements.
Can Grepsr provide the extracted Trivago data in a format suitable for analysis?
The data can be delivered in various formats, including CSV, JSON, or Excel, making it ready for immediate analysis or integration into your systems.
What level of data accuracy can be expected from Grepsr’s Trivago extraction service?
Grepsr ensures high data fidelity by employing robust extraction techniques and regular monitoring to maintain accuracy and reliability.