We will create a customized hotels dataset tailored to your specific requirements. Data points may include hotel names, location details, pricing information, amenity lists, guest ratings, occupancy rates, and other relevant metrics.

Utilize our hotels datasets for a variety of applications to boost strategic planning and market analysis. Analyzing these datasets can help organizations understand guest preferences and market trends within the hospitality industry, allowing for more precise operational adjustments and marketing strategies. You can choose to access the complete dataset or a customized subset based on your business needs.

Popular use cases include: optimizing booking strategies, enhancing guest experience, and competitive benchmarking.

In 2024, the Hotel Price Index (HPI) in Spain reached a peak in May at over *** points, which was the highest HPI recorded since at least January 2020 and was above by *** percent versus the same month of the previous year.

The USA Hotels Dataset from Booking.com is a rich collection of data related to hotels across the United States, extracted from Booking.com. This dataset includes essential information about hotel listings, such as hotel names, locations, prices, star ratings, customer reviews, and amenities offered. It's an ideal resource for researchers, data analysts, and businesses looking to explore the hospitality industry, analyze customer preferences, and understand pricing patterns in the U.S. hotel market.

Access 3 million+ US hotel reviews — submit your request today.

Key Features:

• Hotel Information: Includes hotel names, addresses, star ratings, and descriptions.
• Pricing Data: Nightly rates, discounts, and price variations by room type and season.
• Customer Reviews: Aggregated ratings and detailed user feedback from verified guests.
• Amenities: Detailed list of amenities provided by each hotel (e.g., Wi-Fi, parking, spa, swimming pool).
• Geographical Information: Hotel locations including city, state, and proximity to major landmarks.

Use Cases:

• Sentiment Analysis: Analyze customer reviews to gauge hotel service quality and guest satisfaction.
• Price Analysis: Compare pricing across different hotels, locations, and time periods to identify trends.
• Recommendation Systems: Build recommendation engines based on customer ratings, reviews, and preferences.
• Tourism and Hospitality Research: Understand patterns in hotel demand and services across various U.S. cities.

Graph and download economic data for Producer Price Index by Industry: Hotels and Motels, Except Casino Hotels (PCU721110721110) from Dec 2003 to Jul 2025 about casino, hotel, PPI, industry, inflation, price index, indexes, price, and USA.

This statistic shows annual growth in average global hotel rates from 2010 to 2018. Global hotel rates were forecasted to increase by 3.7 percent in 2018.

The average daily rate of the hotel industry in the Americas reached around 123.37 U.S. dollars in 2016.

The OTA, booking websites have a ton of information like pricing, promotions, occupancy reviews, etc about hotels. Our data as a service offering helps our customers get this data through web scraping. The data is refreshed every day and delivered to our customers via Amazon S3, The most common use cases are competitive intelligence and marketing spend optimization.

Hotel Price Index: Hotel Price Index (HPI): Coefficient of variation of the national overall index. Monthly. National.

The average price of accommodation in hotels and similar lodging establishments in the Brazilian City of Rio de Janeiro in amounted to 117 U.S. dollars in February 2024. The average price of hotel rooms reached the highest peak of the previous year in January, at 115 U.S. dollars.

Unlock comprehensive Hospitality, Travel Tourism Data, including Hotel Rates & Pricing, Flight, and Restaurant Data. Dive into insights from Online Travel Agencies (OTAs) and Short-Term Rentals. Explore tourist attractions with our Tourism Data. Take advantage of APISCRAPY Data today!

A list of hotel prices based on time ahead that reservation was made; this is referenced as 'lead time' throughout this dataset. For example, a '6 month' lead time is a reservation made 6 months ahead of time. Six lead times were used: 1 day, 1 week, 1 month, 3 months, 6 months, and 1 year

Graph and download economic data for Producer Price Index by Industry: Hotels and Motels, Except Casino Hotels: Primary Services (PCU721110721110P) from Dec 2003 to Jul 2025 about casino, hotel, primary, services, PPI, industry, inflation, price index, indexes, price, and USA.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Lodging Away from Home in U.S. City Average (CUUR0000SEHB) from Dec 1997 to Jul 2025 about lodging, urban, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

This dataset contains 120 observations and 9 variables. I collected data from www.booking.com. for the purpose of a project i had to make at my college.

The variables are: - ID - Hotel name - Price(BAM): Price for one night In currency of Bosnia and Herzegovina - Hotel star rating: Number of stars (1-5) - Distance: The distance of hotel from city centre in meters - Customer rating: Rating on booking - Rooms: Number of rooms - Squares: m^2 - City: City in which hotel is

Switzerland Restaurants and Hotels Price Index jumped by 2.2% in 2019, compared to the previous year.

The graph depicts the average price of a hotel room in 2010 and 2011* around the world. In Europe, the average cost for a hotel room was 167.76 U.S. dollars.The Hotel Price Index (HPI) is based on bookings made on hotels.com. The prices shown are those actually paid by the customer. The sample set are about 110,000 properties in more than 18,000 global locations.

Average hotel room prices - additional information

In both 2010 and 2011, the Caribbean was the most expensive region in the world to for hotel stays, with an average hotel room price of 207.11 U.S. dollars in 2011. The Caribbean, located to the south east of North America and the Gulf of Mexico, includes many popular vacation destinations such as the Bahamas, Cuba, Barbados and the Dominican Republic. The region is well-known for its natural beauty and luxury resorts. In 2013, Soufriere, St. Lucia, was one of the most expensive destinations for U.S. travelers in terms of hotel costs, second only to Bora Bora in French Polynesia, where the average daily rate for a hotel was 770 U.S. dollars. Despite the cost, Caribbean cruises were the most popular vacations in the U.S. according to travel company Travel Leaders Group.

A close neighbour of the Caribbean, North America saw the lowest average hotel price in 2010 and 2011. While low in comparison to other regions, the average daily rate of hotels in the U.S. has risen year-on-year since the global recession of 2009 and, in 2013, the U.S. hotel industry generated 163 billion U.S. dollars in revenue. The United States also has some expensive destinations of its own: the most expensive U.S. city for hotel rates in 2013 was Honolulu, Hawaii, with an average daily rate of 230 U.S. dollars. New York ranked second at 211 U.S. dollars a night.

As well as being the region with the second highest average hotel price, hotels in Europe also charge the most for room service. Six out of ten of the most expensive cities in the world for hotel room service were located in Europe in 2014. Helsinki in Finland was the most expensive at just under 90 U.S. dollars.

The average price of accommodation in hotels and similar lodging establishments in Mexico City in amounted to 110 U.S. dollars in February 2024. The average price of hotel rooms reached the highest peak of the previous year in October, at 119 U.S. dollars.

Traveller accommodation services price index (TASPI) by client group. Monthly data are available from December 2000. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2013=100).

Hotel Reservation Software Market Outlook

The global hotel reservation software market size was valued at approximately USD 5.6 billion in 2023 and is projected to reach USD 12.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.3% during the forecast period. This substantial growth is primarily driven by the increasing digitalization of the hospitality industry, which is pushing hotels to adopt innovative software solutions to streamline operations and enhance guest experiences. As hotels strive to offer seamless and personalized services to meet the evolving expectations of travelers, the demand for advanced reservation software is anticipated to rise steadily.

One of the key growth factors in the hotel reservation software market is the surging trend of online booking channels. With a significant shift in consumer behavior towards online platforms, hotels are increasingly adopting reservation software that integrates seamlessly with online travel agencies (OTAs) and global distribution systems (GDS). This integration not only helps in maximizing room occupancy rates but also offers customers a convenient booking experience. Furthermore, the proliferation of mobile applications is driving hotels to provide mobile-friendly booking solutions, thus broadening their reach and enhancing customer satisfaction. The convenience and accessibility offered by mobile booking platforms are anticipated to further propel market growth.

Another significant factor contributing to the growth of the hotel reservation software market is the rising importance of data analytics and automation in the hospitality sector. TodayÂ’s competitive market demands that hotels harness the power of data to make informed decisions and optimize their operations. Advanced reservation software equipped with analytics capabilities allows hoteliers to analyze trends, forecast demand, and implement dynamic pricing strategies to maximize revenue. Additionally, automation in reservation processes reduces manual errors, enhances operational efficiency, and improves overall guest experiences. The increasing reliance on data-driven decision-making processes is thus expected to fuel the adoption of hotel reservation software globally.

Moreover, the focus on enhancing guest experiences is a crucial driver for the growth of the hotel reservation software market. Hotels are increasingly investing in technology to personalize guest experiences, as it plays a pivotal role in customer satisfaction and retention. Reservation software with integrated customer relationship management (CRM) systems enables hotels to collect and analyze guest preferences, allowing them to tailor services and offers accordingly. Furthermore, features like automated communication, personalized recommendations, and loyalty programs integrated with reservation systems are becoming essential tools for hotels seeking to differentiate themselves in the competitive landscape. This emphasis on elevating guest experiences is likely to significantly boost the market's growth trajectory.

In the realm of hospitality, Travel Software plays an integral role in enhancing the overall guest experience and operational efficiency. This software encompasses a wide range of applications that assist hotels in managing travel-related services, such as booking flights, arranging transportation, and planning itineraries for guests. By integrating Travel Software with hotel reservation systems, establishments can offer a seamless and comprehensive service to their guests, ensuring that all aspects of their travel are taken care of. This not only improves guest satisfaction but also helps hotels in building long-term relationships with their clientele. As the demand for personalized travel experiences continues to grow, the adoption of Travel Software is expected to rise, further driving the growth of the hotel reservation software market.

Regionally, the hotel reservation software market is witnessing substantial growth across various geographies due to the rising number of international and domestic travelers. North America holds a prominent share in the market, driven by the presence of a robust hospitality infrastructure and high adoption rates of advanced technologies. Europe follows closely, with countries like the UK, France, and Germany leading the way in technology adoption within the hospitality industry. In the Asia Pacific region, rapid digitization and growing tourism activities are expected to drive the market significantly. The burgeoning middle-class population and increasing disposab

Hotel pricing data for Halifax with 50 hotels, 20 verification points and 7% confidence rating

Graph and download economic data for Consumer Price Index: Restaurants and Hotels (COICOP 11): Total for Spain (ESPCP110000GPM) from Feb 2002 to Nov 2023 about hotel, restaurant, Spain, CPI, price index, indexes, and price.