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.

This dataset contains examples of customer reviews of three hotels.The study is in Excel format and consists of three pages. Each page contains forty comments about the hotel. There are 120 sample hotel reviews in total.

Comprehensive dataset of 91,745 Hotels in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Abstract

This survey reflects the data for the year 2009, and provides us with the main data about Hotel Guests' expenditure which is related to overnight-stay tourists Objectives of the Survey The survey provided data on The characteristics of hotel guests The characteristics of the visit The length of stay of the visit The amount and mode of expenditure during the visit

Geographic coverage

West Bank

Analysis unit

Hotel Guests

Universe

Hotel Guests

Kind of data

Sample survey data [ssd]

Sampling procedure

Strata of design The sample was distributed to two strata, that is Actual strata the sample was distributed by visitor's nationality strata (resident, non resident Post strata the sample was distributed by visitor's sex, and nationality

Sample size The sample size was estimated to be about 2,214 visitors or guests distributed among West Bank hotels

Design a sample survey The sample was a stratified random sample of a standard one stage A randomly stratified sample was selected of guests from the hotel which was visited A different sample of guests at each hotel was selected depending on the size of the hotel (the number of guests in the hotel data for 2008

Distribution of the sample The distribution sample of the guests in hotels in proportion to the size of each stratum of guests nationality resident, and non resident Publishing levels First level West Bank. and according to the guest nationality 3 nationalitiesSecond level North, Central, South of West Bank, and Jerusalem

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire was the main tool for gathering information, so it must conform to the technical specifications of the field work phase, and should meet the requirements of data processing and analysis The questionnaire was designed after considering the methodologies and the recommendations of the United Nations on tourism statistics and taking into account the specificities of the Palestinian community in this aspect

Cleaning operations

The data processing stage consisted of the following steps editing and coding before data entry All questionnaires were edited and coded in the office using the same instructions adopted for editing in the field

Data entry At this stage data was entered into the computer using a data entry template designed in Access. The data entry program was created to satisfy a number of requirements such as Duplication of the questionnaires on the computer screen Check on the logic and consistency of data entered Possibility for internal editing of replies to questions Maintaining a minimum of digital data entry and fieldwork errors User friendly handling Possibility of transferring data into another format to be used and analyzed using other statistical analysis systems such as SPSS

Response rate

97.4%

All hotels in the West Bank were visited and 66 hotels were responded out of 84 The number of questionnaires completed from the guests of the responded hotels was 2157There were 18 hotels from which no completed questionnaires, some of the hotels were not operating during the reference period, some hotels refused to cooperate with fieldworkers, and other hotels the concept of hotel guests does not apply on them because the guests who stay for long-term (more than a year)

Sampling error estimates

Statistical errors These are errors resulting from a study (sample) of the society and not all units of society This survey was implemented on the basis of the sample and therefore data errors could affect the survey results due to the use of a statistical sample rather than a comprehensive inventory of units in the community study and certainly the emergence of differences The values that we expect to be real are obtained through censuses. Calculations can have differences in the related variables

Non-statistical errors The data collection process is characterized by privacy as a result of the nature of the subject, so that the questioning process is subject to greater potential for errors This is because the answers to many questions are subjective and depends on the assessment of the person and is therefore affected by the researcher's degree of awareness during the questioning and other circumstances

Comprehensive dataset of 5 Hotel rooms in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Metrics that can be unearthed will be ones contained in the email booking invoice such as Hotel name, type of room, dates, check in and check out times, price paid, duration of stay. We can go back to 5 years of history.

We also have cancellation emails.

Any hotel vendor can be requested too. We will conduct a search in our database to see if it justifies a parser build to extract the data.

Please contact michelle@measurable.ai for a demo or more data samples.

Context

PromptCloud and DataStock extracted this data from Booking.com to find out the rates and prices and states hotels were available for the period of 1 year from December 2018 to December 2019. This is a sample dataset of 30K records.

You can download the full dataset here

Content

This dataset was procured to give knowledge about the various hotels that are present on Booking.com. This dataset will be helpful for the researchers and students who want these type of specific datasets that can be used for various case studies and projects based on different hotels across the globe that is available on booking.com

The Data Fields That This File Contain Are: Root Folders 456 Root Folders Each Root Folder Contains - Uniq_ID - Hotel_ID - Hotel_Name - Review_Count - Default_Rank - Price_Rank - OTA

Acknowledgements

This dataset was created by PromptCloud's In-House Data Crawling Team

Inspiration

We want users to use clean and raw data which will help them gain access to knowledge about different sites and help them in their various projects or research that they might conduct. We want our customers to feel that they can depend on datasets like this from us and that is what drives us. Customer satisfaction is our main priority and we only wish the best for them and they keep us going.### Context

PromptCloud and DataStock extracted this data from Booking.com to find out the rates and prices and states hotels were available for the time period of 1 year from December 2018 to December 2019. This is a sample dataset of 30K records.

You can download the full dataset here

Content

This dataset was procured to give knowledge about the various hotels that are present on Booking.com. This dataset will be helpful for the researchers and students who want these type of specific datasets that can be used for various case studies and projects based on different hotels across the globe that is available on booking.com

The Data Fields That This File Contain Are: Root Folders 456 Root Folders Each Root Folder Contains - Uniq_ID - Hotel_ID - Hotel_Name - Review_Count - Default_Rank - Price_Rank - OTA

Acknowledgements

This dataset was created by PromptCloud's In-House Data Crawling Team

Inspiration

We want users to use clean and raw data which will help them gain access to knowledge about different sites and help them in their various projects or research that they might conduct. We want our customers to feel that they can depend on datasets like this from us and that is what drives us. Customer satisfaction is our main priority and we only wish the best for them and they keep us going.

Comprehensive dataset of 2,281 Hotels in Ohio, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Our travel datasets provide extensive, structured data covering various aspects of the global travel and hospitality industry. These datasets are ideal for businesses, analysts, and developers looking to gain insights into hotel pricing, short-term rentals, restaurant listings, and travel trends. Whether you're optimizing pricing strategies, analyzing market trends, or enhancing travel-related applications, our datasets offer the depth and accuracy you need.

Key Travel Datasets Available:

  Hotel & Rental Listings: Access detailed data on hotel properties, short-term rentals, and vacation stays from platforms like 
    Airbnb, Booking.com, and other OTAs. This includes property details, pricing, availability, guest reviews, and amenities.

  Real-Time & Historical Pricing Data: Track hotel room pricing, rental occupancy rates, and pricing trends 
    to optimize revenue management and competitive analysis.

  Restaurant Listings & Reviews: Explore restaurant data from Tripadvisor, OpenTable, Zomato, Deliveroo, and Talabat, 
    including restaurant details, customer ratings, menus, and delivery availability.

  Market & Trend Analysis: Use structured datasets to analyze travel demand, seasonal trends, and consumer preferences 
    across different regions.

  Geo-Targeted Data: Get location-specific insights with city, state, and country-level segmentation, 
    allowing for precise market research and localized business strategies.



Use Cases for Travel Datasets:

  Dynamic Pricing & Revenue Optimization: Adjust pricing strategies based on real-time market trends and competitor analysis.
  Market Research & Competitive Intelligence: Identify emerging travel trends, monitor competitor performance, and assess market demand.
  Travel & Hospitality App Development: Enhance travel platforms with accurate, up-to-date data on hotels, restaurants, and rental properties.
  Investment & Financial Analysis: Evaluate travel industry performance for investment decisions and economic forecasting.



  Our travel datasets are available in multiple formats (JSON, CSV, Excel) and can be delivered via 
  API, cloud storage (AWS, Google Cloud, Azure), or direct download. 
  Stay ahead in the travel industry with high-quality, structured data that powers smarter decisions.

Comprehensive dataset of 9,750 Extended stay hotels in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Samples of hotel water sources and data

Comprehensive dataset of 66 Hotel management schools in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 993 Hotels in New Mexico, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 1,822 Hotels in Missouri, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 4 Hotel management schools in Texas, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 47,830 Hotels in Mexico as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 6 Hotel rooms in Poland as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 1,080 Hotels in Maryland, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 1,195 Hotels in Kentucky, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 558 Hotels in Alaska, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.