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.

DRAKO is a Mobile Location Data provider with a programmatic trading desk specializing in geolocation analytics and programmatic advertising. Our Tourism Data has helped cities, counties, and states better understand who their visitors are so that they can effectively develop and deliver advertising campaigns. We’re in a unique position to deliver enriched insight beyond traditional surveying or other data sources because of our rich dataset, proprietary modelling capabilities, and analytical capabilities.

MAIDs (Mobile Advertising IDs) are unique device identifiers associated with consenting mobile devices that can be utilized for geolocation based analyses and audiences. Drako uses MAIDs to fuel our Tourism Data utilizing our Home Location Model. The Home Location of a MAID is determined based on where that MAID is seen most frequently between the hours of 11pm and 6am (local time). Using this we are able to determine the Home Location of a user which in turn allows us to identify when and where they are travelling.

Beyond identifying that users are tourists, we can also classify them into different bins by their frequency / dwell time over their estimated number of visits. Using our data and frequency, we can identify: overnight visitors, weekend visits, short-term stays, long-term stays, or frequent holiday visitors !

Beyond Tourism Data in your defined geography alone, we are also able to provide: - Home location - Find out where your audience is coming from using our home location technology - Movement - Quantify how far users have travelled between locations. - Demographics - Discover neighborhood level characteristics such as income, ethnicity, and more - Brand index - Learn which major brands and retailers your audience is visiting the most. - Visitation index - See which destinations your visitors are visiting the most - Addressable audience - Customize your audiences for your campaigns using our analytic insights

Moreover, if you’re looking to activate your Tourism Data for advertising, we’re always able to further refine or filter your desired audience with our other Audience Data, such as: Brand visits, Geodemographics, Ticketed Event visits, Purchase Intent (in Canada), Purchase History (in USA), and more !

Data Compliance: All of our Tourism Data is fully CCPA compliant and 100% sourced from SDKs (Software Development Kits), the most reliable and consistent mobile data stream with end user consent available with only a 4-5 day delay. This means that our location and device ID data comes from partnerships with over 1,500+ mobile apps. This data comes with an associated location which is how we are able to segment using geofences.

Data Quality: In addition to partnering with trusted SDKs, DRAKO has additional screening methods to ensure that our mobile location data is consistent and reliable. This includes data harmonization and quality scoring from all of our partners in order to disregard MAIDs with a low quality score.

The Travel Time to Work dataset was compiled using information from December 31, 2023 and updated December 12, 2024 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Travel Time to Work table from the 2023 American Community Survey (ACS) 5-year estimates was joined to 2023 tract-level geographies for all 50 States, District of Columbia and Puerto Rico provided by the Census Bureau. A new file was created that combines the demographic variables from the former with the cartographic boundaries of the latter. The national level census tract layer contains data on the number and percentage of commuters (workers 16 years and over who did not work from home) with a range of travel times to work.

Travel Alerts are issued to disseminate information about short-term conditions, generally within a particular country, that pose imminent risks to the security of U.S. citizens. Natural disasters, terrorist attacks, coups, anniversaries of terrorist events, election-related demonstrations or violence, and high-profile events such as international conferences or regional sports events are examples of conditions that might generate a Travel Alert.

United States Weekly Travel Spending: Arkansas data was reported at 0.095 USD bn in 26 Sep 2020. This records a decrease from the previous number of 0.098 USD bn for 19 Sep 2020. United States Weekly Travel Spending: Arkansas data is updated weekly, averaging 0.097 USD bn from Feb 2020 (Median) to 26 Sep 2020, with 34 observations. The data reached an all-time high of 0.146 USD bn in 07 Mar 2020 and a record low of 0.029 USD bn in 25 Apr 2020. United States Weekly Travel Spending: Arkansas data remains active status in CEIC and is reported by US Travel Association. The data is categorized under Global Database’s United States – Table US.Q007: Weekly Travel Spending.

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.

Monthly VMT/12-month VMT average/Cumulative 12-month VMT

Travel Agents: Punjab data was reported at 0.000 Unit in 2020. This records a decrease from the previous number of 5.000 Unit for 2019. Travel Agents: Punjab data is updated yearly, averaging 5.000 Unit from Dec 2008 (Median) to 2020, with 13 observations. The data reached an all-time high of 14.000 Unit in 2010 and a record low of 0.000 Unit in 2020. Travel Agents: Punjab data remains active status in CEIC and is reported by Ministry of Tourism. The data is categorized under India Premium Database’s Tourism Sector – Table IN.QE005: Travel Agents.

This dataset was obtained from the National Household Travel Survey. Due the volume of the data, it was divided in two. This dataset shows the commuting time and transport mode to work all over the country.

Comprehensive dataset of 3 Travel in Missouri, 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.

These datasets include the analysis year inputs and outputs from the Air Quality Conformity Analysis approved in June 2024. The horizon year is 2050 and reflects the policies and projects adopted in the ON TO 2050 Regional Comprehensive Plan.The air quality analysis is completed twice annually, in the second quarter and the fourth quarter. The data associated with the analysis is named based on the year the analysis was completed and the quarter it was completed. Therefore, the files in these datasets are referred to as c24q2 data.The analysis years for this conformity cycle include 2019, 2025, 2030, 2035, 2040, and 2050. We associate scenario numbers with the analysis years as shown below. You will notice the scenario numbers 100–700 referenced in many of the filenames or in headers within the files.Analysis year scenario numbers:2019 | 1002025 | 2002030 | 3002035 | 4002040 | 5002050 | 700Links to download data files:Travel Demand Model Data (c24q2) - 2019 BaseTravel Demand Model Data (c24q2) - 2025 ForecastTravel Demand Model Data (c24q2) - 2030 ForecastTravel Demand Model Data (c24q2) - 2035 ForecastTravel Demand Model Data (c24q2) - 2040 ForecastTravel Demand Model Data (c24q2) - 2050 Forecast

China Travel Agency: Number of Enterprise data was reported at 39,580.000 Unit in 2023. This records an increase from the previous number of 32,603.000 Unit for 2022. China Travel Agency: Number of Enterprise data is updated yearly, averaging 20,399.000 Unit from Dec 1995 (Median) to 2023, with 29 observations. The data reached an all-time high of 40,682.000 Unit in 2020 and a record low of 3,826.000 Unit in 1995. China Travel Agency: Number of Enterprise data remains active status in CEIC and is reported by Ministry of Culture and Tourism. The data is categorized under China Premium Database’s Tourism Sector – Table CN.QAA: Tourism Industry Overview.

Comprehensive dataset of 7 Travel in Wisconsin, 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.

DATAANT provides the ability to extract travel data from public sources like: - Hotel websites - Flight aggregators - Homestay marketplaces - Experience marketplaces - Online Travel Agencies (OTA) and any open travel industry website you need.

Forecast travel trends with Booking.com, Airbnb, and travel aggregators data.

We support providing both raw and structured data with various delivery methods.

Get the competitive advantage of hospitality and travel Intelligence by scheduled data extractions and receive your data right to your inbox.

DRAKO's Mobile Ad ID Tourism Data can help you segment visitors to your geo and help power your programmatic and social media campaigns. Use our 5 year lookback, 4-5 day delay, 330M+ devices Tourism Data in Canada and the US for city planning, marketing, and advertising.

United States Travelers with Travel Plans in the Next Six Months Comparison data was reported at 65.000 % in 23 Sep 2020. This records a decrease from the previous number of 69.000 % for 09 Sep 2020. United States Travelers with Travel Plans in the Next Six Months Comparison data is updated weekly, averaging 69.000 % from Mar 2020 (Median) to 23 Sep 2020, with 21 observations. The data reached an all-time high of 87.000 % in 11 Mar 2020 and a record low of 64.000 % in 12 Aug 2020. United States Travelers with Travel Plans in the Next Six Months Comparison data remains active status in CEIC and is reported by Longwoods International. The data is categorized under Global Database’s United States – Table US.Q008: Travel Sentiment.

This dataset contains data and analysis from the article Do State Department Travel Warnings Reflect Real Danger?

Key findings

• On the whole, there is a significant relationship between the number of American deaths abroad per capita and the number of travel warnings a country receives
• Mexico, Mali, and Israel have been targeted by the most travel warnings in recent years, but Americans are more likely to be killed in Thailand, Pakistan, and the Philippines
• Several countries with relatively high rates of American death have not been issued a single travel warning in ~7 years, including Belize, Guyana, and Guatemala
• Several countries with relatively low rates of American death have been issued a relatively high number of travel warnings in ~7 years, including Israel, Turkey, and Saudi Arabia
• Overall, countries subject to travel warnings do not see notable declines in American visitors in the 6 months after a warning is issued

Data sources

• BTSOriginUS_10_09_to_06_16.csv Air Carrier Statistics Database export, Bureau of Transportation Statistics
• SDamerican_deaths_abroad_10_09_to_06_16.csv U.S. State Department
• SDwarnings_10_09to06_16.csv U.S. State Department via Internet Archive

Charts / data visualizations

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In the industries of travel, entertainment, and transportation, success hinges on understanding the intricate web of locations that shape consumer experiences. dataplor's comprehensive location intelligence dataset offers an unparalleled view into this global landscape, providing businesses and organizations with the actionable insights they need to thrive.

What's Inside the Dataset: - Venue Variety: From airports and resorts to entertainment venues and transportation hubs, our dataset covers a vast array of locations that define the TET landscape. - Detailed Profiles: Delve into the specifics of each venue, including official names, addresses, and more. - Categorization: Gain a clear understanding of each location's role within the industry through precise categorization by segment (travel, entertainment, transportation) and sub-category (e.g., athletic club, beer hall, comedy club, luxury hotel). - Location Precision: Pinpoint the exact location of each venue with latitude and longitude coordinates, ensuring accuracy for mapping, analysis, and decision-making.

How Our Data Drives Success: - Strategic Planning: Identify untapped markets, assess competition, and make informed decisions about new ventures or expansions. - Targeted Marketing: Develop tailored marketing campaigns that resonate with specific audiences based on location demographics and interests. - Resource Optimization: Improve operational efficiency by understanding the distribution and utilization of transportation infrastructure and entertainment venues. - Enhanced Customer Experiences: Utilize data-driven insights to create personalized experiences that meet the unique needs and preferences of travelers and consumers.

Empower Your Strategy: dataplor's Global Travel, Entertainment & Transportation Locations Dataset is your key to unlocking the full potential of the travel, entertainment, and transportation industries. With our precise, comprehensive, and up-to-date data, you'll gain the competitive edge needed to navigate this dynamic landscape and achieve your business goals.

Comprehensive dataset of 163 Travel agencies in New Hampshire, 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.