6 datasets found
  1. b

    Travel Datasets

    • brightdata.com
    .json, .csv, .xlsx
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    Bright Data, Travel Datasets [Dataset]. https://brightdata.com/products/datasets/travel
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    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.
    
  2. s

    Airbnb Commission Revenue By Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Commission Revenue By Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
    Explore at:
    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is the complete breakdown of how much revenue Airbnb makes in commission from listings in each region.

  3. s

    Airbnb Host Demographic Statistics

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Host Demographic Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
    Explore at:
    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The average host on Airbnb earns $13,800 annually. The fastest-growing host demographic is seniors.

  4. A

    Short-Term Rental Eligibility

    • data.boston.gov
    csv
    Updated Mar 26, 2025
    + more versions
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    Short-Term Rental Eligibility [Dataset]. https://data.boston.gov/dataset/short-term-rental-eligibility
    Explore at:
    csv(28781506)Available download formats
    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    Department of Innovation and Technology
    Description

    Click here to check Short-Term Rental Eligibility

    Boston's ordinance on short-term rentals is designed to incorporate the growth of the home-share industry into the City's work to create affordable housing for all residents. We want to preserve housing for residents while allowing Bostonians to benefit from this new industry. Starting on on January 1, 2019, short-term rentals in Boston will need to register with the City of Boston.

    Eligibility for every unit in the City of Boston is dependant on the following six criteria:

    • No affordability covenant restrictions
    • Compliance with housing laws and codes
    • No violations of laws regarding short-term rental use
    • Owner occupied
    • Two- or three-family dwelling
    • Residential use classification

    The Short-Term Rental Eligibility Dataset leverages information, wherever possible, about these criteria. For additional details and information about these criteria, please visit https://www.boston.gov/short-term-rentals.


    ABOUT THIS DATASET

    In June 2018, a citywide ordinance established new guidelines and regulations for short-term rentals in Boston. Registration opened January 1, 2019. The Short-Term Rental Eligibility Dataset was created to help residents, landlords, and City officials determine whether a property is eligible to be registered as a short-term rental.

    The Short-Term Rental Eligibility Dataset currently joins data from the following datasets and is refreshed nightly:


    HOW TO DETERMINE ELIGIBILITY FOR SHORT-TERM RENTAL REGISTRATION

    1. ** Open** the Short-Term Rental Eligibility Dataset. In the dataset's search bar, enter the address of the property you are seeking to register.

    2. Find the row containing the correct address and unit of the property you are seeking. This is the information we have for your unit.

    3. Look at the columns marked as “Home-Share Eligible,” “Limited-Share Eligible,” and “Owner-Adjacent Eligible.”

    4. If your unit has a “yes” under “Home-Share Eligible,” “Limited-Share Eligible,” or “Owner-Adjacent Eligible,” you can register your unit here.


    WHY IS MY UNIT LISTED AS “NOT ELIGIBLE”?

    If you find that your unit is listed as NOT eligible, and you would like to understand more about why, you can use the Short-Term Rental Eligibility Dataset to learn more. The following columns measure each of the six eligibility criteria in the following ways:

    1. No affordability covenant restrictions

      • A “yes” in the “Income Restricted” column tells you that the unit is marked as income restricted and is NOT eligible.

      • The “Income Restricted” column measures whether the unit is subject to an affordability covenant, as reported by the Department of Neighborhood Development and/or the Boston Planning and Development Agency.

      • For questions about affordability covenants, contact the Department of Neighborhood Development.

    2. Compliance with housing laws and codes

      • A “yes” in the “Problem Properties” column tells you that this unit is considered a “Problem Property” by the Problem Properties Task Force and is NOT eligible.

      • Learn more about how “Problem Properties” are defined here.

      • A “yes” in the “Problem Property Owner” column tells you that the owner of this unit also owns a “Problem Property,” as reported by the Problem Properties Task Force.

      • Owners with any properties designated as a Problem Property are NOT eligible.

      • No unit owned by the owner of a “Problem Property” may register a short-term rental.

      • Learn more about how “Problem Properties” are defined here.

      • The “Open Violation Count” column tells you how many open violations the unit has. Units with any open violations are NOT eligible. Violations counted include: violations of the sanitary, building, zoning, and fire code; stop work orders; and abatement orders.

      • NOTE: Violations written before 1/1/19 that are still open will make a unit NOT eligible until these violations are resolved.

      • If your unit has an open violation, visit these links to appeal your violation(s) or pay your code violation fine(s).

      • The “Violations in the Last 6 Months” column tells you how many violations the unit has received in the last six months. Units with three or more violations, whether open or closed, are NOT eligible.

      • NOTE: Only violations written on or after 1/1/19 will count against this criteria.

      • If your unit has an open violation, visit these links to appeal your violation(s) or pay your code violation fine(s).

      • How to comply with housing laws and codes:

      • Have an open violation? Visit these links to appeal your violation(s) or pay your code violation fine(s).

      • Have questions about problem properties? Visit Neighborhood Service’s Problem Properties site.

    3. No violations of laws regarding short-term rental use

      • A “yes” in the “Legally Restricted” column tells you that there is a complaint against the unit that finds

        • A legal restriction that prohibits the use of the unit as a Short-Term Rental under local, state, or federal law, OR

        • legal restriction that prohibits the use of the unit as a Short-Term Rental under condominium bylaws.

        • Units with legal restrictions found upon investigation are NOT eligible.

        • If the investigation of a complaint against the unit yields restrictions of the nature detailed above, we will mark the unit with a “yes” in this column. Until such complaint-based investigations begin, all units are marked with “no.”

        • NOTE: Currently no units have a “legally restricted” designation.

    4. Owner-occupied

      • A “no” in the “Unit Owner-Occupied” column tells you that there is NO Residential Tax Exemption filed for that unit via the Assessing Department, and that unit is automatically categorized as NOT eligible for the following Short-Term Rental types:

        • Home-Share
        • Limited-Share

        • Residential Tax Exemption indicates that a unit is owner-occupied and generates a “yes” in the “Unit Owner-Occupied” column.

        • Owners are not required to file a Residential Tax Exemption in order to be eligible to register a unit as a Short-Term Rental.

        • If you would like to apply for Residential Tax Exemption, you can apply here.

        • If you are the owner-occupant of a unit and you have not filed for Residential Tax Exemption, you can still register your unit by proving owner-occupancy.

        • It is recommended that you submit proof of residency in your short-term rental registration application to expedite the process of proving owner-occupancy (see

  5. s

    Demand Per Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Demand Per Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
    Explore at:
    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Demand is calculated by the total number of nights stayed in each region.

  6. s

    Gross Revenue Per Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Gross Revenue Per Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
    Explore at:
    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Globally gross revenue from Airbnbs increased significantly from $27.69 billion in 2020 to $48.9 billion in 2021.

  7. Not seeing a result you expected?
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Share
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Click to copy link
Link copied
Close
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Bright Data, Travel Datasets [Dataset]. https://brightdata.com/products/datasets/travel

Travel Datasets

Explore at:
.json, .csv, .xlsxAvailable download formats
Dataset authored and provided by
Bright Data
License

https://brightdata.com/licensehttps://brightdata.com/license

Area covered
Worldwide
Description

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.
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