https://brightdata.com/licensehttps://brightdata.com/license
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is the complete breakdown of how much revenue Airbnb makes in commission from listings in each region.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The average host on Airbnb earns $13,800 annually. The fastest-growing host demographic is seniors.
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:
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.
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:
** Open** the Short-Term Rental Eligibility Dataset. In the dataset's search bar, enter the address of the property you are seeking to register.
Find the row containing the correct address and unit of the property you are seeking. This is the information we have for your unit.
Look at the columns marked as “Home-Share Eligible,” “Limited-Share Eligible,” and “Owner-Adjacent Eligible.”
If your unit has a “yes” under “Home-Share Eligible,” “Limited-Share Eligible,” or “Owner-Adjacent Eligible,” you can register your unit here.
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:
No affordability covenant restrictions
Compliance with housing laws and codes
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.
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:
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Demand is calculated by the total number of nights stayed in each region.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Globally gross revenue from Airbnbs increased significantly from $27.69 billion in 2020 to $48.9 billion in 2021.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
https://brightdata.com/licensehttps://brightdata.com/license
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.