What is Short-Term Rental Data? Best Datasets & Databases 2024

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Eugenio Caterino
Editor & Data Industry Expert

What is Short-Term Rental Data?

Short-term rental data refers to information collected and analyzed from platforms like Airbnb, Vrbo, and Booking.com, which provide temporary accommodation listings. This data includes details about rental properties, such as location, availability, pricing, and guest reviews. It helps individuals and businesses understand market trends, optimize pricing strategies, and make informed decisions regarding short-term rental investments and operations.
Examples of short-term rental data include information on the number of bookings, average daily rates, occupancy rates, and guest reviews for properties rented out on platforms like Airbnb or Vrbo. Short-term rental data is used by property owners, investors, and policymakers to analyze market trends, make informed pricing decisions, assess investment opportunities, and regulate the short-term rental industry. In this page, you’ll find the best data sources for short-term rental data.

Best Short-Term Rental Datasets & APIs

4.8(4)

CrawlBee | FurnishedFinder.com Dataset | Mid Term Rental Dataset | Rental Data | Real Estate Data

Available for 1 countries
1M records
1 days of historical data
98% Accuracy
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
revenue share
5.0(2)
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
Free sample preview
10% Datarade discount
revenue share
4.8(4)
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
revenue share

Airbnb data for research purpose

Available for 249 countries
10 years of historical data
Pricing available upon request
Free sample preview
Pricing available upon request
Free sample preview

Monetize data on Datarade Marketplace

List your data on our global B2B marketplace to reach 100k monthly buyers

Top Short-Term Rental Data Providers

Datarade considers factors such as data accuracy, coverage, frequency of updates, historical data availability, data format, API access, pricing, and customer reviews when recommending short term rental data providers.

  • Overview
  • Datasets
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