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 Databases & Datasets

Here is our curated selection of top Short-Term Rental Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.

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Top Short-Term Rental Data Providers & Companies

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.

Frequently Asked Questions

Where Can I Buy Short-Term Rental Data?

You can explore our data marketplace to find a variety of Short-Term Rental Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.

How is the Quality of Short-Term Rental Data Maintained?

The quality of Short-Term Rental Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.

How Frequently is Short-Term Rental Data Updated?

The update frequency for Short-Term Rental Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.

Is Short-Term Rental Data Secure?

The security of Short-Term Rental Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.

How is Short-Term Rental Data Delivered?

Short-Term Rental Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Short-Term Rental Data.

How Much Does Short-Term Rental Data Cost?

The cost of Short-Term Rental Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Short-Term Rental Data for your needs.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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