Understanding Short-Term Rental Data Sources - A Variety of Second-Best Solutions

Pawlicz, Adam and Prentice, Catherine ORCID: https://orcid.org/0000-0002-7700-3889 (2021) Understanding Short-Term Rental Data Sources - A Variety of Second-Best Solutions. In: 6th International Scientific Conference: ToSEE - Tourism in Southern and Eastern Europe (2021), 30 June – 02 July 2021, Opatija, Croatia.


Purpose – This paper aims to identify major supply data sources for short-term rental market research and to provide their advantages and limitations. Methodology – In the paper a grounded approach was used based on a literature review. This review comprised two steps with the first being the query in major databases that was supplemented by academic search engine that resulted in 170 articles. The second step was to investigate the papers’ methodological sections to identify characteristics and limitations of all data sources. Findings – This study identifies three major data sources for the short-term rental market: web scraping with the use of self-made bots, Inside Airbnb and Airdna. A majority (e.g. 74% of papers using Airdna as a source) did not mention any limitations and provide no discussion about the data source, while the remainder gave only superfluous information about possible limitations of its use. Their characteristics and limitations are extensively discussed using a proposed framework that consists of three levels: intermediary, web scraping, and source-specific. Contribution – Very limited number of studies have focused on the short-term rental data sources and this is the first one that discusses advantages and limitation of their use. This paper may be of help to academics or professionals in identifying the right source of data to suit their technical knowledge, financial and technical resources and research areas.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 29 Jul 2022 01:06
Last Modified: 31 Aug 2022 02:40
Uncontrolled Keywords: Airbnb, short-term rental market, web scraping, Airdna, Inside Airbnb
Fields of Research (2020): 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3507 Strategy, management and organisational behaviour > 350799 Strategy, management and organisational behaviour not elsewhere classified
35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3506 Marketing > 350699 Marketing not elsewhere classified
Socio-Economic Objectives (2020): 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280106 Expanding knowledge in commerce, management, tourism and services
URI: http://eprints.usq.edu.au/id/eprint/49839

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