Airbnb supply and performance - small area summaries

The Urban Big Data Centre (UBDC) conducts a daily web scraping exercise for the Airbnb website, with the code for this exercise openly available. This exercise has been collecting daily information since 2020 on property characteristics, daily booking calendar updates, booking policies, host information, and guest reviews. Data are collected to support academic research by UBDC on the short-term rental sector (Wang 2023, 2024).

These aggregated tables are published as a by-product of that work. This dataset generated from the scraped web content estimates available and occupied listings, visits, occupancy rates and income by tracking individual listings' daily booking calendars, following the open method published by Wang et al. (2024). These metrics are key performance and stock indicators.

From June 2021, it has covered thirty Travel to Work Areas (TTWAs) in Scotland and ten in other parts of the UK. The first version of the dataset covers the Scottish TTWAs only.

The dataset provides monthly estimates, covering a total of 30 months from June 2021 to December 2023. It is published at the Middle Super Output Area (MSOA)/Intermediate Zone (IZ) level for each TTWA, provided there are more than five observed Airbnb listings in that MSOA/IZ. MSOA is the term used in England and Wales, IZ is the term used in Scotland. For simplicity, we refer to both as MSOAs. MSOAs without sufficient observations are omitted.

Reference: Wang, Y., Livingston, M., McArthur, D.P. and Bailey, N., 2023. The challenges of measuring the short-term rental market, an analysis of open data on Airbnb activity. Housing Studies, pp.1-20. Wang, Y., Livingston, M., McArthur, D. P. and Bailey, N. (2024) Enhancing our understanding of short-term rental activity A daily scrape-based approach for airbnb listings Plos one, 19(2), pp. e0298131.

Access and restrictions

  • Airbnb is available for UK Researchers only
  • For non-commercial academic research only

Cite this as

(2024). Airbnb supply and performance - small area summaries [Data set]. University of Glasgow. https://doi.org/10.20394/9rroh1cx
Retrieved: 11:06 05 Dec 2024 (UTC)

Additional Info

Title Airbnb supply and performance - small area summaries
Alternative title
URL short-term-let-airbnb-supply-and-performance-small-area-summaries
Description

The Urban Big Data Centre (UBDC) conducts a daily web scraping exercise for the Airbnb website, with the code for this exercise openly available. This exercise has been collecting daily information since 2020 on property characteristics, daily booking calendar updates, booking policies, host information, and guest reviews. Data are collected to support academic research by UBDC on the short-term rental sector (Wang 2023, 2024).

These aggregated tables are published as a by-product of that work. This dataset generated from the scraped web content estimates available and occupied listings, visits, occupancy rates and income by tracking individual listings' daily booking calendars, following the open method published by Wang et al. (2024). These metrics are key performance and stock indicators.

From June 2021, it has covered thirty Travel to Work Areas (TTWAs) in Scotland and ten in other parts of the UK. The first version of the dataset covers the Scottish TTWAs only.

The dataset provides monthly estimates, covering a total of 30 months from June 2021 to December 2023. It is published at the Middle Super Output Area (MSOA)/Intermediate Zone (IZ) level for each TTWA, provided there are more than five observed Airbnb listings in that MSOA/IZ. MSOA is the term used in England and Wales, IZ is the term used in Scotland. For simplicity, we refer to both as MSOAs. MSOAs without sufficient observations are omitted.

Reference: Wang, Y., Livingston, M., McArthur, D.P. and Bailey, N., 2023. The challenges of measuring the short-term rental market, an analysis of open data on Airbnb activity. Housing Studies, pp.1-20. Wang, Y., Livingston, M., McArthur, D. P. and Bailey, N. (2024) Enhancing our understanding of short-term rental activity A daily scrape-based approach for airbnb listings Plos one, 19(2), pp. e0298131.

Access and restrictions

  • Airbnb is available for UK Researchers only
  • For non-commercial academic research only
Content

The dataset provides monthly estimates, covering a total of 30 months from June 2021 to December 2023. It is published at the Middle Super Output Area (MSOA)/Intermediate Zone (IZ) level for each TTWA, provided there are more than five observed Airbnb listings in that MSOA/IZ. MSOA is the term used in England and Wales, IZ is the term used in Scotland. For simplicity, we refer to both as MSOAs. MSOAs without sufficient observations are omitted.

Subjects Housing
Topics
Dataset Citation
Time Period Coverage June 2021-Dec 2023
Geographical Coverage They cover major cities and tourist hotspots such as Edinburgh, Glasgow, and Highland
Spatial Units Middle Super Output Area (MSOA)/Intermediate Zone (IZ)
Observation Units homes, rooms
Resource Type Dataset
Data Format CSV files
Weighting
Method of Collection

Indicators are defined based on data collected through web scraping.

Collection Status closed-completed/ ongoing
Dataset Aggregation
Data Owner
Data Owner Url
License notspecified
Licence Specifics
Provider b2ba2219-ff6c-461a-a746-e762ef7600fd
Version
Dataset Available
Dataset Closed
Dataset Valid
Dataset Updating Frequency
Dataset Next Version Due
Date Published 2024-07-17
Date of Fieldwork
Dataset File Type
Dataset File Size 1.5 MB
Dataset Creation Date
Dataset Access Restrictions
Metadata Created Date
Metadata Created Institution
Dataset Fields (1)
Field Name:
Description:
Type: