Leveraging web-scraped data to examine alcohol pricing: an Australian feasibility study with retail data
This study presented an independently cross-checked large-scale and longitudinal web scraping approach to collect alcohol price data, and demonstrated that the adapted data could aid understanding of the alcohol retail market. Web scraping is a feasible method to collect price data to support the development of evidence-based alcohol price policy.
Authors
- Bosco Rowland (ORCID: https://orcid.org/0000-0003-0192-809X)
- Tina Lam (ORCID: https://orcid.org/0000-0002-4902-7293)
- Suzanne Nielsen (ORCID: https://orcid.org/0000-0001-5341-1055)
- Alexandra Torney (ORCID: https://orcid.org/0000-0003-0373-0482)
- Danica Keric (ORCID: https://orcid.org/0000-0002-0311-2062)
- Simone Pettigrew (ORCID: https://orcid.org/0000-0003-3921-1174)
- Brian Vandenberg
- Dan I. Lubman (ORCID: https://orcid.org/0000-0002-6747-1937)
- Sarah Callinan (ORCID: https://orcid.org/0000-0003-4146-1244)
- Colin Angus (ORCID: https://orcid.org/0000-0003-0529-4135)
- Rowan P. Ogeil (ORCID: https://orcid.org/0000-0002-8476-7123)
- Xia Ting
- Robin Room (ORCID: https://orcid.org/0000-0002-5618-385X)
- Cynthia A. Huang (ORCID: https://orcid.org/0000-0002-9218-987X)
- Aaron Cowper
Institutions
- La Trobe University (AU)
- UNSW Sydney (AU)
- Eastern Health (AU)
- Japan Foundation Sydney (AU)
- Cancer Council Western Australia (AU)
- The George Institute for Global Health (AU)
- Monash Health (AU)
- Monash University (AU)
- University of Sheffield (GB)
Publication Details
- Journal
- International Journal of Drug Policy
- Published
- 2025-12-20
- DOI
- https://doi.org/10.1016/j.drugpo.2025.105115
- Citations
- 1
- Primary Topic
- Web Data Mining and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 3.25