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Scraping the web for evidence of price discrimination
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Resumo(s)
This paper exhibits a study about the practice of price personalisation on e-commerce
websites. With this goal, eleven websites were analysed from three different industries: Fashion
retail, General Retail and Travel. Moreover, to find evidence of this practice, the differentiated
features tested were the device, operating system (OS), browser, and geolocation of the visiting
user. Furthermore, two dimensions of price personalisation were conducted in-depth: price
discrimination and price steering. Finally, summarised research about the existing laws and their
implications is also presented in this report.
Descrição
Palavras-chave
Price personalization Price discrimination Price steering Data science Web scraping Data analysis GDPR