The use of web-scraped data to analyze the dynamics of footwear prices

Abstract

Aim/purpose – Web-scraping is a technique used to automatically extract data from websites. After the rise-up of online shopping, it allows the acquisition of information about prices of goods sold by retailers such as supermarkets or internet shops. This study examines the possibility of using web-scrapped data from one clothing store. It aims at comparing known price index formulas being implemented to the web-scraping case and verifying their sensitivity on the choice of data filter type.

Keywords

• inflation
• cpi
• web-scraping
• online shopping
• big data
• c43
• c49