10 décembre 2015
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.20873/uft.2447-4266.2015v1n2p23
info:eu-repo/semantics/OpenAccess
Marcio Carneiro dos Santos, « Métodos digitais e a memória acessada por APIs: desenvolvimento de ferramenta para extração de dados de portais jornalísticos a partir da WayBack Machine », HAL-SHS : études de genres, ID : 10.20873/uft.2447-4266.2015v1n2p23
We explore the possibility of automation of data collection from web pages, using the application of customized code built in Python programming language, with specific HTML syntax (Hypertext Markup Language) to locate and extract elements of interest as links, text and images. The automated data collection, also known as scraping is an increasingly common feature in journalism. From the access to the digital repository site www.web.archive.org, also known as WayBackMachine, we develop a proof of concept of an algorithm able to recover, list and offer basic tools of analysis of data collected from the various versions of newspaper portals in time series.