DataGorri: a tool for automated data collection of tabular web content

Julian Hackinger

Netnomics, 2018, vol. 19, issue 1, 31-41

Abstract: Abstract The era of the internet has been a boon for empirical and evidence-based research. By providing ever increasing amounts of data, the internet offers numerous opportunities for new empirical studies. While some research questions require data that was previously more time-consuming to collect, other data was simply not available before the creation of the internet. However, publicly available information is still often unstructured and its collection can be highly resource-intensive. In this paper we present DataGorri, a software enabling the user-friendly and automated collection of repetitive and non-repetitive tabular data that is freely available on websites. This paper depicts the motivation underlying the software’s creation, describes its usage, and discusses its advantages and limitations.

Keywords: Software; DataGorri; Web scraper; Data scraper; Crawler; Data collection (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11066-018-9125-2

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