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

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  • Julian Hackinger

    (Technical University of Munich)

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.

Suggested Citation

  • Julian Hackinger, 2018. "DataGorri: a tool for automated data collection of tabular web content," Netnomics, Springer, vol. 19(1), pages 31-41, October.
    • Handle: RePEc:kap:netnom:v:19:y:2018:i:1:d:10.1007_s11066-018-9125-2
    DOI: 10.1007/s11066-018-9125-2
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    References listed on IDEAS

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    Cited by:

    1. Hackinger, Julian, 2019. "Ignoring millions of Euros: Transfer fees and sunk costs in professional football," Journal of Economic Psychology, Elsevier, vol. 75(PB).

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    Keywords

    Software; DataGorri; Web scraper; Data scraper; Crawler; Data collection;
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