Approach For Investigating Crowdfunding Campaigns With Platform Data: Case Indiegogo

Jukka Huhtamäki, Lester Lasrado, Karan Menon, Hannu Kärkkäinen, Jari Jussila

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    Crowdfunding via the internet is a relatively new phenomenon in research and gaining momentum currently. While taking a data-driven approach into investigating the properties and dynamics of crowdfunding campaigns would allow the use of computational social science in investigations on crowdfunding, existing data-driven research on crowdfunding remains very limited. This is particularly true on the level of individual funder data. In this study, we contribute to the empirical body of knowledge on crowdfunding by introducing Indiegogo as a data source and, more specifically, the development and implementation of a crawler and scraper for accessing Indiegogo campaign data, and sharing this openly for other researchers. Due to the extremely dynamic and rapidly increasing amount of crowdfunding data in terms of the number of crowdfunding campaigns and the available investment and individual investor data, we believe our approach is useful for supporting public and open data-driven research, instead of providing merely a static data set.
    Original languageEnglish
    Title of host publicationProceedings of the 19th International Academic Mindtrek Conference : Academic MindTrek '15
    EditorsMarkku Turunen
    Number of pages8
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Publication date2015
    ISBN (Print)978145039483
    ISBN (Electronic)9781450339483
    Publication statusPublished - 2015
    Event19th Academic Mindtrek Conference 2015 - Solo Sokos Hotel, Tampere, Finland
    Duration: 22 Sept 201524 Sept 2015
    Conference number: 19


    Conference19th Academic Mindtrek Conference 2015
    LocationSolo Sokos Hotel
    Internet address


    • Crowdfunding
    • Data extraction
    • Indiegogo
    • Entrepreneur
    • Crawling
    • Scraping
    • Computational social science

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