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Web scraping of food retail prices

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dc.contributor.authorLoy, Jens-Peter
dc.contributor.authorRen, Yanjun
dc.contributor.editorGandorfer, Markus
dc.contributor.editorHoffmann, Christa
dc.contributor.editorEl Benni, Nadja
dc.contributor.editorCockburn, Marianne
dc.contributor.editorAnken, Thomas
dc.contributor.editorFloto, Helga
dc.date.accessioned2022-02-24T13:34:43Z
dc.date.available2022-02-24T13:34:43Z
dc.date.issued2022
dc.description.abstractIn this paper, we develop a theory of food retail promotional strategy. We test the theory using online food retail prices. A python code is applied to retrieve information from the web page mytime.de. Mytime.de is an online grocery outlet that belongs to the Bünting Group, a food retailer in North-West Germany. The promotional sales on mytime.de show a complementary relationship between breadth and depth of sales, indicating that in order to attract consumers, stores raise both the number (breadth) and the depth of price promotions.en
dc.identifier.isbn978-3-88579-711-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/38392
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-317
dc.subjecte-food retailing
dc.subjectpromotional sales
dc.subjectGermany
dc.titleWeb scraping of food retail pricesen
dc.typeText/Conference Paper
gi.citation.endPage182
gi.citation.publisherPlaceBonn
gi.citation.startPage177
gi.conference.date21.-22. Februar 2022
gi.conference.locationTänikon, Online

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P317 - 42. GIL-Jahrestagung 2022 - Fokus: Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft