Data of collaborative consumption in online food delivery services

Miguel A. Segura, Juan C. Correa*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


This data article contains data regarding the collaborative consumption that takes place in an Online Food Delivery Platform that connects restaurants owners, and customers who wish to order meals and receive them at home or office. These data are associated with the article “Evaluation of Collaborative consumption of food delivery services through web mining techniques” [1]. These data are stored in a comma separated value format; that can be easily downloaded from a Mendeley data repository (

Original languageEnglish
Article number104007
Pages (from-to)104007
JournalData in Brief
Publication statusPublished - Aug 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 The Author(s)


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