Custom application programming interface data extractor applied to the Klarna e-commerce dataset

The use of smart technologies, the internet things (IoT), social media, and others produce a billion or more pieces data in different formats. Big has risen to become most sought-after field computer science. e-commerce evolved significantly continued flow until now even after pandemic. So, big technologies helped with development approach collecting, storing, processing, extracting this field. This paper proposes an application programming interface (API) extractor tool applied collection public websites named “Klarna dataset” extract its data, analysis results. study sales given results matching universal tendencies. peak number transactions was between 2018-2019. Thus, highest price United States for “luxury” “fancy” products, Europe were Frankfurt, Germany, hardware gaming material.