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Information-providing Application Based on Web Crawling

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2024, 10(1), pp.21-27
  • DOI : 10.20465/KIOTS.2024.10.1.021
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : December 29, 2023
  • Accepted : February 4, 2024
  • Published : February 28, 2024

Ju-Hyeon Kim 1 Choi, Jeonghyeo 1 신우경 1 박민준 1 KIM, TAEKOOK 1

1부경대학교

Accredited

ABSTRACT

This paper presents the implementation of a personalized real-time information-providing application utilizing filtering and web crawling technologies. The implemented application performs web crawling based on the user-set keywords within web pages, using the Jsoup library as a basis for the selected keywords. The crawled data is then stored in a MySQL database. The stored data is presented to the user through an application implemented using Flutter. Additionally, mobile push notifications are provided using Firebase Cloud Messaging (FCM). Through these methods, users can efficiently obtain the desired information quickly. Furthermore, there is an expectation that this approach can be applied to the Internet of Things (IoT) where big data is generated, allowing users to receive only the information they need.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.