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System for Extracting Structured Information From Websites

Student: Beschetnov Pavel

Supervisor: Oleg V. Sukhoroslov

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2019

Nowadays, quite often there are tasks that require the collection of data from the Internet. This paper describes the development of the system, which allows users to simplify the solution of such problems. The peculiarity of the developed service is its ease of use, it can be used by people who do not have programming skills. This service provides not only a tool for one-time data extraction but also tracking updates of the site, regular processing of new pages, analysis of received data and notification of the user about changes in the structure of the site pages. The work presents algorithms for effective collection and processing of web documents and extraction of data from them, describes the architecture of the service and the process of developing its backend component. As a result, a system to extract data from web pages was developed and launched at one of the Russian companies.

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