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master's thesis
Razvoj web aplikacije za izdvajanje sadržaja temeljene na ekstrakciji podataka
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. urn:nbn:hr:179:382152
Golubić, Gabrijel
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Institutional repository: Repository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Cite this document

Golubić, G. (2021). Razvoj web aplikacije za izdvajanje sadržaja temeljene na ekstrakciji podataka (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:382152

Golubić, Gabrijel. "Razvoj web aplikacije za izdvajanje sadržaja temeljene na ekstrakciji podataka." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:382152

Golubić, Gabrijel. "Razvoj web aplikacije za izdvajanje sadržaja temeljene na ekstrakciji podataka." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:382152

Golubić, G. (2021). 'Razvoj web aplikacije za izdvajanje sadržaja temeljene na ekstrakciji podataka', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 20 November 2024, https://urn.nsk.hr/urn:nbn:hr:179:382152

Golubić G. Razvoj web aplikacije za izdvajanje sadržaja temeljene na ekstrakciji podataka [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2024 November 20] Available at: https://urn.nsk.hr/urn:nbn:hr:179:382152

G. Golubić, "Razvoj web aplikacije za izdvajanje sadržaja temeljene na ekstrakciji podataka", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:382152

Metadata
TitleRazvoj web aplikacije za izdvajanje sadržaja temeljene na ekstrakciji podataka
Title (english)The development of a web application for content serving based on web scraping
AuthorGabrijel Golubić
MentorAna Kuzmanić Skelin (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2021-09-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu je objašnjen pojam mrežnog struganja, načini ekstrakcije podataka iz web dokumenata, razlika alata za ekstrakciju podataka te usporedba istih. Kroz izradu web aplikacije temeljene na ekstrahiranim podacima, prikazan je dizajn arhitekture servera i klijenta, proces odabira izvora podataka i način posluživanja podataka na koristan način kroz sučelje. Koncept aplikacije je automatizirani dohvat informacija o novim oglasima te serviranje podataka korisnicima prema njihovim interesima preko sučelja ili email-ova. Za izradu aplikacije korištene su dvije baze podataka, PostgreSQL i MongoDB, Python programski jezik te FastAPI okvir za serverski dio, Scrapy okvir za struganje podataka te JavaScript programski jezik i biblioteka React za klijentsko sučelje.
Abstract (english)
This paper deals with the concept of web scraping, methods of data extraction from web documents as well as the difference between popular data extraction tools and their comparison. Through the development of a web application based on the extracted data, presented are the design of the server and client architecture, the process of selecting the data source and the way of serving the data in a useful way through the interface. The concept of the application is an automated retrieval of information about new listings and serving that data to users according to their interests via an interface or emails. Two databases were used to create the application, PostgreSQL and MongoDB, Python programming language and FastAPI framework for the backend part, Scrapy framework for data scraping and JavaScript programming language with React library for the client interface.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:382152
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2021-11-30 12:47:26