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Strganje javnih podatkov za potrebe NK Tolmin
ID PIRIH, TILEN (Author), ID Dobravec, Tomaž (Mentor) More about this mentor... This link opens in a new window

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Abstract
Glavni cilj diplomskega dela je prenovitev spletne strani nogometnega kluba Tolmin, tako da bo posodabljanje podatkov samodejno. Vsi podatki so pridobljeni s tehniko spletnega strganja podatkov, vendar je potrebno poudariti, da upravitelji strani lahko te podatke tudi spreminjajo in po potrebi dopolnjujejo. Ta rešitev drastično pospeši vnos podatkov, saj na ta način ročno vnašanje ni več potrebno, obenem pa so sedaj prikazani tudi podatki, za katere so poprej morali uporabniki obiskati spletno stran Nogometne Zveze Slovenije. Celotna stran ima sedaj tudi prenovljen izgled, ki je z možnostjo samodejnega prilagajanja prijaznejši do uporabnikov, saj do spletne strani dostopajo z različnih naprav. V diplomski nalogi je predstavljen postopek in pristop za uspešno strganje, posodabljanje in kontrolo pridobljenih podatkov.

Language:Slovenian
Keywords:strganje podatkov, shranjevanje podatkov, Python, SQL, spletna aplikacija, samodejno posodabljanje
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2023
PID:20.500.12556/RUL-145003 This link opens in a new window
COBISS.SI-ID:147968003 This link opens in a new window
Publication date in RUL:29.03.2023
Views:457
Downloads:53
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Secondary language

Language:English
Title:Scrapping public data for the needs of FC Tolmin
Abstract:
The main goal of the thesis is to redesign the website of Tolmin football club so that data updates are automated. All data is obtained through web scraping techniques, but it is important to emphasize that site administrators can also modify and supplement this data as needed. This solution drastically speeds up data entry, as manual input is no longer necessary, and now includes information that users previously had to visit the website of the Football Association of Slovenia to access. The entire site now has a revamped appearance, which is more user-friendly with the ability to automatically adapt to various devices. The thesis presents a process and approach for successfully scraping, updating, and controlling acquired data.

Keywords:web scraping, data management, Python, SQL, web application, automatic updating

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