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Title:
Avtomatizacija iskanja prevozov s pomočjo spletnega strganja : diplomsko delo
Authors:
ID
Mataj, Tjaša
(
Author
)
ID
Šprogar, Matej
(
Mentor
)
More about this mentor...
Files:
VS_Mataj_Tjasa_2025.pdf
(3,21 MB)
MD5: 124EA4E8E11C9B5D654EDE632459BBB0
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomskem delu smo razvili spletno aplikacijo, ki uporabnikom omogoča enostavno iskanje voznih redov različnih prevoznikov v Sloveniji. Glavni poudarek je bil na avtomatizaciji iskanja s pomočjo spletnega strganja in povezovanju podatkov iz različnih virov v enoten sistem. Implementirali smo podporo za več ponudnikov, geolokacijsko iskanje bližnjih postaj ter predpomnjenje rezultatov.
Keywords:
spletno strganje
,
spletna stran
,
vozni red
,
javni prevoz
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[T. Mataj]
Year of publishing:
2025
Number of pages:
1 spletni vir (1 datoteka PDF (IX, 71 f.))
PID:
20.500.12556/DKUM-92746
UDC:
004.777:656.132.022.5(043.2)
COBISS.SI-ID:
238843907
Publication date in DKUM:
03.06.2025
Views:
0
Downloads:
22
Metadata:
Categories:
KTFMB - FERI
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Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
09.05.2025
Secondary language
Language:
English
Title:
Automation of a transport search using web scraping
Abstract:
In our thesis, we developed a web application that allows users to search for timetables of various transport providers in Slovenia easily. The main focus was on automating the search using web scraping and integrating data from different sources into a unified system. We implemented support for multiple providers, geolocation-based search for nearby stations, and caching of results.
Keywords:
web scraping
,
website
,
timetable
,
public transport
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