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Spletna rešitev za primerjavo cen izdelkov v različnih spletnih trgovinah
ID MAŠINOVIĆ, SANELA (Author), ID Rožanc, Igor (Mentor) More about this mentor... This link opens in a new window

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Abstract
Osrednji cilj diplomskega dela je razviti prototipno spletno rešitev za primerjavo cen med različnimi spletnimi ponudniki, ki je enostavno razširljiva na večje število spletnih trgovin. Izhodišče je pregled funkcionalnosti obstoječih podobnih rešitev. Rešitev zasnujemo kot spletno aplikacijo, ki omogoča hiter in neposreden izpis iskanih izdelkov. Podatke zagotovimo s tehniko strganja podatkov. Končna rešitev na podlagi iskalnega niza poišče in uporabniku prikaže vse artikle, ki jih je možno najti v množici spletnih trgovin, do katerih dostopa rešitev. Rešitev vsebuje nekatere dodatke, ki povečajo učinkovitost iskanja. Spletna aplikacija je razvita v programskem jeziku Python. Za strganje podatkov s spleta smo uporabili knjižnici request in BeautifulSoup. Analiza je pokazala, da je naša prototipna rešitev uporabna v praksi.

Language:Slovenian
Keywords:primerjanje cen, spletne trgovine, strganje podatkov, Python, spletna aplikacija
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2021
PID:20.500.12556/RUL-125697 This link opens in a new window
COBISS.SI-ID:58373635 This link opens in a new window
Publication date in RUL:02.04.2021
Views:1867
Downloads:210
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Secondary language

Language:English
Title:Web solution for comparison of product prices in different web stores
Abstract:
The main goal of the diploma thesis is to develop a prototype online solution for comparing prices between different online providers, which is simply expandable to a larger number of online stores. The starting point is a functionality review of existing similar solutions. We design the solution as a web application which enables fast and direct presentation of the searched products. The data is obtained by the data scraping technique. The final solution is based on the searching. It finds all items that can be found in the multitude of online stores to which the solution has access. The solution includes some add-ons for better search efficiency. The web application is developed in Python and \request and BeautifulSoup libraries are used to scrape data from the web. The analysis proved our prototype solution is useful in practice, too.

Keywords:price comparison, online stores, data scraping, Python, web application

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