Web Scraping and Its Use for Teaching in Course Information Systems in Tourism

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F25%3AA0000560" target="_blank" >RIV/47813059:19520/25:A0000560 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-031-98185-2_24" target="_blank" >http://dx.doi.org/10.1007/978-3-031-98185-2_24</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-98185-2_24" target="_blank" >10.1007/978-3-031-98185-2_24</a>

Result language

angličtina

Original language name

Web Scraping and Its Use for Teaching in Course Information Systems in Tourism

Original language description

This paper discusses the use of web scraping in the Information Systems in Tourism course, highlighting its potential to enhance students’ understanding of data management and analysis in the tourism industry. It also explores its application in the hotel industry and reputation management, highlighting the use of tools such as for example Apify, Browse.AI or Outscraper for data extraction and analysis that is preparing students for future careers in the tourism and hospitality sectors. The use of web scraping tools for educational purposes related to hotel industry analysis will also be discussed in this paper. By adding web scraping into the curriculum, students can acquire hands-on experience collecting and analysing real-world data, preparing them for future careers in tourism. This will provide students a hands-on experience understanding how data may be collected and used for decision-making in the tourism business.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Lecture Notes in Computer Science, vol. 15913

ISBN

9783031981845

ISSN

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e-ISSN

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Number of pages

9

Pages from-to

222-230

Publisher name

Springer

Place of publication

Cham

Event location

Oslo

Event date

Jan 1, 2025

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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