The value of Web Data Scraping: An application to TripAdvisor

Bibliographic Details
Main Author: Barbera, Gianluca
Publication Date: 2023
Other Authors: Araujo, Luiz, Fernandes, Silvia
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.1/20019
Summary: Social Media Analytics (SMA) is more and more relevant in today’s market dynamics. However, it is necessary to use it wisely, either in promoting any kind of product/brand, or interacting with customers. This requires its effective understanding and monitoring. One way is through web data scraping (WDS) tools that allow to select sites and platforms to compare them in their performances. They can optimize extraction of big data published on social media. Due to current challenges, a sector that can particularly take advantage of this source is tourism (and its related sectors). This year has the hope of tourism’s revival after a pandemic whose impacts are still affecting several activities. Many traders and entrepreneurs have already used these versatile tools. However, do they really know their potential? The present study highlights the use of WDS to collect data from TripAdvisor’s social pages. Besides comparing competitors’ performance, companies also gain new knowledge of unnoticed preferences/habits. This contributes to more interesting innovations and results for them and for their customers. The approach used here is based on a project for smart tourism consultancy, from the identification of a gap in our region, to aid tourism organizations to enhance their digital presence and business model. Many things can be detected in this big source of unstructured data very quickly and easily without programming. Moreover, exploring code, either to refine the web scraper or connect it with other platforms/apps, can be an object of future research to leverage consumer behavior prediction for more advanced interactions.
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spelling The value of Web Data Scraping: An application to TripAdvisorSocial mediaData scrapingTourismSmart consultancyCognitive systemSocial Media Analytics (SMA) is more and more relevant in today’s market dynamics. However, it is necessary to use it wisely, either in promoting any kind of product/brand, or interacting with customers. This requires its effective understanding and monitoring. One way is through web data scraping (WDS) tools that allow to select sites and platforms to compare them in their performances. They can optimize extraction of big data published on social media. Due to current challenges, a sector that can particularly take advantage of this source is tourism (and its related sectors). This year has the hope of tourism’s revival after a pandemic whose impacts are still affecting several activities. Many traders and entrepreneurs have already used these versatile tools. However, do they really know their potential? The present study highlights the use of WDS to collect data from TripAdvisor’s social pages. Besides comparing competitors’ performance, companies also gain new knowledge of unnoticed preferences/habits. This contributes to more interesting innovations and results for them and for their customers. The approach used here is based on a project for smart tourism consultancy, from the identification of a gap in our region, to aid tourism organizations to enhance their digital presence and business model. Many things can be detected in this big source of unstructured data very quickly and easily without programming. Moreover, exploring code, either to refine the web scraper or connect it with other platforms/apps, can be an object of future research to leverage consumer behavior prediction for more advanced interactions.MDPISapientiaBarbera, GianlucaAraujo, LuizFernandes, Silvia2023-09-27T14:33:36Z2023-06-212023-09-27T12:36:02Z2023-06-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/20019eng10.3390/bdcc7030121info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-18T17:41:17Zoai:sapientia.ualg.pt:10400.1/20019Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T20:31:52.059892Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv The value of Web Data Scraping: An application to TripAdvisor
title The value of Web Data Scraping: An application to TripAdvisor
spellingShingle The value of Web Data Scraping: An application to TripAdvisor
Barbera, Gianluca
Social media
Data scraping
Tourism
Smart consultancy
Cognitive system
title_short The value of Web Data Scraping: An application to TripAdvisor
title_full The value of Web Data Scraping: An application to TripAdvisor
title_fullStr The value of Web Data Scraping: An application to TripAdvisor
title_full_unstemmed The value of Web Data Scraping: An application to TripAdvisor
title_sort The value of Web Data Scraping: An application to TripAdvisor
author Barbera, Gianluca
author_facet Barbera, Gianluca
Araujo, Luiz
Fernandes, Silvia
author_role author
author2 Araujo, Luiz
Fernandes, Silvia
author2_role author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Barbera, Gianluca
Araujo, Luiz
Fernandes, Silvia
dc.subject.por.fl_str_mv Social media
Data scraping
Tourism
Smart consultancy
Cognitive system
topic Social media
Data scraping
Tourism
Smart consultancy
Cognitive system
description Social Media Analytics (SMA) is more and more relevant in today’s market dynamics. However, it is necessary to use it wisely, either in promoting any kind of product/brand, or interacting with customers. This requires its effective understanding and monitoring. One way is through web data scraping (WDS) tools that allow to select sites and platforms to compare them in their performances. They can optimize extraction of big data published on social media. Due to current challenges, a sector that can particularly take advantage of this source is tourism (and its related sectors). This year has the hope of tourism’s revival after a pandemic whose impacts are still affecting several activities. Many traders and entrepreneurs have already used these versatile tools. However, do they really know their potential? The present study highlights the use of WDS to collect data from TripAdvisor’s social pages. Besides comparing competitors’ performance, companies also gain new knowledge of unnoticed preferences/habits. This contributes to more interesting innovations and results for them and for their customers. The approach used here is based on a project for smart tourism consultancy, from the identification of a gap in our region, to aid tourism organizations to enhance their digital presence and business model. Many things can be detected in this big source of unstructured data very quickly and easily without programming. Moreover, exploring code, either to refine the web scraper or connect it with other platforms/apps, can be an object of future research to leverage consumer behavior prediction for more advanced interactions.
publishDate 2023
dc.date.none.fl_str_mv 2023-09-27T14:33:36Z
2023-06-21
2023-09-27T12:36:02Z
2023-06-21T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
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url http://hdl.handle.net/10400.1/20019
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.3390/bdcc7030121
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