OptimizedWeb Scraping System Using Multithreading Techniques for Corporate Information Extraction

UDC.coleccionPublicacións UDC
UDC.conferenceTitleXoveTIC: impulsando el talento científico (8º. 2025. A Coruña)
UDC.departamentoCiencias da Computación e Tecnoloxías da Información
UDC.endPage58
UDC.grupoInvLaboratorio Interdisciplinar de Aplicacións da Intelixencia Artificial (LIA2)
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.startPage53
dc.contributor.authorHermo, Francisco
dc.contributor.authorGómez García, Ángel
dc.contributor.authorDafonte, Carlos
dc.date.accessioned2026-09-21T16:45:39Z
dc.date.available2026-09-21T16:45:39Z
dc.date.issued2025
dc.descriptionPresentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.
dc.description.abstract[Abstract] This study aims to automatically identify the various ICT innovations implemented by companies on their websites. To achieve this, web scraping techniques are proposed as the most effective approach. However, the need to process large sets of companies presents challenges in terms of execution time and system performance. To address these issues, our system incorporates multithreading techniques, enabling the concurrent execution of analysis drivers that extract the targeted elements. As a complement to our extraction system, we developed a web application that allows users to visualize the obtained results, organized on a map of Spanish provinces and grouped by the analyzed companies.
dc.identifier.citationHermo, F., Gómez García, Á., & Dafonte, C. (2026). Optimized Web Scraping System Using Multithreading Techniques for Corporate Information Extraction. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 53-58). Servizo de Publicacións UDC. https://doi.org/10.17979/spu.23.c17
dc.identifier.doi10.17979/spu.23.c17
dc.identifier.isbn978-84-9749-925-5
dc.identifier.urihttps://hdl.handle.net/2183/49345
dc.language.isoeng
dc.publisherUniversidade da Coruña, Servizo de Publicacións
dc.relation.urihttps://doi.org/10.17979/spu.23.c17
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectWeb scraping
dc.subjectMultithreading
dc.subjectCorporate information extraction
dc.subjectICT innovation detection
dc.subjectData visualization
dc.titleOptimizedWeb Scraping System Using Multithreading Techniques for Corporate Information Extraction
dc.typeconference output
dspace.entity.typePublication
relation.isAuthorOfPublication29e6d257-7aab-4d8c-bf2d-007f2edffb9d
relation.isAuthorOfPublicationc3c2021f-0b5d-408f-afff-ec09ab5eaeee
relation.isAuthorOfPublication.latestForDiscovery29e6d257-7aab-4d8c-bf2d-007f2edffb9d

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