dc.contributorRamalho, Rogério Aparecido Sá
dc.contributorhttp://lattes.cnpq.br/5602653417743793
dc.contributorhttp://lattes.cnpq.br/6704031539568694
dc.creatorGraciano, Helton Luiz dos Santos
dc.date.accessioned2023-01-03T12:22:12Z
dc.date.accessioned2023-09-04T20:25:04Z
dc.date.available2023-01-03T12:22:12Z
dc.date.available2023-09-04T20:25:04Z
dc.date.created2023-01-03T12:22:12Z
dc.date.issued2022-05-12
dc.identifierGRACIANO, Helton Luiz dos Santos. ScraperCI: um protótipo de Web scraper para coleta de dados. 2022. Dissertação (Mestrado em Ciência da Informação) – Universidade Federal de São Carlos, São Carlos, 2022. Disponível em: https://repositorio.ufscar.br/handle/ufscar/17166.
dc.identifierhttps://repositorio.ufscar.br/handle/ufscar/17166
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8629814
dc.description.abstractThe technological development experienced in the last decades, the popularization of the internet and the massive production of information resources of the most varied types, has provided significant changes that culminated in the transformation of the Web environment. The objective of this research is to contribute to the expansion of the perception of the advantages of using data collection tools in the information retrieval process, using Web scrapers. The research is characterized as applied, exploratory and descriptive, with a qualitative approach that aims to identify the potential of using Web scrapers in the information retrieval process. As a result, a Web scraper prototype and a practical demonstration of its use were prepared in the Python programming language. It is concluded that the use of the Web scraper can favor the retrieval of information, expanding the possibilities and bringing greater productivity regarding the extraction of informational resources on the Web. This research will contribute to a greater understanding of the potential of using Web scrapers for data collection and will serve as a stimulus for information professionals to develop new skills and innovative possibilities for professional activity.
dc.languagepor
dc.publisherUniversidade Federal de São Carlos
dc.publisherUFSCar
dc.publisherPrograma de Pós-Graduação em Ciência da Informação - PPGCI
dc.publisherCâmpus São Carlos
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/br/
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Brazil
dc.subjectRecuperação da informação
dc.subjectColeta de dados
dc.subjectMecanismos de busca
dc.subjectInformation retrieval
dc.subjectData collection
dc.subjectWeb Scraping
dc.subjectSearch engines
dc.titleScraperCI: um protótipo de Web scraper para coleta de dados
dc.typeDissertação


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