ScraperCI: um protótipo de Web scraper para coleta de dados

• Ano de defesa: 2022
• Autor(a) principal: Graciano, Helton Luiz dos Santos
• Orientador(a): Ramalho, Rogério Aparecido Sá
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos; Câmpus São Carlos
• Programa de Pós-Graduação: Programa de Pós-Graduação em Ciência da Informação - PPGCI
• Palavras-chave em Português: Recuperação da informação; Coleta de dados; Mecanismos de busca
• Palavras-chave em Inglês: Information retrieval; Data collection; Web Scraping; Search engines
• Área do conhecimento CNPq: CIENCIAS SOCIAIS APLICADAS::CIENCIA DA INFORMACAO::BIBLIOTECONOMIA
• Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/17166

The 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.