Business data extraction using a programming language (2022)
- Authors:
- USP affiliated authors: GATSIOS, RAFAEL CONFETTI - FEARP ; LIMA, FABIANO GUASTI - FEARP ; CARMO, FÁBIO BRAGATO DO - ESALQ
- Unidades: FEARP; ESALQ
- DOI: 10.4236/tel.2022.121011
- Subjects: INSTITUIÇÕES FINANCEIRAS; COLETA DE DADOS; TECNOLOGIA DA INFORMAÇÃO; BIG DATA
- Keywords: Data extraction; Big data; Python; Web scraping
- Language: Inglês
- Imprenta:
- Source:
- Título: Theoretical Economics Letters
- ISSN: 2162-2078
- Volume/Número/Paginação/Ano: v. 12, p. 195-215, 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CARMO, Fabio Bragato do et al. Business data extraction using a programming language. Theoretical Economics Letters, v. 12, p. 195-215, 2022Tradução . . Disponível em: https://doi.org/10.4236/tel.2022.121011. Acesso em: 28 fev. 2026. -
APA
Carmo, F. B. do, Magnani, V. M., Gatsios, R. C., & Lima, F. G. (2022). Business data extraction using a programming language. Theoretical Economics Letters, 12, 195-215. doi:10.4236/tel.2022.121011 -
NLM
Carmo FB do, Magnani VM, Gatsios RC, Lima FG. Business data extraction using a programming language [Internet]. Theoretical Economics Letters. 2022 ; 12 195-215.[citado 2026 fev. 28 ] Available from: https://doi.org/10.4236/tel.2022.121011 -
Vancouver
Carmo FB do, Magnani VM, Gatsios RC, Lima FG. Business data extraction using a programming language [Internet]. Theoretical Economics Letters. 2022 ; 12 195-215.[citado 2026 fev. 28 ] Available from: https://doi.org/10.4236/tel.2022.121011 - Relationship between portfolio distribution, management, and composition and the performance of Brazilian fixed-income investment funds (2011-2018)
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Informações sobre o DOI: 10.4236/tel.2022.121011 (Fonte: oaDOI API)
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