TITLE:
Business Data Extraction Using a Programming Language
AUTHORS:
Fabio Bragato Do Carmo, Vinícius Medeiros Magnani, Rafael Confetti Gatsios, Fabiano Guasti Lima
KEYWORDS:
Data Extraction, Big Data, Python, Web Scraping
JOURNAL NAME:
Theoretical Economics Letters,
Vol.12 No.1,
February
14,
2022
ABSTRACT: In the era of great informational quantity, the
presence of technologies that assist in the extraction, transformation, and
loading of data has become increasingly necessary. The term Big Data, usually
used to describe this volume of information, requires the user to have
knowledge of multiple tools such as Excel, VBA, SQL, Tableau, Python, Spark,
AWS, and so on. In this context, the
present work aims to study data extraction techniques using different methodologies. At the end of the work, a library of functions in the Python
language will be made available that will deliver a compilation of stock price
information available on the Yahoo Finance website as well as balance sheets
from financial institutions released by Bacen. The main resource used will be Web
Scraping, which is a method that aims to automate data collection via the web.
Once the collection of functions has been structured, it will be made available
for public enjoyment through the GitHub platform.