AUTOMATED DATA COLLECTION OF KEY FINANCIAL INDICATORS OF IT ENTERPRISES IN THE REGION
https://doi.org/10.34822/1999-7604-2022-3-39-45
Abstract
The article deals with a new software for automated data collection. Using parsing of open websites, this software allows obtaining a set of the most significant financial and economic indicators of firms for a particular industry in the region in a short time and presents it in an Excel document, resulting in a comprehensive financial and economic analysis of a given industry in the region. A list of required firms published at export-base.ru is a necessary condition for data collection. Python and such key libraries as request, selenium, beautifulsoup4, and csv are selected as the main tool for writing the program. The software developed is tested for quickly obtaining complex data from IT companies in the Rostov Oblast to conduct the financial and economic analysis of the IT industry in the region.
About the Authors
S. O. Kramarov
Southern Federal University, Rostov-on-Don
Russian Federation
Russian Federation
Doctor of Sciences (Physics and Mathematics), Professor
E-mail: maoovo@yandex.ru
V. A. Ovsyannikov
Higher School of Economics, Moscow
Russian Federation
Russian Federation
Master’s Degree Student
E-mail: viktordee41@gmail.com
L. V. Sakharova
Rostov State University of Economics, Rostov-on-Don
Russian Federation
Russian Federation
Doctor of Sciences (Physics and Mathematics), Associate Professor
E-mail: L_Sakharova@mail.ru
R. S. Usatyi
Rostov State University of Economics, Rostov-on-Don
Russian Federation
Russian Federation
Postgraduate
E-mail: rs.usaty@gmail.com
G. V. Lukyanova
Rostov State University of Economics, Rostov-on-Don
Russian Federation
Russian Federation
Candidate of Sciences (Engi-neering), Associate Professor
E-mail: lukyanova.g@yandex.ru
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Review
For citations:
Kramarov S.O., Ovsyannikov V.A., Sakharova L.V., Usatyi R.S., Lukyanova G.V. AUTOMATED DATA COLLECTION OF KEY FINANCIAL INDICATORS OF IT ENTERPRISES IN THE REGION. Proceedings in Cybernetics. 2022;(3 (47)):39-45. (In Russ.) https://doi.org/10.34822/1999-7604-2022-3-39-45
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