Published April 21, 2024 | Version v1
Journal article Open

A Program for Analyzing the Structure of a Web site Development Using the Parsing Method Based on the Python

Creators

  • 1. Department of Computer-Integrated Technologies, Automation and Robotics, Kharkiv National University of Radio Electronics, Ukraine
  • 2. Senior Developer Electronic Health Solution, Amman, Jordan

Description

This article discusses the development of a program in Python to analyze the structure of a website using the parsing method. The work presents the developed algorithm for the program, describes the software and conducts experiments on web site parsing. The program's algorithm includes sending a GET request to a website, receiving and analyzing the HTML code of the page using the BeautifulSoup library. The find_all('a') method was used to analyze the website structure and extract link information. The obtained data was processed and displayed in a convenient format. It allows you to automate the process of analyzing the structure of a website, which can be useful for web developers, SEO specialists and web resource owners.

Files

172-183 Vladyslav Yevsieiev .pdf

Files (3.4 MB)

Name Size Download all
md5:c388f6f3040fa878cdcba62ded0b6194
3.4 MB Preview Download

Additional details

References

  • 1. Omarov, M., Tikhaya, T., & Lyashenko, V. (2019). Internet marketing metrics visualization methodology for related search queries. International Journal of Advanced Trends in Computer Science and Engineering, 8(5), 2277-2281.
  • 2. Z. Deineko, "Features of Database Types," International Journal of Engineering and Information Systems (IJEAIS), 2021, vol. 5, issue 10, pp. 73-80.
  • 3. S. Sotnik, T. Shakurova, and V. Lyashenko, "Development Features Web-Applications," vol. 7, no. 1, pp. 79–85, 2023.
  • 4. Sotnik, S., Manakov, V. and Lyashenko, V. (2023), "Overview: PHP and MySQL features for creating modern web projects", International Journal of Academic Information Systems Research, Vol. 7, No. 1, pp. 11-17.
  • 5. Omarov, M., TYKHA, T., & Lyashenko, V. (2019). Use of Wavelet Techniques in the Study of Internet Marketing Metrics. Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering, 20, 157-163.
  • 6. Abu-Jassar, A. T., Attar, H., Yevsieiev, V., Amer, A., Demska, N., Luhach, A. K., & Lyashenko, V. (2022). Electronic User Authentication Key for Access to HMI/SCADA via Unsecured Internet Networks. Computational intelligence and neuroscience, 2022, 5866922.
  • 7. Al-Sherrawi, M. H., Lyashenko, V., Edaan, E. M., & Sotnik, S. (2018). Corrosion as a source of destruction in construction. International Journal of Civil Engineering and Technology, 9(5), 306-314.
  • 8. Vasiurenko, O., Lyashenko, V., Baranova, V., & Deineko, Z. (2020). Spatial-Temporal Analysis the Dynamics of Changes on the Foreign Exchange Market: an Empirical Estimates from Ukraine. Journal of Asian Multicultural Research for Economy and Management Study, 1(2), 1-6.
  • 9. Lyashenko, V., Matarneh, R., & Kobylin, O. (2016). Contrast modification as a tool to study the structure of blood components. Journal of Environmental Science, Computer Science and Engineering & Technology, 5(3), 150-160.
  • 10. Nevliudov, I., Yevsieiev, V., Lyashenko, V., & Ahmad, M. A. (2021). GUI Elements and Windows Form Formalization Parameters and Events Method to Automate the Process of Additive Cyber-Design CPPS Development. Advances in Dynamical Systems and Applications, 16(2), 441-455.