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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.

  • Количество прочтений 111
  • Дата публикации 01-04-2024
  • Язык статьиIngliz
  • Страницы12
English

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.

№ Имя автора Должность Наименование организации
1 Ahmad A.. student Senior Developer Electronic Health Solution
2 Vladyslav Y.. student Kharkiv National University of Radio Electronics
3 Svitlana M.. student Kharkiv National University of Radio Electronics
№ Название ссылки
1 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 2. Z. Deineko, "Features of Database Types," International Journal of Engineering and Information Systems (IJEAIS), 2021, vol. 5, issue 10, pp. 73-80.
3 3. S. Sotnik, T. Shakurova, and V. Lyashenko, “Development Features Web-Applications,” vol. 7, no. 1, pp. 79–85, 2023.
4 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 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.
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