Acceleration of data collection and analysis using asynchronous programming tools in Web Scraping

DOI: 10.31673/2412-9070.2024.032327

Abstract

This article discusses the importance and relevance of using web scraping technologies to effectively collect a significant amount of information in various fields. The potential of using asynchronous tools for fast and productive data retrieval from large-scale web resources has been studied. The article analyzes in detail the possibilities of using asynchronous tools in the context of web scraping, considering their advantages compared to synchronous approaches. Special attention is paid to the use of the Requests libraries, which provide tools for the standard linear approach, and Asyncio, Aiohttp, which help implement the asynchronous approach. After that, the article conducts a comparative analysis of their performance in the scenario of data collection from the website. The development process using the Python programming language is described in detail, and code is presented that illustrates each stage of the execution of the synchronous and asynchronous algorithms in combination with the libraries presented. The authors of the article consider asynchronous web scraping as a powerful tool for creating fast and efficient data collection mechanisms that can be used to train models and analyze large volumes of information. The article discusses the importance of further development of this method in order to ensure high speed of data collection and improve their applicability in various areas. It demonstrates the practical advantages of asynchronous web scraping, and also indicates the prospects for improving this method to improve the collection and processing of information on a scale that goes beyond standard methods. Further research may consider aspects of automating and expanding the capabilities of asynchronous web scraping, as well as the impact of this approach on the development of other areas of information technology. Taking these aspects into account will contribute to the further evolution and optimization of web scraping technologies for a wide range of applications.

Keywords: asynchronous programming; web scraping; Python; Requests; Asyncio; Aiohttp; BeautifulSoup.