网页抓取工具和技术:简要调查

Ruchitaa Raj N R, Nandhakumar Raj S, V. M
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引用次数: 1

摘要

网页抓取可以使用多种语言完成,如c++、Java、JavaScript、PhP、Python、Ruby等。其中,Python是最强大的语言,拥有许多支持web抓取的内置库,对第三方开源库的广泛支持,以及与其他语言相比更高的速度。用于网页抓取的Python库是为快速和高度准确的数据提取而设计的。有许多库可用于web抓取,开发人员可以根据他们的抓取应用程序选择相应的库。本文重点研究了几种网络抓取工具和技术,分析了这些工具的性能,并给出了结果的统计显著性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web Scrapping Tools and Techniques: A Brief Survey
Web scraping can be done using many languages such as C++, Java, JavaScript, PhP, Python, Ruby, etc. Among them, Python stands to be the most powerful language with lots of inbuilt libraries that supports web scraping, extensive support for third-party open-source libraries, and higher speeds compared to other languages. Python libraries for web scraping are designed for fast and highly accurate data extraction. There are many libraries available for web scraping and the developer can choose the respective library in accordance with their scraping application. This paper focuses on the study of several web scraping tools and techniques and analyze the performance of those tools and present the statistical significance of the results.
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