爬虫技术和数据挖掘在网页信息中的应用

Application of Crawler Technology and Data Mining in Web Information

随着网购用户规模的不断扩大,如何挖掘并利用商品的网页信息是当前重要的研究课题。为了充分利用网页信息为购买者提供更加优质的服务,要合理引入爬虫技术和数据挖掘方法,利用Python构建一个基于Scrapy框架的爬虫,将其存储于MySQL数据库,获取电商网页的数据信息,并对爬取的数据进行数据挖掘和提取分析,包括描述性分析和聚类分析等,深入全面地挖掘网页信息潜在的价值。

With the continuous expansion of the scale of online shopping users, how to excavate and use the web page information of goods is an important research topic at present. In order to make full use of web page information to provide better services for buyers, it is necessary to reasonably introduce crawler technology and data mining methods, use Python to build a crawler based on the Scrapy framework,store it in the MySQL database, and obtain the data information of the e-commerce web page. It also conducts data mining and extraction analysis of crawled data, including descriptive analysis and cluster analysis, etc to deeply and comprehensively explore the intrinsic value of Web page information.