摘要
随着电子商务的蓬勃发展,在各电商平台中都蕴藏了大量有价值的信息数据。从海量数据信息中分析获得较全面的、客观的消费特征对商家的营销策略有很大意义。网络爬虫是获取网络中大量数据的重要途径,通过使用Scrapy爬虫框架,深入解析并获取京东网的产品信息和评论大数据,从中分析品牌、商品、用户三方的属性特征,将数据整合后以简洁、直观的图表形式呈现给商家和消费者,既为消费者提供可靠的参考信息,也使商家更好地了解顾客的特点和需求,从而提升服务质量、促进消费。
With the rapid development of e-commerce,there are a lot of valuable information in various e-commerce platforms.It is of great significance to obtain and analyze comprehensive and objective consumption characteristics from mass data.Web crawler is an important way to obtain large amounts of data from the network,through the Scrapy crawler frame,probing information and comments of the products from Jing Dong website,and analyzing brands,products and user characteristics with intuitive charts for businesses and consumers.The study not only provides consumers with reliable reference information,but also makes business better understand the characteristics and requirements of customers to promote service quality and consumption.
作者
孙小越
王超
SUN Xiao-yue1,WANG Chao2(1.Qingdao University of Technology, Qingdao 266033, China; 2.Qingdao Penghai Software Company, Qingdao 266000, China)
出处
《电脑知识与技术》
2017年第10期276-278,共3页
Computer Knowledge and Technology