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基于爬虫与数据挖掘的农产品销售数据获取和分析技术研究

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基于互联网时代电子商务成为农产品销售重要渠道的背景,探讨利用网络爬虫从电子商务网站爬取农产品销售数据,并使用Python技术进行数据分析和挖掘的方法及技术.通过解析电子商务网站的HTML内容,提取农产品销售数据,并对其进行深入分析,以揭示市场需求变化、消费者行为模式、价格波动趋势和竞争对手动向,从而制定有效的市场策略,优化产品组合和提升品牌影响力.
Research on agricultural product sales data acquisition and analysis technology based on crawls and data mining
Based on the background that e-commerce has become an important channel for agricultural product sales in the In-ternet era,this paper discusses the methods and technologies of crawling agricultural product sales data from e-commerce websites using web crawlers,and using Python technology for data analysis and mining.By parsing the HTML content of e-commerce web-sites,extracting agricultural product sales data,and conducting in-depth analysis to reveal changes in market demand,consumer behavior patterns,price fluctuations,and competitor trends,effective market strategies can be developed to optimize product combi-nations and enhance brand influence.

Web crawlersdata mininge-commerceagricultural product salesmarket strategy

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内蒙古财经大学计算机信息管理学院,呼和浩特 010070

网络爬虫 数据挖掘 电子商务 农产品销售 市场策略

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(19)