现代计算机2024，Vol.30Issue(19) ：32-36.DOI:10.3969/j.issn.1007-1423.2024.19.007

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

Research on agricultural product sales data acquisition and analysis technology based on crawls and data mining

于海英
现代计算机2024，Vol.30Issue(19) ：32-36.DOI:10.3969/j.issn.1007-1423.2024.19.007
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  • 万方数据

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

Research on agricultural product sales data acquisition and analysis technology based on crawls and data mining

于海英1
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作者信息

  • 1. 内蒙古财经大学计算机信息管理学院,呼和浩特 010070
  • 折叠

摘要

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.

Abstract

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.

关键词

网络爬虫/数据挖掘/电子商务/农产品销售/市场策略

Key words

Web crawlers/data mining/e-commerce/agricultural product sales/market strategy

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出版年

2024
现代计算机
中大控股

现代计算机

影响因子：0.292
ISSN：1007-1423
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