"Python编写淘宝数据爬虫与分析系统：数据采集、存储、分析与可视化"

Abstract: The rapid development of human society and the internet has led more and more people to engage in online shopping. However, effectively acquiring and analyzing product data, summarizing and reducing learning and financial costs, has become a hot topic. This paper proposes a Taobao data crawling system based on Python language, which crawls product information from specified websites, stores it in a specific format after processing it to the database, analyzes the data, and visualizes the various factors affecting the product data to help people efficiently understand what products to do and how to do it. This paper designs a Taobao data crawling system based on Python language on the PyCharm development platform, analyzes and summarizes the obtained data and visualizes it using pandas/numpy/matplotlib libraries. Finally, real-time crawling of data from the Taobao website is implemented, summarizing data characteristics through bar graphs and scatter plots, and constructing linear regression models for both to make the content clearer. Keywords: Python; web crawler; database; product data; data analysis; data visualization; Data acquisition and analysis based on e-commerce network.