基于Python的江苏二手车数据爬取与分析

With the development of the Internet, the amount of data on the Internet has shown an explosive growth. In order to help users better understand the cutting-edge information of the used car market, the efficiency and unique pertinence of crawler technology play an important role in the acquisition of information. The crawler sends HTTP requests to the website server by simulating the user to find the target website, and then parses the HTML data returned by the server response, and then extracts the desired data according to the specific needs. This paper uses crawler technology to obtain all vehicle source data of Jiangsu second-hand cars on the Auto home, and then carries out visual analysis of the collected data. Study the rules hidden behind these massive data.