Python-based data mining and analysis

In recent years, online rental properties have become an important way to provide people with rental properties, and this paper was designed using a Python-based Flask framework. The web crawler was used to crawl the required information, and the graphical results of the data analysis were displayed through the ECharts visualisation framework. The overall analysis of the number of listings in different areas of Beijing and the proportion of house types, the proportion of orientation, and the comparison between the average area and the average rent in different areas was carried out. Finally, WordCloud images were drawn on the collected listings data to analyse and research the listings data from multiple dimensions and explore the precise needs of users for some influencing factors such as location, rent or room type.