Design background
In recent years, our real estate market has shown a sustained and booming momentum , People's pursuit for the quality of house purchasing , It has developed from a low level to a high level , From the original perceptual house purchase to rational house purchase, it has been continuously improved , The rapid development of information technology makes people's consumption choices more and more fast and scientific , Use the association of data and the combination of people's lives , It will not only bring more scientific consumption , It can also help people adapt their consumption reality , Is that people's lives are better .
Design necessity
China is in a period of accelerated urbanization , The scale of the city is expanding , A large number of people from rural to urban areas , Rural areas have gradually evolved into urban areas , The urban population is increasing . In the process of Urbanization , The housing problem has become the most distressing problem for people , And with the continuous improvement of people's quality of life , Consumers will consider more and more real estate factors in the process of buying a house , for example ： Residential green , Social service facilities around the community , Location resources , Housing prices and other factors , So many problems that these consumers consider in the process of purchasing houses , A complete housing information analysis and recommendation system is particularly important .
The system design
Data acquisition and data storage 
System architecture
front end ：html,css,jquery,Echarts, Baidu Maps
Back end ：Django
Reptiles ：Scrapy
database ：mysql,monggodb
Module partition 
Project directory structure 
System interface display
Data account 
Query statistics
Location resources
