摘  要

时代在发展，技术在进步，互联网改变了全世界，各行各业都在这个互联网时代寻求自身的增长点，人们的日常生活也越来越离不开互联网。以租房为例，线下租房行业持续遭到冲击，越来越多的年轻人选择在互联网上挑选房源。然而网上信息混杂，数据来源众多，如何提升租房用户体验就成了一个值得探讨的问题。

本文以此为研究方向，设计并实现了一个基于python开源爬虫框架scrapy的租房信息爬取系统，爬取互联网上多个含有此数据的网站。以城市为区分，将多个站点的数据存入非结构化数据库，再以数据库为连接，开发出一个以python开源web框架Django的基础的租房数据展示系统。与此同时，对爬取到的租房数据进行可视化处理。

关键词：scrapy；Django；非结构化数据库；数据可视化

ABSTRACT

The era is developing, technology is progressing, the Internet has changed the whole world. All walks of life are seeking their own growth points in this Internet age, and people’s daily life is becoming more and more inseparable from the Internet.Taking renting as an example, the rental industry has been under constant impact, and more and more young people have chosen to choose housing on the Internet. However, online information is mixed and data sources are numerous. How to improve the user experience of renting has become a problem worth discussing.

As a research direction, this paper designs and implements a renting information crawling system based on Python open source crawler framework scrapy, and crawls several web sites on the Internet. With the city as the distinction, the data of multiple sites are stored in the unstructured database, and then the database is used as the connection to develop a renting data display system based on the python open source web framework Django. At the same time, we can visualize the data of rental housing.

Keywords: scrapy;Django;NoSQL DB;Data visualization