This project can help you crawl second-hand houses data from (lianjia.com)[lianjia.com]. This project is a scrapy project, Scrapy is an opensource crawling framework, it's pretty to use. And I use xpath to resolve second-hand houses data from html souce code.
Before you run my code, you must install scrapy on your machine, you can use pip install it very quickly.
pip install scrapy
Use this command to start it, it will export data into CSV format.
scrapy crawl ershoufang -o item.csv
ershoufang is the name of spider. Actually, there are three spiders in this project ershoufang yanjiao and ershoufanghz, they correspond to the second-hand houses data spider of Beijing, Beijing Yanjiao, and Hangzhou. You can also create your own spider, just need to change the URL in the file ershoufang/spider/ershoufang.py line 8.
In case of be banned by lianjian, I configured somethings in settings.py. eg. disable cookie, change the bot_name, crawl only one time each minute, use different use_agent(I commented it out), etc. I don't use proxy, because I don't have proxy IP source.
这个项目可以帮你从链家爬取二手房数据，这是个scrapy项目。scrapy是一个开源的爬虫框架，很容易使用。我用了xpath来解析网页代码里的二手房数据。
在你开始运行代码前，你必须先在你电脑上安装scrapy，用pip命令很快就可以装好。
pip install scrapy
用这条命令启动代码，把数据导出成csv格式。
scrapy crawl ershoufang -o item.csv
ershoufang 是爬虫的名字，其实在这个项目里我有三个爬虫，ershoufang、yanjiao、ershoufanghz， 分别对应北京、燕郊、杭州的二手房数据爬虫。你也可以创建自己的爬虫，只需要改下ershoufang/spider/ershoufang.py代码第8行的URL就行。
为了防止被链家禁掉，我在settings.py 做了一些配置，比如禁掉cookie，改了bot_name, 每分钟只爬一次，用不同的use_agent(配置被我注释掉了)…… 我没用proxy，因为我没proxy ip资源。