依赖包 lxml requests BeautifulSoup xlwt xlrd Bs4
mac or linux :
sudo pip2.7 install lxml requests BeautifulSoup xlwt xlrd Bs4
windows:
pip2.7 install lxml requests BeautifulSoup xlwt xlrd Bs4
分析程序需要安装anaconda3.
项目目录说明:
HomeLinkTest : Android 工程(用于破解链家App签名验证内容)
jsonSource: 链家客户端json传内容样本,包含(成交商品列表页,成交商品详情页,成交商品更多内容页)(在售商品列表页,在售商品详情页,在售商品更多内容页)
spider:链家爬虫脚本(python脚本)(爬取PC端在线数据,移动端在售数据和成交数据)
爬虫脚本基于python2.7,jupyter-notebook基于python3
#前言:链家数据爬虫,本文采用两种方式
1.常见的分析PC端HTML进行数据爬取(简单实现在售数据爬取,成交数据需要在移动端查看)
2.破解链家移动端签名密钥,使用客户端接口进行爬取(在售数据及成交数据爬取)
实现功能:
一. web界面爬取
爬取web界面在售内容 https://bj.lianjia.com/ershoufang/ 仅爬取在售内容
python2.7 LianjiaSpider/spider/salingInfoSpider.py
爬取web界面成交内容 https://bj.lianjia.com/chengjiao/
python2.7 LianjiaSpider/spider/chengJiaoSpider.py
二.移动端数据爬取(在售,成交)
基于链家app:https://bj.lianjia.com/ 针对其签名校验进行破解
获取对应的json内容,进行自动爬取(仅做技术交流,请勿进行商业应用或其他侵权行为)
在售数据爬取:
python2.7 LianjiaSpider/spider/zaishou/zaiShouSpider.py
成交数据爬取:
python2.7 LianjiaSpider/spider/zaishou/chengJiaoJiaSpider.py
在售及成交数据自动爬取:
python2.7 LianjiaSpider/spider/Spider_Thread_Manager.py
三.jupyter-notebook分析
安装anaconda3, 在终端中运行jupyter-notebook 然后在弹出网页中打开analysis.ipynb或者 单价因子.ipynb
四.爬取小区数据并作图
python3 plotArea.py [city] [area]
然后在 fig/default目录里查看图片。
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
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