1. 练习准备:
MongoDB的准备:
- MongoDB学习—(1)安装时出现The default storage engine 'wiredTiger' is not available问题解决 http://blog.csdn.net/u013457382/article/details/50775268
- windows下mongodb安装与使用整理:
http://www.cnblogs.com/lecaf/archive/2013/08/23/mongodb.html
MongoDB数据导入导出:
- 新建 collection:db.creatCollection('filename')
简单的MongoDB使用方法:
2. CODE:
import requests
from bs4 import BeautifulSoup
import pymongo
client = pymongo.MongoClient('localhost',27017)
xiaozhu = client['xiaozhu']
sheet_tab = xiaozhu['sheet_tab']
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/52.0.2743.116 Safari/537.36'
}
def main():
urls = ["http://bj.xiaozhu.com/search-duanzufang-p{}-0/".format(number) for number in range(1, 2)]
for url in urls:
wb_data = requests.get(url)
# 开始解析网页数据
soup = BeautifulSoup(wb_data.text, 'lxml')
# 鼠标放到图片上,右键,审查元素,找到链接的css selector
links = soup.select("#page_list > ul > li > a")
# 由于链接有好多个,soup.select返回的是列表,需要用for一个个取出来
for link in links:
# 由于链接地址在标签的href属性里面,所以要用get获取
href = link.get("href")
# 把得到的详情页链接,传给函数,这个函数可以得到详细数据
get_detail_info(href)
def get_lorder_sex(class_name):
if class_name == ['member_boy_ico']:
return '男'
elif class_name == ['member_girl_ico']:
return '女'
def get_detail_info(url):
wb_data = requests.get(url)
# 开始解析详情页数据
soup = BeautifulSoup(wb_data.text, 'lxml')
# 获取名称
titles = soup.select("body > div.wrap.clearfix.con_bg > div.con_l > div.pho_info > h4 > em")
# 获取地址
addresss = soup.select("body > div.wrap.clearfix.con_bg > div.con_l > div.pho_info > p > span.pr5")
# 获取价格
prices = soup.select("#pricePart > div.day_l > span")
# 获取图片
images = soup.select("#curBigImage")
# 获取房东头像
avartars = soup.select("#floatRightBox > div.js_box.clearfix > div.member_pic > a > img")
# 获取房东姓名
names = soup.select("#floatRightBox > div.js_box.clearfix > div.w_240 > h6 > a")
# 获取房东性别
sexs = soup.select("#floatRightBox > div.js_box.clearfix > div.w_240 > h6 > span")
for title, address, price, image, avartar, name, sex in zip(titles, addresss, prices, images, avartars, names, sexs):
# 从标签里面提取内容
data = {
"title": title.get_text(),
"address": address.get_text(),
"price": int(price.get_text()),
"image": image.get("src"),
"avartar": avartar.get("src"),
"name": name.get_text(),
"sex": get_lorder_sex(sex.get("class"))
}
sheet_tab.insert_one(data)
for item in sheet_tab.find({'price':{'$gte':500}}):
print('title: '+ item['title'],'价格: '+ str(item['price']) + '元')
if __name__ == '__main__':
main()
3. 运行结果:
……
title: 劲松双井10号线地铁华腾园大三室整租家庭聚会 价格: 698元
title: 北京居住核心地段,国贸CBD双井,地铁站旁 价格: 548元
title: 简约大气,浪漫舒适,紧邻9号线科怡路 价格: 769元
Process finished with exit code 0