python网络爬虫-爬取北京地区短租房信息 源码

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python网络爬虫-爬取北京地区短租房信息 源码

# -*- coding:UTF-8 -*-
from bs4 import BeautifulSoup
import requests
import time

headers = {
    'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36'
}

def judgment_sex(class_name):
  if class_name == ['member_ico1']:
      return '女'
  else:
      return  '男'

def get_links(url):
    wb_data = requests.get(url,headers=headers)
    soup = BeautifulSoup(wb_data.text,'lxml')
    links = soup.select('#page_list > ul > li > a')
    for link in links:
        href = link.get("href")
        get_info(href)

def get_info(url):
    wb_data = requests.get(url,headers=headers)
    soup = BeautifulSoup(wb_data.text,'lxml')
    tittles = soup.select('div.pho_info > h4')
    addresses = soup.select('span.pr5')
    prices = soup.select('#pricePart > div.day_l > span')
    imgs = soup.select('#floatRightBox > div.js_box.clearfix > div.member_pic > a > img')
    names = soup.select('#floatRightBox > div.js_box.clearfix > div.w_240 > h6 > a')
    sexs = soup.select('#floatRightBox > div.js_box.clearfix > div.member_pic > div')
    for tittle, address, price, img, name, sex in zip(tittles,addresses,prices,imgs,names,sexs):
        data = {
            'tittle':tittle.get_text().strip(),
            'address':address.get_text().strip(),
            'price':price.get_text(),
            'img':img.get("src"),
            'name':name.get_text(),
            'sex':judgment_sex(sex.get("class"))
        }
        print(data)

if __name__ == '__main__':
    urls = ['http://bj.xiaozhu.com/search-duanzufang-p{}-0/'.format(number) for number in range(1,14)]
    for single_url in urls:
        get_links(single_url)
        time.sleep(2)