Python实战计划学习笔记：爬取租房信息 v1.0

敲了那么多年的课本实例，总也没有学会编程。这次能参照实例，写了第一个自己觉得有点实际用途的程序，小小的激动一下！

我的成果：

Snip20160701_2.png

我的代码：

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from bs4 import BeautifulSoup
import requests
import time

url_one = ["http://sh.xiaozhu.com/search-duanzufang-p{}-0/".format(str(i)) for i in range(1,2)]  #房源清单页面地址
#url = "http://sh.xiaozhu.com/fangzi/2943586863.html"

headers = {
    "User_Agent":  'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/47.0.2526.80 Safari/537.36',
    "Cookie": 'abtest_ABTest4SearchDate=b; xzuuid=5ec2c267; _gat_UA-33763849-7=1; __utmt=1; OZ_1U_2282=vid=v77195a84c7816.0&ctime=1467062850<ime=1467062847; OZ_1Y_2282=erefer=-&eurl=http%3A//bj.xiaozhu.com/search-duanzufang-p1-0&etime=1467061671&ctime=1467062850<ime=1467062847&compid=2282; _ga=GA1.2.2126392000.1467061672; __utma=29082403.2126392000.1467061672.1467061672.1467061672.1; __utmb=29082403.14.9.1467062851049; __utmc=29082403; __utmz=29082403.1467061672.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none)',
}

#获取房源详情页面地址
def get_url(url_pages,headers):
    url_two = []    #房源详情页面地址清单
    for url_page in url_pages:
        wb_data = requests.get(url_page, headers=headers)
        time.sleep(4)
        soup = BeautifulSoup(wb_data.text, 'lxml')

        url_ls = soup.select("#page_list > ul > li > a")
        for url in url_ls:
            url_contant = url.get("href")
            url_two.append(url_contant)
    return url_two

#获取房源详情
def get_attractions(url,headers):
    wb_data = requests.get(url, headers = headers)
    soup = BeautifulSoup(wb_data.text,'lxml')

    titles = soup.select("body > div.wrap.clearfix.con_bg > div.con_l > div.pho_info > h4 > em")
    addresses = soup.select("body > div.wrap.clearfix.con_bg > div.con_l > div.pho_info > p > span.pr5")
    rents = soup.select("#pricePart > div.day_l > span")
    house_images = soup.select("#curBigImage")
    landlord_images = soup.select("#floatRightBox > div.js_box.clearfix > div.member_pic > a > img")
    #landlord_sexes = soup.select("")
    landlord_names = soup.select("#floatRightBox > div.js_box.clearfix > div.w_240 > h6 > a")


    for title, address, rent, house_image, landlord_image, landlord_name in zip(titles,addresses,rents,house_images,landlord_images,landlord_names):
        title_contant = title.get_text()
        address_contant = address.get_text()
        rent_contant = rent.get_text()
        house_image_contant = house_image.get("src")
        landlord_image_contant = landlord_image.get("src")
        #landlord_sexes_contant =
        landlord_name_contant = landlord_name.get_text()

    data = {
        "title": title_contant,
        "address": address_contant,
        "rent": rent_contant,
        "house_image": house_image_contant,
        "landlord_imgae": landlord_image_contant,
        "landlord_name": landlord_name_contant
    }
    return data

#主程序

#获取房源详情页面地址
urls = get_url(url_one,headers)

#获取房源详情
for url in urls:
    time.sleep(4)
    print(get_attractions(url,headers))

总结：

• 找出第一层网址的规律，装入列表中
• 从上述列表中的网址中找出第二层网址（每个房子详情页面）链接地址，装入列表中
• 从上述列表中爬取需要的信息，装入字典
• 输出爬取结果

（持续改进中……）