爬取安居客的信息，并保存到csv文件中。

这里说明下不要用xpath进行爬取，因为会被封。

# 引入包
import requests
from bs4 import BeautifulSoup
import time
import csv

# 定制请求头	换成自己的请求头
headers = {
    'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:61.0) Gecko/20100101 Firefox/61.0',
}
# 输出查询信息
chaxun = input('请输入要查询的城市:')

# 将要访问的网址
link = 'https://'+chaxun+'.anjuke.com/sale/'

# 访问该网站
r = requests.get(link, headers=headers, timeout=100)

# 使用BeautifulSoup提取html中的内容
soup = BeautifulSoup(r.text, 'lxml')
house_list = soup.find_all('li', class_="list-item")

# 将爬取的内容写入 test.csv中，编码格式为 'UTF-8'
with open('test.csv', 'a', encoding='UTF-8', newline='') as csvfile:
    w = csv.writer(csvfile)

    for house in house_list:
        temp = []

        name = house.find('div', class_="house-title").a.text.strip()
        price = house.find('span', class_='price-det').text.strip()
        price_area = house.find('span', class_='unit-price').text.strip()
        no_room = house.find('div', class_='details-item').span.text
        area = house.find('div', class_='details-item').contents[3].text
        floor = house.find('div', class_='details-item').contents[5].text
        year = house.find('div', class_='details-item').contents[7].text
        broker = house.find('span', class_='brokername').text
        broker = broker[1:]
        address = house.find('span', class_='comm-address').text.strip()
        address = address.replace('\xa0\xa0\n                  ', ' ')
        tag_list = house.find_all('span', class_='item-tags')
        tags = [i.text for i in tag_list]
        temp = [name, price, price_area, no_room, area,
                floor, year, broker, address, tags]
        print(temp)
        # 写入表格（test.csv）
        w.writerow(temp)