爬取中国天气网全部地区的天气，最高气温与最低气温状况(python是3.7版本的)

"""
time:2019.9.25

people:旧纸
"""

import requests
from bs4 import BeautifulSoup
ALL_DATA = []                                                   ##列表装获取的地点，天气，最高气温，最低气温
def parse_page(url):                                              ##定义一个函数，分析页面列表        
    headers = {                                                ##获取页面头部信息
        'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.132 Safari/537.36',
        'Referer':'http://www.weather.com.cn/textFC/hn.shtml'
    }
    response = requests.get(url,headers = headers)               ##获取网页
    text = response.content.decode("utf-8")                       ##编译成网页赋值给text
    soup = BeautifulSoup(text,'html5lib')                         

    conMidtab = soup.find('div',class_='conMidtab')                 ##获取网页中‘div’，class = ‘conMidtab’的元素conMidtab

tables = conMidtab.find_all('table')                             ##获取conMidtab里面的table元素

for table in tables:
        trs = table.find_all('tr')[2:]
        for index,tr in enumerate(trs):
            tds = tr.find_all('td')
            city_td = tds[0]                            ###获取城市
            if index == 0:
                city_td = tds[1]
            city = list(city_td.stripped_strings)[0]    ###获取城市
            temp_td = tds[-2]
            ##获取最低温度
            temp = list(temp_td.stripped_strings)[0]    #获取最低温度
            weather_td = tds[4]                         ##获取天气
            if index == 0:
                weather_td = tds[5]
            weather = list(weather_td.stripped_strings)[0]  ##获取天气
            max_temp_td = tds[3]                         ##获取最高气温
            if index == 0:
                max_temp_td = tds[4]
            max_temp = list(max_temp_td.stripped_strings)[0]
            #ALL_DATA.append({'城市：':city,'天气：':weather,'最高气温':max_temp,'最低气温':temp})
            # print(ALL_DATA)
            print({'城市：':city,'天气：':weather,'最高气温':max_temp,'最低气温':temp})
def main():
    region = ['hb','db','hd','hz','hn','xb','xn']   #,'gat'
    for x in region:
        url = 'http://www.weather.com.cn/textFC/{}.shtml'.format(x)
        parse_page(url)
    # url = 'http://www.weather.com.cn/textFC/gat.shtml'
    # parse_page(url)
    #分析数据
    ##提取前面十个最冷的气温(排序)

if __name__ == '__main__':
    main()

效果图