1.工具用 Pycharm，Python3.6
2.在 Pycharm 中的Settings->Project:code->Project Interpreter点击右上角绿色’ ’输入requests和 BeautifulSoup选择并安装，BeautifulSoup安装时可能会出现错误，请自行百度查询。
3.代码如下
代码语言：javascript复制import requests
from bs4 import BeautifulSoup
urls = []
city=["nanchang","chongqing","shanghai","beijing","hangzhou"]
for c in range(0,city.__len__()):
for i in range(12, 18):
if i < 10:
i = str(0) str(i)
for j in range(1, 12):
if j < 10:
j = str(0) str(j)
urls.append("http://lishi.tianqi.com/" city[c] "/20" str(i) str(j) ".html")
file = open('wuhan_weather.txt','w')
for url in urls:
print(url[24:32])
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
weather_list = soup.select('div[class="tqtongji2"]')
for weather in weather_list:
if weather.select('a').__len__()>1:
weather_date = weather.select('a')[0].string.encode('utf-8')
ul_list = weather.select('ul')
i = 0
for ul in ul_list:
li_list = ul.select('li')
str = url[24:32] ":"
for li in li_list:
if li.string!=None:
str = (li.string ",").encode('utf-8').decode()
if i != 0:
file.write(str 'n')
i = 1
file.close()4.在同目录文件夹下找到
代码语言：javascript复制wuhan_weather.txt同时也可以将这些数据存入到Excel表中，只需将后缀 .txt改为 .csv 即可。
5.成果如下，共由9k 数据。
