1.工具用 Pycharm，Python3.6

2.在 Pycharm 中的Settings->Project:code->Project Interpreter點選右上角綠色’+’輸入requests和 BeautifulSoup選擇並安裝，BeautifulSoup安裝時可能會出現錯誤，請自行百度查詢。

3.程式碼如下

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.在同目錄資料夾下找到

wuhan_weather.txt

同時也可以將這些資料存入到Excel表中，只需將字尾 .txt改為 .csv 即可。

5.成果如下，共由9k+資料。