According to the weather forecast, TA’s city began to cool down



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Basic environment configuration

  • python 3.6
  • pycharm
  • requests
  • parsel
  • csv

Relevant modules PIP can be installed

Determine target page



Analyze web pages

General operations of opening developer tools~
Take a look at the data returned from the web page. Do you have any information you want~
As shown in the figure, this website is a static web page, and the data is in the web pageTR taginside

Code part

  • Request web page data
import requests
url = ''
headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36'
response = requests.get(url=url, headers=headers)
  • Parse the web page and extract the desired data
selector = parsel.Selector(response.text)
trs = selector.css('.tb tr')
for tr in trs:
    dit = {}
    date = tr.css('td:nth-child(1)::text').get()
    DIT ['date'] = date
    max_temperature = tr.css('td:nth-child(2)::text').get()
    DIT ['maximum temperature'] = max_ temperature
    min_temperature = tr.css('td:nth-child(3)::text').get()
    DIT ['minimum temperature'] = min_ temperature
    weather = tr.css('td:nth-child(4)::text').get()
    DIT ['weather'] = weather
    wind = tr.css('td:nth-child(5)::text').get()
    DIT ['wind direction'] = wind
    wind_power = tr.css('td:nth-child(6)::text').get()
    DIT ['wind'] = wind_ power


  • Save data
F = open ('weather. CSV ', mode ='a', encoding ='utf-8-sig ', newline =' ')
csv_ Writer = CSV. Dictwriter (F, fieldnames = ['date', 'maximum temperature', 'minimum temperature', 'weather', 'wind direction', 'wind force'])


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