Reptile project actual combat eight: crawling weather conditions

aims

According to the weather interface, crawl the weather conditions of the next week.

Project preparation

Software: Pycharm
third-party library: requests, BeautifulSoup, csv
interface address: http://api.k780.com:88/?app=weather.future&weaid=city name&appkey=10003&sign=b59bc3ef6191eb9f747dd4e83c99f2a4&format=xml

Interface analysis

http://api.k780.com:88/?app=weather.future&weaid=上海&appkey=10003&sign=b59bc3ef6191eb9f747dd4e83c99f2a4&format=xml

Open this web page.

Code

import requests
from bs4 import BeautifulSoup

print('请输入城市名称：')
cityname=input()
host='http://api.k780.com:88/?app=weather.future&weaid=%s'%cityname
url=host+'&appkey=10003&sign=b59bc3ef6191eb9f747dd4e83c99f2a4&format=xml'
response=requests.get(url)
content=response.text
soup=BeautifulSoup(content,'lxml')
#日期
day=[]
target=soup.find_all('days')
for each in target:
    day.append(each.text)
#星期
week=[]
target=soup.find_all('week')
for each in target:
    week.append(each.text)
#城市
city=[]
target=soup.find_all('citynm')
for each in target:
    city.append(each.text)
#温度
temperature=[]
target=soup.find_all('temperature')
for each in target:
    temperature.append(each.text)
#天气状况
weather=[]
target=soup.find_all('weather')
for each in target:
    weather.append(each.text)
#风向
wind=[]
target=soup.find_all('wind')
for each in target:
    wind.append(each.text)
#风力
winp=[]
target=soup.find_all('winp')
for each in target:
    winp.append(each.text)
length=len(day)
for i in range(length):
    print(day[i],week[i],city[i],temperature[i],weather[i],wind[i],winp[i])

Effect display

Write local

    with open('F:/pycharm文件/document/data.csv', 'a', newline='') as f:
        csvwriter = csv.writer(f, delimiter=',')
        csvwriter.writerow([day[i], week[i],city[i],temperature[i],weather[i],wind[i],winp[i]])

The complete code is as follows:

import requests
from bs4 import BeautifulSoup
import csv
print('请输入城市名称：')
cityname=input()
host='http://api.k780.com:88/?app=weather.future&weaid=%s'%cityname
url=host+'&appkey=10003&sign=b59bc3ef6191eb9f747dd4e83c99f2a4&format=xml'
response=requests.get(url)
content=response.text
soup=BeautifulSoup(content,'lxml')
#日期
day=[]
target=soup.find_all('days')
for each in target:
    day.append(each.text)
#星期几
week=[]
target=soup.find_all('week')
for each in target:
    week.append(each.text)
#城市
city=[]
target=soup.find_all('citynm')
for each in target:
    city.append(each.text)
#温度
temperature=[]
target=soup.find_all('temperature')
for each in target:
    temperature.append(each.text)
#天气状况
weather=[]
target=soup.find_all('weather')
for each in target:
    weather.append(each.text)
#风向
wind=[]
target=soup.find_all('wind')
for each in target:
    wind.append(each.text)
#风力
winp=[]
target=soup.find_all('winp')
for each in target:
    winp.append(each.text)
length=len(day)
for i in range(length):
    print(day[i],week[i],city[i],temperature[i],weather[i],wind[i],winp[i])
    with open('F:/pycharm文件/document/data.csv', 'a', newline='') as f:
        csvwriter = csv.writer(f, delimiter=',')
        csvwriter.writerow([day[i], week[i],city[i],temperature[i],weather[i],wind[i],winp[i]])

Disclaimer: Only for your own study and reference use.