requests库和BeautifulSoup4库爬取新闻列表

import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt

txt = open("zuihou.txt","r",encoding=‘utf-8‘).read()
wordlist = jieba.lcut(txt)

 

wl_split=" ".join(wordlist)
mywc = WordCloud().generate(wl_split)
plt.imshow(mywc)
plt.axis("off")
plt.show()

import requests
from bs4 import BeautifulSoup

gzccurl = ‘http://news.gzcc.cn/html/xiaoyuanxinwen/‘
res = requests.get(gzccurl)
res.encoding = ‘utf-8‘

soup = BeautifulSoup(res.text,‘html.parser‘)
for news in soup.select(‘li‘):
    if len(news.select(‘.news-list-title‘))>0:
        title = news.select(‘.news-list-title‘)[0].text
        url = news.select(‘a‘)[0][‘href‘]
        print(title,url)

import requests
from bs4 import BeautifulSoup
from datetime import datetime

gzccurl = ‘http://news.gzcc.cn/html/xiaoyuanxinwen/‘
res = requests.get(gzccurl)
res.encoding = ‘utf-8‘

soup = BeautifulSoup(res.text,‘html.parser‘)
def getdetail(url):
    resd = requests.get(url)
    resd.encoding= ‘utf-8‘
    soupd = BeautifulSoup(resd.text,‘html.parser‘)
    return(soupd.select(‘.show-content‘)[0].text)

for news in soup.select(‘li‘):
    if len(news.select(‘.news-list-title‘))>0:
        title = news.select(‘.news-list-title‘)[0].text
        url = news.select(‘a‘)[0][‘href‘]
        time = news.select(‘.news-list-info‘)[0].contents[0].text
        dt = datetime.strptime(time,‘%Y-%m-%d‘)
        source = news.select(‘.news-list-info‘)[0].contents[1].text
        detail = getdetail(url)
        print(dt,title,url,source,detail)