用requests库和BeautifulSoup4库爬取新闻列表

1:用requests库和BeautifulSoup4库,爬取校园新闻列表的时间、标题、链接、来源。

import requests
from bs4 import BeautifulSoup

url='http://news.gzcc.cn/html/xiaoyuanxinwen/'

res=requests.get(url)
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
        time=news.select('.news-list-info')[0].contents[0].text
        url=news.select('a')[0]['href']
        thumb=news.select('.news-list-thumb')[0].contents[0]
        print(time)
        print(title)
        print(url)
        print(thumb)

 

2.将其中的时间str转换成datetime类型

import requests
from bs4 import BeautifulSoup
from datetime import datetime

url='http://news.gzcc.cn/html/xiaoyuanxinwen/'

res=requests.get(url)
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
        time=news.select('.news-list-info')[0].contents[0].text
        url=news.select('a')[0]['href']
        thumb=news.select('.news-list-thumb')[0].contents[0]
        print(time)
        print(title)
        print(url)
        print(thumb)

3.将取得详细内容的代码包装成函数

import requests
from bs4 import BeautifulSoup
from datetime import datetime

url='http://news.gzcc.cn/html/xiaoyuanxinwen/'

res=requests.get(url)
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
        time=news.select('.news-list-info')[0].contents[0].text
        url=news.select('a')[0]['href']
        thumb=news.select('.news-list-thumb')[0].contents[0]
        print(time)
        print(title)
        print(url)
        print(thumb)

 

4.选一个自己感兴趣的主题,做类似的操作,为“爬取网络数据并进行文本分析”做准备

import requests
from bs4 import BeautifulSoup
jq='http://www.gamersky.com/'
res = requests.get(jq)
res.encoding='utf-8'
soup = BeautifulSoup(res.text,'html.parser')
 
for news in soup.select('li'):
    if len(news.select('a'))>0:
        title=news.select('a')[0].text
        url=news.select('a')[0]['href']
        #time=news.select('span')[0].contents[0].text
        #print(time,title,url)
        print(title,url)

 

posted @ 2017-09-28 11:45  少钏_leo  阅读(228)  评论(0编辑  收藏  举报