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 a=requests.get(‘http://news.gzcc.cn/html/xiaoyuanxinwen/‘) a.encoding=‘utf-8‘ soup=BeautifulSoup(a.text,‘html.parser‘) for xinwen in soup.select(‘li‘): if len(xinwen.select(‘.news-list-description‘))>0: time = xinwen.select(‘.news-list-info‘)[0].contents[0].text title = xinwen.select(‘.news-list-description‘)[0].text source = xinwen.select(‘.news-list-description‘)[0].text url = xinwen.select(‘a‘)[0][‘href‘] print(time,title,source,url)
2.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 from datetime import datetime a=requests.get(‘http://news.gzcc.cn/html/jxky/‘) a.encoding=‘utf-8‘ soup=BeautifulSoup(a.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 xinwen in soup.select(‘li‘): if len(xinwen.select(‘.news-list-description‘))>0: time = xinwen.select(‘.news-list-info‘)[0].contents[0].text dt = datetime.strptime(time,‘%Y-%m-%d‘) title = xinwen.select(‘.news-list-description‘)[0].text source = xinwen.select(‘.news-list-description‘)[0].text url = xinwen.select(‘a‘)[0][‘href‘] detail = getdetail(url) print(time,title,source,url,detail) break
用requests库和BeautifulSoup4库爬取新闻列表
原文：http://www.cnblogs.com/ELsky/p/7608746.html