用requests库和BeautifulSoup4库爬取新闻列表
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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
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用requests库和BeautifulSoup4库爬取新闻列表
用requests库和BeautifulSoup4库爬取新闻列表
用requests库和BeautifulSoup4库爬取新闻列表
用requests库和BeautifulSoup4库爬取新闻列表