标签：.text [1] break http rom from print 网络数 logs
1、用requests库和BeautifulSoup4库，爬取校园新闻列表的时间、标题、链接、来源、详细内容
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 #标题 url = news.select(‘a‘)[0][‘href‘] #路径 time = news.select(‘.news-list-info‘)[0].contents[0].text #时间 source = news.select(‘.news-list-info‘)[0].contents[1].text #来源 #正文 resd = requests.get(url) resd.encoding=‘utf-8‘ soupd = BeautifulSoup(resd.text,‘html.parser‘) detail = soupd.select(‘.show-content‘)[0].text print(time,title,url,source) print(detail) break
2、将其中的时间str转换成datetime类型
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‘) for news in soup.select(‘li‘): if len(news.select(‘.news-list-title‘))>0: title = news.select(‘.news-list-title‘)[0].text #标题 url = news.select(‘a‘)[0][‘href‘] #路径 time = news.select(‘.news-list-info‘)[0].contents[0].text #时间 dt = datetime.strptime(time,‘%Y-%m-%d‘) source = news.select(‘.news-list-info‘)[0].contents[1].text #来源 #正文 resd = requests.get(url) resd.encoding=‘utf-8‘ soupd = BeautifulSoup(resd.text,‘html.parser‘) detail = soupd.select(‘.show-content‘)[0].text print(dt,title,url,source) print(detail) break
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 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 #标题 url = news.select(‘a‘)[0][‘href‘] #路径 time = news.select(‘.news-list-info‘)[0].contents[0].text #时间 dt = datetime.strptime(time,‘%Y-%m-%d‘) source = news.select(‘.news-list-info‘)[0].contents[1].text #来源 #正文 detail = getdetail(url) print(dt,title,url,source) print(detail) break
4、选一个自己感兴趣的主题，做类似的操作，为后面“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 gzccurl = ‘http://news.gzcc.cn/html/meitishijie/‘ 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 #标题 url = news.select(‘a‘)[0][‘href‘] #路径 time = news.select(‘.news-list-info‘)[0].contents[0].text #时间 dt = datetime.strptime(time,‘%Y-%m-%d‘) #正文 detail = getdetail(url) print(dt,title,url,detail) break
用requests库和BeautifulSoup4库爬取新闻列表
标签：.text [1] break http rom from print 网络数 logs
原文地址：http://www.cnblogs.com/qq2796576/p/7608764.html
