用requests库和BeautifulSoup4库爬取新闻列表9-28
- 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
- 将其中的时间str转换成datetime类型。
import requests
from bs4 import BeautifulSoup
from datetime import datetimegzccurl = '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
- 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
- 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://www.lbldy.com/tag/gqdy/' 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('h4'): print(news)