网络刮痧形成新闻数据库

Question

我正在为不同的新闻媒体创建一个网络刮板.我试图为The Hindu报纸创建一个.

我想从其档案中提到的各种链接中获取新闻.让我们说我想在第二天提到的链接上获取新闻:http://www.thehindu.com/archive/web/2010/06/19/那是2010年6月19日.

现在我写了以下几行代码:

import mechanize
from bs4 import BeautifulSoup

url = "http://www.thehindu.com/archive/web/2010/06/19/"

br =  mechanize.Browser()
htmltext = br.open(url).read()

articletext = ""
soup = BeautifulSoup(htmltext)
for tag in soup.findAll('li', attrs={"data-section":"Business"}):
    articletext += tag.contents[0]
print articletext

但我无法得到所需的结果.我基本上卡住了.有人可以帮我解决一下吗？

Answer 1

请尝试以下代码:

import mechanize
from bs4 import BeautifulSoup

url = "http://www.thehindu.com/archive/web/2010/06/19/"

br =  mechanize.Browser()
htmltext = br.open(url).read()

articletext = ""
for tag_li in soup.findAll('li', attrs={"data-section":"Op-Ed"}):
    for link in tag_li.findAll('a'):
        urlnew = urlnew = link.get('href')
        brnew =  mechanize.Browser()
        htmltextnew = brnew.open(urlnew).read()            
        articletext = ""
        soupnew = BeautifulSoup(htmltextnew)
        for tag in soupnew.findAll('p'):
            articletext += tag.text
        print re.sub('\s+', ' ', articletext, flags=re.M)

driver.close()

因为re您可能需要导入re模块.