Read HRT: Vesti on your iPad or Kindle in no time. Click download to load the free ebook on your reader.

Check out all the available public recipes or write your own with these quick start guides. ReadBeam is built on calibre, so everything in the docs and the fora applies here as well.

Download for free »

News from Croatia

Language: hr

Requires Subscription: No, it's available as free ebook

Schedule Every morning

			  #!/usr/bin/env  python

__license__   = 'GPL v3'
__copyright__ = '2009, Darko Miletic <darko.miletic at gmail.com>'

'''
www.hrt.hr
'''

import re
from calibre.web.feeds.news import BasicNewsRecipe
from calibre.ebooks.BeautifulSoup import Tag

class HRT(BasicNewsRecipe):
    title                 = 'HRT: Vesti'
    __author__            = 'Darko Miletic'
    description           = 'News from Croatia'
    publisher             = 'HRT'
    category              = 'news, politics, Croatia, HRT'
    no_stylesheets        = True
    encoding              = 'utf-8'
    use_embedded_content  = False
    language = 'hr'

    lang                  = 'hr-HR'
    extra_css = '''@font-face {font-family: "serif1";src:url(res:///opt/sony/ebook/FONT/tt0011m_.ttf)}
                    body{font-family: serif1, serif} .article_description{font-family: serif1, serif}
                   .news-single-timedata{color:#20558A; font-size:x-small;}
                   .nsTitle{color:#20558A; font-size:large; font-weight:bold;}
                   a{color:#20558A;}
                   .external-link-new-window{color:#20558A;}

                '''

    conversion_options = {
                          'comment'          : description
                        , 'tags'             : category
                        , 'publisher'        : publisher
                        , 'language'         : lang
                        , 'pretty_print'     : True
                        }


    preprocess_regexps = [(re.compile(u'\u0110'), lambda match: u'\u00D0')]


    keep_only_tags     = [dict(name='div', attrs={'class':'bigVijest'})]

    remove_tags = [dict(name=['object','link','embed'])]

    remove_tags_after  = dict(name='div', attrs={'class':'nsAuthor'})

    feeds = [
               (u'Vijesti'             , u'http://www.hrt.hr/?id=316&type=100&rss=vijesti'     )
              ,(u'Sport'               , u'http://www.hrt.hr/?id=316&type=100&rss=sport'       )
              ,(u'Zabava'              , u'http://www.hrt.hr/?id=316&type=100&rss=zabava'      )
              ,(u'Filmovi i serije'    , u'http://www.hrt.hr/?id=316&type=100&rss=filmovi'     )
              ,(u'Dokumentarni program', u'http://www.hrt.hr/?id=316&type=100&rss=dokumentarci')
              ,(u'Glazba'              , u'http://www.hrt.hr/?id=316&type=100&rss=glazba'      )
              ,(u'Kultura'             , u'http://www.hrt.hr/?id=316&type=100&rss=kultura'     )
              ,(u'Mladi'               , u'http://www.hrt.hr/?id=316&type=100&rss=mladi'       )
              ,(u'Manjine'             , u'http://www.hrt.hr/?id=316&type=100&rss=manjine'     )
              ,(u'Radio'               , u'http://www.hrt.hr/?id=316&type=100&rss=radio'       )
            ]

    def preprocess_html(self, soup):
        soup.html['xml:lang'] = self.lang
        soup.html['lang']     = self.lang
        mlang = Tag(soup,'meta',[("http-equiv","Content-Language"),("content",self.lang)])
        mcharset = Tag(soup,'meta',[("http-equiv","Content-Type"),("content","text/html; charset=UTF-8")])
        soup.head.insert(0,mlang)
        soup.head.insert(1,mcharset)
        for item in soup.findAll(style=True):
            del item['style']
        return self.adeify_images(soup)