Read Auto 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 »

Auto and Formula 1

Language: it

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

Schedule Every morning

			  #!/usr/bin/env  python
__license__     = 'GPL v3'
__author__      = 'GabrieleMarini, based on Darko Miletic'
__copyright__   = '2009, Darko Miletic <darko.miletic at gmail.com>, Gabriele Marini'
__version__     = 'v1.02 Marini Gabriele '
__date__        = '14062010'
__description__ = 'Italian daily newspaper'

'''
http://www.corrieredellosport.it/
'''
from calibre.web.feeds.news import BasicNewsRecipe

class Auto(BasicNewsRecipe):
    __author__     = 'Gabriele Marini'
    description    = 'Auto and Formula 1'

    cover_url      = 'http://www.auto.it/res/imgs/logo_Auto.png'


    title          = u'Auto'
    publisher      = 'CONTE Editore'
    category       = 'Sport'

    language       = 'it'
    timefmt        = '[%a, %d %b, %Y]'

    oldest_article = 60
    max_articles_per_feed = 30
    use_embedded_content  = False
    recursion             = 10

    remove_javascript = True
    no_stylesheets = True

    html2lrf_options = [
                          '--comment', description
                        , '--category', category
                        , '--publisher', publisher
                        , '--ignore-tables'
                        ]

    html2epub_options = 'publisher="' + publisher + '"\ncomments="' + description + '"\ntags="' + category + '"\nlinearize_tables=True'

    keep_only_tags = [
                      dict(name='h2', attrs={'class':['tit_Article y_Txt']}),
                      dict(name='h2', attrs={'class':['tit_Article']}),
                      dict(name='div', attrs={'class':['box_Img newsdet_new ']}),
                      dict(name='div', attrs={'class':['box_Img newsdet_as ']}),
                      dict(name='table', attrs={'class':['table_A']}),
                      dict(name='div', attrs={'class':['txt_Article txtBox_cms']}),
                      dict(name='testoscheda')]


    feeds = [
             (u'Tutte le News'   ,  u'http://www.auto.it/rss/articoli.xml'  ),
             (u'Prove su Strada' ,  u'http://www.auto.it/rss/prove+6.xml'),
             (u'Novit\xe0'       ,    u'http://www.auto.it/rss/novita+3.xml')
            ]