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from unbiased.sources.base import NewsSource
class TheHill(NewsSource):
name = 'The Hill'
shortname = 'Hill'
url = 'http://thehill.com'
bad_titles = ['THE MEMO']
bad_authors = ['Matt Schlapp', 'Juan Williams', 'Judd Gregg']
@classmethod
def _fetch_urls(cls):
soup = cls._fetch_content(cls.url)
h1 = soup.find('h1', class_='top-story-headline')\
.find('a')['href']
h1s = (h1,)
h23s = soup.find('div', class_='section-top-content')\
.find_all('div', class_='top-story-item')
h2s = set([x.h4.a['href'] for x in h23s if 'small' not in x['class']])
h2s = tuple(h2s)
h3s = set([x.h4.a['href'] for x in h23s if 'small' in x['class']])
h3s = tuple(h3s)
return h1s, h2s, h3s
@classmethod
def _get_description(cls, soup):
try:
return NewsSource._get_description(soup)
except Exception:
# fall back on grabbing text from the article
desc = soup.find('div', class_='field-items')
return desc.text[:200].rsplit(' ', 1)[0]
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