def fetch_url(self, url):
"""
Return tuple of urls followed and the final page grabbed
"""
# Construct request
req = urllib2.Request(url, headers=utils.headers)
# Open request and follow redirects to final location of content
# get_response_chain returns a tuple: urls, page
urls, page = utils.get_response_chain(req)
urls.append((0,url))
page_content = page.read()
page_url = page.geturl()
# Check for meta refresh tag
# <meta http-equiv=refresh content="0; url=/13/10339/2013/acp-13-10339-2013.html">
if 'http-equiv' in page_content and 'refresh' in page_content:
tree = lxml.html.fromstring(page_content)
try:
redirect_url = tree.xpath('.//meta[@http-equiv="refresh"]/@content')[0]
except IndexError:
pass
else:
bits = redirect_url.split(';')
if len(bits) > 1:
url = bits[1].split('=')[1]
url = urlparse.urljoin(page_url, url)
# Recurse!
iter_urls, page_content, page_url = self.fetch_url(url)
urls = urls + iter_urls
return urls, page_content, page_url
def scrape(abstract_url):
req = urllib2.Request(abstract_url, headers=utils.headers)
urls, response = utils.get_response_chain(req)
if response.info().get('Content-Encoding') == 'gzip':
buf = StringIO( response.read())
f = gzip.GzipFile(fileobj=buf)
data = f.read()
else:
data = response.read()
page_text = data.decode('utf-8')
tree = lxml.html.fromstring(page_text)
article = make_blank_article()
article['scraper'] = 'npg'
article['source_urls'] = [uri for _, uri in urls]
article['title'] = get_meta('DC.title',tree)
if article['title'] == None:
article['title'] = get_meta('dc.title',tree)
article['publisher'] = get_meta('DC.publisher',tree)
if article['publisher'] == None:
article['publisher'] = get_meta('dc.publisher',tree)
article['author_names'] = get_meta_list('DC.creator',tree)
if article['author_names'] == None:
article['author_names'] = get_meta_list('dc.creator',tree)
article['abstract'] = get_meta('description', tree)
if not article['abstract']:
try:
article['abstract'] = tree.xpath("//div[@class='content']/p")[0].text_content()
except:
pass
if not article['abstract']:
try:
article['abstract'] = tree.xpath("//div[@id='abs']/p")[0].text_content()
except:
pass
article['citation']['journal'] = get_meta('citation_journal_title', tree)
article['citation']['volume'] = get_meta('prism.volume', tree)
article['citation']['page'] = get_meta('prism.startingPage', tree)
article['journal'] = get_meta('prism.publicationName', tree)
year = get_meta('citation_date', tree)
if year:
article['citation']['year'] = year[0:4]
article['ids'] = dict(zip(['doi'], [tree.xpath("//meta[@name='citation_doi']/@content")[0][4:]]))
pub_date = get_meta('DC.date', tree)
if pub_date == None:
pub_date = get_meta('dc.date', tree)
if pub_date:
split = pub_date.split('-')
article['date_published'] = make_datestamp(split[2], split[1], split[0])
#Specific abstract scrapers for subsidiary journals
if article['journal'] == 'The EMBO Journal':
try:
article['abstract'] = tree.xpath("//p[@class='lead']")[0].text_content()
except:
pass
elif article['journal'] == 'EMBO reports':
try:
article['abstract'] = tree.xpath("//p[@class='lead']")[0].text_content()
except:
pass
elif article['journal'] == 'Oncogene':
try:
article['abstract'] = tree.xpath("//p[@class='abs lead']")[0].text_content()
except:
pass
return article
