def crawlSingleURL(link, idx, total_links):
try:
opener = buildOpener()
start = time.time()
data = opener.open(link).read()
soup = BeautifulSoup(data)
meta_data_keywords = soup.findAll('meta', {'name': 'keywords'})
meta_data_descr = soup.findAll('meta', {'name': 'description'})
keywords = get_meta_content(meta_data_keywords)
descr = get_meta_content(meta_data_descr)
# Extract the title tag
titleTag = None
try:
titleTag = soup.html.head.title
titleTag = str(titleTag.string)
except:
titleTag = ""
end = time.time()
# Return the basic URL data structure
field = URLField(link, titleTag, descr, keywords)
field.populate()
if ((idx % LINK_SET_INDICATOR) == 0):
sys.stdout.write("[%s/%s] " % (idx, total_links))
# Exit crawl single URL with url field.
# @return URLField
return field
except socket.timeout:
print "ERR: timeout [%s/%s] " % (idx, total_links)
except urllib2.URLError:
print "ERR: timeout [%s/%s] " % (idx, total_links)
except Exception, e:
pass
def crawlSingleURL(link, idx, total_links):
try:
opener = buildOpener()
start = time.time()
data = opener.open(link).read()
soup = BeautifulSoup(data)
meta_data_keywords = soup.findAll('meta', {'name':'keywords'})
meta_data_descr = soup.findAll('meta', {'name':'description'})
keywords = get_meta_content(meta_data_keywords)
descr = get_meta_content(meta_data_descr)
# Extract the title tag
titleTag = None
try:
titleTag = soup.html.head.title
titleTag = str(titleTag.string)
except:
titleTag = ""
end = time.time()
# Return the basic URL data structure
field = URLField(link, titleTag, descr, keywords)
field.populate()
if ((idx % LINK_SET_INDICATOR) == 0):
sys.stdout.write("[%s/%s] " % (idx, total_links))
# Exit crawl single URL with url field.
# @return URLField
return field
except socket.timeout:
print "ERR: timeout [%s/%s] " % (idx, total_links)
except urllib2.URLError:
print "ERR: timeout [%s/%s] " % (idx, total_links)
except Exception, e:
pass
def connectLinkService(requrl):
""" First, connect to the botlist URL service and extract
the most recent list of links. This will seed the
botlist spider crawler."""
opener = buildOpener()
req = urllib2.Request(requrl)
req.add_header('user-agent', FF_USER_AGENT)
link_data = opener.open(req).read()
link_data = [ line.strip() for line in link_data.split('\n') ]
link_data = filter(lambda (line):
(len(line) > 0) and (len(line.split('::|')) == NO_COLS_SERVICE),
link_data)
content = [ col.split('::|') for col in link_data ]
return content
def connectLinkService(requrl):
""" First, connect to the botlist URL service and extract
the most recent list of links. This will seed the
botlist spider crawler."""
opener = buildOpener()
req = urllib2.Request(requrl)
req.add_header('user-agent', FF_USER_AGENT)
link_data = opener.open(req).read()
link_data = [line.strip() for line in link_data.split('\n')]
link_data = filter(
lambda (line):
(len(line) > 0) and (len(line.split('::|')) == NO_COLS_SERVICE),
link_data)
content = [col.split('::|') for col in link_data]
return content
def crawlSingleURLForContent(link, idx, total_links):
""" Crawl this URL but only extract the content for content
analysis. A more extensive model than crawlSingleURL"""
try:
opener = buildOpener()
start = time.time()
data = opener.open(link).read()
istats = build_page_info(link, data)
data = clean_content(data)
soup = BeautifulSoup(data)
meta_data_keywords = soup.findAll('meta', {'name': 'keywords'})
meta_data_descr = soup.findAll('meta', {'name': 'description'})
keywords = get_meta_content(meta_data_keywords)
descr = get_meta_content(meta_data_descr)
# Extract the title tag
titleTag = None
try:
titleTag = soup.html.head.title
titleTag = str(titleTag.string)
except:
titleTag = ""
# Ignore content we aren't concerned with
partial_content = doc_ignore_content(soup)
end = time.time()
# Return the basic URL data structure
field = URLField(link, titleTag, descr, keywords)
field.descr = field.tokenizeTags(field.descr)
field.keywords = field.tokenizeTags(field.keywords)
field.full_content = data
field.extract_content = partial_content
field.info_stats = istats
field.populate()
if ((idx % LINK_SET_INDICATOR) == 0):
sys.stdout.write("[%s/%s] " % (idx, total_links))
# Exit crawl single URL with url field.
# @return URLField
return field
except urllib2.URLError:
print "ERR: timeout [%s/%s] " % (idx, total_links)
except Exception, e:
# NOTE: if pass allowed, compile errors will be ignored.
print "ERR<crawlSingleURLForContent>: %s" % e
pass
def crawlSingleURLForContent(link, idx, total_links):
""" Crawl this URL but only extract the content for content
analysis. A more extensive model than crawlSingleURL"""
try:
opener = buildOpener()
start = time.time()
data = opener.open(link).read()
istats = build_page_info(link, data)
data = clean_content(data)
soup = BeautifulSoup(data)
meta_data_keywords = soup.findAll('meta', {'name':'keywords'})
meta_data_descr = soup.findAll('meta', {'name':'description'})
keywords = get_meta_content(meta_data_keywords)
descr = get_meta_content(meta_data_descr)
# Extract the title tag
titleTag = None
try:
titleTag = soup.html.head.title
titleTag = str(titleTag.string)
except:
titleTag = ""
# Ignore content we aren't concerned with
partial_content = doc_ignore_content(soup)
end = time.time()
# Return the basic URL data structure
field = URLField(link, titleTag, descr, keywords)
field.descr = field.tokenizeTags(field.descr)
field.keywords = field.tokenizeTags(field.keywords)
field.full_content = data
field.extract_content = partial_content
field.info_stats = istats
field.populate()
if ((idx % LINK_SET_INDICATOR) == 0):
sys.stdout.write("[%s/%s] " % (idx, total_links))
# Exit crawl single URL with url field.
# @return URLField
return field
except urllib2.URLError:
print "ERR: timeout [%s/%s] " % (idx, total_links)
except Exception, e:
# NOTE: if pass allowed, compile errors will be ignored.
print "ERR<crawlSingleURLForContent>: %s" % e
pass
def crawlBuildLinks(link_list):
opener = buildOpener()
""" Iterate through the list of links and collect links found
on each page through the use of the beautiful soup lib."""
total_links = 0
total_links_tag = 0
sub_links = None
for link in link_list:
try:
data = opener.open(link).read()
soup = BeautifulSoup(data)
sub_links_tag = soup.findAll('a')
total_links_tag = total_links_tag + len(sub_links_tag)
sub_links = [processSubLink(el) for el in sub_links_tag if validateSubLink(el)]
# Filter out duplicates with set
sub_links = set(sub_links)
total_links = total_links + len(sub_links)
except Exception, e:
print "ERR <crawlBuildLinks>: %s" % e
print " <crawlBuildLinks>: url=[%s]" % link
def crawlBuildLinks(link_list):
opener = buildOpener()
""" Iterate through the list of links and collect links found
on each page through the use of the beautiful soup lib."""
total_links = 0
total_links_tag = 0
sub_links = None
for link in link_list:
try:
data = opener.open(link).read()
soup = BeautifulSoup(data)
sub_links_tag = soup.findAll('a')
total_links_tag = total_links_tag + len(sub_links_tag)
sub_links = [
processSubLink(el) for el in sub_links_tag
if validateSubLink(el)
]
# Filter out duplicates with set
sub_links = set(sub_links)
total_links = total_links + len(sub_links)
except Exception, e:
print "ERR <crawlBuildLinks>: %s" % e
print " <crawlBuildLinks>: url=[%s]" % link