def extract_content(url):
content = {}
content = get_static_content()
try:
ua = UserAgent()
config = Config()
config.browser_user_agent = ua.chrome
config.language = 'es'
article = Article(url, config= config)
article.download()
article.parse()
text = article.text
content['text'] = text
top_image = article.top_image
content['image'] = top_image
movielinks = []
for movie in article.movies:
movielinks.append(movie)
content['videos'] = movielinks
except Exception as e:
print_exc(e)
return content
def write_article(self):
if(self.message['data']==1L):
return
collection = self.db['articles']
data = json.loads(self.message['data'])
articles = data['articles']
payloads = []
count = 0;
for article_url in articles:
article = Article(article_url)
article.build()
payload = {}
payload['meta_keywords'] = article.meta_keywords
payload['title'] = article.title
payload['url'] = article.url
payload['text'] = article.text
payload['html'] = article.html
payload['keywords'] = article.keywords
payload['_id'] = str(hashlib.sha1(article.title).hexdigest())
payload['crawled_at'] = str(int(time.time()))
payloads.append(payload)
count+=1
if(count%100==0):
collection.insert_many(payloads)
payloads = []
if payloads:
collection.insert_many(payloads)
def parse_article(self, response):
# utilize newspaper for article parsing
article = Article(url=response.url, config=self.config)
article.set_html(response.body)
article.parse()
item = Art()
item['title'] = article.title
item['url'] = article.url
item['text'] = '\n'.join(nlp.split_sentences(article.text.replace('\n', ' ')))
yield item
def parse_article(self, response):
# utilize newspaper for article parsing
article = Article(url=response.url, config=self.config)
article.set_html(response.body)
article.parse()
item = Art()
item["title"] = article.title
item["url"] = article.url
item["text"] = "\n".join(nlp.split_sentences(article.text.replace("\n", " ")))
yield item
def get_summary(self, title, text):
article = Article(url='')
article.title = title
article.text = text
article.download_state = ArticleDownloadState.SUCCESS
article.is_parsed = True
article.nlp()
return self.preprocess_text(article.summary)
def parse_article(self, response):
if len(response.body) > 0:
# utilize newspaper for article parsing
article = Article(url=response.url, config=self.config)
article.set_html(response.body)
article.parse()
#self.sentences.append(nlp.split_sentences(article.text))
item = Art()
item['title'] = article.title
item['url'] = article.url
item['text'] = '\n'.join(nlp.split_sentences(article.text.replace('\n', ' ')))
yield item
else:
print response.url + ' DEAD LINK'
def read_article(url):
article = Article(url)
article.download()
article.parse()
article.nlp()
print(article.text)
# print 'SUMMARY'
print(article.summary)
def parse(self, response):
#print type(response)
article = None
try:
article = NewsPlease.from_html(response.body.encode("utf-8"))
except:
article = NewsPlease.from_html(
response.body.decode('latin-1').encode("utf-8"))
print "EXCEPTION OCCURED"
print article.date_publish
#print article.text
article2 = Article(url="", language="es")
article2.set_html(response.body)
article2.parse()
print response.url
self.db.articles_es.insert({
"title": article.title,
"pub_date": article.date_publish,
"url": response.url,
"content": article2.text,
"raw_html": response.body
})
links = self.linkExtractor.extract_links(response)
for link in links:
yield scrapy.Request(link.url, callback=self.parse)
def get_article(url):
article = Article(url, language='pt')
# Simples parsing de url e usando o requests para
# fazer download do html como texto, fazer um simples
# cleance desse html e retornar o texto completo
# para depois gerar um Parser com esse texto
article.download()
# Analysing
article.parse()
return article
def crawl_today():
""" 每天定时爬取, 5小时一次即可，每个类别爬取一页 """
now = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
print('\n', domain, now, "BEGIN")
while True:
try:
conn = connect(host=host, user='******', password='******', port=3306, db='chinaaseanocean')
except OperationalError as e:
print(e)
time.sleep(3)
else:
break
for class_1 in categories:
params['tag'] = class_1
params['pgno'] = str(1)
page_url = base_url + urlencode(params)
failure = 0
while failure < 3:
try:
doc = pq(page_url, headers=headers, verify=False)
except Exception as e:
failure += 1
print('\r获取新闻链接失败，原因：', e, end='', flush=True)
else:
break
else:
continue
ul = doc('ul.timeline > li')
for li in ul.items():
url = li.find('h2 a').attr('href')
article = Article(url)
try:
article.download()
article.parse()
except ArticleException as e:
# print(e)
continue
content = article.text
if content:
title = article.title
date = article.publish_date
class_2 = li.find('div.timeline-content > a').text()
# print(title)
cursor = conn.cursor()
sql = 'REPLACE INTO `asean_news` VALUES (%s)' % (','.join(['%s'] * 8))
cursor.execute(sql, ('Malaysia', domain, class_1, class_2, title, date, content, url))
conn.commit()
cursor.close()
conn.close()
now = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
print('\n', domain, now, "DONE")
def parseArticle(articles: ResultSet, host: str, src_ele: str,
summary_ele: str, date_ele: str, url_ele: str):
global parse_done
global config_en
global articles_count
articles_count += len(articles)
for a in articles:
src = a.find(src_ele)
summary = a.find(summary_ele)
date = a.find(date_ele)
if src is None:
src = host
else:
src = src.text
if summary is None:
summary = a.find('description') # fallback
if summary is not None:
summary = summary.text
url = a.find(url_ele)
if url is not None:
url = url.text.strip()
else:
url = ''
if url != '':
article = Article(url, config=config_en)
if date is not None:
try:
date = parse(date.text)
except:
date = None
try:
article.download()
article.parse()
except Exception as ex:
log(f'{ex}, url is "{url}"')
finally:
if article.publish_date is datetime and date is None:
date = article.publish_date.strftime('%Y-%m-%d %H:%M:%S')
insert_db((src, date, article.title, summary, article.text,
article.url))
parse_done += 1
def crawl_archive():
"""
爬取过去一周的所有新闻
"""
conn = connect(host=host, user='******', password='******', port=3306, db='chinaaseanocean')
for c in categories:
for i in range(1, MAX_PAGE + 1):
params['tag'] = c
params['pgno'] = str(i)
page_url = base_url + urlencode(params)
try:
doc = pq(page_url, headers=headers, verify=False)
except requests.exceptions.ConnectionError as e:
print(e)
doc = pq(page_url, headers=headers, verify=False)
ul = doc('ul.timeline > li')
for li in ul.items():
url = li.find('h2 a').attr('href')
article = Article(url)
try:
article.download()
article.parse()
except ArticleException as e:
print(e)
continue
title = article.title
date = article.publish_date
content = article.text
class_2 = li.find('div.timeline-content > a').text()
if content:
print(title)
cursor = conn.cursor()
sql = 'REPLACE INTO `asean_news` VALUES (%s)' % (','.join(['%s'] * 9))
cursor.execute(sql, ('Malaysia', domain, c, class_2, None, title, date, content, url))
conn.commit()
cursor.close()
conn.close()
db_connect.init_database_cont()
''' we process homepage'''
for home_page in washington_post_home_pages:
print("extracting: " + home_page)
washington_page = requests.get(home_page)
html_tree = html.fromstring(washington_page.text)
article_urls = html_tree.xpath('//a/@href')
for home_url in article_urls:
if home_url is not None and len(home_url) > 16:
if ('http://' not in home_url and 'https://' not in home_url):
home_url = WASHINGTON_POST + home_url
try:
article_home = Article(home_url, keep_article_html=True)
extract_washington_post_article(article_home, True, washington_post_home_pages.get(home_page))
except Exception as e:
print('Smt wrong when process homepage' + home_page + 'article: {}'.format(e) + home_url)
db_connect.close_database_cont()
except Exception as e:
print('Something went wrong with database: {}'.format(e))
def download_and_parse(article: Article):
try:
article.download()
article.parse()
except newspaper.article.ArticleException:
pass
def fetch_story(request):
if request.method == 'GET':
# List to store all the parsed RSS entries.
story_list = []
# Get Source Object from 'item_id' passed through Request
source_id = request.GET.get('item_id')
if source_id is None:
# If none, Return to sources list
return HttpResponseRedirect('/sources_list/')
# Get sourcing object
try:
rss_obj = Sourcing.objects.get(id=source_id)
except Sourcing.DoesNotExist:
messages.info(request,
'Source Does Not Exist, Please try another one.')
return HttpResponseRedirect('/sources_list/')
# Parse the RSS URL and get the data
feed_data = feedparser.parse(rss_obj.rss_url)
# Detects if the Url is not well formed RSS
if feed_data.bozo == 1:
url_error = {
'Possible Wrong URL. Click here to go back to Sources page.'
}
return render_to_response('fetch_story.html', {
'url_error': url_error,
'user': request.user
})
else:
for data in feed_data.get('entries'):
story_url = data.get('link')
# If RSS is Empty return Story listing page
if story_url is None:
rss_error = {
'Either RSS is empty or RSS is broken. Click here to go back to Story Listing page'
}
return render_to_response('fetch_story.html', {
'rss_error': rss_error,
'user': request.user
})
# Use newspaper library to download the article
article = Article(story_url)
try:
article.download()
except ArticleException:
logger.debug("Article Download exception in : %s" %
story_url)
# Try to Parse Article
try:
article.parse()
except ArticleException:
logger.debug("Exception in article parse")
article_instance = article
# if Datetime is none, assign current datetime
if article_instance.publish_date is None:
if data.get('published') is None:
article_instance.publish_date = datetime.now(
).strftime('%Y-%m-%d %H:%M:%S')
else:
article_instance.publish_date = datetime.strptime(
data.get('published'),
'%a, %d %b %Y %H:%M:%S GMT').strftime(
'%Y-%m-%d %H:%M:%S')
# article_instance.publish_date = datetime.now().strftime('%a, %e %b %Y %H:%M:%S')
elif not isinstance(article_instance.publish_date, datetime):
article_instance.publish_date = datetime.now().strftime(
'%Y-%m-%d %H:%M:%S')
# article_instance.publish_date = datetime.now().strftime('%a, %e %b %Y %H:%M:%S')
# if Body is empty, assign dummy Text
if article_instance.text is '':
article_instance.text = "This is a Dummy text as some error occurred while fetching body of this story. \
Click the Story title to visit the Story page."
try:
# Check if story exist
Stories.objects.select_related('source').get(url=story_url)
except Stories.DoesNotExist:
story = Stories(title=article_instance.title,
source=rss_obj,
pub_date=article_instance.publish_date,
body_text=article_instance.text,
url=article_instance.url)
story.save()
# Add each downloaded article details to Story_list and pass to HTML template.
story_list += [article_instance]
return render_to_response('fetch_story.html', {
'data': story_list,
'rss_id': rss_obj,
'user': request.user
})
else:
return HttpResponseRedirect('/sources_list/')
def handle(self, *args, **options):
source_obj = Sourcing.objects.all()
stories_list = list(Stories.objects.values_list('url', flat=True))
# To store time and data iterated count
not_rss_url = 0
fetched_story_count = 0
existing_story_count = len(stories_list)
download_exception = 0
parsing_exception = 0
broken_rss_list = 0
print("""\n\n
------------------------Started fetching Url's:------------------------
\n
""")
start_time = datetime.now()
sources = tqdm(source_obj)
for list_item in sources:
# Sources Progress bar
sources.set_description('Source Completed ')
# Parse data from Rss Url
feed_data = feedparser.parse(list_item.rss_url)
# Detects if the Url is not well formed RSS
if feed_data.bozo == 1:
logger.debug("Not a RSS url : %s" % list_item.rss_url)
not_rss_url += 1
else:
# Stories progess bar using tqdm
story_entries = tqdm(feed_data.get('entries'))
"""
# This will iterate through each story url
# If story url is already in list fetched from DB
# It will not fetch for those URL.
# Else: It will download the story and save to Stories DB
"""
for data in story_entries:
# Stories Progress bar Title
story_entries.set_description('Stories Completed ')
# Get story Url from story_entries list
story_url = data.get('link')
# If RSS is Empty return to Story listing page
if story_url is None:
logger.debug("No feed data in RSS URL: %s" % list_item.rss_url)
broken_rss_list += 1
else:
# If story does not exist, It'll download and save it in database
if story_url in stories_list:
stories_list.remove(story_url)
else:
# Use Newspaper Library's
article = Article(story_url)
# Use newspaper library to download the article
try:
article.download()
except ArticleException:
logger.debug("Article Download exception in : %s" % story_url)
download_exception += 1
# Parse Article
try:
article.parse()
except ArticleException:
logger.debug("Article parse exception in : %s" % story_url)
parsing_exception += 1
article_instance = article
# if Datetime is none or not a Datetime, assign current datetime
if article_instance.publish_date is None:
if data.get('published') is None:
article_instance.publish_date = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
else:
article_instance.publish_date = datetime.strptime(
data.get('published'), '%a, %d %b %Y %H:%M:%S GMT'
).strftime('%Y-%m-%d %H:%M:%S')
elif not isinstance(article_instance.publish_date, datetime):
article_instance.publish_date = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
# if Body is empty, assign dummy Text
if article_instance.text is '':
article_instance.text = "This is a Dummy text as some error occurred while fetching body of this story. \
Click the Story title to visit the Story page."
# Save story.
story = Stories(
title=article_instance.title,
source=list_item,
pub_date=article_instance.publish_date,
body_text=article_instance.text,
url=article_instance.url
)
story.save()
fetched_story_count += 1
stop_time = datetime.now()
execution_time = stop_time - start_time
final_count = len(Stories.objects.values_list('url', flat=True))
print("""
------------------------Finished fetching Url's:------------------------
Final Result:
No of Existing Stories : {0}
No of New Stories Fetched : {1}
No of wrong Rss Url's : {2}
No of Broken or Empty Rss Url's : {3}
No of Stories not Downloaded : {4}
No of Stories not Parsed : {5}
-------------------------------------------------
Total Stories : {6}
-------------------------------------------------
Process Execution time : {7}
------------------------------------------------------------------------
""".format(existing_story_count, fetched_story_count,
not_rss_url, broken_rss_list, download_exception,
parsing_exception, final_count, execution_time))
''' Created on Feb 28, 2015 @author: hoavu ''' from newspaper.article import Article url = 'http://www.huffingtonpost.com/2015/02/27/jennifer-lawrence-david-o-russell_n_6772866.html' article = Article(url) article.download() article.parse() #print(article.html) print(article.text)
import re
from newspaper.article import Article
import newspaper
# url = 'http://fox13now.com/2013/12/30/new-year-new-laws-obamacare-pot-guns-and-drones/'
#
# article = Article(url)
#
# article.parse()
# article.authors
# article.text
# cnn_paper = newspaper.build('http://cnn.com')
url = 'http://news.163.com/17/0312/10/CFAP3Q9G000189FH.html'
a = Article(url, language='zh') # Chinese
a.download()
a.parse()
print(a.keywords)
print("===============")
print(a.title)
print("===============")
print(a.authors)
print("===============")
print(a.text[:150])
# filter_regex = re.compile(r'[^a-zA-Z0-9\ ]')
# title_text_h1 = "我与总书记议国是：建设社会稳定长治久安新AA边疆,总书记 社会稳定 全国人大代表00000ddd"
# filter_title_text_h1 = filter_regex.sub('', title_text_h1).lower()
@author: hoavu
'''
import requests
import urllib.parse
import nltk
from newspaper.article import Article
from crawlerApp.utils import get_cosine, text_to_vector, normalize_text
'''get stop words first '''
with open ("stopwords_en.txt", "r") as myfile:
stopwords=myfile.read().replace('\n', '')
normalized_url = 'http://www.nytimes.com/2015/05/25/science/john-nash-a-beautiful-mind-subject-and-nobel-winner-dies-at-86.html'
article1 = Article(normalized_url)
article1.download()
""" 0.62 is good threshold"""
normalized_url2 = 'http://abcnews.go.com/US/john-nash-beautiful-mind-mathematician-wife-killed-jersey/story?id=31268512'
article2 = Article(normalized_url2)
article2.download()
print("download finished")
article1.parse()
string1 = article1.text
article2.parse()
string2 = article2.text
def getArticleTitleText(url):
article = Article(url)
article.download()
article.html
article.parse()
return [article.title, article.text.encode('utf-8')]
# try:
# article_home = Article(home_url)
# extract_vnexpress_article(article_home, True, 'expressing')
# except Exception as e:
# print('Smt wrong when process homepage expressing article: {}'.format(e) + home_url)
''' we process homepage'''
VNEXPRESS_HOMPAGE = 'http://vnexpress.net/'
vnexpress_homepage = requests.get(VNEXPRESS_HOMPAGE)
html_tree = html.fromstring(vnexpress_homepage.text)
article_urls = html_tree.xpath('//a/@href')
for home_url in article_urls:
if home_url is not None and len(home_url) > 16:
if ('http://' not in home_url and 'https://' not in home_url):
home_url = VNEXPRESS_HOME + home_url
try:
article_home = Article(home_url)
extract_vnexpress_article(article_home, True)
except Exception as e:
print(
'Smt wrong when process homepage article: {}'.format(e) +
home_url)
db_connect.close_database_cont()
except Exception as e:
print('Something went wrong with database: {}'.format(e))
'''
=======================================================================================================================================
=======================================================================================================================================
================================================= VNEpress stop ======================================================================
=======================================================================================================================================
=======================================================================================================================================
from typing import List
from newspaper.article import Article
from kindle_news_assistant.agent import Agent
@pytest.fixture
def agent():
return Agent()
@pytest.mark.parametrize(
"articles,expected_len",
[
(
[
Article("https://cnn.com/0/16/article-title.html",
"https://cnn.com"),
Article(
"https://cnn.com/0/16/article-title.html?query=yes",
"https://cnn.com",
),
Article("https://cnn.com/1/16/different-title.html",
"https://cnn.com"),
],
2,
),
],
)
def test_filter_duplicates(agent: Agent, articles: List[Article],
expected_len: int):
filtered = agent.filter_duplicates(articles)
assert len(filtered) == expected_len
def crawl_today():
"""
用于每日更新
"""
now = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
print('\n', domain, now, "BEGIN", flush=True)
while True:
try:
conn = connect(host=host,
user='******',
password='******',
port=3306,
db='chinaaseanocean')
except OperationalError as e:
print(e)
time.sleep(3)
else:
break
for key in class_.keys():
class_1 = class_[key]
# print(class_1)
page = 1
while page < 3:
page_url = base_url + key + '&max_page=' + str(page)
# print(page_url)
failure = 0
while failure < 3:
try:
doc = pq(page_url, headers=headers, verify=False)
except Exception as e:
failure += 1
print(e)
else:
break
else:
continue
a_list = doc('div.w3-justify a')
for a in a_list.items():
news_url = 'http://www.bernama.com/en/' + a.attr('href')
article = Article(news_url)
try:
article.download()
article.parse()
except ArticleException as e:
print(e)
continue
content = pattern.sub('', article.text).replace('\n', '')
if content:
url = article.url
title = article.title
try:
date = '-'.join(
pattern.findall(article.html)[0].split('/')[::-1])
except:
date = ''
# print(title, date, content, sep='\n')
cursor = conn.cursor()
sql = 'REPLACE INTO `asean_news` VALUES (%s)' % (','.join(
['%s'] * 8))
cursor.execute(sql, ('Malaysia', domain, class_1, None,
title, date, content, url))
conn.commit()
cursor.close()
if len(a_list) < 7:
break
page = page + 1
conn.close()
now = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
print('\n', domain, now, "DONE")
''' Created on Feb 28, 2015 @author: hoavu ''' from newspaper.article import Article url = 'http://www.huffingtonpost.com/2015/02/27/jennifer-lawrence-david-o-russell_n_6772866.html' article = Article(url) article.download() article.parse() #print(article.html) print(article.text)
@author: hoavu
'''
import requests
import urllib.parse
import nltk
from newspaper.article import Article
from crawlerApp.utils import get_cosine, text_to_vector, normalize_text
'''get stop words first '''
with open("stopwords_en.txt", "r") as myfile:
stopwords = myfile.read().replace('\n', '')
normalized_url = 'http://www.nytimes.com/2015/05/25/science/john-nash-a-beautiful-mind-subject-and-nobel-winner-dies-at-86.html'
article1 = Article(normalized_url)
article1.download()
""" 0.62 is good threshold"""
normalized_url2 = 'http://abcnews.go.com/US/john-nash-beautiful-mind-mathematician-wife-killed-jersey/story?id=31268512'
article2 = Article(normalized_url2)
article2.download()
print("download finished")
article1.parse()
string1 = article1.text
article2.parse()
string2 = article2.text
normalised_string1 = normalize_text(string1)