def parse_reuters(self):
try:
self.newsdata = self.session.get(
self.url).json()["wireitems"][0]["templates"][0]["story"]
self.article = newspaper.fulltext(self.newsdata["body"],
language=self.language)
except Exception as e:
print(e)
return []
try:
self.caption = self.newsdata["images"][0]["caption"]
self.picture = self.newsdata["images"][0]["url"] + "&w=200.0"
self.resize = False
except:
pass
try:
location = self.newsdata["dateline"]
if " (Reuters)" in location:
self.location = location.split(" (Reuters)")[0].split("/")[0]
elif "［" in self.article and "］" in self.article:
self.location = self.article.split("［")[1].split("］")[0].split(
"日 ロイター")[0][:-1]
if self.location == "":
self.location = None
except:
pass
def search(self, topic, max=1, c=100):
"""
Takes the input topic and collects next 100 news articles based on max
paramter. Collects article text and author.
"""
# Searches for headlines and gets article data
json = self.api.get_everything(q=topic,
language='en',
sort_by='relevancy',
page=max,
page_size=c)
articles = json['articles']
news = list()
for article in articles:
# Takes the URL of the article and downloads the full content
a = Article(article['url'])
a.download()
# If download failed, continue to next article
try:
# Takes the whole article's text and adds it to output
text = fulltext(a.html)
current = dict()
current['text'] = text
current['author'] = article['author']
news.append(current)
except Exception as e:
pass
return news, max + 1
def getarticle(readfile):
''' get the article and save it in a different file '''
try:
fileopen = open(readfile)
except IOError:
print "file " + readfile + " not in the location specified"
return
i = 1
for line in fileopen:
try:
ua = generate_user_agent()
head = ua.encode('ascii', 'ignore')
headers = {'useragent': head}
print "reading article :"
print line
html = requests.get(line, headers=headers).text
tex = fulltext(html)
writefile = "201604" + str(j) + "_" + str(i) + ".txt"
with io.open(writefile, encoding='utf-8', mode='w+') as ns:
strng = ' '.join(tex.split())
ns.write(strng)
ns.close()
i = i + 1
except:
pass
def alt_extract_info(tab, driver, url):
cookies = driver.get_cookies()
s = requests.Session()
for cookie in cookies:
s.cookies.set(cookie['name'], cookie['value'])
article = s.get(url)
text = fulltext(article.text)
def clean_article(content):
"""Converts html text into article text"""
result = ''
try:
result = fulltext(content)
finally: # Catch-all to ensure all broken html is discarded
return result
def parse_reuters(self):
try:
self.newsdata = self.session.get(
self.url).json()["wireitems"][0]["templates"][0]["story"]
except Exception as e:
print(e)
return []
try:
self.article = newspaper.fulltext(self.newsdata["body"],
language=self.language)
self.caption = self.newsdata["images"][0]["caption"]
self.picture = self.newsdata["images"][0]["url"] + "&w=200.0"
self.resize = False
except Exception as e:
print(e)
try:
location = self.newsdata["dateline"]
if location != "(Reuters)":
self.location = location.split(" (Reuters)")[0].split("/")[0]
elif "\uff3b" in self.location and "\u3000" in self.location:
self.location = self.article.split("\uff3b")[1].split(
"\u3000")[0]
print(self.location)
except Exception as e:
print(e)
def normalize_text(html):
try:
url_re = re.compile("https{0,1}://[^\s]+")
url2_re = re.compile("[a-z0-9\.]+\.[a-z0-9\.]+/[^\s]*")
space_re = re.compile("[\s]{2,}")
html = html.encode("ascii", errors="ignore")
text = newspaper.fulltext(html)
sent = text.encode('ascii', errors='ignore')
sent = str(sent).replace("r\\", "")
sent = str(sent).replace("n\\", "")
sent = str(sent).replace("\\", "")
text = sent
t, d = MosesTokenizer(), MosesDetokenizer()
tokens = t.tokenize(text)
detokens = d.detokenize(tokens)
text = " ".join(detokens)
# Removing URLs
text = url_re.sub(" ", text)
text = url2_re.sub(" ", text)
# Removing multiple spacing characters
text = space_re.sub(" ", text)
text = text.encode("ascii", errors="ignore").decode()
text = preProcess(text)
# Stripping leading and trailing spaces
text = text.strip()
return text
except Exception as e:
return ""
def run_newspaper(htmlstring):
'''try with the newspaper module'''
try:
text = fulltext(htmlstring) # sanitize(fulltext(htmlstring))
except AttributeError:
return ''
return text
def getarticle(readfile):
''' get the article and save it in a different file '''
try:
fileopen = open(readfile)
except IOError:
print "file " + readfile + " not in the location specified"
return
i = 1
for line in fileopen:
try:
ua = generate_user_agent()
head = ua.encode('ascii', 'ignore')
headers = {'useragent':head}
print "reading article :"
print line
html = requests.get(line, headers = headers).text
tex = fulltext(html)
writefile = "201604"+str(j)+"_"+str(i)+".txt"
with io.open(writefile, encoding='utf-8', mode='w+') as ns:
strng = ' '.join(tex.split())
ns.write(strng)
ns.close()
i = i + 1
except:
pass
def fetch_bookmarks(urls):
obj = Scrape_Filter()
bookmark_data = dict()
start_scrapy(urls)
for url in fetched:
req = fetched[url]
soup = BeautifulSoup(req, 'html5lib')
obj.check_lang(soup)
try:
text = fulltext(req)
except:
article = Article(url)
article.download()
article.parse()
text = article.text
title = obj.get_title(soup)
desc_keywords = obj.get_keywords_and_description(soup)
content = obj.filter_text(text)
bookmark_data[url] = dict()
bookmark_data[url]["title"] = title
bookmark_data[url]["desc"] = desc_keywords
bookmark_data[url]["content"] = content
return bookmark_data
def test_parse_html(self):
self.setup_stage('parse')
AUTHORS = [
'Chien-Ming Wang', 'Dana A. Ford', 'James S.A. Corey',
'Tom Watkins'
]
TITLE = 'After storm, forecasters see smooth sailing for Thanksgiving'
LEN_IMGS = 46
META_LANG = 'en'
META_SITE_NAME = 'CNN'
self.article.parse()
self.article.nlp()
text = mock_resource_with('cnn', 'txt')
self.assertEqual(text, self.article.text)
self.assertEqual(text, fulltext(self.article.html))
# NOTE: top_img extraction requires an internet connection
# unlike the rest of this test file
TOP_IMG = ('http://i2.cdn.turner.com/cnn/dam/assets/131129200805-'
'01-weather-1128-story-top.jpg')
self.assertEqual(TOP_IMG, self.article.top_img)
self.assertCountEqual(AUTHORS, self.article.authors)
self.assertEqual(TITLE, self.article.title)
self.assertEqual(LEN_IMGS, len(self.article.imgs))
self.assertEqual(META_LANG, self.article.meta_lang)
self.assertEqual(META_SITE_NAME, self.article.meta_site_name)
self.assertEqual('2013-11-27 00:00:00', str(self.article.publish_date))
def test_parse_html(self):
self.setup_stage('parse')
AUTHORS = ['Chien-Ming Wang', 'Dana A. Ford', 'James S.A. Corey',
'Tom Watkins']
TITLE = 'After storm, forecasters see smooth sailing for Thanksgiving'
LEN_IMGS = 46
META_LANG = 'en'
self.article.parse()
self.article.nlp()
text = mock_resource_with('cnn', 'txt')
self.assertEqual(text, self.article.text)
self.assertEqual(text, fulltext(self.article.html))
# NOTE: top_img extraction requires an internet connection
# unlike the rest of this test file
TOP_IMG = ('http://i2.cdn.turner.com/cnn/dam/assets/131129200805-'
'01-weather-1128-story-top.jpg')
self.assertEqual(TOP_IMG, self.article.top_img)
self.assertCountEqual(AUTHORS, self.article.authors)
self.assertEqual(TITLE, self.article.title)
self.assertEqual(LEN_IMGS, len(self.article.imgs))
self.assertEqual(META_LANG, self.article.meta_lang)
self.assertEqual('2013-11-27 00:00:00', str(self.article.publish_date))
def extract(html, language='ru'):
try:
text = fulltext(html=html, language=language)
except:
text = ''
return text
def summarize(url):
from newspaper import fulltext
import requests
text = fulltext(requests.get(url).text)
model = Summarizer()
result = model(text, ratio=0.1)
full = ''.join(result)
return full
def test_method(url):
article = get_article(url)
req = requests.get(url).text
tst = req.parse()
parser = MyHTMLParser()
tst = parser.feed(req)
text = fulltext(req)
def attempt2():
header = {
"Accept-Encoding": "gzip",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"
}
html = requests.get(url, headers=header).text
text = fulltext(html)
print(text)
def remove_image(link):
try:
time.sleep(5)
article_soup = get_html(link)
article_soup.find('figure').decompose()
return fulltext(str(article_soup.currentTag))
except Exception as e:
pass
def get_text(url):
from newspaper import fulltext
import requests
url = str(url)
text = fulltext(requests.get(url).text)
return text
def test_japanese_fulltext_extract2(self):
url = 'http://www.afpbb.com/articles/-/3178894'
article = Article(url=url, language='ja')
html = mock_resource_with('japanese_article2', 'html')
article.download(html)
article.parse()
text = mock_resource_with('japanese2', 'txt')
self.assertEqual(text, article.text)
self.assertEqual(text, fulltext(article.html, 'ja'))
async def get_url(url, returned_format=None):
if returned_format == 'html':
print(
'[!] HTML support is being refactored. Currently data is being returned plaintext'
)
r = requests.get(url)
b = newspaper.fulltext(r.text)
return str(b).replace('\n', '<br>') if b else None
def test_latvian_fulltext_extract(self):
url = 'https://www.lsm.lv/raksts/zinas/arzemes/norvegija-pec-zemes-nogruvuma-pieci-bojagajusie.a387519/'
article = Article(url=url, language='lv')
html = mock_resource_with('latvian_article', 'html')
article.download(html)
article.parse()
text = mock_resource_with('latvian', 'txt')
self.assertEqual(text, article.text)
self.assertEqual(text, fulltext(article.html, 'lv'))
def test_thai_fulltext_extract(self):
url = 'https://prachatai.com/journal/2019/01/80642'
article = Article(url=url, language='th')
html = mock_resource_with('thai_article', 'html')
article.download(html)
article.parse()
text = mock_resource_with('thai', 'txt')
self.assertEqual(text, article.text)
self.assertEqual(text, fulltext(article.html, 'th'))
def test_japanese_fulltext_extract(self):
url = 'https://www.nikkei.com/article/DGXMZO31897660Y8A610C1000000/?n_cid=DSTPCS001'
article = Article(url=url, language='ja')
html = mock_resource_with('japanese_article', 'html')
article.download(html)
article.parse()
text = mock_resource_with('japanese', 'txt')
self.assertEqual(text, article.text)
self.assertEqual(text, fulltext(article.html, 'ja'))
def test_thai_fulltext_extract(self):
url = 'https://prachatai.com/journal/2019/01/80642'
article = Article(url=url, language='th')
html = mock_resource_with('thai_article', 'html')
article.download(html)
article.parse()
text = mock_resource_with('thai', 'txt')
self.assertEqual(text, article.text)
self.assertEqual(text, fulltext(article.html, 'th'))
def test_chinese_fulltext_extract(self):
url = 'http://news.sohu.com/20050601/n225789219.shtml'
article = Article(url=url, language='zh')
html = mock_resource_with('chinese_article', 'html')
article.download(html)
article.parse()
text = mock_resource_with('chinese', 'txt')
assert article.text == text
assert fulltext(article.html, 'zh') == text
def test_chinese_fulltext_extract(self):
url = 'http://news.sohu.com/20050601/n225789219.shtml'
article = Article(url=url, language='zh')
html = mock_resource_with('chinese_article', 'html')
article.download(html)
article.parse()
text = mock_resource_with('chinese', 'txt')
self.assertEqual(text, article.text)
self.assertEqual(text, fulltext(article.html, 'zh'))
def get_html():
news_url = request.args.get("url")
try:
if (news_url and len(news_url)):
html = requests.get(news_url).text
return render_template('news-summary.html',
news_html=fulltext(html))
except Exception as e:
return render_template('news-summary.html', news_html=e)
def test_japanese_fulltext_extract2(self):
url = 'http://www.afpbb.com/articles/-/3178894'
article = Article(url=url, language='ja')
html = mock_resource_with('japanese_article2', 'html')
article.download(html)
article.parse()
text = mock_resource_with('japanese2', 'txt')
self.assertEqual(text, article.text)
self.assertEqual(text, fulltext(article.html, 'ja'))
def newspaper_extractor(self,html):
try:
content = fulltext(html)
if content and content != "":
return content
else:
return self.readability_extractor(html)
except:
return self.readability_extractor(html)
async def get_url(self, url, returned_format=None):
if returned_format == 'html':
logging.info(
'[!] HTML support is being refactored. Currently data is being returned plaintext'
)
r = self.get_response_from_url(url)
# Use the response text to get contents for this url
b = newspaper.fulltext(r.text)
return str(b).replace('\n', '<br>') if b else None
def test_japanese_fulltext_extract(self):
url = 'https://www.nikkei.com/article/DGXMZO31897660Y8A610C1000000/?n_cid=DSTPCS001'
article = Article(url=url, language='ja')
html = mock_resource_with('japanese_article', 'html')
article.download(html)
article.parse()
text = mock_resource_with('japanese', 'txt')
self.assertEqual(text, article.text)
self.assertEqual(text, fulltext(article.html, 'ja'))
def analysis_news_content(self, html, obj, newspaper=True):
if newspaper:
text = fulltext(html).split('\n')
txt = list(filter(lambda x: x.strip() != '', text))
content = '<p>'.join(txt)
return content
else:
content_list= obj.xpath('//div[@class="section-content"]//text()')[7:]
content = '<p>'.join([i.replace("\n", '').strip() for i in content_list]).replace("<p><p>", '<p>')
return content
def test_spanish_fulltext_extract(self):
url = 'http://ultimahora.es/mallorca/noticia/noticias/local/fiscal' \
'ia-anticorrupcion-estudia-recurre-imputacion-infanta.html'
article = Article(url=url, language='es')
html = mock_resource_with('spanish_article', 'html')
article.download(html)
article.parse()
text = mock_resource_with('spanish', 'txt')
self.assertEqual(text, article.text)
self.assertEqual(text, fulltext(article.html, 'es'))
def test_spanish_fulltext_extract(self):
url = 'http://ultimahora.es/mallorca/noticia/noticias/local/fiscal'\
'ia-anticorrupcion-estudia-recurre-imputacion-infanta.html'
article = Article(url=url, language='es')
html = mock_resource_with('spanish_article', 'html')
article.download(html)
article.parse()
text = mock_resource_with('spanish', 'txt')
assert article.text == text
assert fulltext(article.html, 'es') == text
def test_arabic_fulltext_extract(self):
url = 'http://arabic.cnn.com/2013/middle_east/8/3/syria.clashes/'\
'index.html'
article = Article(url=url)
html = mock_resource_with('arabic_article', 'html')
article.download(html)
article.parse()
assert article.meta_lang == 'ar'
text = mock_resource_with('arabic', 'txt')
assert article.text == text
assert fulltext(article.html, 'ar') == text
def analysis_news_content(self, html, html_obj, newspaper=False):
if newspaper:
text = fulltext(html).split('\n')
txt = list(filter(lambda x: x.strip() != '', text))
content = '<p>'.join(txt)
else:
content_list = html_obj.xpath('//div[@id="content"]//p//text()')
content = '<p>'.join([
i.replace("\n", '').strip() for i in content_list
]).replace("<p><p>", '<p>')
return content
def test_arabic_fulltext_extract(self):
url = 'http://arabic.cnn.com/2013/middle_east/8/3/syria.clashes/' \
'index.html'
article = Article(url=url)
html = mock_resource_with('arabic_article', 'html')
article.download(html)
article.parse()
self.assertEqual('ar', article.meta_lang)
text = mock_resource_with('arabic', 'txt')
self.assertEqual(text, article.text)
self.assertEqual(text, fulltext(article.html, 'ar'))
def googleparser(topic, depth):
'''
topic - тема новостного запроса
depth - число опрашиваемых страниц поисковой выдачи
Возвращает два списка: с текстами новостей и с проблемными ссылками
'''
# 1. формирование массива ссылок
gnews_links = []
gnews = []
googlenews.search(topic)
start_time = time.time()
print('--- Формируется массив ссылок... ---')
for i in range(1, depth):
googlenews.clear()
googlenews.getpage(i)
for j in range(0, len(googlenews.gettext())):
gnews.append(googlenews.gettext()[j])
gnews_links.append(googlenews.getlinks()[j])
print("--- На формирование массива затрачено %s секунд ---" %
(time.time() - start_time))
print('--- Завершено. Получено %s ссылок ---' % len(gnews_links))
# 2. выгрузка новостей и формирование массива текстов
body = []
count = 0
error_link = [] #массив с битыми ссылками
#замеряем время
start_time = time.time()
print('--- Выгружаются новости... ---')
for url in gnews_links:
try:
html = requests.get(url).text
text = fulltext(html)
body.append(text)
except:
error_link.append(
gnews_links[count]
) #иногда попадаются проблемные ссылки. Здесь мы будем сохранять их
pass
count += 1
print("--- Завершено. На выгрузку затрачено %s секунд ---" %
(time.time() - start_time))
return body, error_link
def test_japanese_fulltext_extract(self):
try:
url = 'http://www.cnn.co.jp/tech/35087106.html'
article = Article(url=url, language='ja')
html = mock_resource_with('japanese_article', 'html')
article.download(html)
article.parse()
text = mock_resource_with('japanese', 'txt')
self.assertEqual(text, article.text)
self.assertEqual(text, fulltext(article.html, 'ja'))
except Exception as e:
print('ERR', str(e))
def test_parse_html(self):
AUTHORS = ['Chien-Ming Wang', 'Dana A. Ford', 'James S.A. Corey', 'Tom Watkins']
TITLE = 'After storm, forecasters see smooth sailing for Thanksgiving'
LEN_IMGS = 46
META_LANG = 'en'
self.article.parse()
self.article.nlp()
text = mock_resource_with('cnn', 'txt')
assert self.article.text == text
assert fulltext(self.article.html) == text
# NOTE: top_img extraction requires an internet connection
# unlike the rest of this test file
TOP_IMG = ('http://i2.cdn.turner.com/cnn/dam/assets/131129200805-'
'01-weather-1128-story-top.jpg')
assert self.article.top_img == TOP_IMG
assert sorted(self.article.authors) == AUTHORS
assert self.article.title == TITLE
assert len(self.article.imgs) == LEN_IMGS
assert self.article.meta_lang == META_LANG
assert str(self.article.publish_date) == '2013-11-27 00:00:00'
article.summary
## THINGS WE NEED
# source
# url
# title
# date
# summary
# keywords
import newspaper
from newspaper import Article
cnn_paper = newspaper.build(u'http://cnn.com')
for article in cnn_paper.articles:
print(article.url)
for category in cnn_paper.category_urls():
print(category)
cnn_article = cnn_paper.articles[0]
cnn_article.download()
cnn_article.parse()
cnn_article.nlp()
from newspaper import fulltext
html = requests.get(...).text
text = fulltext(html)
text = None
if not os.path.exists(target_hthml_file):
article = Article(url)
article.download()
print(f"url: {article.url}")
print(f"source_url: {article.source_url}")
print(f"message: {article.download_exception_msg}")
if article.download_exception_msg is None:
html = article.html
write_text_to_file(target_hthml_file, html)
article.parse()
print(f"authors: {article.authors}")
print(f"publish_date: {article.publish_date}")
print(f"text: {article.text}")
article.nlp()
print(f"key words: {article.keywords}")
print(f"summary: {article.summary}")
text = article.text
else:
article = Article(url)
html_text = read_text_from_file(target_hthml_file)
text = fulltext(html_text,'en')
if text is not None:
# print(f"text: {text}")
# removing stop words and punctuation
all_article_words = nltk.word_tokenize(text)
article_tokens = [w for w in all_article_words if not w in stop_words]
print(f"loaded: {len(article_tokens)} actual from {len(all_article_words)} total words")
# TODO stemming
def get_newspaper_text(html):
return fulltext(html)
bootstrap_servers=['172.16.129.43:9092'])
producer = KafkaProducer(bootstrap_servers=['172.16.129.43:9092'])
# 测试
print "start newspaper parser!"
for message in consumer:
if message is not None:
print "xxx"
try:
jsonValue = json.loads(message.value)
html = jsonValue["html"]
contentWithOutTag = fulltext(html, language="zh")
for useParser in ["lxml"]:
# 将无标签正文带回html解析
parseHtml = extractHtml(html, contentWithOutTag, useParser)
parseTitle = parseHtml.title()
parsePublishDate = parseHtml.publishDate()
parseContent = parseHtml.mainContent()
if len(parseContent[0]) == 0:
parseContent[0] = contentWithOutTag
if len(parsePublishDate) == 0 or parsePublishDate == " " or parsePublishDate == None:
# 解析不到发布时间 则将发布时间设置为爬虫时间
parsePublishDate = time.asctime(time.localtime(time.time()))
print "\n-----------------------------------------------------------------------------\n"
print "url:\t", jsonValue["url"]
print "标题:\t", parseTitle