News, full-text, and article metadata extraction in Python 3. Advanced docs:

Last update: Jan 01, 2023

Overview

Newspaper3k: Article scraping & curation

Inspired by requests for its simplicity and powered by lxml for its speed:

"Newspaper is an amazing python library for extracting & curating articles." -- tweeted by Kenneth Reitz, Author of requests

"Newspaper delivers Instapaper style article extraction." -- The Changelog

Newspaper is a Python3 library! Or, view our deprecated and buggy Python2 branch

A Glance:

>>> from newspaper import Article

>>> url = 'http://fox13now.com/2013/12/30/new-year-new-laws-obamacare-pot-guns-and-drones/'
>>> article = Article(url)

>>> article.download()

>>> article.html
'<!DOCTYPE HTML><html itemscope itemtype="http://...'

>>> article.parse()

>>> article.authors
['Leigh Ann Caldwell', 'John Honway']

>>> article.publish_date
datetime.datetime(2013, 12, 30, 0, 0)

>>> article.text
'Washington (CNN) -- Not everyone subscribes to a New Year's resolution...'

>>> article.top_image
'http://someCDN.com/blah/blah/blah/file.png'

>>> article.movies
['http://youtube.com/path/to/link.com', ...]

>>> article.nlp()

>>> article.keywords
['New Years', 'resolution', ...]

>>> article.summary
'The study shows that 93% of people ...'

>>> import newspaper

>>> cnn_paper = newspaper.build('http://cnn.com')

>>> for article in cnn_paper.articles:
>>>     print(article.url)
http://www.cnn.com/2013/11/27/justice/tucson-arizona-captive-girls/
http://www.cnn.com/2013/12/11/us/texas-teen-dwi-wreck/index.html
...

>>> for category in cnn_paper.category_urls():
>>>     print(category)

http://lifestyle.cnn.com
http://cnn.com/world
http://tech.cnn.com
...

>>> 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)

Newspaper can extract and detect languages seamlessly. If no language is specified, Newspaper will attempt to auto detect a language.

>>> from newspaper import Article
>>> url = 'http://www.bbc.co.uk/zhongwen/simp/chinese_news/2012/12/121210_hongkong_politics.shtml'

>>> a = Article(url, language='zh') # Chinese

>>> a.download()
>>> a.parse()

>>> print(a.text[:150])
香港行政长官梁振英在各方压力下就其大宅的违章建
筑（僭建）问题到立法会接受质询，并向香港民众道歉。
梁振英在星期二（12月10日）的答问大会开始之际
在其演说中道歉，但强调他在违章建筑问题上没有隐瞒的
意图和动机。 一些亲北京阵营议员欢迎梁振英道歉，
且认为应能获得香港民众接受，但这些议员也质问梁振英有

>>> print(a.title)
港特首梁振英就住宅违建事件道歉

If you are certain that an entire news source is in one language, go ahead and use the same api :)

>>> import newspaper
>>> sina_paper = newspaper.build('http://www.sina.com.cn/', language='zh')

>>> for category in sina_paper.category_urls():
>>>     print(category)
http://health.sina.com.cn
http://eladies.sina.com.cn
http://english.sina.com
...

>>> article = sina_paper.articles[0]
>>> article.download()
>>> article.parse()

>>> print(article.text)
新浪武汉汽车综合 随着汽车市场的日趋成熟，
传统的“集全家之力抱得爱车归”的全额购车模式已然过时，
另一种轻松的新兴 车模式――金融购车正逐步成为时下消费者购
买爱车最为时尚的消费理念，他们认为，这种新颖的购车
模式既能在短期内
...

>>> print(article.title)
两年双免0手续0利率 科鲁兹掀背金融轻松购_武汉车市_武汉汽
车网_新浪汽车_新浪网

Support our library

It takes only one click

Docs

Check out The Docs for full and detailed guides using newspaper.

Interested in adding a new language for us? Refer to: Docs - Adding new languages

Features

Multi-threaded article download framework
News url identification
Text extraction from html
Top image extraction from html
All image extraction from html
Keyword extraction from text
Summary extraction from text
Author extraction from text
Google trending terms extraction
Works in 10+ languages (English, Chinese, German, Arabic, ...)

>>> import newspaper
>>> newspaper.languages()

Your available languages are:
input code      full name

  ar              Arabic
  be              Belarusian
  bg              Bulgarian
  da              Danish
  de              German
  el              Greek
  en              English
  es              Spanish
  et              Estonian
  fa              Persian
  fi              Finnish
  fr              French
  he              Hebrew
  hi              Hindi
  hr              Croatian
  hu              Hungarian
  id              Indonesian
  it              Italian
  ja              Japanese
  ko              Korean
  lt              Lithuanian
  mk              Macedonian
  nb              Norwegian (Bokmål)
  nl              Dutch
  no              Norwegian
  pl              Polish
  pt              Portuguese
  ro              Romanian
  ru              Russian
  sl              Slovenian
  sr              Serbian
  sv              Swedish
  sw              Swahili
  th              Thai
  tr              Turkish
  uk              Ukrainian
  vi              Vietnamese
  zh              Chinese

Get it now

Run ✅ pip3 install newspaper3k ✅

NOT ⛔ pip3 install newspaper ⛔

On python3 you must install newspaper3k, not newspaper. newspaper is our python2 library. Although installing newspaper is simple with pip, you will run into fixable issues if you are trying to install on ubuntu.

If you are on Debian / Ubuntu, install using the following:

Install pip3 command needed to install newspaper3k package:
```
$ sudo apt-get install python3-pip
```
Python development version, needed for Python.h:
```
$ sudo apt-get install python-dev
```

lxml requirements:

$ sudo apt-get install libxml2-dev libxslt-dev

For PIL to recognize .jpg images:

$ sudo apt-get install libjpeg-dev zlib1g-dev libpng12-dev

NOTE: If you find problem installing libpng12-dev, try installing libpng-dev.

Download NLP related corpora:

$ curl https://raw.githubusercontent.com/codelucas/newspaper/master/download_corpora.py | python3

Install the distribution via pip:
```
$ pip3 install newspaper3k
```

If you are on OSX, install using the following, you may use both homebrew or macports:

$ brew install libxml2 libxslt

$ brew install libtiff libjpeg webp little-cms2

$ pip3 install newspaper3k

$ curl https://raw.githubusercontent.com/codelucas/newspaper/master/download_corpora.py | python3

Otherwise, install with the following:

NOTE: You will still most likely need to install the following libraries via your package manager

PIL: libjpeg-dev zlib1g-dev libpng12-dev
lxml: libxml2-dev libxslt-dev
Python Development version: python-dev

$ pip3 install newspaper3k

$ curl https://raw.githubusercontent.com/codelucas/newspaper/master/download_corpora.py | python3

Donations

Your donations are greatly appreciated! They will free me up to work on this project more, to take on things like: adding new features, bug-fix support, addressing concerns with the library.

My PayPal link: https://www.paypal.me/codelucas
My Venmo handle: @Lucas-Ou-Yang

Development

If you'd like to contribute and hack on the newspaper project, feel free to clone a development version of this repository locally:

git clone git://github.com/codelucas/newspaper.git

Once you have a copy of the source, you can embed it in your Python package, or install it into your site-packages easily:

$ pip3 install -r requirements.txt
$ python3 setup.py install

Feel free to give our testing suite a shot, everything is mocked!:

$ python3 tests/unit_tests.py

Planning on tweaking our full-text algorithm? Add the fulltext parameter:

$ python3 tests/unit_tests.py fulltext

Demo

View a working online demo here: http://newspaper-demo.herokuapp.com

This is another working online demo: http://newspaper.chinazt.cc/

LICENSE

Authored and maintained by Lucas Ou-Yang.

Parse.ly sponsored some work on newspaper, specifically focused on automatic extraction.

Newspaper uses a lot of python-goose's parsing code. View their license here.

Please feel free to email & contact me if you run into issues or just would like to talk about the future of this library and news extraction in general!

Comments

Use Temp Dir instead of Home Dir

Using home directories is bad practice for certain deployment strategies (Elastic Beanstalk, Heroku etc), and limits the OS-scope of the project. Rather use a Temp Directory, which is more secure and doesn't require extra permissions (for a server role eg. Elastic Beanstalk)
enhancement

opened by dvf 16
Article `download()` failed with 404 Client Error
Hi,

I keep getting this error message - Article download() failed with 404 Client Error: Not Found for url: http://www.foxnews.com/2017/09/22/sheriff-clarke-trump-wins-either-way-luther-strange-roy-moore-alabama-senate-race on URL http://www.foxnews.com/2017/09/22/sheriff-clarke-trump-wins-either-way-luther-strange-roy-moore-alabama-senate-race

It happens for various article url links.

Here is the code i am using, `news_content = newspaper.build(url) for eachArticle in news_content.articles: i = i +1 article = news_content.articles[i]

article.download()#now download and parse each articles article.parse() article.nlp() backupfile.write("\n"+ "--------------------------------------------------------------" + "\n") backupfile.write(str(article.keywords)) datasetfile.write("\n" + "----SUMMARY ARTICLE-> No. " + str(i) + "\n") datasetfile.write(article.summary) #only summary of the article is written in the dataset directory backupfile.write("\n"+"----SUMMARY ARTICLE---" + "\n") backupfile.write(article.summary) backupfile.write("\n"+"----TEXT INSIDE ARTICLE---" + "\n") backupfile.write(article.text) time.sleep(2)`

Attached below is the screenshot of the error,
bug
opened by harishaaram 14
You must `download()` an article before calling `parse()` on it!

i have a problem with parsing articles and i think its because i placed parse right after downloading the article. do you think there is a chance that the article is not yet done downloading when i started parsing it? any suggestions? thanks!
bug enhancement needs design decision

opened by homermalijan 14
Retain HTML markup for extracted article

I currently use Boilerpipe to do article extraction in order to generate Kindle MOBI files to send to my Kindle. I'm wondering if it's possible to feature-request the ability to do something similar in Newspaper: in that the article text extraction retains a minimal set of markup around it, enough to give the text structure as far as HTML is concerned. This makes forward conversion to other formats a lot easier, and allows the ability to retain certain markup that can only be expressed using HTML (such as images in situ and code fragments).

opened by WheresWardy 13
getting newspaper.article.ArticleException for the urls given from forbes website
I am getting this issue only for the urls given from forbes website. My code was : Input_url="https://www.forbes.com/sites/ajherrington/2021/04/23/steve-deangelo-has-a-vision-for-global-cannabis-legalization/" resp = requests.get(Input_url)
result=newspaper.fulltext(resp.text)
user_agent = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_11_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36'

config = Config() config.browser_user_agent = user_agent article = Article(Input_url, keep_article_html=True,config=config) article.download() article.parse() article.nlp()

The same code is working in my local system for any kinds of urls from any website,but the same code got deployed in docker container when given urls from forbes website I am facing issue like newspaper.article.ArticleException newspaper.article.ArticleException: Article download() failed with 403 Client Error: Max restarts limit reached for url: https://www.forbes.com/sites/ajherrington/2021/04/23/steve-deangelo-has-a-vision-for-global-cannabis-legalization/ on URL https://www.forbes.com/sites/ajherrington/2021/04/23/steve-deangelo-has-a-vision-for-global-cannabis-legalization/.

Can I know why this is happening ? Is there any change to be made in user-agent assignment? please give me a solution for my issue.
opened by Swarnitha-eluru 12

Is newspaper.build method deterministic?

Whenever I call newspaper.build, I often get different results in the number of articles. If I'm lucky, I get A TON of articles, but sometimes I get very few or none at all.

I have been trying this with cnn and I get very different results from one minute to the next and I am not sure what's wrong.

I tried this using newspaper as installed from pip and I also set up this repository's clone and downloaded all the prerequisites inside of virtualenv. Still same results.

I am not sure what else I can describe.

All tests are passing (5 are skipped though).

This is what I am experiencing.

>>> import newspaper
>>> p = newspaper.build('http://cnn.com')
>>> for article in p.articles:
...     print(article.url)
... 
http://cnn.com/2016/05/06/technology/panama-papers-search/index.html
>>> p = newspaper.build('http://cnn.com')
>>> for article in p.articles:
...     print(article.url)
... 
http://cnn.com/2016/05/06/opinions/sadiq-khan-london-mayor-ahmed/index.html
http://money.cnn.com/2016/05/06/news/economy/london-mayor-sadiq-khan/index.html
http://money.cnn.com/2016/05/06/news/economy/london-mayor-sadiq-khan/index.html?section=money_topstories
http://money.cnn.com/2016/05/05/news/verizon-strikes-temporary-relocation/index.html?section=money_topstories
http://cnn.com/2016/05/06/europe/uk-london-mayoral-race-sadiq-khan/index.html
>>>

5 minutes later...

>>> import newspaper
>>> p = newspaper.build('http://cnn.com')
>>> for article in p.articles:
...     print(article.url)
... 
http://cnn.com/videos/health/2016/05/06/teen-pageant-contestant-collapses-on-stage-pkg.kvly/video/playlists/cant-miss/
http://cnn.com/2016/05/06/news/economy/london-mayor-sadiq-khan/index.html
>>> p = newspaper.build('http://cnn.com')
>>> for article in p.articles:
...     print(article.url)
... 
>>> # nothing...

question

opened by ijkilchenko 12

Running on Fedora

We have a program in Python 3 using your package that runs well in Ubuntu, but when we try to run it in Fedora, it returns nothing. I followed the installation guide to the letter and the toolkit installed completely.

What do you suggest we do to solve this problem.

Thank you!

opened by simonedu 12
Update to support python3

This updates the code to work with python 3, issue #36. Similar to PR #38, but for the latest code.

The handling of utf-8 strings and bytes (decoding/encoding) is definitely not ideal. This could be cleaned up, but I'd need to study the library a bit more. Help here would be nice.

Three assertions in the tests don't pass (summary, keywords, authors), but the functionality is correct. These are because the results are random and so assertions will sometimes pass or fail. I don't know why they aren't deterministic, they always pass on master. Maybe due to an update on the dependencies. Not sure how you'd like to test or handle these.

Have a review, and let me know if there's anything else to update.

opened by paul-english 12
Redirect should follow meta refresh
If newspaper goes to a page like this:

https://www.google.com/url?rct=j&sa=t&url=http://sfbay.craigslist.org/eby/cto/5617800926.html&ct=ga&cd=CAAYATIaYTc4ZTgzYjAwOTAwY2M4Yjpjb206ZW46VVM&usg=AFQjCNF7zAl6JPuEsV4PbEzBomJTUpX4Lg

It receives HTML like this:

<script>window.googleJavaScriptRedirect=1</script><script>var n={navigateTo:function(b,a,d){if(b!=a&&b.google){if(b.google.r){b.google.r=0;b.location.href=d;a.location.replace("about:blank");}}else{a.location.replace(d);}}};n.navigateTo(window.parent,window,"http://sfbay.craigslist.org/eby/cto/5617800926.html"); </script><noscript><META http-equiv="refresh" content="0;URL='http://sfbay.craigslist.org/eby/cto/5617800926.html'"></noscript>

Which I got from a Google Alert feed:

https://www.google.com/alerts/feeds/02224275995138650773/15887173320590421756

Then it does not follow the meta refresh link inside the HTML.

The underlying Requests library can't see HTML so I think it makes sense for Newspaper to handle this situation with a new flag (follow_meta_refresh ?) that would default to False because of the performance implications.
enhancement needs design decision
opened by adamn 11
"No module named 'newspaper'" after installation?

Running on Mac OS X.

Installed newspaper3k without a hitch, however, iPython won't recognize newspaper as a module. Any solutions?

Specifically, the code it can't run is: from newspaper import Article

opened by Marthorax 9

.nlp() could not work

I have been following the example in the README and I encountered this:

>>> article = cnn_paper.articles[1]
>>> article.download()
>>> article.parse()
>>> article.nlp()
Traceback (most recent call last):
zipfile.BadZipfile: File is not a zip file

opened by afeezaziz 9

fix(sec): upgrade nltk to 3.6.6
What happened？

There are 1 security vulnerabilities found in nltk 3.2.1

MPS-2022-15003

What did I do？

Upgrade nltk from 3.2.1 to 3.6.6 for vulnerability fix

What did you expect to happen？

Ideally, no insecure libs should be used.

The specification of the pull request

PR Specification from OSCS
opened by chncaption 0
fix(sec): upgrade requests to 2.20
What happened？

There are 1 security vulnerabilities found in requests 2.10.0

CVE-2018-18074

What did I do？

Upgrade requests from 2.10.0 to 2.20 for vulnerability fix

What did you expect to happen？

Ideally, no insecure libs should be used.

The specification of the pull request

PR Specification from OSCS
opened by chncaption 0
Would not load custom feed articles

I was having difficulting getting articles from a site and noticed that It kept dumping my custom feed extensions. I found that the problem was It was memoizing the feed by default and this was getting rid of a lot of the urls. I simply turned memoization in the source.py off and it now can get all articles based on the feed pages I give it

opened by Coinjuice 0

Project dependencies may have API risk issues

Hi, In newspaper, inappropriate dependency versioning constraints can cause risks.

Below are the dependencies and version constraints that the project is using

beautifulsoup4>=4.4.1
cssselect>=0.9.2
feedfinder2>=0.0.4
feedparser>=5.2.1
jieba3k>=0.35.1
lxml>=3.6.0
nltk>=3.2.1
Pillow>=3.3.0
pythainlp>=1.7.2
python-dateutil>=2.5.3
PyYAML>=3.11
requests>=2.10.0
tinysegmenter==0.3
tldextract>=2.0.1

The version constraint == will introduce the risk of dependency conflicts because the scope of dependencies is too strict. The version constraint No Upper Bound and * will introduce the risk of the missing API Error because the latest version of the dependencies may remove some APIs.

After further analysis, in this project, The version constraint of dependency beautifulsoup4 can be changed to >=4.10.0,<=4.11.1. The version constraint of dependency feedparser can be changed to >=6.0.0b1,<=6.0.10. The version constraint of dependency nltk can be changed to >=3.2.2,<=3.7. The version constraint of dependency Pillow can be changed to ==9.2.0. The version constraint of dependency Pillow can be changed to >=2.0.0,<=9.1.1. The version constraint of dependency python-dateutil can be changed to >=2.5.0,<=2.6.1. The version constraint of dependency requests can be changed to >=0.7.0,<=2.24.0. The version constraint of dependency requests can be changed to ==2.26.0. The version constraint of dependency tinysegmenter can be changed to >=0.2,<=0.4.

The above modification suggestions can reduce the dependency conflicts as much as possible, and introduce the latest version as much as possible without calling Error in the projects.

The invocation of the current project includes all the following methods.

The calling methods from the beautifulsoup4

bs4.BeautifulSoup

The calling methods from the feedparser

feedparser.parse

The calling methods from the nltk

collections.OrderedDict.items
collections.OrderedDict
nltk.stem.isri.ISRIStemmer.stem
nltk.download
nltk.data.load
nltk.stem.isri.ISRIStemmer
nltk.tokenize.wordpunct_tokenize

The calling methods from the Pillow

PIL.ImageFile.Parser.feed
PIL.Image.open
PIL.ImageFile.Parser

The calling methods from the python-dateutil

dateutil.parser.parse

The calling methods from the requests

requests.utils.get_encodings_from_content
requests.get

The calling methods from the tinysegmenter

tinysegmenter.TinySegmenter.tokenize
tinysegmenter.TinySegmenter

The calling methods from the all methods

a.is_valid_url
math.fabs
os.path.exists
os.path.join
self.article.extractor.get_meta_data
nodes_with_text.append
self.download
self.parser.getAttribute.strip
summaries.sort
domain_to_filename
newspaper.urls.get_domain
Dispatch.join
self.set_meta_description
self.create
self.parser.getElementsByTag
codecs.open.read
pickle.load
re.sub
urllib.parse.urlparse.startswith
node.itertext
self.clean_body_classes
l.strip
newspaper.urls.valid_url
sorted
keywords
self.parser.stripTags
os.path.isabs
get_depth
raw_html.encode.encode
lxml.etree.strip_tags
p_url.endswith
parse_byline
self.config.get_parser.fromstring
img_tag.get.get_domain
images.Scraper.satisfies_requirements
self.assertFalse
self.get_urls
ExhaustiveFullTextCase.check_url
node.xpath
os.system
url_part.replace.replace
self.parser.previousSiblings
self.set_meta_site_name
bs4.BeautifulSoup.find
self.assertDictEqual
sys.path.insert
concurrent.futures.ProcessPoolExecutor
self.pool.wait_completion
a.is_valid_body
re.findall
set
score
self.is_boostable
conjunction.lower
logging.getLogger.warning
self.links_to_text
nodes.drop_tag
self.article.download
os.path.abspath
w.strip
path.split.split
join.strip
re.split
os.path.getmtime
self.StopWordsKorean.super.__init__
ParsingCandidate
keys.titleWords.sentences.score.most_common
self.set_summary
self.replace_walk_left_right
self.category_urls
tags.append
enumerate
dict.keys
self.get_img_urls
title_text_fb.filter_regex.sub.lower
key.split.split
requests.get.raise_for_status
urllib.parse.urlparse.endswith
self.remove_trailing_media_div
self._parse_scheme_file
w.endswith
self.extractor.extract_tags
nodes_to_remove.append
get_base_domain
self.language.self.stopwords_class.get_stopword_count
utils.StringSplitter
tinysegmenter.TinySegmenter.tokenize
float
self.candidate_words
self.assertCountEqual
self._parse_scheme_http
lxml.html.clean.Cleaner.clean_html
self.get_object_tag
self.extractor.get_authors
node.xpath.remove
x.lower
TimeoutError
self.extractor.get_meta_keywords.split
self.parser.getComments
lxml.etree.tostring
kwargs.str.args.str.encode
self.assertNotEqual
curname.append
urllib.parse.urlsplit
replacement_text.append
self.remove_punctuation
clean_url.startswith
bs4.BeautifulSoup
min
Dispatch
div.insert
child_tld.subdomain.split
img.crop.histogram
_get_html_from_response
node.set
self.parse
nlp.keywords
split.path.split
self.set_text
cur_articles.items
title_piece.strip
codecs.open.readlines
hashlib.md5
len
final_url.hashlib.md5.hexdigest
item.getparent
title.filter_regex.sub.lower
re.match
urls.get_path.startswith
cls.fromstring
f.readlines
summaries.append
split_words.split
nltk.stem.isri.ISRIStemmer
self.parser.childNodesWithText
join.splitlines
self.convert_to_html
self.get_top_node
self.set_meta_keywords
img.crop.crop
outputformatters.OutputFormatter
source.Source.build
raw_html.hashlib.md5.hexdigest
self.remove_negativescores_nodes
bool
self.clean_article_tags
self.parser.nodeToString
open
self.parser.getChildren
node.attrib.get
newspaper.Article
main
cleaners.DocumentCleaner.clean
self.extractor.get_meta_data
clean_url.encode
self.get_parse_candidate
self.get_embed_code
self._get_category_urls
agent.strip
network.multithread_request
range
txts.extend
item.lower
lxml.html.HtmlElement
map
self.get_flushed_buffer
url_to_crawl.replace
self.nlp
collections.defaultdict
cur_articles.keys
self.remove_nodes_regex
self.remove_empty_tags
self.set_top_img_no_check
img_tag.get.get_scheme
list.remove
self.set_article_html
node.clear
self.update_node_count
href.strip
MRequest
newspaper.build.size
random.randint
f.split.split.sort
utils.RawHelper.get_parsing_candidate
self.set_meta_img
self.extractor.get_category_urls
StringReplacement
i.strip
node.getchildren
article.Article.parse
nltk.download
self.set_canonical_link
nlp.load_stopwords
join
queue.Queue
outputformatters.OutputFormatter.update_language
io.StringIO.read
traceback.print_exc
newspaper.Source.clean_memo_cache
codecs.open.close
self.parser.css_select
x.strip.lower
urls.prepare_url
self.text.split
path.FileHelper.loadResourceFile.splitlines
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@developer Could please help me check this issue? May I pull a request to fix it? Thank you very much.

opened by PyDeps 3

fix itemprop containing articleBody

If itemprop is not exactly == "articleBody" the node was "cleaned"

for instance itemprop="description articleBody" would be cleaned. Blogspot / Blogger for instance uses this itemprop

opened by AndyTheFactory 0
elements in html article">

ContentExtractor.nodes_to_check doesn't recognize the "right"
elements in html article

Hello, I'm using newspaper3k package to parse the following article: https://spectrum.ieee.org/3d-printed-meat In debugged it until I reached the code section of ContentExtractor.nodes_to_check method and I saw that when it execute the following: items = self.parser.getElementsByTag(doc, tag=tag) when tag = 'p' I get 75 elements which do not include the article text, compared to when I'm using BeautifulSoup with soup.find_all('p') I get 76 elements with the right text.

can you please help me to understand the problem? Thank you.

opened by tomer2406 0

Releases(0.0.9)

0.0.9(Dec 17, 2014)

This codebase is what will be installed after running pip install newspaper on python 2.

Besides bugfixes, support for python 2 ends at this tag.
Source code(tar.gz)
Source code(zip)
0.0.8(Oct 13, 2014)

Source code(tar.gz)
Source code(zip)

News, full-text, and article metadata extraction in Python 3. Advanced docs:

Related tags

Overview

Newspaper3k: Article scraping & curation

A Glance:

Support our library

Docs

Features

Get it now

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Demo

LICENSE

Comments

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The specification of the pull request

What happened？

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The specification of the pull request

Releases(0.0.9)

0.0.9(Dec 17, 2014)

0.0.8(Oct 13, 2014)

Owner

Lucas Ou-Yang

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