Simplified python article discovery & extraction.
Project description
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 ...'Keyword extraction with YAKE! (Yet Another keyword extractor) To learn more about YAKE! please check the official repository (https://github.com/LIAAD/yake). note: The lower the score, the more relevant the keyword is.
>>> url = 'http://www.cnn.com/2013/11/27/justice/tucson-arizona-captive-girls/'
>>> article = Article(url)
>>> article.download()
>>> article.parse()
YAKE! With default parameters
>>> article.yake()
[('police', 0.02171325705124914), ('sophia richter', 0.02178687039012946),
('police chief roberto', 0.022941575782713476),...]
YAKE! with custom parameters.
>>> article.yake(lan="en", n=3, dedupLim=0.9, dedupFunc='seqm', windowsSize=1, top=20, features=None)
[('police', 0.02171325705124914), ('sophia richter', 0.02178687039012946),
('police chief roberto', 0.022941575782713476),...]>>> 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Documentation
Check out The Documentation 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 ChineseGet 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
Consulting
This service is already used around the world by startups, top news organizations (CNN, NYT, etc), graduate school researchers, and, of course, hackers like you :) If you or your company are interested in more advanced features like: increased NLP and scraping accuracy, mis-information, fake news, author credibility, boosted coverage and accuracy for your use case, and etc; feel free to email & contact me for consulting.
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!
Release history Release notifications | RSS feed
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