skip to navigation
skip to content

Not Logged In

newspaper 0.0.3

Simplified python article discovery & extraction.

Latest Version: 0.0.6

https://badge.fury.io/py/newspaper.png https://pypip.in/d/newspaper/badge.png

Inspired by requests for its simplicity and powered by lxml for its speed; newspaper is a Python 2 library for extracting & curating articles from the web.

Newspaper wants to change the way people handle article extraction with a new, more precise layer of abstraction. Visit our homepage at: Newspaper Docs.

Newspaper utilizes lxml and caching for speed. Also, everything is in unicode

>>> import newspaper

>>> cnn_paper = newspaper.build('http://cnn.com') # ~15 seconds

>>> for article in cnn_paper.articles: # filters urls
>>>     print article.url

u'http://www.cnn.com/2013/11/27/justice/tucson-arizona-captive-girls/'
u'http://www.cnn.com/2013/12/11/us/texas-teen-dwi-wreck/index.html'
u'http://www.cnn.com/2013/12/07/us/life-pearl-harbor/'
...

>>> print cnn_paper.size() # number of articles
3100

>>> print cnn_paper.category_urls()
[u'http://lifestyle.cnn.com', u'http://cnn.com/world', u'http://tech.cnn.com' ...]

>>> print cnn_paper.feed_urls()
[u'http://rss.cnn.com/rss/cnn_crime.rss', u'http://rss.cnn.com/rss/cnn_tech.rss', ...]

The first step is to download() an article.

>>> first_article = cnn_paper.articles[0]

>>> first_article.download()

>>> print first_article.html # html fetched from download()
u'<!DOCTYPE HTML><html itemscope itemtype="http://...'

# we have not downloaded this article yet, it will fail
>>> print cnn_paper.articles[7].html
u''

We may also extract meaningful content from the html, like authors, body-text.. You must called download() on the article before calling parse().

>>> first_article.parse()

>>> print first_article.text
u'Three sisters who were imprisoned for possibly...'

>>> print first_article.top_img
u'http://some.cdn.com/3424hfd4565sdfgdg436/

>>> print first_article.authors
[u'Eliott C. McLaughlin', u'Some CoAuthor']

>>> print first_article.title
u'Police: 3 sisters imprisoned in Tucson home'

Finally, you may extract out natural language properties from the text. You must have called both download() and parse() the article before calling nlp().

>>> first_article.nlp() # must be on an already parse()'ed article

>>> print first_article.summary
u'...imprisoned for possibly a constant barrage...'

>>> print first_article.keywords
[u'music', u'Tucson', ... ]

>>> print cnn_paper.articles[100].nlp() # fail, not been downloaded yet
Traceback (...
   ...
ArticleException: You must parse an article before you try to..

Some other news-source level functionality

>>> print cnn_paper.brand
u'cnn'

>>> print cnn_paper.description
u'CNN.com delivers the latest breaking news and information on the latest...'

>>> newspaper.hot()[:5] # top google trending terms
['Ned Vizzini', Brian Boitano', Crossword Inventor', 'Alex and Sierra', 'Claire Davis']

>>> newspaper.popular_urls()
['http://slate.com', 'http://cnn.com', 'http://huffingtonpost.com', ...]

^ Just a few friendly suggestions if you forget the popular news sites!

IMPORTANT

Unless told not to in the constructor via the is_memo_articles param (default true), newspaper automatically caches all category, feed, and article urls. This is both to avoid duplicate articles and for speed.

Suppose the above code has already been run on the cnn domain once. Previous
article urls are cached and dupes are removed so we only get new articles.

>>> import newspaper

>>> cnn_paper = newspaper.build('http://cnn.com')
>>> cnn_paper.size()
60    # since we last ran build(), cnn published 60 new articles!

>>> # If you'd like to opt out of memoization, init newspapers with

>>> cnn_paper2 = newspaper.build('http://cnn.com', is_memo=False)
>>> cnn_paper2.size()
3100

Alternatively, you may use newspaper's lower level Article api.

>>> from newspaper import Article

>>> article = Article('http://cnn.com/2013/11/27/travel/weather-thanksgiving/index.html')
>>> article.download()

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

>>> article.parse()

>>> print article.text
u'The purpose of this article is to introduce...'

>>> print article.authors
[u'Martha Stewart', u'Bob Smith']

>>> print article.top_img
u'http://some.cdn.com/3424hfd4565sdfgdg436/

>>> print article.title
u'Thanksgiving Weather Guide Travel ...'

>>> article.nlp()

>>> print article.summary
u'...and so that's how a Thanksgiving meal is cooked...'

>>> print article.keywords
[u'Thanksgiving', u'holliday', u'Walmart', ...]

nlp() is expensive, as is parse(), make sure you actually need them before calling them on all of your articles! In some cases, if you just need urls, even download() is not necessary.

Newspaper stands on the giant shoulders of lxml, nltk, and requests. Newspaper also uses much of goose's code internally.

Features

  • News url identification
  • Text extraction from html
  • Keyword extraction from text
  • Summary extraction from text
  • Author extraction from text
  • Top Image & All image extraction from html
  • Top Google trending terms
  • News article extraction from news domain
  • Quick html downloads via multithreading

Get it now

$ pip install newspaper

### IMPORTANT ###
# If you KNOW for sure you will use the natural language features, nlp(), you must
# download some seperate nltk corpora below, it may take a while!

$ curl https://raw.github.com/codelucas/newspaper/master/download_corpora.py | python2.7

Examples TODO

See more examples at the Quickstart guide.

Documentation

Full documentation is available at Newspaper Docs.

Requirements

  • Python >= 2.6 and <= 2.7*

License

MIT licensed. Also, view the LICENSE for our internally used libraries at: goose-license

 
File Type Py Version Uploaded on Size
newspaper-0.0.3.macosx-10.8-intel.exe (md5) MS Windows installer any 2013-12-22 8MB
newspaper-0.0.3.tar.gz (md5) Source 2013-12-22 10MB
  • Downloads (All Versions):
  • 36 downloads in the last day
  • 252 downloads in the last week
  • 1102 downloads in the last month
  • Author: Lucas Ou-Yang
  • Home Page: https://github.com/codelucas/newspaper/
  • License:
    The MIT License (MIT)
    
    Copyright (c) 2013 Lucas Ou-Yang
    
    Permission is hereby granted, free of charge, to any person obtaining a copy of
    this software and associated documentation files (the "Software"), to deal in
    the Software without restriction, including without limitation the rights to
    use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
    the Software, and to permit persons to whom the Software is furnished to do so,
    subject to the following conditions:
    
    The above copyright notice and this permission notice shall be included in all
    copies or substantial portions of the Software.
    
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
    FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
    COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
    IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
    CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  • Package Index Owner: codelucas
  • DOAP record: newspaper-0.0.3.xml