Newspaper3k: Article scraping & curation
.. image:: https://badge.fury.io/py/newspaper3k.svg
:target: http://badge.fury.io/py/newspaper3k.svg
:alt: Latest version
.. image:: https://travis-ci.org/codelucas/newspaper.svg
:target: http://travis-ci.org/codelucas/newspaper/
:alt: Build status
.. image:: https://coveralls.io/repos/github/codelucas/newspaper/badge.svg?branch=master
:target: https://coveralls.io/github/codelucas/newspaper
:alt: Coverage status
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`_
.. _tweeted by: https://twitter.com/kennethreitz/status/419520678862548992
.. _The Changelog: http://thechangelog.com/newspaper-delivers-instapaper-style-article-extraction/
Newspaper is a Python3 library! Or, view our deprecated and buggy Python2 branch_
.. _Python2 branch: https://github.com/codelucas/newspaper/tree/python-2-head
A Glance:
.. code-block:: pycon
>>> from newspaper import Article
>>> url = 'http://fox13now.com/2013/12/30/new-year-new-laws-obamacare-pot-guns-and-drones/'
>>> article = Article(url)
.. code-block:: pycon
>>> article.download()
>>> article.html
'<!DOCTYPE HTML><html itemscope itemtype="http://...'
.. code-block:: pycon
>>> 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', ...]
.. code-block:: pycon
>>> article.nlp()
>>> article.keywords
['New Years', 'resolution', ...]
>>> article.summary
'The study shows that 93% of people ...'
.. code-block:: pycon
>>> 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()
...
.. code-block:: pycon
>>> 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.
.. code-block:: pycon
>>> 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
Multi-lingual
If you are certain that an entire news source is in one language, go ahead and use the same api :)
.. code-block:: pycon
>>> 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
Scraping by topic: where do the URLs come from?
newspaper.build() is perfect when you know which sites to crawl. But the other question I get constantly is: "I want every article about X, across all publications — where do I get the URLs?" The answer is to search Google News for your keyword first, then feed the result links straight into newspaper for extraction.
The easiest way to query Google News programmatically is the Google News API_ from SerpApi - Search API_ (they also cover Google Search, Google Maps, and more). The two libraries snap together in a few lines:
.. code-block:: python
# pip3 install google-search-results
from serpapi import GoogleSearch
from newspaper import Article
search = GoogleSearch({
"engine": "google_news",
"q": "electric vehicles",
"api_key": "YOUR_SERPAPI_KEY", # free plan at serpapi.com
})
for result in search.get_dict()["news_results"]:
article = Article(result["link"])
article.download()
article.parse()
article.nlp()
print(article.title, "--", article.summary[:120])
This pattern of SerpApi for discovery, newspaper3k for extraction, is how most production news-monitoring pipelines are built, and it sidesteps writing a crawler for every source you care about.
.. _SerpApi - Search API: https://serpapi.com?utm_source=newspaper3k_github
.. _Google News API: https://serpapi.com/google-news-api?utm_source=newspaper3k_github
Scraping at scale: avoiding IP blocks
Once you move past scraping a handful of articles, you'll hit the same wall every news scraper hits: 403s, captchas, rate limits, and silent shadow bans. Your code is fine — your IP is the problem. The fix is rotating residential proxies.
I personally route my own newspaper3k pipelines through Swiftproxy_ — 80M+ residential IPs across 195+ countries, a 99.89% success rate, non-expiring traffic, and a free trial so you can pressure-test it before paying. Plugging it into newspaper3k takes about four lines:
.. code-block:: python
from newspaper import Article, Config
config = Config()
config.proxies = {
'http': 'http://USERNAME:[email protected]:7777',
'https': 'http://USERNAME:[email protected]:7777',
}
# a real browser UA helps too
config.browser_user_agent = (
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) '
'AppleWebKit/537.36 (KHTML, like Gecko) '
'Chrome/124.0.0.0 Safari/537.36'
)
config.request_timeout = 20
article = Article('https://example.com/some-news-story', config=config)
article.download()
article.parse()
print(article.title)
The same config object works with newspaper.build() — every article fetched by the source will rotate through residential IPs automatically:
.. code-block:: python
import newspaper
paper = newspaper.build('http://cnn.com', config=config, memoize_articles=False)
for article in paper.articles:
article.download()
article.parse()
Grab credentials and a free trial at swiftproxy.net <https://www.swiftproxy.net/?ref=codelucas>_. Use code PROXY90 for 10% off your first plan.
.. _Swiftproxy: https://www.swiftproxy.net/?ref=codelucas
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 <https://newspaper.readthedocs.io/en/latest/user_guide/advanced.html#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, ...)
.. code-block:: pycon
>>> 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 <http://www.pip-installer.org/>_, 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
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/
Interested in scraping APIs & proxies?
Unlock the Web — the Smart Way
Click here to see SerpApi, scrape search engines easily with SerpApi - Search API_.
Scrape Google Search, Google News, Google Maps, and more!
.. image:: https://github.com/user-attachments/assets/9a80eeb4-72a8-43f1-9413-93c7a47b2bf6
:target: https://serpapi.com/google-news-api?utm_source=newspaper3k_github
:alt: Scrape search engines easily with SerpApi - Search API.
.. _Click here to see SerpApi, scrape search engines easily with SerpApi - Search API: https://serpapi.com?utm_source=newspaper3k_github
Power your scraping and automation at real-world scale
Click here to try Swiftproxy_ — built for developers running scraping, automation, and data collection workflows at scale. Access 80M+ residential IPs from $0.7/GB, fast ISP proxies from $6/IP, global coverage across 195+ countries, non-expiring traffic, and a 99.89% success rate. Free trial available — use code PROXY90 for 10% off.
.. image:: https://github.com/user-attachments/assets/913f1fd6-20e9-4f37-89b7-ba6b0bd0724a
:target: https://www.swiftproxy.net/?ref=codelucas
:alt: Swiftproxy — residential and ISP proxies built for scrapers and developers.
.. _Click here to try Swiftproxy: https://www.swiftproxy.net/?ref=codelucas
Stay private, fast, and fully in control
Click here to explore BestProxy, your go-to solution for premium residential proxies. BestProxy's proxies ensure smooth browsing, fast speeds, and total anonymity. Get Started today and experience the difference!
.. image:: https://github.com/user-attachments/assets/1c6ef38c-f0c0-4db0-aad2-3ed9d6adf0b5
:target: https://bestproxy.com/?keyword=b2vgzl0r
:alt: Experience BestProxy, smooth browsing, fast speeds, and total anonymity.
.. _Click here to explore BestProxy: https://bestproxy.com/?keyword=b2vgzl0r
.. _Get Started: https://bestproxy.com/?keyword=b2vgzl0r
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!
.. _Lucas Ou-Yang: http://codelucas.com
.. _email & contact me: mailto:[email protected]
.. _python-goose's: https://github.com/grangier/python-goose
.. _here: https://github.com/codelucas/newspaper/blob/master/GOOSE-LICENSE.txt
.. _https://www.paypal.me/codelucas: https://www.paypal.me/codelucas
.. _Venmo: https://www.venmo.com/Lucas-Ou-Yang
.. _Quickstart guide: https://newspaper.readthedocs.io/en/latest/
.. _The Docs: https://newspaper.readthedocs.io
.. _lxml: http://lxml.de/
.. _requests: https://github.com/kennethreitz/requests
.. _Parse.ly: http://parse.ly
.. _It takes only one click: https://tracking.gitads.io/?campaign=gitads&repo=newspaper&redirect=gitads.io
