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/

Scraping the local edition of any news site

News sites don't serve everyone the same page. Front pages are localized by country, some stories are geo-restricted, and EU visitors often get a consent wall before they ever see an article. If your scraper always runs from one server, that server's edition is the only one you'll ever collect.

Decodo_ lets you pick where every request comes from — residential IPs in 195+ locations, targetable by country, state, city, ZIP code, or ASN — so newspaper3k gets exactly the page a local reader would. Generate a proxy string per location in the Decodo dashboard (Residential → Proxy setup), then give each edition its own config:

.. code-block:: python

import newspaper
from newspaper import Config

# one proxy string per location, generated in the Decodo dashboard
EDITIONS = {
    'us': 'http://US_USERNAME:[email protected]:7000',
    'gb': 'http://GB_USERNAME:[email protected]:7000',
    'de': 'http://DE_USERNAME:[email protected]:7000',
}

for country, proxy in EDITIONS.items():
    config = Config()
    config.proxies = {'http': proxy, 'https': proxy}
    config.request_timeout = 20

    paper = newspaper.build('https://www.bbc.com', config=config, memoize_articles=False)
    print(f'[{country}] {paper.size()} articles')

    for article in paper.articles[:5]:
        article.download()
        article.parse()
        print('   ', article.title)

newspaper.build() hits the homepage, category pages, and feeds before a single article downloads. If a site sets cookies or consent state on that first visit, choose a sticky session when generating the proxy string: Decodo holds the same IP for up to 30 minutes, so the whole crawl looks like one reader browsing rather than a new stranger on every request.

Get credentials and a 3-day, 100MB trial at decodo.com <https://visit.decodo.com/DWGVM2>_.

.. _Decodo: https://visit.decodo.com/DWGVM2

Interested in scraping APIs & proxies?

Scrape every news site the way local readers see it

.. image:: https://github.com/user-attachments/assets/0bbe6359-7b5b-4a7f-9ace-c6034ecac572 :target: https://visit.decodo.com/DWGVM2 :alt: Decodo — residential proxies with exact location targeting across 195+ locations.

Try Decodo_ — run high-volume automated requests through reliable residential IPs in 195+ locations. Get exact location data on demand, down to the country, city, ZIP code, or ASN, with unbroken connection stability and total request privacy. 115M+ ethically-sourced IPs, 99.99% uptime, unlimited concurrent sessions, and your choice of rotating IPs or sticky sessions of up to 30 minutes. Start with a 3-day, 100MB trial.

.. _Try Decodo: https://visit.decodo.com/DWGVM2

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

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

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

Impact-Site-Verification: 49caf271-823a-450f-84fe-2cc756c8391b