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:PASSWORD@gate.swiftproxy.net:7777',
        'https': 'http://USERNAME:PASSWORD@gate.swiftproxy.net: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:PASSWORD@gate.decodo.com:7000',
        'gb': 'http://GB_USERNAME:PASSWORD@gate.decodo.com:7000',
        'de': 'http://DE_USERNAME:PASSWORD@gate.decodo.com: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.

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.. _`Try Decodo`: https://visit.decodo.com/DWGVM2


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------------------------------------------------------
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.. 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


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----------------------------------------
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.. _`Click here to explore BestProxy`: https://bestproxy.com/?keyword=b2vgzl0r
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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:lucasyangpersonal@gmail.com
.. _`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