Skip to main content

Html Content / Article Extractor, web scrapping

Project description


Goose was originally an article extractor written in Java that has most recently (aug2011) converted to a scala project by

This is a complete rewrite in python. The aim of the software is is to take any news article or article type web page and not only extract what is the main body of the article but also all meta data and most probable image candidate.

Goose will try to extract the following information:

  • Main text of an article

  • Main image of article

  • Any Youtube/Vimeo movies embedded in article (TODO)

  • Meta Description

  • Meta tags

Originally, Goose was open sourced by in 2011

  • Lead Programmer: Jim Plush (

  • Contributers: Robbie Coleman (

The python version was rewrite by:

  • Xavier Grangier (


If you find Goose useful or have issues please drop me a line, I’d love to hear how you’re using it or what features should be improved

Goose is licensed by under the Apache 2.0 license, see the LICENSE file for more details


mkvirtualenv --no-site-packages goose
git clone
cd python-goose
pip install -r requirements.txt
python install

Take it for a spin

>>> from goose import Goose
>>> url = ''
>>> g = Goose()
>>> article = g.extract(url=url)
>>> article.title
u'Occupy London loses eviction fight'
>>> article.meta_description
"Occupy London protesters who have been camped outside the landmark St. Paul's Cathedral for the past four months lost their court bid to avoid eviction Wednesday in a decision made by London's Court of Appeal."
>>> article.cleaned_text[:150]
(CNN) -- Occupy London protesters who have been camped outside the landmark St. Paul's Cathedral for the past four months lost their court bid to avoi
>>> article.top_image.src


There is two way to pass configuration to goose. The first one is to pass to goose a Configuration() object. The second one is to pass a configuration dict

For instance, if you want to change the userAgent used by Goose juste pass :

>>> g = Goose({'browser_user_agent': 'Mozilla'})

Switching parser : Goose can now be use with lxml html parser or lxml soup parser. By default the html parser is used. If you want to use the soup parser passe it in the configuration dict :

>>> g = Goose({'browser_user_agent': 'Mozilla', 'parser_class':'soup'})

Goose is now language aware

For exemple scrapping a spanish content page with correct meta language tags

>>> from goose import Goose
>>> url = ''
>>> g = Goose()
>>> article = g.extract(url=url)
>>> article.title
u'Las listas de espera se agravan'
>>> article.cleaned_text[:150]
u'Los recortes pasan factura a los pacientes. De diciembre de 2010 a junio de 2012 las listas de espera para operarse aumentaron un 125%. Hay m\xe1s ciudad'

Some pages don’t have correct meta language tags, you can force it using configuration :

>>> from goose import Goose
>>> url = ''
>>> g = Goose({'use_meta_language': False, 'target_language':'es'})
>>> article = g.extract(url=url)
>>> article.cleaned_text[:150]
u'Importante golpe a la banda terrorista ETA en Francia. La Guardia Civil ha detenido en un hotel de Macon, a 70 kil\xf3metros de Lyon, a Izaskun Lesaka y '

Passing {‘use_meta_language’: False, ‘target_language’:’es’} will force as configuration will force the spanish language

Goose in Chinese

Some users want to use Goose for chinese content. Chinese word segementation is way more difficult to deal with that occidental languages. Chinese needs a dedicated StopWord analyser that need to be passed to the config object

>>> from goose import Goose
>>> from goose.text import StopWordsChinese
>>> url  = ''
>>> g = Goose({'stopwords_class': StopWordsChinese})
>>> article = g.extract(url=url)
>>> print article.cleaned_text[:150]



Goose in Arabic

In order to use Goose in Arabic you have to use the StopWordsArabic class.

>>> from goose import Goose
>>> from goose.text import StopWordsArabic
>>> url = ''
>>> g = Goose({'stopwords_class': StopWordsArabic})
>>> article = g.extract(url=url)
>>> print article.cleaned_text[:150]
دمشق، سوريا (CNN) -- أكدت جهات سورية معارضة أن فصائل مسلحة معارضة لنظام الرئيس بشار الأسد وعلى صلة بـ"الجيش الحر" تمكنت من السيطرة على مستودعات للأسل


  • Video extraction

Known issues

  • There is some issue with unicode URLs.

OS X 10.7 Install Instructions

Installation Help:

  1. Install python-devel if you don’t have it

  2. Install libjpeg brew install libjpeg

  3. You need to install the python imaging library. We wont be using it, but its a dependency deep in the goose egg (fun!).

  1. download

    curl -O -L
  2. extract

    tar -xzf Imaging-1.1.7.tar.gz
    cd Imaging-1.1.7
  3. build and install

    python build
    sudo python install
  1. Next up clone this repo and install the egg.

  2. Once you install the egg you have to then copy the resources directory manually into the egg. There is something screwy about the way its setup.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

goose-extractor-1.0.1.tar.gz (43.1 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page