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Smart web page content extractor.

Project description

Constractor (derived from “Content Extractor’) allows one to use machine learning for web pages content extraction. Library provide following functionality:

  • Extendable features api.
  • Gui tools for simple train-set creation.
  • Simple training and testing process.
  • Simple usage of trained model.
  • Models dumping.
  • etc

Installation

NOTE: Project was developed and tested under Ubuntu 12.04. Other operation systems may require enhancements of library.

Ubuntu >=12.04 instructions:

  • Install apt dependecies: sudo apt-get install pip gcc g++ python-dev python-qt4
  • Install constractor: sudo pip install constractor

Usage

Following code will run gui train helper:

#!/usr/bin/env python
from constractor.train import GuiTrainer

if __name__ == '__main__':
    GuiTrainer()

And following code will print html of predicted element in DOM:

#!/usr/bin/env python
from constractor.parser import Parser

if __name__ == '__main__':
    predicted = Parser('https://pypi.python.org', model_file='model.txt').predicted
    for element in predicted:
        print unicode(element.toInnerXml()).encode('utf-8')

Contribution

Project is completely open for contribution. See more on bitbucket repo: https://bitbucket.org/dkuryakin/constractor

Project details


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Files for constractor, version 0.1.0
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