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
1 maintainer
Metadata
1 maintainer
Release files for constractor 0.1.0
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