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Automatically extracts and normalizes an online article or blog post publication date

Project Description



articleDateExtractor (Article Date Extractor) is a simple open source Python module, built and maintained by [](, that automatically detects, extracts and normalizes the publication date of an online article or blog post.

## Feature

1. Extracting the publication date information when it is specified in a web page, with over 90% success rate.

## A Quick Example


import articleDateExtractor

d = articleDateExtractor.extractArticlePublishedDate("")

print d

d = articleDateExtractor.extractArticlePublishedDate("")

print d


## Installing

Available through pip:


$ pip install articleDateExtractor
Alternatively, you can install from source:


$ git clone
$ cd article-date-extractor
$ python install

## Dependencies

* [BeautifulSoup]( >= 3.2.1
* [python-dateutil]( >= 2.4.2

## About

At []( we crawl, structure, unify and aggregate data from millions of online sources (news sites, blogs, discussion forums, comments etc..), so the need for a
scalable solution that will automatically extract and structure the unstructured web is critical. We use multiple signals and algorithms to automatically detect where the post text is, the author name, the comments,
and of course the date. With articleDateExtractor (Article Date Extractor) we rely on the many "different types of standards" out there to automatically detect the date (with a success rate of over 90%).



Release History

Release History

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
articleDateExtractor-0.17-py2-none-any.whl (6.5 kB) Copy SHA256 Checksum SHA256 2.7 Wheel Jan 25, 2016
articleDateExtractor-0.17.tar.gz (4.1 kB) Copy SHA256 Checksum SHA256 Source Jan 25, 2016

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