NYTimesArticleAPInew 1.0.0

Installation

With pip:

$ pip install NYTimesArticleAPI

Dependencies

NYTimesArticleAPI requires the `requests <https://pypi.python.org/pypi/requests>`__ and `setuptools <https://pypi.python.org/pypi/setuptools>`__ packages.

Usage

Simply import and initialize the API with your developer key:

>>> from NYTimesArticleAPI import articleAPI
>>> api = articleAPI("YourAPIKey")

Then call the search function with your desired search parameters/values:

>>> articles = api.search(q="Obama",
                          fq={"headline": "Obama",
                              "source": ["Reuters",
                                         "AP",
                                         "The New York Times"]},
                          begin_date="20161023", # this can also be an int
                          facet_field=["source", "day_of_week"],
                          facet_filter=True)

The search function returns a Python dictionary of the search results.

You can specify multiple filters by using a dictionary:

.. code:: python

>>> fq = {"headline": "Obama", "source": ["Reuters", "AP", "The New York Times"]}

And multiple values by using a list:

.. code:: python

>>> facet_field = ["source", "day_of_week"]

More examples:

>>> articles = api.search(q="Obama")

>>> articles = api.search(q="Obama", begin_date="20111231", page=2)

For a complete overview of the available search parameters, please refer to the NYTimes Article Search API Documentation.

History

This package was originally written by Evan Sherlock as `nytimesarticle <https://github.com/evansherlock/nytimesarticle>`__. It has since been forked and updated by Matt Morrison, and subsequently released as `NyTimesArticleAPI <https://pypi.python.org/pypi/NYTimesArticleAPI>`__, with contributions from Gerald Spencer and Andrew Han.

License

© 2016 Matt Morrison mattdmo@pigimal.com.

This is free software. It is licensed under the MIT License. Feel free to use this in your own work. However, if you modify and/or redistribute it, please attribute me in some way, and distribute your work under this or a similar license. A shout-out or a beer would be appreciated.