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https://github.com/mattdeboard/python-usdol

Python wrapper for US Dept. of Labor API
https://github.com/mattdeboard/python-usdol

Last synced: 23 days ago
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Python wrapper for US Dept. of Labor API

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README

        

==============
Python-USDOL
==============

Python wrapper for the US Dept. of Labor's `developer API `_.

-----
Usage
-----

Usage is straightforward::

import python_usdol

conn = python_usdol.Connection(token='mytoken', secret='mysharedsecret')

data = conn.fetch_data('FAQ', 'Topic')

Where 'FAQ' and 'Topic' are the names of the targeted dataset and table within the dataset, respectively. For a full list of datasets and tables, please consult the Dept. of Labor's developer website, linked above.

``fetch_data`` returns a dictionary, with a key for each column on the database you've specified, with an additional ``__metadata`` key.

Some datasets have "multipart" names, e.g. the `Consumer Expenditure Survey Dataset `_. In this case, since the base url is ``http://api.dol.gov/V1/Statistics/ConsumerExpenditure``, vice e.g. ``.../V1/FORMS``, for the first argument to fetch data, you would pass the "multipart" Agency name::

data = conn.fetch_data('Statistics/ConsumerExpenditure', '')

-----------
Parameters
-----------

Python-USDOL has support for the following methods outlined in the DOL's `API Access Guide `_:

- ``$metadata``
- ``$top``
- ``$skip``
- ``$orderby``
- ``$filter``

------
Filter
------

Using the filter method goes thusly::

data = conn.fetch_data("FAQ", "Topic", filter_="TopicID eq 5")

Since ``filter`` is a keyword in Python, Python-USDOL uses ``filter_`` in its place.

------
Future
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Please help make this API better for everyone by reporting bugs, forking and submitting patches.