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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.

In the above example, data will be a list of Datum instances. Each Datum instance provides access to all of the data from the dictionary object it represents, as well as some metadata about itself, using attribute syntax.

e.g. from the example: data[0].TopicID == 1, data[0].TopicValue == u'Wages & Work Hours'

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', '<desired table name>')

Parameters

Python-USDOL has support for all the request 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

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

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