Searches National Science Foundation awards database


Keywords
api, National Science Foundation, NSF
License
MIT
Install
pip install fundNSF==0.0.334

Documentation

FundNSF


Python 3 wrapper for National Science Foundations (NSF) award funding API. fundNSF is for performing searches on the National Science Foundations (NSF) awards database through their api.

PyPi

PyPI version

Github

NSF API Website

Installation

installation through pip is recommended:

pip install fundNSF

Example

from fundNSF import FundNSF

>>> nsf = FundNSF()
>>> nsf.set_fields(abstractText=True) # Data will now include the abstract text
>>> nsf.fields['abstractText'] = False # Data will now not include abstract text
>>> nsf.set_params(dateStart='01/01/2018', dateEnd='01/31/2018') # enter date as 'mm/dd/yyyy'
>>> data = nsf.keyword_search('nano') #returns a Dictionary
>>> print(data['title'][0])

CAREER:Active Nano-Acoustic Waveguide Matrix to Tackle Signal
Processing Limits: Enabling Wideband and Nonreciprocal Integrated
Communication Beyond the UHF

>>> award_data = nsf.id_search(data['id'][0])
>>> print(award_data['fundsObligatedAmt'][0])

500000

>>> data = nsf.get_awards_from('07/17/2019')

Used below fields as keywords in set_fields() method to set the fields being retireved.

Fields retrieved from search by default
'id': True,
'title': True,
'agency' : True,
'awardeeCity' : True,
'awardeeName' : True,
'awardeeStateCode' : True,
'date' : True,
'fundsObligatedAmt' : True,
'piFirstName' : True,
'piLastName' : True,
Other retrievable fields
'offset' : False
'awardeeCountryCode' : False,
'awardeeCounty' : False,
'awardeeDistrictCode' : False,
'awardeeZipCode' : False,
'cfdaNumber' : False,
'coPDPI' : False,
'startDate' : False,
'expDate' : False,
'estimatedTotalAmt' : False,
'fundsObligatedAmt' : True,
'dunsNumber' : False,
'fundProgramName' : False,
'parentDunsNumber' : False,
'pdPIName' : False,
'perfCity' : False,
'perfCountryCode' : False,
'perfCounty' : False,
'perfDistrictCode' : False,
'perfLocation' : False,
'perfStateCode' : False,
'perfZipCode' : False,
'poName' : False,
'primaryProgram' : False,
'transType' : False,
'awardee' : False,
'poPhone' : False,
'poEmail' : False,
'awardeeAddress' : False,
'perfAddress' : False,
'publicationResearch' : False,
'publicationConference' : False,
'fundAgencyCode' : False,
'awardAgencyCode' : False,
'projectOutComesReport' : False,
'abstractText' : False,
'piMiddeInitial' : False,
'piLastName' : True,
'piPhone' : False,
'piEmail' : False

Search Parameters

Use as keywords in set_params() method to set search criteria. More search parameters can be found at the NSF API Website.

'offset': None,               #Record offset -> page cfdaNumber
'agency': None,               #'NSF' or 'NASA'
'dateStart': None,            #Start date for award date to search (ex. 12/31/2012)
'dateEnd': None,              #End date for award date to search mm/dd/yyyy
'startDateStart': None,       #Start date for award start date to search
'startDateEnd' : None,        #End date for award start date to search
'expDateStart' : None,        #start date for award exp date to search
'expDateEnd' : None,          #end date for award exp date to search
'estimatedTotalAmtFrom' : None,
'estimatedTotalAmtTo' : None,
'estimatedObligatedAmtFrom' : None,
'estimatedObligatedAmtTo' : None,
'awardeeStateCode' : None,
'awardeeName' : None

Methods:

get_award_from(start_date, batch_func=None, batch_number=10)

start_date: string in the form of 'mm/dd/yyyy'

batch_func: Function to user for batch operations

batch_number: number of pages (25 awards per page) to perform batch_func on

return: dictionary containing award data

If batch functions is not none function will return True as data will be handled by batch_func

get_awards_from('12/25/2018')

keyword_search(*args, batch_func=None, batch_number=10)

takes list of keywords to search nsf awards database for

batch_func: Function to user for batch operations

batch_number: number of pages (25 awards per page) to perform batch_func on

If batch functions is not none function will return True as data will be handled by batch_func

keyword_search('keyword_1', 'keyword_2')

id_search(award_id)

Takes award_id and returns a dictionary containing information on that award using the parameter and field dictionaries

id_search(award_id)

get_report(award_id)

Retrives Project Output Report

award_id: award_id to retrieve report for

return: returns string (report) or list of strings (reports) or None

>>> report = get_report(1052893)

reset()

Resets the fields and params dictionary back to default

>>> reset_fields()

set_fields(self, **kwargs)

Takes boolean Keyword arguments for fields to be retrieved during the search

>>> set_fields(abstractText=True)

visit: https://www.research.gov/common/webapi/awardapisearch-v1.htm for detailed discription of search fields

set_params(self, **kwargs)

Takes Keyword arguments for search parameters being used

>>> set_params(dateStart='01/01/2017', dateEnd='12/31/2017', awardeeStateCode='WI')

visit the NSF API Website for better discription of search parameters

get_fields()

returns search fields dictionary

get_params()

returns search parameter dictionary