awardFindR is a framework that scrapes and searches a variety of grant and award databases for specific keywords. These include major US federal agencies like NSF and NIH as well as private organizations like the Bill & Melinda Gates Foundation. Results from searching each of these databases are collected and made available to users. The package is designed to be modular and extensible, supporting any number of APIs and other web-based sources that provide award data available online.

Packages that have provided similar functionality include awardsBot.

Installation

Install awardFindR directly from this repository using the remotes package

if (!require("remotes")) {
  install.packages("remotes")
}
remotes::install_github("ropensci/awardFindR")

How the package works

search_awards has parameters to change keywords, sources and dates as search criteria, which are passed on to source routines. Dates are interpreted with varying degrees of precision based on the data available from each source. See included help on individual sources to understand their respective limitations.

Individual sources have functions of their own. get_nsf specifically fetches results from NSF, and get_nih fetches results from NIH, for example. These are meant to provide end users with higher levels of detail if they’re interested in a specific source.

Quick introduction

Search for all awards matching a keyword since the default cutoff of Jan 1, 2019 to today

awardFindR::search_awards(keywords="ethnography")

See the included vignette for additional examples.

For those interested in the results from a specific source, each source has its own function. For example, someone interested in NSF results for “ethnography” between 2018 and 2020 could run the following:

awardFindR::get_nsf("ethnography", "2018-01-01", "2020-01-01")

Similar functions exist for each supported source. See included help for further details, as the arguments differ slightly between each.

Dependencies

This package depends on rvest, xml2 and httr.

Funding

This package was developed with support from a grant from the Sloan Foundation.