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.
Sources supported currently include:
- Arnold Ventures (
arnold) - Carnegie Corporation of New York (
carnegie) - Federal Reporter (
fedreporter) - Bill & Melinda Gates Foundation (
gates) - MacArthur Foundation (
macarthur) - Mellon Foundation (
mellon) - National Endowment for the Humanities (
neh) - NIH RePORTER (
nih) - National Science Foundation (
nsf) - Open Philanthropy (
ophil) - Open Society Foundations (
osociety) - Rockefeller Foundation (
rockefeller) - Russell Sage Foundation (
rsf) - Robert Wood Johnson Foundation (
rwjf) - Alfred P. Sloan Foundation (
sloan) - Social Science Research Council (
ssrc) - John Templeton Foundation (
templeton) - USASpending.gov (
usaspend)
awardFindR 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. nsf_get specifically fetches results from NSF, and nih_get 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.
Search for all awards matching a keyword since the default cutoff of Jan 1, 2019 to today
awardFindR(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:
nsf_get("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.
Install awardFindR directly from this repository using the remotes package
if (!require("remotes")) {
install.packages("remotes")
}
remotes::install_github("PESData/awardFindR")
This package depends on rvest, xml2 and httr.
This package was developed with support from a grant from the Sloan Foundation.