Search FPDS returning CSV files.
fpds_csv(
fpds_type = "award",
decode_contract_ids = F,
vendor_doing_business_as_name = NA,
global_vendor_name = NA,
vendor_name = NA,
parent_vendor_name = NA,
vendor_uei = NA,
uei_name = NA,
base_exercised_options_value = NA,
current_contract_value = NA,
dollars_obligated = NA,
contract_value = NA,
fee_range_lower_value = NA,
fee_range_upper_value = NA,
fixed_fee_value = NA,
obligated_amount = NA,
total_current_contract_value = NA,
total_dollars_obligated = NA,
total_non_government_value = NA,
total_ultimate_contract_value = NA,
ultimate_contract_value = NA,
contract_fiscal_year = NA,
vendor_duns_number = NA,
parent_duns_number = NA,
agency_name = NA,
award_type = NA,
solicitation_procedure = NA,
contracting_office_name = NA,
contracting_agency_name = NA,
principal_naics_code = NA,
award_status = NA,
contract_type = NA,
contract_type_description = NA,
type_of_contract_pricing = NA,
contract_id = NA,
subcontract_plan = NA,
ref_idv_contract_id = NA,
ref_idv_agency_id = NA,
contracting_agency_id = NA,
contracting_office_id = NA,
funding_agency_id = NA,
funding_office_id = NA,
funding_office_name = NA,
agency_code = NA,
department_id = NA,
department_name = NA,
research = NA,
last_mod_date = NA,
last_modified_by = NA,
award_completion_date = NA,
created_date = NA,
signed_date = NA,
effective_date = NA,
estimated_completion_date = NA,
cancellation_date = NA,
destroy_date = NA,
final_invoice_paid_date = NA,
funded_through_date = NA,
last_modified_date = NA,
physical_completion_date = NA,
reveal_date = NA,
solicitation_issue_date = NA,
sys_last_modified_date = NA,
vendor_registration_date = NA,
vendor_renewal_date = NA,
created_by = NA,
description_of_requirement = NA,
reason_for_modification = NA,
legislative_mandates = NA,
local_area_set_aside = NA,
socio_economic_indicators = NA,
multiyear_contract = NA,
national_interest_code = NA,
product_or_service_code = NA,
performance_district_code = NA,
performance_country = NA,
performance_state_name = NA,
vendor_address_city = NA,
vendor_congress_district_code = NA,
vendor_address_country_code = NA,
vendor_address_country_name = NA,
vendor_address_state_code = NA,
vendor_address_state_name = NA,
vendor_address_zip_code = NA,
extent_competed = NA,
number_of_offers_received = NA,
sort_item = "Signed Date",
unformat = F,
exclude_bloat = T,
clean_entity_column = F,
sort_descending = T,
use_future = T,
return_message = T,
snake_names = F,
...
)award
recovery
ICD
if TRUE cleans entity columns
library(tidyverse)
library(govtrackR)
## Anything with contract signed between April 6th & 8th
data <- fpds_csv(signed_date = "2019/04/06|2019/04/08")
## What has the government spent on software from March 1st 2019 to April 8th 2019 vs Last Year
df_software <- fpds_csv(principal_naics_code = 511210, signed_date = c("2019-03-01", "2019-04-08"))
df_software %>% glimpse()
## Exhibit Design Architectural Services
fpds_csv(product_or_service_code = "C1PB")