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USAspending API Awards: federal contract and grant awards

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Who won federal contracts and grants, and for how much? Pulls USAspending awards by agency, recipient, NAICS and period, with award IDs and source links.

Pricing

from $1.05 / 1,000 result rows

Rating

0.0

(0)

Developer

Public Records

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Lead generation

Business

Developer tools

Keywords

keywords

Optional

Mapped to filters.keywords. Leave empty for broad recent awards; prefer agency/recipient/date.

Type:array

Default:

[]

NAICS codes

naics

Optional

Mapped to filters.naics_codes.

Type:array

Default:

[]

Awarding agency (toptier name)

agency

Optional

Toptier awarding agency name → filters.agencies[{type:awarding,tier:toptier,name}]. Example: Department of Defense.

Type:string | null

Default:

Recipient name

recipient

Optional

Mapped to filters.recipient_search_text (array). Example: Boeing. Verified shape requires an array of strings.

Type:string | null

Default:

Award type codes

awardTypes

Optional

Default A,B,C,D (contracts/IDVs). Avoid assistance codes that may list individuals.

Type:array

Default:

[
  "A",
  "B",
  "C",
  "D"
]

Start date

startDate

Optional

YYYY-MM-DD. Default: today − 30 days (recent awards window).

Type:string | null

End date

endDate

Optional

YYYY-MM-DD. Default: today.

Type:string | null

Subawards mode

subawards

Optional

Pass subawards flag to search (default false).

Type:boolean

Default:false

Fetch award details

fetchDetails

Optional

Hydrate via GET /awards/{generated_internal_id}/. Still one PPE charge.

Type:boolean

Default:false

Max items

maxItems

Optional

Cap on award rows (deduped by awardId|generatedInternalId).

Type:integer

Minimum:1

Maximum:5000

Default:50

USAspending Awards Scraper

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Scrapes federal award and sub-award records from USAspending.gov. Returns each award as a flat row with dollar amount, recipient, agency, location, and classification codes.

ParseForge

5.0

(1)

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