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Publish sample dataset for usaspending-gov-scraper
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---
license: cc-by-4.0
pretty_name: "USASpending.gov Federal Awards Scraper"
tags: [lead_gen, web-scraping, apify, lead-generation, automation, scraper]
size_categories:
- n<1K
---
# USASpending.gov Federal Awards Scraper
Scrape US federal contracts, grants and awards from the official USASpending.gov API — no login, no API key, no blocking. Award ID, recipient, amount, agency, dates and place of performance. Filter by type, date and keyword. Hundreds of thousands of awards per run.
## What the actor scrapes
# 🏛️ USASpending.gov Federal Awards Scraper — US Contracts, Grants & Awards to JSON & CSV Scrape **US federal contracts, grants, loans and direct payments** straight from the **official USASpending.gov API**. This USASpending scraper covers every federal award — trillions of dollars in spending — with recipient, amount, outlays, award type, agency, dates and place of performance. **No login, no API key, no blocking** — one run can return hundreds of thousands of award records. Export federal spe
## Who this is for
This sample is useful for anyone working in **lead gen, lead generation, automation** who wants a quick look at the shape of the data before running the live actor at scale. Treat it as a static snapshot — counts, prices and timestamps reflect the moment the sample was captured and will drift over time.
## Source
**Live source:** This dataset is a static sample. For fresh, customizable extractions, run the live Apify actor: [logiover/usaspending-gov-scraper](https://apify.com/logiover/usaspending-gov-scraper)
## Fields
- **`awardId`** — identifier
- **`recipientName`** — field captured by the actor
- **`awardAmount`** — field captured by the actor
- **`totalOutlays`** — field captured by the actor
- **`awardType`** — field captured by the actor
- **`description`** — textual description
- **`startDate`** — timestamp
- **`endDate`** — timestamp
- **`awardingAgency`** — field captured by the actor
- **`awardingSubAgency`** — field captured by the actor
- **`placeOfPerformanceState`** — field captured by the actor
- **`placeOfPerformanceCountry`** — field captured by the actor
- **`url`** — canonical URL of the item
- **`scrapedAt`** — timestamp the row was scraped
## Sample preview
```json
[
{
"awardId": "HT940216C0001",
"recipientName": "HUMANA GOVERNMENT BUSINESS INC",
"awardAmount": 51269205263.03,
"totalOutlays": 0,
"awardType": "DEFINITIVE CONTRACT",
"description": "IGF::OT::IGF",
"startDate": "2016-08-01",
"endDate": "2025-12-31",
"awardingAgency": "Department of Defense",
"awardingSubAgency": "Defense Health Agency",
"placeOfPerformanceState": "KY",
"placeOfPerformanceCountry": "USA",
"url": "https://www.usaspending.gov/award/CONT_AWD_HT940216C0001_9700_-NONE-_-NONE-",
"scrapedAt": "2026-05-14T18:23:12.567Z"
},
{
"awardId": "DENA0003525",
"recipientName": "NATIONAL TECHNOLOGY & ENGINEERING SOLUTIONS OF SANDIA, LLC",
"awardAmount": 42111665692.01,
"totalOutlays": 25057221229.35,
"awardType": "DEFINITIVE CONTRACT",
"description": "IGF::CL,CT::IGF CONTRACT AWARD DE-NA0003525 TO THE NATIONAL TECHNOLOGY&ENGINEERING SOLUTIONS OF SANDIA, LLC (NTESS) FOR THE MANAGEMENT AND OPERATION OF THE DEPARTMENT OF ENERGY, NATIONAL NUCLEAR SECURITY ADMINISTRATION'S SANDIA NATIONAL LABORATORIES (SNL)",
"startDate": "2017-01-18",
"endDate": "2027-04-30",
"awardingAgency": "Department of Energy",
"awardingSubAgency": "Department of Energy",
"placeOfPerformanceState": "NM",
"placeOfPerformanceCountry": "USA",
"url": "https://www.usaspending.gov/award/CONT_AWD_DENA0003525_8900_-NONE-_-NONE-",
"scrapedAt": "2026-05-14T18:23:12.720Z"
}
]
```
## Snapshot stats
- Row count in this sample: **100**
- Data quality flag at capture time: `EXISTING_USED`
## License & Attribution
Released under **Creative Commons Attribution 4.0 (CC BY 4.0)**. If you use this data, please credit the source actor and link back to its Apify Store page: [logiover/usaspending-gov-scraper](https://apify.com/logiover/usaspending-gov-scraper).
The sample is provided as-is for evaluation and research. Source websites retain their own terms of service — downstream users are responsible for complying with them when running the live actor or redistributing scraped content.