# USAspending Federal Awards API — Contracts & Grants (`lmhsolutions/usaspending-federal-awards`) Actor

Search U.S. federal contract and grant awards on the official USAspending.gov API. Filter by keyword, agency, recipient, award type, and date range. Get amounts, NAICS/PSC, place of performance, and award links. No API key.

- **URL**: https://apify.com/lmhsolutions/usaspending-federal-awards.md
- **Developed by:** [LMH Solutions](https://apify.com/lmhsolutions) (community)
- **Categories:** Lead generation, Business, Automation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 federal awards

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## USAspending Federal Awards API — Contracts & Grants

Search **official USAspending.gov** award data (contracts, grants, and more) via the public REST API. No API key.

### What you get

- Award ID, recipient name / UEI, amounts and outlays
- Awarding / funding agencies, award type, dates
- NAICS & PSC codes, place of performance
- Direct `usaspending.gov` award URL

### Inputs

- `keywords`, `awardTypeCodes` (default A–D contracts)
- `timePeriod`, optional agency / recipient filters
- `maxResults`, sort / order

### Source

`api.usaspending.gov` — U.S. Treasury / open government data. ToS-friendly for redistribution of public award records.

### Use cases

- **GovCon / BD teams** — watch keyword awards (e.g. cybersecurity) with amounts, NAICS, and recipient UEI.
- **Subcontractors** — find primes who just won work in your NAICS / geography.
- **Journalists / researchers** — structured federal spending extracts without bulk-download jobs.
- **Apify MCP / agents** — award rows include `usaspendingUrl` for citation.

**Buyer task:** `govcon-cyber-awards-watch`.
**Examples:** https://github.com/LMH-Solutions/apify-open-data-actors (examples/usaspending_contracts.py)

# Actor input Schema

## `keywords` (type: `array`):

Search keywords (award description / recipient text).

## `awardTypeCodes` (type: `array`):

A–D contracts, 02–11 IDVs, 06–11 grants, etc. Default A–D = contracts.

## `timePeriod` (type: `array`):

List of {start_date, end_date} ISO dates.

## `awardingAgencyName` (type: `string`):

Optional top-tier awarding agency name (e.g. Department of Defense).

## `recipientName` (type: `string`):

Optional recipient name text filter.

## `maxResults` (type: `integer`):

Maximum number of results to return.

## `sort` (type: `string`):

Field or expression used to sort results.

## `order` (type: `string`):

Sort direction: asc or desc.

## Actor input object example

```json
{
  "keywords": [
    "cybersecurity",
    "artificial intelligence"
  ],
  "awardTypeCodes": [
    "A",
    "B",
    "C",
    "D"
  ],
  "timePeriod": [
    {
      "start_date": "2023-01-01",
      "end_date": "2026-12-31"
    }
  ],
  "maxResults": 25,
  "sort": "Award Amount",
  "order": "desc"
}
```

# Actor output Schema

## `results` (type: `string`):

Items written to the default dataset via Actor.push_data().

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "cybersecurity",
        "artificial intelligence"
    ],
    "awardTypeCodes": [
        "A",
        "B",
        "C",
        "D"
    ],
    "timePeriod": [
        {
            "start_date": "2023-01-01",
            "end_date": "2026-12-31"
        }
    ],
    "maxResults": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("lmhsolutions/usaspending-federal-awards").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": [
        "cybersecurity",
        "artificial intelligence",
    ],
    "awardTypeCodes": [
        "A",
        "B",
        "C",
        "D",
    ],
    "timePeriod": [{
            "start_date": "2023-01-01",
            "end_date": "2026-12-31",
        }],
    "maxResults": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("lmhsolutions/usaspending-federal-awards").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "cybersecurity",
    "artificial intelligence"
  ],
  "awardTypeCodes": [
    "A",
    "B",
    "C",
    "D"
  ],
  "timePeriod": [
    {
      "start_date": "2023-01-01",
      "end_date": "2026-12-31"
    }
  ],
  "maxResults": 25
}' |
apify call lmhsolutions/usaspending-federal-awards --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lmhsolutions/usaspending-federal-awards"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/9gAG3hMQejI8YrhDR/builds/23WLRA6DuqHIPFAPr/openapi.json