# USAspending Award Monitor — New Federal Contract Awards (`eschalon/usaspending-award-monitor`) Actor Track newly awarded US federal contracts from the official USAspending API — recipient, agency, amount, dates, and award links. Filter by minimum amount and award types. - **URL**: https://apify.com/eschalon/usaspending-award-monitor.md - **Developed by:** [Corey Kuwanoe](https://apify.com/eschalon) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## USAspending Award Monitor — New Federal Contract Awards Track **new US federal contract activity** — fresh awards and modifications — from the official USAspending.gov API — who won, which agency awarded, how much, and direct links to the award record. Federal agencies move billions in contract actions weekly. Every action is a signal: a competitor won work, an agency has budget in your niche, a prime just picked up a vehicle your company can subcontract on. ### Who uses this - **GovCon business development teams** — see who's winning in your NAICS/agency space - **Subcontractors** — new primes are new doors; reach them while teams staff up - **Market researchers & journalists** — agency spending patterns as they happen - **Sales teams selling to contractors** — a fresh award means fresh budget ### What you get One dataset row per award: | Field | Example | |---|---| | `award_id` | `47QFCA26F0012` | | `recipient` | `ACME FEDERAL SOLUTIONS LLC` | | `amount` | `2450000` | | `awarding_agency` | `Department of Defense` | | `awarding_sub_agency` | `Defense Logistics Agency` | | `award_type` | `DELIVERY ORDER` | | `start_date` / `end_date` | `2026-07-01` / `2027-06-30` | | `description` | Contract work description | | `award_url` | Direct link on usaspending.gov | ### Input - **sinceDays** — look-back window (default 7) - **minAmount** — minimum award size in USD (default $100,000) - **awardTypes** — award type codes (default A/B/C/D: BPA calls, purchase orders, delivery orders, definitive contracts) - **maxItems** — cap on results (default 500, sorted by amount descending) ### Typical setups - **Weekly big-award digest**: schedule weekly, `minAmount: 1000000`, export to Sheets/Slack via Apify integrations. - **Agency watch**: run daily with `sinceDays: 1` and filter downstream by `awarding_agency`. - **Competitor tracking**: filter dataset rows by `recipient` in your pipeline. ### Data source & legality Official USAspending.gov API (Treasury). Public-record US government spending data; no scraping, no API key required, no ToS issues. # Actor input Schema ## `sinceDays` (type: `integer`): Return awards with action dates within this many days. ## `minAmount` (type: `integer`): Only include awards at or above this amount. ## `awardTypes` (type: `array`): USAspending award type codes. Defaults to definitive contracts and purchase orders: A (BPA call), B (purchase order), C (delivery order), D (definitive contract). ## `maxItems` (type: `integer`): Stop after this many awards. ## Actor input object example ```json { "sinceDays": 7, "minAmount": 100000, "awardTypes": [ "A", "B", "C", "D" ], "maxItems": 500 } ```` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("eschalon/usaspending-award-monitor").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("eschalon/usaspending-award-monitor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call eschalon/usaspending-award-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=eschalon/usaspending-award-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USAspending Award Monitor — New Federal Contract Awards", "description": "Track newly awarded US federal contracts from the official USAspending API — recipient, agency, amount, dates, and award links. Filter by minimum amount and award types.", "version": "0.1", "x-build-id": "PPJJXEu4da5ny93tt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/eschalon~usaspending-award-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-eschalon-usaspending-award-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/eschalon~usaspending-award-monitor/runs": { "post": { "operationId": "runs-sync-eschalon-usaspending-award-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/eschalon~usaspending-award-monitor/run-sync": { "post": { "operationId": "run-sync-eschalon-usaspending-award-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "sinceDays": { "title": "Look-back window (days)", "minimum": 1, "maximum": 365, "type": "integer", "description": "Return awards with action dates within this many days.", "default": 7 }, "minAmount": { "title": "Minimum award amount (USD)", "minimum": 0, "type": "integer", "description": "Only include awards at or above this amount.", "default": 100000 }, "awardTypes": { "title": "Award type codes", "type": "array", "description": "USAspending award type codes. Defaults to definitive contracts and purchase orders: A (BPA call), B (purchase order), C (delivery order), D (definitive contract).", "items": { "type": "string" }, "default": [ "A", "B", "C", "D" ] }, "maxItems": { "title": "Max awards", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Stop after this many awards.", "default": 500 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```