# US Federal Spending Monitor - Contracts & Grants to JSON (`lxraa/usaspending-monitor`) Actor Search & monitor US federal contracts & grants via the official USAspending.gov API. Filter by keyword, type, agency and date; clean structured records with direct links. - **URL**: https://apify.com/lxraa/usaspending-monitor.md - **Developed by:** [lxraa](https://apify.com/lxraa) (community) - **Categories:** Business, Agents - **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 ## US Federal Spending Monitor — Contracts & Grants → JSON (with stock tickers) Search and monitor **US federal awards** (contracts & grants) straight from the official [USAspending.gov](https://www.usaspending.gov/) API. No browser, no proxy, no scraping tricks — a public government API, so it's fast, reliable, and fully legal. #### What makes this different: investable-entity mapping Raw award data is free and public. The value is in the **processing layer**. This actor maps each award **recipient to its public-company stock ticker + SEC CIK** (via SEC's official company list), so the output is ready for: - **Alternative-data / signal research** — companies winning large federal contracts often move before the news. Join awards to tickers instantly. - **Watchlists & screeners** — filter awards down to publicly-traded recipients. - **Portfolio surveillance** — monitor government revenue exposure of holdings. Mapping is **conservative** (a wrong ticker is worse than none): exact normalized name match, a safe prefix rule for subsidiaries (e.g. *Lockheed Martin Aeronautics* → LMT), and a small alias table for renames (e.g. *Raytheon* → RTX). Unmatched recipients return `ticker: null`. Turn it off with `mapTickers: false`. #### Input | Field | Description | |-------|-------------| | `keywords` | Terms matched against award text (e.g. `["artificial intelligence"]`) | | `awardCategory` | `contracts`, `grants`, or `both` | | `startDate` / `endDate` | Award action date window (YYYY-MM-DD) | | `maxResults` | Max awards to return (≤ 10000) | | `mapTickers` | Add ticker + CIK for matched recipients (default `true`) | #### Output (one item per award) ```json { "awardId": "HQ014717C0032", "recipient": "LOCKHEED MARTIN CORPORATION", "ticker": "LMT", "cik": 936468, "amount": 9080516982.62, "description": "THAAD INTERCEPTOR LOT 9 PRODUCTION ...", "awardingAgency": "Department of Defense", "awardingSubAgency": "Missile Defense Agency", "startDate": "2017-03-27", "endDate": "2028-11-30", "placeOfPerformanceState": "TX", "url": "https://www.usaspending.gov/award/CONT_AWD_HQ014717C0032_..." } ```` #### Pricing Pay-per-result (PPE): you're billed per award record returned. Run it on a schedule to keep a fresh, ticker-mapped feed of new federal awards. #### Legal & data notes All data comes from the official USAspending.gov API (public award records, no personal data). Ticker/CIK mapping uses SEC's public `company_tickers.json`. This is public-record data, not MNPI. # Actor input Schema ## `keywords` (type: `array`): Search terms matched against award text, e.g. "artificial intelligence", "cybersecurity". ## `awardCategory` (type: `string`): Contracts, grants, or both. ## `startDate` (type: `string`): Award action date on/after this date. ## `endDate` (type: `string`): Award action date on/before this date. ## `maxResults` (type: `integer`): Maximum awards to return (USAspending paginates to 10000). ## `mapTickers` (type: `boolean`): Add public-company ticker + SEC CIK for each award recipient when confidently matched (via SEC's official company list). Turns raw award data into investable-entity-mapped data. ## Actor input object example ```json { "keywords": [ "artificial intelligence" ], "awardCategory": "contracts", "startDate": "2025-01-01", "endDate": "2026-06-22", "maxResults": 200, "mapTickers": true } ``` # 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 = { "keywords": [ "artificial intelligence" ], "startDate": "2025-01-01", "endDate": "2026-06-22" }; // Run the Actor and wait for it to finish const run = await client.actor("lxraa/usaspending-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 = { "keywords": ["artificial intelligence"], "startDate": "2025-01-01", "endDate": "2026-06-22", } # Run the Actor and wait for it to finish run = client.actor("lxraa/usaspending-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 '{ "keywords": [ "artificial intelligence" ], "startDate": "2025-01-01", "endDate": "2026-06-22" }' | apify call lxraa/usaspending-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lxraa/usaspending-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Federal Spending Monitor - Contracts & Grants to JSON", "description": "Search & monitor US federal contracts & grants via the official USAspending.gov API. Filter by keyword, type, agency and date; clean structured records with direct links.", "version": "0.1", "x-build-id": "6JykaEcLFc6YuiA1p" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lxraa~usaspending-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lxraa-usaspending-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/lxraa~usaspending-monitor/runs": { "post": { "operationId": "runs-sync-lxraa-usaspending-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/lxraa~usaspending-monitor/run-sync": { "post": { "operationId": "run-sync-lxraa-usaspending-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": { "keywords": { "title": "Keywords", "type": "array", "description": "Search terms matched against award text, e.g. \"artificial intelligence\", \"cybersecurity\".", "items": { "type": "string" } }, "awardCategory": { "title": "Award category", "enum": [ "contracts", "grants", "both" ], "type": "string", "description": "Contracts, grants, or both.", "default": "contracts" }, "startDate": { "title": "Start date (YYYY-MM-DD)", "type": "string", "description": "Award action date on/after this date." }, "endDate": { "title": "End date (YYYY-MM-DD)", "type": "string", "description": "Award action date on/before this date." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum awards to return (USAspending paginates to 10000).", "default": 200 }, "mapTickers": { "title": "Map recipients to stock tickers", "type": "boolean", "description": "Add public-company ticker + SEC CIK for each award recipient when confidently matched (via SEC's official company list). Turns raw award data into investable-entity-mapped data.", "default": true } } }, "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 } } } } } } } } } } ```