# US Federal Contract Awards (`great_pistachio/us-federal-contract-awards`) Actor Find who just won US federal contracts, grants, and loans, from USAspending.gov. Filter by recipient (track a competitor), keyword, NAICS industry, and date. Recipient, amount, agency, and a link to each award. For govcon lead generation and competitive intelligence. - **URL**: https://apify.com/great\_pistachio/us-federal-contract-awards.md - **Developed by:** [Saturnin Pugnet](https://apify.com/great_pistachio) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results 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/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Contract Awards Find out **who just won US federal contracts, grants, and loans**, straight from [USAspending.gov](https://www.usaspending.gov). Filter by recipient, keyword, NAICS industry, agency, and date. Lightweight HTTP actor, no key. ### Use Cases - **Govcon lead generation**: find prime contractors who just won awards (they need subcontractors, suppliers, staffing) - **Competitive intelligence**: track every award a competitor wins — set `recipientSearch` to their name - **Market sizing**: total awards by NAICS industry or agency over a period - **Partnership scouting**: find who's active in your space and agency ### Input ```json { "awardCategory": "contracts", "keyword": "artificial intelligence", "sinceDays": 30, "sortBy": "Award Amount", "maxResults": 500 } ```` Track a specific company: ```json { "awardCategory": "contracts", "recipientSearch": "Palantir", "sinceDays": 365 } ``` | Field | Description | |-------|-------------| | `awardCategory` | `contracts`, `grants`, `loans`, `direct_payments`, `other` | | `recipientSearch` | Filter to a recipient name (competitor tracking) | | `keyword` | Free-text keyword across award data | | `naicsCodes` | NAICS industry codes to filter by | | `sinceDays` | Awards with activity in the last N days | | `sortBy` | `Award Amount`, `Start Date`, or `Recipient Name` | | `maxResults` | Cap (0 = unlimited) | ### Output Each award: `awardId`, `recipientName`, `awardAmount`, `awardType`, `awardingAgency`, `awardingSubAgency`, `startDate`, `endDate`, `description`, `naicsCode`, `placeOfPerformanceState`, `awardUrl` (link to the award on USAspending), `dataSource`. ### Notes - Data is from the official USAspending.gov API, refreshed nightly/monthly (transaction data lands within days-to-weeks of the award). - The date window uses award activity date; sort by `Award Amount` to see the biggest recent awards first. ### Related Actors - [SEC Filings & Insider Trading Monitor](https://apify.com/great_pistachio/sec-filings-monitor) - Public-company filings for the same recipients - [US Business Entity Search](https://apify.com/great_pistachio/us-business-search) - Verify a recipient's business registration - [Website Company Enricher](https://apify.com/great_pistachio/website-company-enricher) - Enrich recipients with contact and company data # Actor input Schema ## `awardCategory` (type: `string`): Which award category to pull. ## `recipientSearch` (type: `string`): Filter to awards whose recipient name matches this text (e.g. a competitor's name). Leave empty for all. ## `keyword` (type: `string`): Free-text keyword across award data (e.g. 'artificial intelligence', 'cybersecurity'). Leave empty for all. ## `naicsCodes` (type: `array`): Filter by NAICS industry codes (e.g. \['541511']). Leave empty for all. ## `sinceDays` (type: `integer`): Include awards with activity in the last N days. ## `sortBy` (type: `string`): How to sort results. ## `maxResults` (type: `integer`): Cap total awards. 0 = unlimited. ## Actor input object example ```json { "awardCategory": "contracts", "recipientSearch": "", "keyword": "", "naicsCodes": [], "sinceDays": 30, "sortBy": "Award Amount", "maxResults": 100 } ``` # Actor output Schema ## `defaultDataset` (type: `string`): US federal contract/grant/loan awards - recipient, amount, agency, type, NAICS, dates, description, and a link to the award on USAspending # 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 = { "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("great_pistachio/us-federal-contract-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "maxResults": 100 } # Run the Actor and wait for it to finish run = client.actor("great_pistachio/us-federal-contract-awards").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 '{ "maxResults": 100 }' | apify call great_pistachio/us-federal-contract-awards --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=great_pistachio/us-federal-contract-awards", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Federal Contract Awards", "description": "Find who just won US federal contracts, grants, and loans, from USAspending.gov. Filter by recipient (track a competitor), keyword, NAICS industry, and date. Recipient, amount, agency, and a link to each award. For govcon lead generation and competitive intelligence.", "version": "1.0", "x-build-id": "842uvsuuLyUNhhLVq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/great_pistachio~us-federal-contract-awards/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-great_pistachio-us-federal-contract-awards", "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/great_pistachio~us-federal-contract-awards/runs": { "post": { "operationId": "runs-sync-great_pistachio-us-federal-contract-awards", "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/great_pistachio~us-federal-contract-awards/run-sync": { "post": { "operationId": "run-sync-great_pistachio-us-federal-contract-awards", "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", "required": [ "awardCategory", "sinceDays" ], "properties": { "awardCategory": { "title": "Award Category", "enum": [ "contracts", "grants", "loans", "direct_payments", "other" ], "type": "string", "description": "Which award category to pull.", "default": "contracts" }, "recipientSearch": { "title": "Recipient Search", "type": "string", "description": "Filter to awards whose recipient name matches this text (e.g. a competitor's name). Leave empty for all.", "default": "" }, "keyword": { "title": "Keyword", "type": "string", "description": "Free-text keyword across award data (e.g. 'artificial intelligence', 'cybersecurity'). Leave empty for all.", "default": "" }, "naicsCodes": { "title": "NAICS Codes", "type": "array", "description": "Filter by NAICS industry codes (e.g. ['541511']). Leave empty for all.", "default": [], "items": { "type": "string" } }, "sinceDays": { "title": "Since (days)", "minimum": 1, "maximum": 3650, "type": "integer", "description": "Include awards with activity in the last N days.", "default": 30 }, "sortBy": { "title": "Sort By", "enum": [ "Award Amount", "Start Date", "Recipient Name" ], "type": "string", "description": "How to sort results.", "default": "Award Amount" }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Cap total awards. 0 = unlimited.", "default": 100 } } }, "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 } } } } } } } } } } ```