# Government Contract Scraper - USASpending.gov (`intelscrape/government-contract-scraper`) Actor Scrape federal contract awards (recipient, agency, value, NAICS, dates) from USASpending.gov for BD, competitive intelligence, and investor research. - **URL**: https://apify.com/intelscrape/government-contract-scraper.md - **Developed by:** [IntelScrape](https://apify.com/intelscrape) (community) - **Categories:** Lead generation, Jobs, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 ## Government Contract Scraper — USASpending.gov Scrape federal contract **awards** from USASpending.gov, the official U.S. government spending API. Get recipient, awarding agency, contract value, NAICS code, dates, and description for every award matching your keywords. **No API key required.** ### What you get - Award ID, recipient company, awarding & funding agency - Contract value + formatted amount and size tier (MEGA $100M+ / LARGE $10M+ / MID $1M+ / SMALL $100K+ / MICRO) - NAICS code, contract award type, place of performance (state) - Start/end dates and description - Direct USASpending.gov award URL ### Filters - **Keywords** — industry or technology terms (e.g. "cybersecurity", "cloud computing") - **Minimum award value** — drop anything below your threshold - **Agency** — limit to a specific awarding agency - **NAICS codes** — limit to specific industries - **Days back** — how far to look (up to 365 days) ### Use cases - **Government BD teams** — find recent awards, identify incumbents and market size - **Capture management** — see who won what, and for how much - **Competitive intelligence** — track competitor government wins - **Investor research** — spot companies landing large federal contracts ### Sample output ```json { "source": "usaspending.gov", "awardId": "FA8823-26-C-0012", "recipient": "Palantir Technologies Inc.", "awardingAgency": "Department of the Air Force", "fundingAgency": "Department of Defense", "amount": 48750000, "amountFormatted": "$48,750,000", "startDate": "2026-02-01", "endDate": "2029-01-31", "description": "Cloud-based data analytics platform for mission planning...", "naicsCode": "541511", "naicsDescription": "Custom Computer Programming Services", "contractType": "Definitive Contract", "state": "VA", "tier": "LARGE CONTRACT ($10M+)", "searchKeyword": "cloud computing", "url": "https://www.usaspending.gov/award/FA8823-26-C-0012/", "scrapedAt": "2026-06-24T12:00:00.000Z" } ```` ### Data source **USASpending.gov REST API** — official federal awarded-contract data. Results reflect **awarded (completed) contracts** and lag real time by ~30 days, matching the government's publishing cadence. ### Schedule Run daily or weekly — new awards post every business day. ### More by IntelScrape | Actor | What it does | |-------|-------------| | **Building Permit Scraper** | Government facility & commercial construction permits | | **LinkedIn Lead Scraper + Email Finder** | Find contracting officers, program managers, BD directors | | **SEC Insider Trading Tracker** | See if executives at gov contractors are buying their own stock | # Actor input Schema ## `keywords` (type: `array`): Industry or technology keywords ## `minValue` (type: `integer`): Minimum award value ($) ## `daysBack` (type: `integer`): Days to look back ## `onlyActiveContracts` (type: `boolean`): If checked, excludes contracts that have passed their End Date. ## `agencies` (type: `array`): e.g. \["Department of Defense", "HHS"] ## `naicsCodes` (type: `array`): Filter by industry NAICS codes e.g. \["541511","541512"] ## `maxResults` (type: `integer`): Max results ## Actor input object example ```json { "keywords": [ "artificial intelligence", "cybersecurity", "cloud computing" ], "minValue": 100000, "daysBack": 365, "onlyActiveContracts": true, "agencies": [], "naicsCodes": [], "maxResults": 200 } ``` # Actor output Schema ## `source` (type: `string`): No description ## `awardId` (type: `string`): No description ## `recipient` (type: `string`): No description ## `awardingAgency` (type: `string`): No description ## `fundingAgency` (type: `string`): No description ## `amount` (type: `string`): No description ## `amountFormatted` (type: `string`): No description ## `startDate` (type: `string`): No description ## `endDate` (type: `string`): No description ## `description` (type: `string`): No description ## `naicsCode` (type: `string`): No description ## `naicsDescription` (type: `string`): No description ## `contractType` (type: `string`): No description ## `state` (type: `string`): No description ## `tier` (type: `string`): No description ## `searchKeyword` (type: `string`): No description ## `url` (type: `string`): No description ## `scrapedAt` (type: `string`): No description # 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("intelscrape/government-contract-scraper").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("intelscrape/government-contract-scraper").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 intelscrape/government-contract-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=intelscrape/government-contract-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Government Contract Scraper - USASpending.gov", "description": "Scrape federal contract awards (recipient, agency, value, NAICS, dates) from USASpending.gov for BD, competitive intelligence, and investor research.", "version": "2.1", "x-build-id": "XxUeK99u1B0mP0rD2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/intelscrape~government-contract-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-intelscrape-government-contract-scraper", "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/intelscrape~government-contract-scraper/runs": { "post": { "operationId": "runs-sync-intelscrape-government-contract-scraper", "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/intelscrape~government-contract-scraper/run-sync": { "post": { "operationId": "run-sync-intelscrape-government-contract-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "keywords": { "title": "Keywords to search", "type": "array", "description": "Industry or technology keywords", "items": { "type": "string" }, "default": [ "artificial intelligence", "cybersecurity", "cloud computing" ] }, "minValue": { "title": "Minimum award value ($)", "minimum": 0, "type": "integer", "description": "Minimum award value ($)", "default": 100000 }, "daysBack": { "title": "Days to look back", "minimum": 1, "maximum": 365, "type": "integer", "description": "Days to look back", "default": 365 }, "onlyActiveContracts": { "title": "Only active contracts", "type": "boolean", "description": "If checked, excludes contracts that have passed their End Date.", "default": true }, "agencies": { "title": "Filter by agency (optional)", "type": "array", "description": "e.g. [\"Department of Defense\", \"HHS\"]", "items": { "type": "string" }, "default": [] }, "naicsCodes": { "title": "NAICS codes (optional)", "type": "array", "description": "Filter by industry NAICS codes e.g. [\"541511\",\"541512\"]", "items": { "type": "string" }, "default": [] }, "maxResults": { "title": "Max results", "minimum": 10, "maximum": 1000, "type": "integer", "description": "Max results", "default": 200 } } }, "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 } } } } } } } } } } ```