# USAspending.gov Scraper (US Federal Contracts & Awards) (`opendata-labs/usaspending-scraper`) Actor Scrape USAspending.gov — the official record of US federal spending — for contracts, grants, loans and awards with recipient, amount, agency and place of performance, through the government's own public API. Built for GovCon sales intelligence, competitor research and B2B lead generation. - **URL**: https://apify.com/opendata-labs/usaspending-scraper.md - **Developed by:** [Joao Paulo](https://apify.com/opendata-labs) (community) - **Categories:** Lead generation, Automation, Integrations - **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.gov Scraper — US Federal Contracts, Grants & Awards Scrape **USAspending.gov**, the US government's official record of federal spending, through its free public [API](https://api.usaspending.gov). No API key, no anti-bot, no login. Find **contracts, grants, loans and awards** with the **recipient (company), dollar amount, agency, dates and place of performance**. Great for **government-contracting (GovCon) sales intelligence, competitor research, market sizing and B2B lead generation** — the companies winning federal money are qualified leads. ### Modes - **Awards** — one row per contract/grant/award, sorted by dollar amount. - **Recipients** — companies aggregated by total dollars awarded (top winners). ### Filters Award category (contracts / grants / direct payments / loans / other), keywords, recipient name, awarding agency, recipient state, and a date range. ### Example input ```json { "mode": "awards", "awardCategory": "contracts", "keywords": ["cybersecurity"], "awardingAgency": "Department of Defense", "startDate": "2023-01-01", "maxItems": 500 } ```` ### Output fields (awards) `awardId`, `recipientName`, `awardAmount`, `totalOutlays`, `description`, `awardType`, `awardingAgency`, `awardingSubAgency`, `startDate`, `endDate`, `popState`, `popCountry`, `usaspendingUrl`. ### Notes - Data is the official federal spending record (from 2007-10-01 onward via the search API). - If no date range is given, the search covers 2008-10-01 to today. ### Keywords USAspending scraper, federal contracts data, government contracts, GovCon leads, federal grants scraper, government spending, contract awards, agency spending, recipient data, SAM alternative, federal award search, B2B GovCon sales. # Actor input Schema ## `mode` (type: `string`): What to scrape. 'awards' returns individual federal awards (one row per award). 'recipients' returns recipients aggregated by total dollars awarded (one row per recipient). ## `awardCategory` (type: `string`): Type of federal spending to search. ## `keywords` (type: `array`): Free-text keywords to match in the award (e.g. product, service or program). Leave empty to not filter by keyword. ## `recipientSearchText` (type: `string`): Filter to awards whose recipient (company) name matches this text. ## `awardingAgency` (type: `string`): Filter by the top-tier awarding agency name (e.g. 'Department of Defense', 'Department of Health and Human Services'). ## `recipientState` (type: `string`): Filter by the recipient's US state (e.g. 'CA', 'TX'). ## `startDate` (type: `string`): Only awards with activity on or after this date. Defaults to 2008-10-01 if empty. ## `endDate` (type: `string`): Only awards with activity on or before this date. Defaults to today if empty. ## `maxItems` (type: `integer`): Stop after pushing this many rows to the dataset. ## Actor input object example ```json { "mode": "awards", "awardCategory": "contracts", "keywords": [], "maxItems": 1000 } ``` # 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": [], "recipientSearchText": "", "awardingAgency": "", "recipientState": "", "startDate": "", "endDate": "" }; // Run the Actor and wait for it to finish const run = await client.actor("opendata-labs/usaspending-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 = { "keywords": [], "recipientSearchText": "", "awardingAgency": "", "recipientState": "", "startDate": "", "endDate": "", } # Run the Actor and wait for it to finish run = client.actor("opendata-labs/usaspending-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 '{ "keywords": [], "recipientSearchText": "", "awardingAgency": "", "recipientState": "", "startDate": "", "endDate": "" }' | apify call opendata-labs/usaspending-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=opendata-labs/usaspending-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USAspending.gov Scraper (US Federal Contracts & Awards)", "description": "Scrape USAspending.gov — the official record of US federal spending — for contracts, grants, loans and awards with recipient, amount, agency and place of performance, through the government's own public API. Built for GovCon sales intelligence, competitor research and B2B lead generation.", "version": "0.1", "x-build-id": "AVSKz7HB3rfqaF1qR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/opendata-labs~usaspending-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-opendata-labs-usaspending-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/opendata-labs~usaspending-scraper/runs": { "post": { "operationId": "runs-sync-opendata-labs-usaspending-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/opendata-labs~usaspending-scraper/run-sync": { "post": { "operationId": "run-sync-opendata-labs-usaspending-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": { "mode": { "title": "Mode", "enum": [ "awards", "recipients" ], "type": "string", "description": "What to scrape. 'awards' returns individual federal awards (one row per award). 'recipients' returns recipients aggregated by total dollars awarded (one row per recipient).", "default": "awards" }, "awardCategory": { "title": "Award category", "enum": [ "contracts", "grants", "direct_payments", "loans", "other" ], "type": "string", "description": "Type of federal spending to search.", "default": "contracts" }, "keywords": { "title": "Keywords", "type": "array", "description": "Free-text keywords to match in the award (e.g. product, service or program). Leave empty to not filter by keyword.", "items": { "type": "string" } }, "recipientSearchText": { "title": "Recipient name contains", "type": "string", "description": "Filter to awards whose recipient (company) name matches this text." }, "awardingAgency": { "title": "Awarding agency", "type": "string", "description": "Filter by the top-tier awarding agency name (e.g. 'Department of Defense', 'Department of Health and Human Services')." }, "recipientState": { "title": "Recipient state (2-letter code)", "type": "string", "description": "Filter by the recipient's US state (e.g. 'CA', 'TX')." }, "startDate": { "title": "Start date (YYYY-MM-DD)", "type": "string", "description": "Only awards with activity on or after this date. Defaults to 2008-10-01 if empty." }, "endDate": { "title": "End date (YYYY-MM-DD)", "type": "string", "description": "Only awards with activity on or before this date. Defaults to today if empty." }, "maxItems": { "title": "Maximum items", "minimum": 1, "type": "integer", "description": "Stop after pushing this many rows to the dataset.", "default": 1000 } } }, "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 } } } } } } } } } } ```