# USAspending Award Search (`prophed/usaspending-award-search`) Actor Search official US federal award data through USAspending.gov and emit normalized award records. - **URL**: https://apify.com/prophed/usaspending-award-search.md - **Developed by:** [Prophed Com](https://apify.com/prophed) (community) - **Categories:** Business, Developer tools, Automation - **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 Search Search official US federal award data through USAspending.gov and emit normalized Apify dataset rows. This Actor is built for procurement intelligence, grant monitoring, competitor research, agency spend analysis, and scheduled public-sector data feeds. ### Use cases - Find high-value federal contracts, grants, loans, and assistance awards. - Monitor award activity for recipients, agencies, keywords, or time windows. - Export USAspending award results to CSV, JSON, Excel, BI tools, warehouses, or webhooks. - Feed procurement and market-intelligence pipelines with normalized public award records. ### Input ```json { "startDate": "2025-01-01", "endDate": "2025-12-31", "awardTypeCodes": ["A", "B", "C", "D"], "keywords": [], "recipientSearchText": [], "fields": ["Award ID", "Recipient Name", "Award Amount", "Start Date", "End Date", "Awarding Agency"], "sort": "Award Amount", "order": "desc", "pageSize": 100, "maxPages": 5, "maxItems": 500 } ```` The default award type codes focus on contract-style awards. Users can pass USAspending-compatible award type codes and filters for their own workflows. ### Output Each dataset row is one award result: ```json { "source": "usaspending", "awardId": "HT940216C0001", "recipientName": "HUMANA GOVERNMENT BUSINESS INC", "awardAmount": 51269205263.03, "startDate": "2016-08-01", "endDate": "2025-12-31", "awardingAgency": "Department of Defense", "page": 1 } ``` If USAspending returns an error, the Actor writes a structured error row with the page, request URL, and message. ### Notes This Actor uses the public USAspending API and does not require an API key. USAspending search semantics and award-code meanings are controlled by USAspending.gov. # Actor input Schema ## `startDate` (type: `string`): Award search start date in YYYY-MM-DD format. ## `endDate` (type: `string`): Award search end date in YYYY-MM-DD format. ## `awardTypeCodes` (type: `array`): USAspending award type codes. ## `keywords` (type: `array`): Optional keyword filters. ## `recipientSearchText` (type: `array`): Optional recipient name search strings. ## `fields` (type: `array`): USAspending result fields to request. ## `sort` (type: `string`): USAspending sort field. ## `order` (type: `string`): asc or desc. ## `pageSize` (type: `integer`): Rows per USAspending page. ## `maxPages` (type: `integer`): Maximum USAspending pages to request. ## `maxItems` (type: `integer`): Hard cap for dataset rows. ## `timeoutSecs` (type: `integer`): Per-request timeout. ## Actor input object example ```json { "startDate": "2025-01-01", "endDate": "2025-12-31", "awardTypeCodes": [ "A", "B", "C", "D" ], "keywords": [], "recipientSearchText": [], "fields": [ "Award ID", "Recipient Name", "Award Amount", "Start Date", "End Date", "Awarding Agency", "Award Type" ], "sort": "Award Amount", "order": "desc", "pageSize": 100, "maxPages": 5, "maxItems": 500, "timeoutSecs": 30 } ``` # Actor output Schema ## `results` (type: `string`): No description ## `summary` (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 = { "awardTypeCodes": [ "A", "B", "C", "D" ], "keywords": [], "recipientSearchText": [], "fields": [ "Award ID", "Recipient Name", "Award Amount", "Start Date", "End Date", "Awarding Agency", "Award Type" ] }; // Run the Actor and wait for it to finish const run = await client.actor("prophed/usaspending-award-search").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 = { "awardTypeCodes": [ "A", "B", "C", "D", ], "keywords": [], "recipientSearchText": [], "fields": [ "Award ID", "Recipient Name", "Award Amount", "Start Date", "End Date", "Awarding Agency", "Award Type", ], } # Run the Actor and wait for it to finish run = client.actor("prophed/usaspending-award-search").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 '{ "awardTypeCodes": [ "A", "B", "C", "D" ], "keywords": [], "recipientSearchText": [], "fields": [ "Award ID", "Recipient Name", "Award Amount", "Start Date", "End Date", "Awarding Agency", "Award Type" ] }' | apify call prophed/usaspending-award-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=prophed/usaspending-award-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USAspending Award Search", "description": "Search official US federal award data through USAspending.gov and emit normalized award records.", "version": "0.1", "x-build-id": "fXkurDlfaatGQE0I9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/prophed~usaspending-award-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-prophed-usaspending-award-search", "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/prophed~usaspending-award-search/runs": { "post": { "operationId": "runs-sync-prophed-usaspending-award-search", "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/prophed~usaspending-award-search/run-sync": { "post": { "operationId": "run-sync-prophed-usaspending-award-search", "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": [ "startDate", "endDate" ], "properties": { "startDate": { "title": "Start date", "type": "string", "description": "Award search start date in YYYY-MM-DD format.", "default": "2025-01-01" }, "endDate": { "title": "End date", "type": "string", "description": "Award search end date in YYYY-MM-DD format.", "default": "2025-12-31" }, "awardTypeCodes": { "title": "Award type codes", "type": "array", "description": "USAspending award type codes." }, "keywords": { "title": "Keywords", "type": "array", "description": "Optional keyword filters." }, "recipientSearchText": { "title": "Recipient search text", "type": "array", "description": "Optional recipient name search strings." }, "fields": { "title": "Fields", "type": "array", "description": "USAspending result fields to request." }, "sort": { "title": "Sort field", "type": "string", "description": "USAspending sort field.", "default": "Award Amount" }, "order": { "title": "Sort order", "enum": [ "asc", "desc" ], "type": "string", "description": "asc or desc.", "default": "desc" }, "pageSize": { "title": "Page size", "minimum": 1, "maximum": 100, "type": "integer", "description": "Rows per USAspending page.", "default": 100 }, "maxPages": { "title": "Max pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum USAspending pages to request.", "default": 5 }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Hard cap for dataset rows.", "default": 500 }, "timeoutSecs": { "title": "Request timeout seconds", "minimum": 5, "maximum": 120, "type": "integer", "description": "Per-request timeout.", "default": 30 } } }, "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 } } } } } } } } } } ```