# USAspending Federal Spending Crawler (`jungle_synthesizer/usaspending-crawler`) Actor Crawl federal spending data from USAspending.gov. Extract contracts, grants, loans, and direct payments with award IDs, recipients, agencies, amounts, and performance periods. Filter by agency, award type, state, NAICS code, set-aside type, and fiscal year. - **URL**: https://apify.com/jungle\_synthesizer/usaspending-crawler.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Lead generation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 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 Federal Contracts & Grants Crawler Extract federal spending data from [USAspending.gov](https://www.usaspending.gov/) — the U.S. government's official source for tracking $6T+ in federal awards. Pull contracts, grants, loans, and direct payments with award IDs, recipients, agencies, dollar amounts, and performance periods. Filter by awarding agency, award type, state, NAICS industry code, set-aside type, and fiscal year. ### USAspending Crawler Features - Search by keyword across award descriptions and recipient names - Filter by award type: contracts (BPA calls, purchase orders, delivery orders, definitive contracts), grants (block, formula, project, cooperative agreement), loans, and direct payments - Filter by any of 24 major federal agencies, from the Department of Defense to the Small Business Administration - Narrow results by state, NAICS industry code, small business set-aside type, and minimum dollar amount - Covers fiscal years 2017 through 2026 - Reads the USAspending structured JSON API directly — no HTML parsing, no browser required - No proxy needed — USAspending is a public government API with no authentication or anti-bot measures - Pay-per-event pricing at roughly $0.50 per 1,000 records ### Who Uses Federal Spending Data and Why? - **Government contractors** — identify awarded contracts by agency, NAICS code, and set-aside type to find opportunities and track competitors - **Grant researchers** — pull grant award records filtered by state, agency, and fiscal year for funding analysis - **Procurement analysts** — monitor federal spending patterns across agencies, industries, and geographies - **B2B sales teams** — build prospecting lists of companies receiving federal awards, with recipient names and award amounts - **Policy researchers** — analyze government spending trends across fiscal years, agencies, and award types - **Journalists and watchdog organizations** — track where federal dollars go, by recipient, amount, and location ### How USAspending Crawler Works 1. You configure search filters: keywords, award type, agency, state, NAICS code, set-aside type, fiscal year, and minimum award amount. 2. The crawler queries the USAspending.gov REST API, paginating through results at 100 records per page with a 150ms courtesy delay. 3. Each award record is transformed into a clean, flat output object with all key fields — ready for export to JSON, CSV, or the Apify API. ### Input #### Basic: Pull all FY 2025 contracts ```json { "awardType": ["A", "B", "C", "D"], "fiscalYear": "2025", "maxItems": 100 } ```` #### Search for cybersecurity contracts at the Department of Defense ```json { "searchQuery": "cybersecurity", "awardType": ["A", "B", "C", "D"], "awardingAgency": "Department of Defense", "fiscalYear": "2025", "maxItems": 50 } ``` #### Grants in California above $1M ```json { "awardType": ["02", "03", "04", "05"], "states": ["CA"], "minAwardAmount": 1000000, "fiscalYear": "2025", "maxItems": 200 } ``` #### Small business set-aside contracts by NAICS code ```json { "awardType": ["D"], "naicsCode": "541512", "setAsideType": "SBA", "fiscalYear": "2025", "maxItems": 100 } ``` #### Input Parameters | Field | Type | Default | Description | |-------|------|---------|-------------| | searchQuery | string | `""` | Full-text search across award descriptions and recipient names. | | awardType | string\[] | all types | Award type codes. Contracts: A (BPA Call), B (Purchase Order), C (Delivery Order), D (Definitive Contract). Grants: 02-05. Loans: 07-08. Direct payments: 09, 11. Other: 06, 10. | | awardingAgency | string | `""` | Filter by federal agency (e.g. "Department of Defense", "Department of Energy"). | | recipientName | string | `""` | Search by recipient company or organization name. Supports partial match. | | states | string\[] | all states | Filter by place of performance state (two-letter codes). | | naicsCode | string | `""` | NAICS industry code (e.g. 541511 for Programming, 541512 for Systems Design, 541330 for Engineering). # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `searchQuery` (type: `string`): Full-text search across award descriptions and recipient names. ## `awardType` (type: `array`): Filter by award type. Select one or more. Defaults to all. ## `awardingAgency` (type: `string`): Filter by the federal agency that awarded the contract/grant. ## `recipientName` (type: `string`): Search by recipient (company/organization) name. Supports partial match. ## `states` (type: `array`): Filter by state where work is performed. Defaults to all. ## `naicsCode` (type: `string`): Filter by NAICS industry code. Common: 541511 (Programming), 541512 (Systems Design), 541330 (Engineering), 236220 (Construction), 561320 (Staffing). ## `setAsideType` (type: `string`): Filter by small business set-aside type. ## `fiscalYear` (type: `string`): Filter by federal fiscal year (Oct 1 - Sep 30). Defaults to FY 2025. ## `minAwardAmount` (type: `number`): Filter for awards at or above this dollar amount. ## `maxItems` (type: `integer`): Maximum number of award records to return. ## `proxyConfiguration` (type: `object`): Select proxies. USAspending is a government API and typically does not require proxies. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "awardType": [], "states": [], "fiscalYear": "2025", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchQuery": "", "awardType": [], "awardingAgency": "", "recipientName": "", "states": [], "naicsCode": "", "setAsideType": "", "fiscalYear": "2025", "minAwardAmount": 0, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/usaspending-crawler").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchQuery": "", "awardType": [], "awardingAgency": "", "recipientName": "", "states": [], "naicsCode": "", "setAsideType": "", "fiscalYear": "2025", "minAwardAmount": 0, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/usaspending-crawler").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "searchQuery": "", "awardType": [], "awardingAgency": "", "recipientName": "", "states": [], "naicsCode": "", "setAsideType": "", "fiscalYear": "2025", "minAwardAmount": 0, "maxItems": 100, "proxyConfiguration": { "useApifyProxy": false } }' | apify call jungle_synthesizer/usaspending-crawler --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/usaspending-crawler", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USAspending Federal Spending Crawler", "description": "Crawl federal spending data from USAspending.gov. Extract contracts, grants, loans, and direct payments with award IDs, recipients, agencies, amounts, and performance periods. Filter by agency, award type, state, NAICS code, set-aside type, and fiscal year.", "version": "1.0", "x-build-id": "ZamAAQkenR7sGFix2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~usaspending-crawler/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-usaspending-crawler", "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/jungle_synthesizer~usaspending-crawler/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-usaspending-crawler", "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/jungle_synthesizer~usaspending-crawler/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-usaspending-crawler", "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": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "searchQuery": { "title": "Search Keywords", "type": "string", "description": "Full-text search across award descriptions and recipient names." }, "awardType": { "title": "Award Type", "type": "array", "description": "Filter by award type. Select one or more. Defaults to all.", "items": { "type": "string", "enum": [ "A", "B", "C", "D", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11" ], "enumTitles": [ "BPA Call (A)", "Purchase Order (B)", "Delivery Order (C)", "Definitive Contract (D)", "Block Grant (02)", "Formula Grant (03)", "Project Grant (04)", "Cooperative Agreement (05)", "Direct Payment for Specified Use (06)", "Direct Payment with Unrestricted Use (07)", "Guaranteed/Insured Loan (08)", "Direct Loan (09)", "Insurance (10)", "Other Financial Assistance (11)" ] } }, "awardingAgency": { "title": "Awarding Agency", "enum": [ "", "Department of Agriculture", "Department of Commerce", "Department of Defense", "Department of Education", "Department of Energy", "Department of Health and Human Services", "Department of Homeland Security", "Department of Housing and Urban Development", "Department of Justice", "Department of Labor", "Department of State", "Department of the Interior", "Department of the Treasury", "Department of Transportation", "Department of Veterans Affairs", "Environmental Protection Agency", "General Services Administration", "National Aeronautics and Space Administration", "National Science Foundation", "Office of Personnel Management", "Small Business Administration", "Social Security Administration", "Agency for International Development" ], "type": "string", "description": "Filter by the federal agency that awarded the contract/grant." }, "recipientName": { "title": "Recipient Name", "type": "string", "description": "Search by recipient (company/organization) name. Supports partial match." }, "states": { "title": "Place of Performance State", "type": "array", "description": "Filter by state where work is performed. Defaults to all.", "items": { "type": "string", "enum": [ "AL", "AK", "AZ", "AR", "CA", "CO", "CT", "DE", "DC", "FL", "GA", "HI", "ID", "IL", "IN", "IA", "KS", "KY", "LA", "ME", "MD", "MA", "MI", "MN", "MS", "MO", "MT", "NE", "NV", "NH", "NJ", "NM", "NY", "NC", "ND", "OH", "OK", "OR", "PA", "RI", "SC", "SD", "TN", "TX", "UT", "VT", "VA", "WA", "WV", "WI", "WY" ], "enumTitles": [ "Alabama", "Alaska", "Arizona", "Arkansas", "California", "Colorado", "Connecticut", "Delaware", "District of Columbia", "Florida", "Georgia", "Hawaii", "Idaho", "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana", "Maine", "Maryland", "Massachusetts", "Michigan", "Minnesota", "Mississippi", "Missouri", "Montana", "Nebraska", "Nevada", "New Hampshire", "New Jersey", "New Mexico", "New York", "North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon", "Pennsylvania", "Rhode Island", "South Carolina", "South Dakota", "Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Washington", "West Virginia", "Wisconsin", "Wyoming" ] } }, "naicsCode": { "title": "NAICS Code", "enum": [ "", "541511", "541512", "541330", "541519", "541611", "541690", "541715", "236220", "561320", "561612", "238210", "541614", "561210", "524114", "541990", "621111", "339112", "334511", "325411", "336411" ], "type": "string", "description": "Filter by NAICS industry code. Common: 541511 (Programming), 541512 (Systems Design), 541330 (Engineering), 236220 (Construction), 561320 (Staffing)." }, "setAsideType": { "title": "Set-Aside Type", "enum": [ "", "SBA", "SBP", "8A", "8AN", "HZC", "HZS", "SDVOSBC", "SDVOSBS", "WOSB", "WOSBP", "EDWOSB", "EDWOSBP", "ISBEE", "VSA", "VSB" ], "type": "string", "description": "Filter by small business set-aside type." }, "fiscalYear": { "title": "Fiscal Year", "enum": [ "", "2026", "2025", "2024", "2023", "2022", "2021", "2020", "2019", "2018", "2017" ], "type": "string", "description": "Filter by federal fiscal year (Oct 1 - Sep 30). Defaults to FY 2025." }, "minAwardAmount": { "title": "Minimum Award Amount ($)", "type": "number", "description": "Filter for awards at or above this dollar amount." }, "maxItems": { "title": "Max Items", "minimum": 1, "type": "integer", "description": "Maximum number of award records to return.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies. USAspending is a government API and typically does not require proxies." } } }, "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 } } } } } } } } } } ```