# USAspending.gov Scraper — Federal Spending & Contracts (`commanding_hotdog/usaspending-scraper`) Actor Scrape USAspending.gov federal spending — contracts, grants, loans. Search by keyword, agency, NAICS code. Free public API. Government spending analysis & procurement intelligence. - **URL**: https://apify.com/commanding\_hotdog/usaspending-scraper.md - **Developed by:** [qingwa](https://apify.com/commanding_hotdog) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 ## Usaspending Scraper 从 USAspending.gov 提取数据的 Apify Actor。 ### 描述 从 USAspending.gov 提取联邦支出和合同数据 ### 功能 - 多种数据提取模式 - 支持分页和批量处理 - 结构化 JSON 输出 ### 输入参数 | 参数 | 类型 | 说明 | |------|------|------| | `mode` | string | 模式: search, award_detail, spending_by_category | | `maxResults` | number | 最大结果数 (默认100) | | 其他参数 | - | searchQuery, awardId, agency, fiscalYear, maxResults | ### 使用示例 ```json { "mode": "search", "searchQuery": "example", "maxResults": 10 } ```` # Actor input Schema ## `keyword` (type: `string`): Search in award descriptions (e.g., 'artificial intelligence', 'cybersecurity', 'vaccine'). ## `recipientName` (type: `string`): Search by contractor/grantee name (e.g., 'Lockheed Martin', 'Boeing', 'MIT'). ## `agency` (type: `string`): Filter by agency name (e.g., 'Department of Defense', 'National Science Foundation'). ## `agencyType` (type: `string`): Is the agency the one awarding or funding the money? ## `awardType` (type: `string`): Type of government spending. ## `fiscalYear` (type: `string`): US fiscal year (Oct-Sep). E.g., 2025 = Oct 2024 - Sep 2025. Leave empty for current FY. ## `startDate` (type: `string`): Override fiscal year with custom date range (YYYY-MM-DD). ## `endDate` (type: `string`): Override fiscal year with custom date range (YYYY-MM-DD). ## `naicsCode` (type: `string`): Filter by industry (e.g., 541512=Computer Systems Design, 541715=R\&D). ## `stateCode` (type: `string`): Place of performance state (e.g., CA, VA, TX). Two-letter code. ## `sort` (type: `string`): Sort results by this field. ## `order` (type: `string`): Sort results by this field. ## `maxResults` (type: `integer`): Maximum number of awards to extract. ## Actor input object example ```json { "fiscalYear": "2025", "maxResults": 100 } ``` # 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 = { "fiscalYear": "2025" }; // Run the Actor and wait for it to finish const run = await client.actor("commanding_hotdog/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 = { "fiscalYear": "2025" } # Run the Actor and wait for it to finish run = client.actor("commanding_hotdog/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 '{ "fiscalYear": "2025" }' | apify call commanding_hotdog/usaspending-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=commanding_hotdog/usaspending-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "USAspending.gov Scraper — Federal Spending & Contracts", "description": "Scrape USAspending.gov federal spending — contracts, grants, loans. Search by keyword, agency, NAICS code. Free public API. Government spending analysis & procurement intelligence.", "version": "1.0", "x-build-id": "HfrSIkrkJzLQUoUgV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/commanding_hotdog~usaspending-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-commanding_hotdog-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/commanding_hotdog~usaspending-scraper/runs": { "post": { "operationId": "runs-sync-commanding_hotdog-usaspending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/commanding_hotdog~usaspending-scraper/run-sync": { "post": { "operationId": "run-sync-commanding_hotdog-usaspending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "Search Keyword", "type": "string", "description": "Search in award descriptions (e.g., 'artificial intelligence', 'cybersecurity', 'vaccine')." }, "recipientName": { "title": "Recipient / Company Name", "type": "string", "description": "Search by contractor/grantee name (e.g., 'Lockheed Martin', 'Boeing', 'MIT')." }, "agency": { "title": "Federal Agency", "type": "string", "description": "Filter by agency name (e.g., 'Department of Defense', 'National Science Foundation')." }, "agencyType": { "title": "Agency Role", "enum": [ "awarding", "funding" ], "type": "string", "description": "Is the agency the one awarding or funding the money?" }, "awardType": { "title": "Award Type", "enum": [ "contracts", "grants", "loans", "direct_payments", "other", "all" ], "type": "string", "description": "Type of government spending." }, "fiscalYear": { "title": "Fiscal Year", "type": "string", "description": "US fiscal year (Oct-Sep). E.g., 2025 = Oct 2024 - Sep 2025. Leave empty for current FY." }, "startDate": { "title": "Custom Start Date", "type": "string", "description": "Override fiscal year with custom date range (YYYY-MM-DD)." }, "endDate": { "title": "Custom End Date", "type": "string", "description": "Override fiscal year with custom date range (YYYY-MM-DD)." }, "naicsCode": { "title": "NAICS Industry Code", "type": "string", "description": "Filter by industry (e.g., 541512=Computer Systems Design, 541715=R&D)." }, "stateCode": { "title": "State Code", "type": "string", "description": "Place of performance state (e.g., CA, VA, TX). Two-letter code." }, "sort": { "title": "Sort By", "enum": [ "Award Amount", "Start Date", "End Date", "Awarding Agency", "Recipient Name" ], "type": "string", "description": "Sort results by this field." }, "order": { "title": "Sort Order", "enum": [ "desc", "asc" ], "type": "string", "description": "Sort results by this field." }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of awards to extract.", "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 } } } } } } } } } } ```