# Federal Contract Awards Feed (`carranza-tech/federal-contract-awards-feed`) Actor Fresh, normalized US federal contract awards from USASpending.gov. Filter by date range, recipient state, award type, minimum amount, and recipient keyword. One unified schema. - **URL**: https://apify.com/carranza-tech/federal-contract-awards-feed.md - **Developed by:** [Alfredo Carranza](https://apify.com/carranza-tech) (community) - **Categories:** Lead generation, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 results 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Federal Contract Awards Feed Fresh, normalized **US federal contract awards** pulled directly from the official [USASpending.gov](https://www.usaspending.gov) API. Built for GovCon consultants, contractors, market researchers, and sales teams who need to track federal spending without scraping or manual portal digging. ### What you get One clean, normalized record per federal contract award: | Field | Description | |-------|-------------| | `award_id` | Federal award identifier (PIID) | | `recipient_name` | Company/organization that won the award | | `award_amount` | Total award value (USD) | | `awarding_agency` | Federal agency that issued the award | | `award_type` | Contract type code (A/B/C/D) where available | | `start_date` | Award period-of-performance start | | `recipient_state` | Recipient location (US state) | | `source_url` | Direct link to the award on USASpending.gov | ### Filters (input) - **since / until** — date range for award actions (`YYYY-MM-DD`) - **states** — recipient US state codes (e.g. `["OR","CA"]`) — target contractors by location - **awardTypes** — contract type codes (default `A,B,C,D`) - **minAmount** — minimum award value (e.g. `1000000` for $1M+ deals) - **keyword** — filter by recipient name substring - **maxResults** — cap total records ### Example input ```json { "states": ["OR"], "since": "2026-06-01", "minAmount": 1000000, "maxResults": 500 } ```` ### Data source & notes - 100% official public data from **USASpending.gov** — no scraping, no login, no proxies. - Award records reflect the **total award value including lifetime modifications**; the `start_date` may predate your date filter because the API filters on *action date*, not start date. Amounts are the authoritative federal figures. - Data is public record; use responsibly. ### Pricing Pay-per-result. You pay only for the normalized award records delivered — no subscription, no fee just to run. # Actor input Schema ## `since` (type: `string`): Only return awards whose action period starts on or after this date. ## `until` (type: `string`): Only return awards whose action period ends on or before this date. ## `states` (type: `array`): Optional list of 2-letter US state codes to filter recipient location (e.g. \['OR','WA']). Leave empty for nationwide. ## `awardTypes` (type: `array`): USASpending award-type codes. Default A,B,C,D = contracts. ## `minAmount` (type: `integer`): Only return awards at or above this amount. ## `keyword` (type: `string`): Case-insensitive substring match against the recipient (company) name. ## `maxResults` (type: `integer`): Cap on how many normalized awards to return. ## Actor input object example ```json { "since": "2026-06-01", "until": "2026-07-25", "states": [ "OR", "WA" ], "awardTypes": [ "A", "B", "C", "D" ], "minAmount": 1000000, "keyword": "construction", "maxResults": 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("carranza-tech/federal-contract-awards-feed").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("carranza-tech/federal-contract-awards-feed").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 carranza-tech/federal-contract-awards-feed --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=carranza-tech/federal-contract-awards-feed", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Federal Contract Awards Feed", "description": "Fresh, normalized US federal contract awards from USASpending.gov. Filter by date range, recipient state, award type, minimum amount, and recipient keyword. One unified schema.", "version": "0.1", "x-build-id": "MthUnWjRBIt0voTuP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/carranza-tech~federal-contract-awards-feed/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-carranza-tech-federal-contract-awards-feed", "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/carranza-tech~federal-contract-awards-feed/runs": { "post": { "operationId": "runs-sync-carranza-tech-federal-contract-awards-feed", "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/carranza-tech~federal-contract-awards-feed/run-sync": { "post": { "operationId": "run-sync-carranza-tech-federal-contract-awards-feed", "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": { "since": { "title": "Start date (YYYY-MM-DD)", "type": "string", "description": "Only return awards whose action period starts on or after this date.", "default": "2026-06-01" }, "until": { "title": "End date (YYYY-MM-DD)", "type": "string", "description": "Only return awards whose action period ends on or before this date.", "default": "2026-07-25" }, "states": { "title": "Recipient states", "type": "array", "description": "Optional list of 2-letter US state codes to filter recipient location (e.g. ['OR','WA']). Leave empty for nationwide.", "items": { "type": "string" } }, "awardTypes": { "title": "Award type codes", "type": "array", "description": "USASpending award-type codes. Default A,B,C,D = contracts.", "default": [ "A", "B", "C", "D" ], "items": { "type": "string" } }, "minAmount": { "title": "Minimum award amount (USD)", "minimum": 0, "type": "integer", "description": "Only return awards at or above this amount." }, "keyword": { "title": "Recipient name keyword", "type": "string", "description": "Case-insensitive substring match against the recipient (company) name." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Cap on how many normalized awards to return.", "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 } } } } } } } } } } ```