# Federal Grant Opportunities Finder (`agentictools/grant-opportunities-finder`) Actor Search open and forecasted US federal grant opportunities on Grants.gov by keyword. Deadlines, award ceilings, eligibility, and synopsis for each. - **URL**: https://apify.com/agentictools/grant-opportunities-finder.md - **Developed by:** [Ken Agland](https://apify.com/agentictools) (community) - **Categories:** Business, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 opportunity returneds 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 ## Federal Grant Opportunities Finder Search open and forecasted US federal grant opportunities on Grants.gov by keyword. Deadlines, award ceilings, eligibility, and synopsis for each. ### What it does - Keyword search across all federal grant opportunities listed on Grants.gov, using the official public API. - Filter by status: posted (open for applications now), forecasted (announced but not yet open), or closed. - Optionally enrich each opportunity with its full record: synopsis, award ceiling and floor, expected number of awards, and eligible applicant types. - Export clean, flat records to a dataset plus an aggregate summary in OUTPUT. ### Input | Field | Type | Description | |---|---|---| | `keyword` | string | Required. Search term matched against opportunity titles and descriptions (for example "climate resilience", "rural broadband"). | | `oppStatuses` | array | Statuses to include: `posted`, `forecasted`, `closed`. Default `["posted"]`. | | `includeDetails` | boolean | Fetch the full record for each opportunity. Adds one extra request per opportunity. Default `true`. | | `maxItems` | integer | How many opportunities to return (auto-paginated, max 200). Default 25. | Example input: ```json { "keyword": "climate resilience", "oppStatuses": ["posted", "forecasted"], "includeDetails": true, "maxItems": 25 } ```` ### Output Each dataset item is one grant opportunity: ```json { "id": "363078", "opportunityNumber": "MUSCAT-PAS-2026-APS-01", "title": "Muscat - Annual Program Statement (APS)- PD Small Grants Program", "agency": "U.S. Mission to Oman", "agencyCode": "DOS-OMA", "status": "posted", "openDate": "07/08/2026", "closeDate": "08/09/2026", "cfdaNumbers": ["19.040"], "awardCeiling": 50000, "awardFloor": 1000, "expectedAwards": null, "applicantTypes": [ "Individuals", "Others (see text field entitled \"Additional Information on Eligibility\" for clarification)" ], "synopsis": "The Public Diplomacy Section of U.S. Embassy Muscat announces an open competition to support projects that advance U.S. foreign policy priorities in Oman...", "url": "https://www.grants.gov/search-results-detail/363078" } ``` Detail fields (`awardCeiling`, `awardFloor`, `expectedAwards`, `applicantTypes`, `synopsis`) are `null` or empty when `includeDetails` is `false`, and `null` where the agency did not publish a value. The synopsis is plain text, truncated to 2000 characters. The run's default key-value store record `OUTPUT` holds a summary: total matches on Grants.gov, items returned, and a breakdown by status. ### Pricing Pay per result, plus standard Apify platform usage. ### Data source The official Grants.gov Search2 and fetchOpportunity APIs (api.grants.gov). No API key needed. Detail requests are throttled to one every 250 ms, and rate limit or server errors are retried with backoff. # Actor input Schema ## `keyword` (type: `string`): Search term matched against opportunity titles and descriptions on Grants.gov (for example "climate resilience", "rural broadband", "STEM education"). ## `oppStatuses` (type: `array`): Which opportunity statuses to include. Posted opportunities are open for applications now, forecasted ones are announced but not yet open, closed ones are past their deadline. ## `includeDetails` (type: `boolean`): Fetch the full record for each opportunity: synopsis, award ceiling and floor, expected number of awards, and eligible applicant types. Adds one extra request per opportunity. ## `maxItems` (type: `integer`): How many opportunities to return. Results are paginated automatically until this count is reached or there are no more matches. ## Actor input object example ```json { "keyword": "rural broadband", "oppStatuses": [ "posted" ], "includeDetails": true, "maxItems": 25 } ``` # 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 = { "keyword": "climate resilience", "oppStatuses": [ "posted" ], "includeDetails": true, "maxItems": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("agentictools/grant-opportunities-finder").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 = { "keyword": "climate resilience", "oppStatuses": ["posted"], "includeDetails": True, "maxItems": 25, } # Run the Actor and wait for it to finish run = client.actor("agentictools/grant-opportunities-finder").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 '{ "keyword": "climate resilience", "oppStatuses": [ "posted" ], "includeDetails": true, "maxItems": 25 }' | apify call agentictools/grant-opportunities-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=agentictools/grant-opportunities-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Federal Grant Opportunities Finder", "description": "Search open and forecasted US federal grant opportunities on Grants.gov by keyword. Deadlines, award ceilings, eligibility, and synopsis for each.", "version": "0.1", "x-build-id": "qAR9BConwS5Z83yUP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/agentictools~grant-opportunities-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-agentictools-grant-opportunities-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/agentictools~grant-opportunities-finder/runs": { "post": { "operationId": "runs-sync-agentictools-grant-opportunities-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/agentictools~grant-opportunities-finder/run-sync": { "post": { "operationId": "run-sync-agentictools-grant-opportunities-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyword" ], "properties": { "keyword": { "title": "Keyword", "type": "string", "description": "Search term matched against opportunity titles and descriptions on Grants.gov (for example \"climate resilience\", \"rural broadband\", \"STEM education\")." }, "oppStatuses": { "title": "Opportunity statuses", "type": "array", "description": "Which opportunity statuses to include. Posted opportunities are open for applications now, forecasted ones are announced but not yet open, closed ones are past their deadline.", "items": { "type": "string", "enum": [ "posted", "forecasted", "closed" ], "enumTitles": [ "Posted (open now)", "Forecasted", "Closed" ] }, "default": [ "posted" ] }, "includeDetails": { "title": "Include details", "type": "boolean", "description": "Fetch the full record for each opportunity: synopsis, award ceiling and floor, expected number of awards, and eligible applicant types. Adds one extra request per opportunity.", "default": true }, "maxItems": { "title": "Maximum items", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many opportunities to return. Results are paginated automatically until this count is reached or there are no more matches.", "default": 25 } } }, "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 } } } } } } } } } } ```