# Grant Fit Scout - Grants.gov Grant Finder (`nimble_flash/grant-fit-scout`) Actor Find Grants.gov funding opportunities and score grant fit, deadlines, eligibility clues, award details, workload, and source links. - **URL**: https://apify.com/nimble\_flash/grant-fit-scout.md - **Developed by:** [Craig](https://apify.com/nimble_flash) (community) - **Categories:** Lead generation, Automation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $100.00 / 1,000 qualified opportunities 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 ## Grant Fit Scout - Grants.gov Grant Finder Find federal grant opportunities and rank them by proposal fit, deadline urgency, eligibility clues, award details, and application workload. This Actor uses the official Grants.gov public API. It does not need a login, API key, proxy, or browser. ### Pricing Grant Fit Scout is priced per useful result: - Primary paid event: `qualified-opportunity` - Price: `$0.10` per scored Grants.gov opportunity - Store display: `$100.00 / 1,000 qualified opportunities` - Platform usage: included The default input returns up to 25 opportunities, so a normal default run is designed to stay around `$2.50` before any user-set max charge limit. You can lower `maxResults` for a smaller test run or raise it for a broader watchlist. ### Why Use It Most grant scrapers return raw listings. Grant Fit Scout adds proposal-facing signals a grant writer can use immediately: - `fitScore` from 0-100 - `fitReasons` explaining why an opportunity matched - `urgency` and `daysToClose` - `workload` estimate such as `moderate program proposal` or `heavy proposal lift` - `eligibilitySummary` - `awardSummary` - `contactSummary` - direct Grants.gov link It is built for grant writers, nonprofit operators, university teams, workforce programs, GovCon consultants, and business-development teams that want a short actionable list instead of a raw dump. Good fit searches include: - workforce development grants for nonprofit providers - cybersecurity education grants for community colleges - rural health workforce opportunities - STEM training grants for universities - technical-assistance grants for consultants building a client watchlist ### Example Input ```json { "keywords": ["workforce", "cybersecurity"], "idealApplicant": "nonprofit or small business that provides workforce training, cybersecurity education, or technical assistance in the United States", "statuses": ["posted", "forecasted"], "maxResults": 25, "includeDetails": true, "minimumDaysToClose": 14 } ```` ### Output Fields - `source` - `opportunityId` - `opportunityNumber` - `title` - `agency` - `agencyCode` - `status` - `openDate` - `closeDate` - `daysToClose` - `urgency` - `cfdaList` - `sourceUrl` - `matchedKeywords` - `fitScore` - `fitReasons` - `workload` - `eligibilitySummary` - `awardSummary` - `contactSummary` - `synopsis` - `rawDetailKeys` ### Suggested Uses - Build a weekly grant lead monitor. - Score opportunities for a specific nonprofit, university, or small business. - Export a CSV for a grant writer to review. - Feed qualified opportunities into a CRM or proposal tracker. - Watch forecasted grants before the full NOFO is released. ### What You Get Back Each result is one scored opportunity with the fields needed for first-pass pursuit decisions: - fit score and reasons - deadline and days remaining - agency and status - award clues when available - eligibility summary when available - contact summary when available - cleaned synopsis - direct Grants.gov source link ### Data Source Official Grants.gov REST API: - `search2` - `fetchOpportunity` The API guide states these endpoints do not require authentication. ### Local Verification ```powershell npm run build apify validate-schema apify run --purge ``` The latest paid launch test produced 28 scored opportunities for a workforce and cybersecurity search. Sample exports are available in `samples/grant_fit_scout_sample.csv` and `samples/grant_fit_scout_sample_top5.json`. ### Notes This Actor does not apply for grants, guarantee eligibility, or provide legal advice. It helps prioritize public opportunities for human review. # Actor input Schema ## `keywords` (type: `array`): Search terms to query in Grants.gov. Results are deduplicated across terms. ## `idealApplicant` (type: `string`): Plain-language profile used for fit scoring, e.g. nonprofit workforce training provider in Florida. ## `agencyCodes` (type: `array`): Optional Grants.gov agency codes such as NSF, HHS, DOE, USDA-NIFA. Leave empty for all agencies. ## `statuses` (type: `array`): Opportunity statuses to include. ## `maxResults` (type: `integer`): Maximum deduplicated opportunities to return. ## `includeDetails` (type: `boolean`): Fetch Grants.gov detail records for synopsis, eligibility, contacts, and extra dates when available. ## `minimumDaysToClose` (type: `integer`): Filter out posted opportunities closing sooner than this many days. Use 0 to keep all. ## Actor input object example ```json { "keywords": [ "workforce", "cybersecurity", "rural health" ], "idealApplicant": "small business, nonprofit, university, or local organization seeking practical grant opportunities", "agencyCodes": [], "statuses": [ "posted", "forecasted" ], "maxResults": 25, "includeDetails": true, "minimumDaysToClose": 7 } ``` # Actor output Schema ## `results` (type: `string`): Dataset rows with Grants.gov opportunity metadata, fit score, deadline, eligibility, award details, contact details, synopsis, and source links. # 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 = { "keywords": [ "workforce", "cybersecurity", "rural health" ] }; // Run the Actor and wait for it to finish const run = await client.actor("nimble_flash/grant-fit-scout").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 = { "keywords": [ "workforce", "cybersecurity", "rural health", ] } # Run the Actor and wait for it to finish run = client.actor("nimble_flash/grant-fit-scout").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 '{ "keywords": [ "workforce", "cybersecurity", "rural health" ] }' | apify call nimble_flash/grant-fit-scout --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nimble_flash/grant-fit-scout", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Grant Fit Scout - Grants.gov Grant Finder", "description": "Find Grants.gov funding opportunities and score grant fit, deadlines, eligibility clues, award details, workload, and source links.", "version": "0.1", "x-build-id": "M1NiMaXEWwBBmWLXl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nimble_flash~grant-fit-scout/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nimble_flash-grant-fit-scout", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nimble_flash~grant-fit-scout/runs": { "post": { "operationId": "runs-sync-nimble_flash-grant-fit-scout", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nimble_flash~grant-fit-scout/run-sync": { "post": { "operationId": "run-sync-nimble_flash-grant-fit-scout", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "minItems": 1, "type": "array", "description": "Search terms to query in Grants.gov. Results are deduplicated across terms.", "items": { "type": "string", "minLength": 2 } }, "idealApplicant": { "title": "Ideal applicant profile", "type": "string", "description": "Plain-language profile used for fit scoring, e.g. nonprofit workforce training provider in Florida.", "default": "small business, nonprofit, university, or local organization seeking practical grant opportunities" }, "agencyCodes": { "title": "Agency codes", "type": "array", "description": "Optional Grants.gov agency codes such as NSF, HHS, DOE, USDA-NIFA. Leave empty for all agencies.", "items": { "type": "string", "minLength": 2 }, "default": [] }, "statuses": { "title": "Opportunity statuses", "type": "array", "description": "Opportunity statuses to include.", "items": { "type": "string", "enum": [ "posted", "forecasted", "closed", "archived" ], "enumTitles": [ "Posted", "Forecasted", "Closed", "Archived" ] }, "default": [ "posted", "forecasted" ] }, "maxResults": { "title": "Maximum results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum deduplicated opportunities to return.", "default": 25 }, "includeDetails": { "title": "Fetch detail pages", "type": "boolean", "description": "Fetch Grants.gov detail records for synopsis, eligibility, contacts, and extra dates when available.", "default": true }, "minimumDaysToClose": { "title": "Minimum days to close", "minimum": 0, "maximum": 365, "type": "integer", "description": "Filter out posted opportunities closing sooner than this many days. Use 0 to keep all.", "default": 7 } } }, "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 } } } } } } } } } } ```