# Grants.gov Opportunity Matcher (`noetic_quahog/grants-gov-opportunity-matcher`) Actor Find matching US federal grant opportunities from Grants.gov by keyword, agency, status, and date window. - **URL**: https://apify.com/noetic\_quahog/grants-gov-opportunity-matcher.md - **Developed by:** [Noetic Data](https://apify.com/noetic_quahog) (community) - **Categories:** Business, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Grants.gov Opportunity Matcher Find matching US federal grant opportunities from Grants.gov by keyword, agency, status, and date window. This Actor uses public structured data from Grants.gov. It normalizes source-specific records into a consistent Apify dataset for monitoring, lead generation, research, and scheduled automation. ### Who It Helps Grant writers, nonprofits, universities, startups, and consultants that need clean grant opportunity feeds. ### Input ```json { "searchTerms": [ "software", "cybersecurity" ], "maxItems": 25, "includeRaw": false } ```` #### Fields - `searchTerms` - Required. One or more keywords or phrases to match. - `regions` - Optional. Source-specific region filters. - `dateFrom` - Optional. ISO date in `YYYY-MM-DD`. Defaults to 30 days before the run. - `dateTo` - Optional. ISO date in `YYYY-MM-DD`. - `maxItems` - Optional. Defaults to `100`; capped at `1000`. - `includeRaw` - Optional. Include the raw source payload in `extra.raw`. ### Output Each dataset item includes stable top-level fields: ```json { "id": "source-id", "title": "Record title", "description": "Short source summary", "sourceName": "Grants.gov", "sourceUrl": "https://example.gov/detail", "publishedAt": "2026-07-06T00:00:00.000Z", "location": "Best available location", "category": "Best available category", "value": null, "contactUrl": "https://example.gov/detail", "scrapedAt": "2026-07-06T05:00:00.000Z", "extra": { "matchedSearchTerms": ["software"] } } ``` Source-specific fields are kept under `extra` so downstream automations can rely on the stable top-level schema. ### Notes This Actor does not bypass logins, CAPTCHAs, paywalls, or access controls. It is built for public-data monitoring and exports only records returned by the source service. ### Monetization Launch pricing is pay per result using `apify-default-dataset-item`: USD 3.00 per 1,000 normalized records, plus a tiny Actor-start event. The implementation uses public APIs and no browser automation to keep platform cost low. # Actor input Schema ## `searchTerms` (type: `array`): Keywords or exact phrases to match in the source data. ## `regions` (type: `array`): Optional source-specific region filters. Use state codes, country names, local authority names, or source-native region text depending on the source. ## `dateFrom` (type: `string`): Optional ISO date in YYYY-MM-DD format. Defaults to 30 days before the run date. ## `dateTo` (type: `string`): Optional ISO date in YYYY-MM-DD format. Defaults to the run date where the source requires an end date. ## `maxItems` (type: `integer`): Maximum number of normalized records to save. ## `includeRaw` (type: `boolean`): Include the source record under extra.raw. Useful for debugging, but larger and noisier. ## `proxyConfiguration` (type: `object`): Accepted for Apify UI compatibility. This Actor uses public APIs and does not need a proxy. ## Actor input object example ```json { "searchTerms": [ "software", "cybersecurity" ], "regions": [], "maxItems": 100, "includeRaw": false, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `records` (type: `string`): No description ## `runSummary` (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 = { "searchTerms": [ "software", "cybersecurity" ], "regions": [] }; // Run the Actor and wait for it to finish const run = await client.actor("noetic_quahog/grants-gov-opportunity-matcher").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 = { "searchTerms": [ "software", "cybersecurity", ], "regions": [], } # Run the Actor and wait for it to finish run = client.actor("noetic_quahog/grants-gov-opportunity-matcher").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 '{ "searchTerms": [ "software", "cybersecurity" ], "regions": [] }' | apify call noetic_quahog/grants-gov-opportunity-matcher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=noetic_quahog/grants-gov-opportunity-matcher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Grants.gov Opportunity Matcher", "description": "Find matching US federal grant opportunities from Grants.gov by keyword, agency, status, and date window.", "version": "0.1", "x-build-id": "GBXuRGtj0w0GWnPea" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/noetic_quahog~grants-gov-opportunity-matcher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-noetic_quahog-grants-gov-opportunity-matcher", "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/noetic_quahog~grants-gov-opportunity-matcher/runs": { "post": { "operationId": "runs-sync-noetic_quahog-grants-gov-opportunity-matcher", "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/noetic_quahog~grants-gov-opportunity-matcher/run-sync": { "post": { "operationId": "run-sync-noetic_quahog-grants-gov-opportunity-matcher", "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": [ "searchTerms" ], "properties": { "searchTerms": { "title": "Search terms", "minItems": 1, "type": "array", "description": "Keywords or exact phrases to match in the source data.", "items": { "type": "string" } }, "regions": { "title": "Regions", "type": "array", "description": "Optional source-specific region filters. Use state codes, country names, local authority names, or source-native region text depending on the source.", "items": { "type": "string" } }, "dateFrom": { "title": "Date from", "type": "string", "description": "Optional ISO date in YYYY-MM-DD format. Defaults to 30 days before the run date." }, "dateTo": { "title": "Date to", "type": "string", "description": "Optional ISO date in YYYY-MM-DD format. Defaults to the run date where the source requires an end date." }, "maxItems": { "title": "Maximum results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of normalized records to save.", "default": 100 }, "includeRaw": { "title": "Include raw source payload", "type": "boolean", "description": "Include the source record under extra.raw. Useful for debugging, but larger and noisier.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Accepted for Apify UI compatibility. This Actor uses public APIs and does not need a proxy.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```