# Grants.gov Scraper API - Federal Grant Opportunities & Leads (`pink_comic/grants-gov-opportunities`) Actor Search agency-published Grants.gov opportunity metadata by keyword, agency, CFDA, status, funding, eligibility, and dates. Returns source-linked synopsis, funding, contacts, and explicit evidence limits. - **URL**: https://apify.com/pink\_comic/grants-gov-opportunities.md - **Developed by:** [Ava Torres](https://apify.com/pink_comic) (community) - **Categories:** Business, Lead generation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 grants.gov federal grant opportunities scraper api evidence items 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 ## Grants.gov Federal Grant Opportunities Scraper API Search the official, public Grants.gov API for federal funding notices and return buyer-ready, source-linked opportunity evidence. Use it for grant prospecting, funding research, nonprofit pipelines, university research alerts, and federal opportunity monitoring. ### What it returns - opportunity ID/number, title, agency, status, posted/close/archive dates - synopsis and applicant eligibility descriptions - funding instruments/categories, award ceiling/floor, estimated funding, expected awards - Assistance Listing / CFDA numbers and titles - agency contact details and official Grants.gov/agency URLs - retrieval timestamp, exact query, source hit count, total result bound, and evidence caveats - explicit `NO_MATCH`, `INVALID_INPUT`, or `SOURCE_UNAVAILABLE` records instead of silent empty runs ### Fast default The default searches posted opportunities matching `artificial intelligence` and returns at most 5 paid rows: ```json {"keyword":"artificial intelligence","status":"posted","maxResults":5} ```` Maximum first-run charge: **$0.0101** ($0.0001 start + up to 5 × $0.002 dataset items). Apify's maximum-total-charge setting can reduce the result cap before source work. ### Examples Exact opportunity: ```json {"opportunityNumber":"PD-19-127Y","status":"posted","maxResults":1} ``` Small-business science opportunities: ```json {"keyword":"artificial intelligence","fundingCategory":"ST","eligibility":"23","status":"posted","maxResults":10} ``` Agency and Assistance Listing search: ```json {"agency":"NSF","assistanceListing":"47.075","status":"posted","maxResults":5} ``` Standalone: ```bash go run ./cmd/grants-gov-opportunities --keyword "artificial intelligence" --status posted --max-results 5 ``` Dates use `MM/DD/YYYY`. Funding, eligibility, and agency filters use Grants.gov codes. `maxResults` is a total response cap, not a per-page cap. ### Evidence boundaries Records are agency-published opportunity metadata exposed by Grants.gov. They are **not** proof that a notice remains open, a particular applicant is eligible, appropriated funding remains available, an application will receive an award, or that this bounded search is complete. Dates, amounts, contacts, attachments, eligibility, and status can be amended, archived, delayed, corrected, or superseded. Always review the current linked notice and agency instructions before acting. This product does not provide legal or grant advice and is not endorsed by Grants.gov or a publishing agency. Detail enrichment is best effort: when a detail request is transiently unavailable, the actor preserves the valid search record rather than discarding it. The official search/detail APIs are queried without credentials, with bounded retries for transient failures. ### Pricing Pay per event: **$0.0001 per run start + $0.002 per dataset item**. No subscription is required by this actor; platform usage and configured charge limits still apply. # Actor input Schema ## `keyword` (type: `string`): Full-text opportunity keyword. ## `opportunityNumber` (type: `string`): Optional opportunity number filter or result-control setting. See the README for source semantics and examples. ## `agency` (type: `string`): Grants.gov agency/subagency code, such as NSF or HHS-NIH11. ## `assistanceListing` (type: `string`): Optional assistance listing / cfda filter or result-control setting. See the README for source semantics and examples. ## `status` (type: `string`): Optional status filter or result-control setting. See the README for source semantics and examples. ## `fundingInstrument` (type: `string`): For example G (Grant) or CA (Cooperative Agreement). ## `fundingCategory` (type: `string`): For example ST or HL. ## `eligibility` (type: `string`): Grants.gov applicant eligibility code, such as 23 for small businesses. ## `postedFrom` (type: `string`): MM/DD/YYYY ## `postedTo` (type: `string`): MM/DD/YYYY ## `closeFrom` (type: `string`): MM/DD/YYYY ## `closeTo` (type: `string`): MM/DD/YYYY ## `sort` (type: `string`): Grants.gov sortBy expression. ## `maxResults` (type: `integer`): Total paid dataset-item cap. Default is at most 5 rows / $0.0101 including start. ## Actor input object example ```json { "keyword": "artificial intelligence", "status": "posted", "maxResults": 5 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keyword": "artificial intelligence", "maxResults": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("pink_comic/grants-gov-opportunities").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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": "artificial intelligence", "maxResults": 5, } # Run the Actor and wait for it to finish run = client.actor("pink_comic/grants-gov-opportunities").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": "artificial intelligence", "maxResults": 5 }' | apify call pink_comic/grants-gov-opportunities --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pink_comic/grants-gov-opportunities", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Grants.gov Scraper API - Federal Grant Opportunities & Leads", "description": "Search agency-published Grants.gov opportunity metadata by keyword, agency, CFDA, status, funding, eligibility, and dates. Returns source-linked synopsis, funding, contacts, and explicit evidence limits.", "version": "0.1", "x-build-id": "U23KMhNuCxsmeXEGG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pink_comic~grants-gov-opportunities/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pink_comic-grants-gov-opportunities", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/pink_comic~grants-gov-opportunities/runs": { "post": { "operationId": "runs-sync-pink_comic-grants-gov-opportunities", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/pink_comic~grants-gov-opportunities/run-sync": { "post": { "operationId": "run-sync-pink_comic-grants-gov-opportunities", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Keyword", "type": "string", "description": "Full-text opportunity keyword.", "default": "artificial intelligence" }, "opportunityNumber": { "title": "Opportunity number", "type": "string", "description": "Optional opportunity number filter or result-control setting. See the README for source semantics and examples." }, "agency": { "title": "Agency code", "type": "string", "description": "Grants.gov agency/subagency code, such as NSF or HHS-NIH11." }, "assistanceListing": { "title": "Assistance listing / CFDA", "type": "string", "description": "Optional assistance listing / cfda filter or result-control setting. See the README for source semantics and examples." }, "status": { "title": "Status", "enum": [ "posted", "forecasted", "closed", "archived", "" ], "type": "string", "description": "Optional status filter or result-control setting. See the README for source semantics and examples.", "default": "posted" }, "fundingInstrument": { "title": "Funding instrument code", "type": "string", "description": "For example G (Grant) or CA (Cooperative Agreement)." }, "fundingCategory": { "title": "Funding category code", "type": "string", "description": "For example ST or HL." }, "eligibility": { "title": "Eligibility code", "type": "string", "description": "Grants.gov applicant eligibility code, such as 23 for small businesses." }, "postedFrom": { "title": "Posted from", "type": "string", "description": "MM/DD/YYYY" }, "postedTo": { "title": "Posted to", "type": "string", "description": "MM/DD/YYYY" }, "closeFrom": { "title": "Close from", "type": "string", "description": "MM/DD/YYYY" }, "closeTo": { "title": "Close to", "type": "string", "description": "MM/DD/YYYY" }, "sort": { "title": "Sort", "type": "string", "description": "Grants.gov sortBy expression." }, "maxResults": { "title": "Maximum total results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Total paid dataset-item cap. Default is at most 5 rows / $0.0101 including start.", "default": 5 } } }, "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 } } } } } } } } } } ```