# Grant Opportunities Search Scraper (`caffein.dev/grants-actor`) Actor Search grant opportunities by keyword across NIH RePORTER, Grants.gov, and Duke Research Funding. Returns a unified dataset with titles, sponsors, deadlines, amounts, eligibility, and source URLs. Great for grant discovery, dashboards, and automation. - **URL**: https://apify.com/caffein.dev/grants-actor.md - **Developed by:** [Caffein Dev](https://apify.com/caffein.dev) (community) - **Categories:** Automation, Lead generation, Other - **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 basic results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Grants Scraper API (Duke + NIH + Grants.gov) Search and extract **grant opportunities and funding announcements** from multiple sources and return them in a **single unified JSON output schema**. Sources currently supported: - **Duke Research Funding** - **NIH RePORTER** - **Grants.gov** Built for **grant discovery**, internal dashboards, automation workflows, and downstream ranking/LLM pipelines. --- ### 🔎 What This Actor Provides For every run, this Actor searches by keyword and outputs normalized records with consistent fields across sources: - Title - Sponsor / agency - Posted date / deadlines (when available) - Funding amount (when available) - Eligibility / tags / topics (when available) - Source URL + stable source id ✅ Unified schema across all sources ✅ Supports selecting which sources to run ✅ Best-effort enrichment (some fields are source-specific) --- ### ⚙️ Input Parameters #### Example Input ```json { "keyword": "cancer", "sources": ["duke", "nih", "grants.gov"], "maxCountPerSource": 50 } ```` #### Input Fields | Field | Type | Required | Default | Description | | ------------------- | -------: | :------: | ------: | ----------------------------------------------------------- | | `keyword` | string | Yes | - | Keyword to search across selected sources | | `sources` | string\[] | No | all | Which sources to scrape: `duke`, `nih`, `grants.gov` | | `maxCountPerSource` | number | No | 50 | Maximum number of records to return **per selected source** | #### Important: output size If you select multiple sources, the Actor may return up to: `(# of selected sources) × maxCountPerSource` Example: if `sources=["duke","nih","grants.gov"]` and `maxCountPerSource=50`, you may receive **up to 150 records**. *** ### 💵 Pricing (Pay per event) This Actor uses **Pay per event** and charges **per dataset item pushed**. - **NIH + Grants.gov** records use event: `basic_result` (cheaper) - **Duke** records use event: `duke_result` (more expensive) Notes: - You will be charged based on the **number of records saved to the dataset**, not just the number of pages visited. - If your **max charge** is reached, the Actor exits early. - Increasing `maxCountPerSource` increases the *potential* number of charged results. *** ### 📤 Output Schema (Unified) Each dataset item is a unified record (fields may be `null` if not available from that source). #### Example Output Record ```json { "source": "grants.gov", "sourceId": "PAR-26-107", "url": "https://simpler.grants.gov/opportunity/dd8d7a29-5191-4919-95ce-f7ac57922cff", "scrapedAt": "2026-03-03T22:42:37.165Z", "title": "Title Discovery of the Genetic Basis of Childhood Cancers...", "description": "As part of the Gabriella Miller Kids First...", "sponsorName": "National Institutes of Health", "amount": null, "amountMin": null, "amountMax": null, "amountCurrency": "USD", "status": "Forecasted", "postedDate": "May 19, 2026", "deadlineSponsor": "July 19, 2026", "startDate": "August 15, 2026", "topics": null, "eligibility": ["Nonprofit", "Government", "Business"], "fundingType": ["Other"], "nih": null, "grants_gov": { "opportunityNumber": "PAR-26-107", "closeDate": "TBD", "detail": { "fiscalYear": 2026, "contactEmails": ["kidsfirst@od.nih.gov"] } } } ``` #### Key fields | Field | Description | | ------------------------------------------------------- | -------------------------------------------------------------- | | `source` | `duke` | `nih` | `grants.gov` | | `sourceId` | Best-effort stable id per source | | `url` | Canonical detail URL | | `title` | Opportunity title | | `description` | Plain-text description/abstract (when available) | | `sponsorName` | Sponsor / agency | | `amount`, `amountMin`, `amountMax` | Funding amounts (when available) | | `status` | e.g. Open / Forecasted (when available) | | `postedDate`, `deadlineSponsor`, `startDate`, `endDate` | Dates (best-effort; may be null) | | `eligibility`, `topics`, `fundingType`, `disciplines` | Tags/classification (when available) | | `nih` | NIH-only structured fields (when source = `nih`) | | `grants_gov` | Grants.gov-only structured fields (when source = `grants.gov`) | *** ### 🚀 How It Works 1. You provide a `keyword` 2. The Actor runs the selected sources 3. Each source returns up to `maxCountPerSource` normalized records 4. Results are saved to the default dataset ### 👥 Who This Actor Is For - Research ops / grant offices - Founders and teams building grant discovery tools - Analysts tracking funding programs - Automation pipelines that need structured grant data *** ### 📞 Support & Feedback For issues or feature requests, contact the Actor author via Apify. # Actor input Schema ## `keyword` (type: `string`): Search keyword. ## `sources` (type: `array`): Select which sources to scrape. If empty, all sources will be scraped. ## `maxCountPerSource` (type: `integer`): Stop after this many results per selected source have been saved. ## Actor input object example ```json { "keyword": "cancer", "sources": [ "duke", "nih", "grants.gov" ], "maxCountPerSource": 50 } ``` # Actor output Schema ## `results` (type: `string`): No description ## `run` (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 = { "keyword": "cancer", "sources": [ "duke", "nih", "grants.gov" ] }; // Run the Actor and wait for it to finish const run = await client.actor("caffein.dev/grants-actor").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": "cancer", "sources": [ "duke", "nih", "grants.gov", ], } # Run the Actor and wait for it to finish run = client.actor("caffein.dev/grants-actor").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": "cancer", "sources": [ "duke", "nih", "grants.gov" ] }' | apify call caffein.dev/grants-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=caffein.dev/grants-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Grant Opportunities Search Scraper", "description": "Search grant opportunities by keyword across NIH RePORTER, Grants.gov, and Duke Research Funding. Returns a unified dataset with titles, sponsors, deadlines, amounts, eligibility, and source URLs. Great for grant discovery, dashboards, and automation.", "version": "1.0", "x-build-id": "Lvk6ekwWKopCgcbfL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/caffein.dev~grants-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-caffein.dev-grants-actor", "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/caffein.dev~grants-actor/runs": { "post": { "operationId": "runs-sync-caffein.dev-grants-actor", "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/caffein.dev~grants-actor/run-sync": { "post": { "operationId": "run-sync-caffein.dev-grants-actor", "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 keyword." }, "sources": { "title": "Sources", "type": "array", "description": "Select which sources to scrape. If empty, all sources will be scraped.", "items": { "type": "string", "enum": [ "duke", "nih", "grants.gov" ], "enumTitles": [ "Duke", "NIH", "Grants.gov (Simpler.Grants.gov)" ] } }, "maxCountPerSource": { "title": "Max results per source", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Stop after this many results per selected source have been saved.", "default": 50 } } }, "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 } } } } } } } } } } ```