# Nih Nsf Funding Scraper (`fortuitous_pirate/nih-nsf-funding-scraper`) Actor NIH & NSF Research Funding Scraper. Structured data export for lead generation, enrichment, and competitive research. - **URL**: https://apify.com/fortuitous\_pirate/nih-nsf-funding-scraper.md - **Developed by:** [Fortuitous Pirate](https://apify.com/fortuitous_pirate) (community) - **Categories:** Lead generation, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.50 / 1,000 results 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 ## NIH & NSF Research Funding Scraper ### Overview Scrapes research funding data from both NIH (National Institutes of Health) and NSF (National Science Foundation). Search grants by PI name, institution, keywords, funding range, and dates. Returns grant ID, PI name, institution, amount, title, abstract, start/end dates, and funding agency. ### Features - Search by keywords to find specific results ### Use Cases - **Track** - Track federal government data releases and updates - **Build** - Build datasets for policy research and analysis - **Monitor** - Monitor regulatory changes and compliance requirements - **Aggregate** - Aggregate public government data for transparency projects ### Input Parameters | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | `agency` | string | Select which agency to search | `both` | | `keywords` | string | Search keywords in project titles and abstracts (e.g., 'machine learning', 'c... | | | `piName` | string | Principal Investigator name (e.g., 'Smith', 'John Smith') | | | `institution` | string | University or research institution name (e.g., 'Stanford', 'MIT') | | | `state` | string | 2-letter US state code (e.g., CA, NY, MA) | | | `minFundingAmount` | integer | Minimum award amount in dollars | | | `maxFundingAmount` | integer | Maximum award amount in dollars | | | `startDateFrom` | string | Award start date range beginning (MM/DD/YYYY) | | | `startDateTo` | string | Award start date range end (MM/DD/YYYY) | | | `fiscalYears` | array | NIH fiscal years to search (e.g., 2024, 2023) | | | `activityCodes` | array | NIH grant types: R01 (research), R21 (exploratory), K99 (career) | | | `fundProgramName` | string | NSF funding program name | | | `includeAbstract` | boolean | Include full project abstract in results | true | | `limit` | integer | Max grants to return per agency (0 = no limit) | `100` | ### Output Example Each result contains structured data like this: ```json { "grantId": "ABC-12345", "title": "Sample Government - Federal Result", "piName": "NIH & NSF Research Funding Sample Item", "institution": "Sample institution", "amount": 50000, "startDate": "2025-01-15", "endDate": "2025-01-15", "fundingAgency": "Sample fundingAgency" } ```` ### Pricing This actor uses pay-per-result pricing: - **$0.0015** per result - **$1.50** per 1,000 results No monthly fees. You only pay for what you scrape. [Apify Free plan](https://apify.com/pricing) includes $5/month in platform credits. ### How to Run #### Apify Console 1. Go to the [NIH & NSF Research Funding Scraper](https://apify.com/fortuitous_pirate/nih-nsf-funding-scraper) actor page 2. Configure your input parameters 3. Click **Start** and wait for the results 4. Download data in JSON, CSV, or Excel format #### API ```bash curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~nih-nsf-funding-scraper/runs?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"maxItems": 10}' ``` #### Python SDK ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("fortuitous_pirate/nih-nsf-funding-scraper").call( run_input={"maxItems": 10} ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` ### Integration Connect NIH & NSF Research Funding Scraper with your existing tools and workflows: - **API access** - Programmatic access via [Apify API](https://docs.apify.com/api/v2) - **Webhooks** - Get notified when scraping completes - **Scheduling** - Set up recurring runs on any schedule - **Zapier / Make** - Connect with 5,000+ apps via [Apify integrations](https://apify.com/integrations) - **Python / Node.js SDKs** - Native client libraries for easy integration # Actor input Schema ## `agency` (type: `string`): Select which agency to search ## `keywords` (type: `string`): Search keywords in project titles and abstracts (e.g., 'machine learning', 'cancer immunotherapy') ## `piName` (type: `string`): Principal Investigator name (e.g., 'Smith', 'John Smith') ## `institution` (type: `string`): University or research institution name (e.g., 'Stanford', 'MIT') ## `state` (type: `string`): 2-letter US state code (e.g., CA, NY, MA) ## `minFundingAmount` (type: `integer`): Minimum award amount in dollars ## `maxFundingAmount` (type: `integer`): Maximum award amount in dollars ## `startDateFrom` (type: `string`): Award start date range beginning (MM/DD/YYYY) ## `startDateTo` (type: `string`): Award start date range end (MM/DD/YYYY) ## `fiscalYears` (type: `array`): NIH fiscal years to search (e.g., 2024, 2023) ## `activityCodes` (type: `array`): NIH grant types: R01 (research), R21 (exploratory), K99 (career) ## `fundProgramName` (type: `string`): NSF funding program name ## `includeAbstract` (type: `boolean`): Include full project abstract in results ## `limit` (type: `integer`): Max grants to return per agency (0 = no limit) ## Actor input object example ```json { "agency": "both", "includeAbstract": true, "limit": 10 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("fortuitous_pirate/nih-nsf-funding-scraper").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 = {} # Run the Actor and wait for it to finish run = client.actor("fortuitous_pirate/nih-nsf-funding-scraper").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 '{}' | apify call fortuitous_pirate/nih-nsf-funding-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fortuitous_pirate/nih-nsf-funding-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nih Nsf Funding Scraper", "description": "NIH & NSF Research Funding Scraper. Structured data export for lead generation, enrichment, and competitive research.", "version": "1.0", "x-build-id": "hrNPhywkE2TvBddun" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fortuitous_pirate~nih-nsf-funding-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fortuitous_pirate-nih-nsf-funding-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fortuitous_pirate~nih-nsf-funding-scraper/runs": { "post": { "operationId": "runs-sync-fortuitous_pirate-nih-nsf-funding-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fortuitous_pirate~nih-nsf-funding-scraper/run-sync": { "post": { "operationId": "run-sync-fortuitous_pirate-nih-nsf-funding-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "agency": { "title": "Funding Agency", "enum": [ "both", "nih", "nsf" ], "type": "string", "description": "Select which agency to search", "default": "both" }, "keywords": { "title": "Keywords", "type": "string", "description": "Search keywords in project titles and abstracts (e.g., 'machine learning', 'cancer immunotherapy')" }, "piName": { "title": "PI Name", "type": "string", "description": "Principal Investigator name (e.g., 'Smith', 'John Smith')" }, "institution": { "title": "Institution", "type": "string", "description": "University or research institution name (e.g., 'Stanford', 'MIT')" }, "state": { "title": "State Code", "pattern": "^[A-Za-z]{2}$", "type": "string", "description": "2-letter US state code (e.g., CA, NY, MA)" }, "minFundingAmount": { "title": "Minimum Funding ($)", "minimum": 0, "type": "integer", "description": "Minimum award amount in dollars" }, "maxFundingAmount": { "title": "Maximum Funding ($)", "minimum": 0, "type": "integer", "description": "Maximum award amount in dollars" }, "startDateFrom": { "title": "Start Date From", "type": "string", "description": "Award start date range beginning (MM/DD/YYYY)" }, "startDateTo": { "title": "Start Date To", "type": "string", "description": "Award start date range end (MM/DD/YYYY)" }, "fiscalYears": { "title": "Fiscal Years (NIH only)", "type": "array", "description": "NIH fiscal years to search (e.g., 2024, 2023)", "items": { "type": "string" } }, "activityCodes": { "title": "Activity Codes (NIH only)", "type": "array", "description": "NIH grant types: R01 (research), R21 (exploratory), K99 (career)", "items": { "type": "string" } }, "fundProgramName": { "title": "Program Name (NSF only)", "type": "string", "description": "NSF funding program name" }, "includeAbstract": { "title": "Include Abstract", "type": "boolean", "description": "Include full project abstract in results", "default": true }, "limit": { "title": "Maximum Results", "minimum": 0, "type": "integer", "description": "Max grants to return per agency (0 = no limit)", "default": 10 } } }, "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 } } } } } } } } } } ```