# NIH RePORTER Grants Scraper (`foo121/nih-reporter-scraper`) Actor Export NIH-funded research grants by topic, organization and fiscal year from the official NIH RePORTER API: PI, organization, award amount and project dates. - **URL**: https://apify.com/foo121/nih-reporter-scraper.md - **Developed by:** [ziv shay](https://apify.com/foo121) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 result 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 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 RePORTER Grants Scraper **NIH grants scraper** for **NIH RePORTER data** — pull structured **NIH research funding data** by keyword, fiscal year, and organization, with PI, award amount, and project dates. Built for **biotech business development, research-intelligence, and grant-strategy teams** who need to see who is funded to work on what, at which institution, and for how much. This **NIH grants scraper** reads the **official NIH RePORTER API**, so every project comes straight from the authoritative federal funding database. No API key required. Search by keyword (and optionally an organization), pick fiscal years, and get back project numbers, titles, PI names, organizations, and award amounts as clean **NIH RePORTER data**. ### What you get | Field | Description | |---|---| | `projectNum` | NIH project / grant number | | `title` | Project title | | `pi` | Principal investigator name(s) | | `organization` | Funded organization / institution | | `awardAmount` | Total award amount in USD | | `fiscalYear` | Fiscal year of the award | | `startDate` | Project start date | | `endDate` | Project end date | ### Input | Field | Type | Default | Description | |---|---|---|---| | `searchText` | string | `"alzheimer"` | Keyword / free-text to search project titles and abstracts | | `fiscalYears` | array | `[2025]` | One or more fiscal years to include | | `organization` | string | — | Optional organization / institution name filter | | `maxItems` | integer | `500` | Max projects to return | #### Example input ```json { "searchText": "alzheimer", "fiscalYears": [2024, 2025], "organization": "Stanford University", "maxItems": 500 } ```` ### Example run output ```json { "projectNum": "5R01AG076543-03", "title": "Tau Propagation Mechanisms in Early Alzheimer's Disease", "pi": "Chen, Wei", "organization": "Stanford University", "awardAmount": 642187, "fiscalYear": 2025, "startDate": "2023-09-01", "endDate": "2028-08-31" } ``` ### Use cases - **Biotech business development teams** finding funded research programs and PIs to license or partner with. - **Research-intelligence analysts** tracking NIH funding flows by topic, institution, and fiscal year. - **Grant-strategy teams** benchmarking award sizes and funded approaches before writing a proposal. - **Academic and tech-transfer offices** mapping funded investigators in a research area. ### Pricing Pay per result — billed only for the projects this **NIH grants scraper** returns, no subscription. ### Keywords NIH grants scraper, NIH RePORTER data, NIH research funding data, NIH grant scraper, NIH funding data, research grant data, PI funding lookup, NIH award data, RePORTER API scraper, NIH project data # Actor input Schema ## `searchText` (type: `string`): Optional free-text term to search across project titles, abstracts and terms (e.g. alzheimer, CRISPR, mRNA vaccine). Leave empty to list all grants for the chosen years/organization. ## `fiscalYears` (type: `array`): Fiscal years to include, e.g. \[2025] or \[2024, 2025]. ## `organization` (type: `string`): Optional organization name filter (e.g. Stanford University, Broad Institute). ## `maxItems` (type: `integer`): Maximum number of grant records to output. ## Actor input object example ```json { "searchText": "alzheimer", "fiscalYears": [ 2025 ], "maxItems": 500 } ``` # 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 = { "searchText": "alzheimer" }; // Run the Actor and wait for it to finish const run = await client.actor("foo121/nih-reporter-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 = { "searchText": "alzheimer" } # Run the Actor and wait for it to finish run = client.actor("foo121/nih-reporter-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 '{ "searchText": "alzheimer" }' | apify call foo121/nih-reporter-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=foo121/nih-reporter-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NIH RePORTER Grants Scraper", "description": "Export NIH-funded research grants by topic, organization and fiscal year from the official NIH RePORTER API: PI, organization, award amount and project dates.", "version": "1.0", "x-build-id": "fTR0abbYM3eLl43hg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/foo121~nih-reporter-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-foo121-nih-reporter-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/foo121~nih-reporter-scraper/runs": { "post": { "operationId": "runs-sync-foo121-nih-reporter-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/foo121~nih-reporter-scraper/run-sync": { "post": { "operationId": "run-sync-foo121-nih-reporter-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": { "searchText": { "title": "Search text", "type": "string", "description": "Optional free-text term to search across project titles, abstracts and terms (e.g. alzheimer, CRISPR, mRNA vaccine). Leave empty to list all grants for the chosen years/organization." }, "fiscalYears": { "title": "Fiscal years", "type": "array", "description": "Fiscal years to include, e.g. [2025] or [2024, 2025].", "default": [ 2025 ] }, "organization": { "title": "Organization", "type": "string", "description": "Optional organization name filter (e.g. Stanford University, Broad Institute)." }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of grant records to output.", "default": 500 } } }, "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 } } } } } } } } } } ```