# NIH RePORTER Grants Tracker — R01, R21, K99 by Query (`v0iddo/nih-reporter-grants`) Actor

Pull recent NIH research grants from RePORTER. Filter by activity code (R01/R21/K99/U01), agency (NCI/NIAID/NIMH), state, PI, keyword. One row per project — number, title, abstract, organization, PI, award amount, dates, agency. RePORTER v2 API (free, no auth).

- **URL**: https://apify.com/v0iddo/nih-reporter-grants.md
- **Developed by:** [vøiddo](https://apify.com/v0iddo) (community)
- **Categories:** Business, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 nih grant extracteds

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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Tracker — by Query

Pull recent **NIH research grants** from RePORTER. Filter by activity code (R01, R21, K99, U01...), funding IC (NCI, NIAID, NIMH...), organization state, PI name, or keyword. One clean row per project — number, title, abstract, organization, PI, award amount, project dates, funding agency.

Built **for cron** (track new R01 grants in your therapeutic area, your competitor labs, or your university) and ad-hoc landscape analysis.

### Inputs

```json
{
  "fiscalYears": [2025, 2026],
  "activityCodes": ["R01", "R21"],
  "agencies": ["NCI"],
  "textSearch": "CRISPR",
  "organizationStates": ["CA", "MA"],
  "sinceProjectStartDays": 30,
  "maxResults": 500
}
```

| input | default | notes |
|---|---|---|
| `fiscalYears` | current FY | NIH fiscal years to include (FY26 = Oct 2025 → Sep 2026). |
| `activityCodes` | `["R01"]` | Grant mechanism: R01 (standard), R21 (exploratory), K99 (early-career), U01 (cooperative), P50 (center)... |
| `agencies` | all | NIH IC codes: NCI, NIAID, NIMH, NHLBI, NIA, NIDDK, etc. |
| `textSearch` | — | Searches project title + abstract + terms. |
| `organizationStates` | all | Recipient org US state codes. |
| `principalInvestigators` | any | Free-text name match. |
| `sinceProjectStartDays` | `30` | Only projects with `project_start_date` in the last N days. `0` to disable. |
| `maxResults` | `1000` | Hard cap. |

### Output

One row per project:

| field | example |
|---|---|
| applId | `11213286` |
| projectNum | `1R01CA303651-01` |
| projectTitle | `Long-Term Outcomes Following Childhood Cancer Treatment` |
| fiscalYear | `2025` |
| activityCode | `R01` |
| awardType | `1` (new project) |
| awardAmount | `4236812` |
| isActive | `true` |
| projectStartDate | `2025-09-10T00:00:00` |
| projectEndDate | `2029-08-31T00:00:00` |
| organizationName | `CHILDREN'S HOSPITAL OF LOS ANGELES` |
| organizationCity | `LOS ANGELES` |
| organizationState | `CA` |
| organizationUei | `DVL1CMRMWRN9` |
| principalInvestigators | `[{"name":"David R Freyer","title":"DIRECTOR, CANCER SURVIVORSHIP","isContactPi":true},...]` |
| contactPiName | `David R Freyer` |
| fundingAgencyCode | `CA` |
| fundingAgencyAbbreviation | `NCI` |
| fundingAgencyName | `National Cancer Institute` |
| totalCostByIc | `[{"ic":"NCI","totalCost":4236812}]` |
| opportunityNumber | `RFA-CA-24-027` |
| congressionalDistrict | `CA-30` |
| abstract | full project abstract (when available) |
| reporterUrl | `https://reporter.nih.gov/project-details/11213286` |

### Daily / weekly cron pattern

```json
{
  "activityCodes": ["R01"],
  "agencies": ["NCI"],
  "textSearch": "immunotherapy",
  "sinceProjectStartDays": 7
}
```

Run weekly — captures new NCI R01s on immunotherapy that started in the past 7 days.

### Real-world questions this answers

- **Pharma BD.** Who at academia just got an R01 in our therapeutic area? Cold-outreach for collab.
- **Biotech competitive intel.** Which labs received funding for a target we're working on?
- **Tech-transfer office.** What's the grant pipeline at our institution this FY?
- **Investigative journalism.** Track NIH funding flows by topic / agency / state.

### What it doesn't do

- No subaward / publication / patent enrichment (RePORTER has those endpoints, separate actors).
- No NIH spending category roll-ups beyond what RePORTER returns directly.
- No K- and R-mechanism semantic decoding — we return raw codes.

### Maintained by

[vøiddo studio](https://voiddo.com) — small independent shop.

# Actor input Schema

## `fiscalYears` (type: `array`):

NIH fiscal years to include. Empty = current FY. Example: \[2025, 2026].

## `activityCodes` (type: `array`):

Grant mechanism codes. R01 = standard research, R21 = exploratory, K99 = early-career, U01 = cooperative, P50 = center. Empty = all.

## `agencies` (type: `array`):

NIH IC codes: NCI (Cancer), NIAID (Allergy/Infectious), NIMH (Mental Health), NHLBI (Heart/Lung/Blood), NIA (Aging), NIDDK (Diabetes/Digestive/Kidney). Empty = all.

## `textSearch` (type: `string`):

Search across project title, abstract, terms. Example: "CRISPR". Single value.

## `organizationStates` (type: `array`):

Filter by recipient organization's US state. Example: \["CA", "MA"]. Empty = all.

## `principalInvestigators` (type: `array`):

Last-name-first or full-name strings. Example: \["Doudna", "Zhang Feng"]. Empty = any PI.

## `sinceProjectStartDays` (type: `integer`):

Filter to projects with project\_start\_date >= now-N. Useful for tracking newly-awarded grants. Empty / 0 = no date filter.

## `maxResults` (type: `integer`):

Hard cap. RePORTER caps offset+limit at ~14000.

## Actor input object example

```json
{
  "fiscalYears": [],
  "activityCodes": [
    "R01"
  ],
  "agencies": [],
  "textSearch": "",
  "organizationStates": [],
  "principalInvestigators": [],
  "sinceProjectStartDays": 30,
  "maxResults": 1000
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("v0iddo/nih-reporter-grants").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("v0iddo/nih-reporter-grants").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 v0iddo/nih-reporter-grants --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=v0iddo/nih-reporter-grants",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/SEuOyB3DuqvNs17qH/builds/8Fvhj38C6h6Lv3NrR/openapi.json