NIH RePORTER API: Search Grant Funding, Award Amounts, and Principal Investigators

The NIH funds over $40 billion in research each year across 27 institutes and centers. Every active grant is recorded in NIH RePORTER with project details, award amounts, and principal investigator data. Our NIH RePORTER Scraper makes that database searchable without navigating the export interface.

What you get per grant

• project_num: NIH project number
• title: project title
• abstract: full project abstract
• agency: funding agency (e.g. NCI, NIAID, NHLBI)
• award_amount: total award amount in USD
• fiscal_year: fiscal year of the award
• pi_names: list of principal investigator names
• pi_profile_ids: NIH profile IDs for each PI
• organization: institution name
• city and state: institution location
• start_date and end_date: project dates
• activity_code: grant mechanism (R01, R21, K99, etc.)
• scraped_at: ISO timestamp

Python example

import requests, time

run = requests.post(
    "https://api.apify.com/v2/acts/themineworks~nih-reporter-grants/runs",
    headers={"Authorization": f"Bearer {APIFY_TOKEN}"},
    json={
        "query": "CRISPR gene editing cancer",
        "agency": "NCI",
        "maxResults": 100
    }
)

run_id = run.json()["data"]["id"]

while True:
    r = requests.get(
        f"https://api.apify.com/v2/actor-runs/{run_id}",
        headers={"Authorization": f"Bearer {APIFY_TOKEN}"}
    ).json()
    if r["data"]["status"] in ("SUCCEEDED", "FAILED"):
        break
    time.sleep(5)

grants = requests.get(
    f"https://api.apify.com/v2/actor-runs/{run_id}/dataset/items",
    headers={"Authorization": f"Bearer {APIFY_TOKEN}"}
).json()

total = sum(g.get("award_amount", 0) for g in grants)
print(f"{len(grants)} grants, total ${total:,.0f}")
for g in grants[:5]:
    print(g["title"], f"${g['award_amount']:,.0f}")

Map funding by institution

import pandas as pd

df = pd.DataFrame(grants)
df["award_amount"] = pd.to_numeric(df["award_amount"], errors="coerce")

by_org = df.groupby("organization")["award_amount"].agg(["sum", "count"])
by_org.columns = ["total_funding", "grant_count"]
by_org = by_org.sort_values("total_funding", ascending=False)
print(by_org.head(20))

Parameters

Parameter	Default	Notes
query	None	Keyword search across title and abstract
agency	None	NIH agency code (e.g. "NCI", "NIAID")
activityCode	None	Grant mechanism (e.g. "R01", "K99")
state	None	Institution state code
fiscalYear	latest	Fiscal year of award
maxResults	100	Maximum grants to return

Use cases

Academic business development. Identify PIs at universities who have recently received NIH funding in your technology area. Approach them as potential research collaborators or licensing partners.

Active funding mapping. Before launching a new research program, pull all active NIH grants in the space to understand who is funded, at what scale, and by which agencies.

Grant writing support. Pull funded abstracts for R01s in your area to understand how funded investigators frame their specific aims and what language resonates with study sections.

Startup competitive intelligence. SBIR and STTR grants fund early-stage companies. Search for grants awarded to companies rather than universities to map the venture-fundable startups receiving NIH validation.

Life sciences sales. Target institutions and PIs with active NIH funding in your product’s application area: active funding means active spending on lab consumables, instruments, and software.

Pricing

$0.0025 per grant record. Empty queries are not charged.

Available on Apify.