Grant Funding Report — NIH Awards & Grants.gov Window avatar

Grant Funding Report — NIH Awards & Grants.gov Window

Pricing

from $10,050.00 / 1,000 grant funding reports

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Grant Funding Report — NIH Awards & Grants.gov Window

Grant Funding Report — NIH Awards & Grants.gov Window

Research-development offices and grant consultancies sizing a funder's activity in a topic area, and life-science BD teams tracking award concentration by institution.

Pricing

from $10,050.00 / 1,000 grant funding reports

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📑 Grant Funding Report — NIH Awards & Grants.gov Window

Research-development offices and grant consultancies sizing a funder's activity in a topic area, and life-science BD teams tracking award concentration by institution.

Source

NIH RePORTER v2 project search and Grants.gov search2 (public, logged-out)
- https://api.reporter.nih.gov/v2/projects/search

Public, logged-out only — no API key, login, cookie or CAPTCHA.

Pricing

EventFREEBRONZESILVERGOLD+
Actor Start (apify-actor-start)$0.05$0.05$0.05$0.05
Grant Funding Report (grant-funding-report)$15.00$13.50$12.00$10.05

Prices are the filed pay-per-event amounts per plan tier (PLATINUM/DIAMOND match GOLD). Blocked and refused runs do not intentionally charge value events.

Output is one report row per result; billing is pay-per-event, the value event being one grant funding report (a $0.05 start fee per run, then $15.00 per grant funding report). Source: api.grants.gov, api.reporter.nih.gov.

Who buys this

Buyers usually search for NIH grants or grant opportunities.

  • Grant consultants and research-development offices tracking NIH grants.
  • Universities, nonprofits and companies watching grant opportunities relevant to their field.
  • Analysts and journalists following where public funding goes.

📊 Sample Output

Grant Funding Report — NIH Awards & Grants.gov Window sample output — a table of real grant funding report rows (report_id, report_title, sources, method) from run 3Pv0V9lSFUsheAvDf on build 0.1.19

Real rows from run 3Pv0V9lSFUsheAvDf on build 0.1.19 (2026-09-23), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

report_idreport_titlesourcesmethodgenerated_atreport_kv_key
7c2c34f45ca5c72f184fGrant Funding — 'immunology' (FY2026)["NIH RePORTER v2"]ngd-deterministic-aggregate-v12026-09-23T17:34:58.808656+00:00REPORT_7c2c34f45ca5c72f184f

The run finished with the status message: NORMAL: emitted 1 item(s)

✅ What you get

Each row is flat JSON with these fields (from the dataset schema and the sample run; a field the source does not publish for a given row is null):

  • record_type (string) — e.g. report
  • report_id (string) — e.g. 7c2c34f45ca5c72f184f
  • report_title (string/null) — e.g. Grant Funding — 'immunology' (FY2026)
  • scope — e.g. keyword 'immunology'; NIH fiscal year 2026; sources nih_reporter
  • sources (array) — e.g. ["NIH RePORTER v2"]
  • records_analysed (integer) — e.g. 10
  • facets (object) — e.g. {"source": [{"value": "nih_reporter", "count": 10}], "kind": [{"value": "award",
  • numbers (object) — e.g. {"amount": {"count": 10, "sum": 1983392, "min": 36648, "max": 378193, "mean": 19
  • method (string) — e.g. ngd-deterministic-aggregate-v1
  • partial (boolean) — e.g. False
  • report_markdown (string) — e.g. # Grant Funding — 'immunology' (FY2026) - Records analysed: **10** - Window / sc
  • generated_at (string) — e.g. 2026-09-23T17:34:58.808656+00:00
  • report_kv_key — e.g. REPORT_7c2c34f45ca5c72f184f

✅ What you get

  • record_type (string) — e.g. report
  • report_id (string) — e.g. ac695d16fade3047867d
  • report_title (string/null) — e.g. Grant Funding — 'immunology' (FY2026)
  • scope — e.g. keyword 'immunology'; NIH fiscal year 2026; sources nih_reporter
  • sources (array) — e.g. ["NIH RePORTER v2"]
  • records_analysed (integer) — e.g. 10
  • facets (object) — e.g. {"source": [{"value": "nih_reporter", "count": 10}], "kind": [{"value": "award",
  • numbers (object) — e.g. {"amount": {"count": 10, "sum": 2027526, "min": 36648, "max": 378193, "mean": 20
  • method (string) — e.g. ngd-deterministic-aggregate-v1
  • partial (boolean) — e.g. False
  • report_markdown (string) — e.g. # Grant Funding — 'immunology' (FY2026) - Records analysed: **10** - Window / sc
  • generated_at (string) — e.g. 2026-09-17T17:25:47.677558+00:00
  • report_kv_key — e.g. REPORT_ac695d16fade3047867d

⚙️ Sample inputs

1. Quick start — the Store example (this is what the sample above came from)

{
"keyword": "immunology",
"fiscal_year": 2026,
"sources": [
"nih_reporter"
],
"max_records": 10
}

The sample run charged exactly: 1 × $0.05 apify-actor-start + 1 × $15.00 grant-funding-report = $15.05 on the Free tier — every delivered row was billed.

2. A smaller, narrowed run

{
"keyword": "immunology",
"fiscal_year": 2026,
"sources": [
"nih_reporter"
],
"max_records": 5
}

Caps the run at 5 rows — about $75.05 on the Free tier ($0.05 start + 5 × $15.00). keyword narrows what the source is asked for.

3. A full-size run

{
"keyword": "immunology",
"fiscal_year": 2026,
"sources": [
"nih_reporter"
],
"max_records": 200
}

Up to 200 rows (the schema default for max_records) — about $3,000.05 on the Free tier ($0.05 start + 200 × $15.00) if the source has that many.

🧾 JSON sample record

One real record from run 3Pv0V9lSFUsheAvDf, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_type": "report",
"schema_version": "1.0",
"report_id": "7c2c34f45ca5c72f184f",
"report_title": "Grant Funding — 'immunology' (FY2026)",
"scope": "keyword 'immunology'; NIH fiscal year 2026; sources nih_reporter",
"sources": [
"NIH RePORTER v2"
],
"records_analysed": 10,
"facets": {
"source": [
{
"value": "nih_reporter",
"count": 10
}
],
"kind": [
{
"value": "award",
"count": 10
}
],
"organization": [
{
"value": "UNIVERSITY OF MINNESOTA",
"count": 2
},
{
"value": "WAYNE STATE UNIVERSITY",
"count": 1
},
{
"value": "ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI",
"count": 1
},
{
"value": "UT SOUTHWESTERN MEDICAL CENTER",
"count": 1
},
{
"value": "UNIVERSITY OF CALIFORNIA-IRVINE",
"count": 1
},
{
"value": "BAYLOR COLLEGE OF MEDICINE",
"count": 1
},
{
"value": "UNIVERSITY OF PITTSBURGH AT PITTSBURGH",
"count": 1
},
{
"value": "WASHINGTON UNIVERSITY",
"count": 1
},
{
"value": "UNIV OF NORTH CAROLINA CHAPEL HILL",
"count": 1
}
],
"org_state": [
{
"value": "MN",
"count": 2
},
{
"value": "TX",
"count": 2
},
{
"value": "MI",
"count": 1
},
{
"value": "NY",
"count": 1
},
{
"value": "CA",
"count": 1
},
{
"value": "PA",
"count": 1
},
{
"value": "MO",
"count": 1
},
{
"value": "NC",
"count": 1
}
]
},
"numbers": {
"amount": {
"count": 10,
"sum": 1983392,
"min": 36648,
"max": 378193,
"mean": 198339.2,
"median": 180064
}
},
"method": "ngd-deterministic-aggregate-v1",
"partial": false,
"report_markdown": "# Grant Funding — 'immunology' (FY2026) - Records analysed: **10** - Window / scope: keyword 'immunology'; NIH fiscal year 2026; sources nih_reporter - Sources: NIH RePORTER v2 - Report id: `7c2c34f45ca5c72f184f` ## By source - nih_reporter",
"generated_at": "2026-09-23T17:34:58.808656+00:00",
"report_kv_key": "REPORT_7c2c34f45ca5c72f184f"
}

🔧 How it works

Source. The actor reads api.grants.gov, api.reporter.nih.gov — endpoints: https://api.grants.gov/v1/api/search2, https://api.reporter.nih.gov/v2/projects/search. Public pages and feeds only; nothing behind a login.

Transport. Plain HTTPS from the Apify platform, no proxy. Every request carries an identified contact User-Agent.

Terminal states. A run ends NORMAL, CAPPED (your cap was reached), PARTIAL (something was withheld and the message says what), GENUINE_EMPTY (the source was read and truly had nothing in scope) or BLOCKED (the source refused or changed shape — the run FAILS loud and bills nothing). A zero-row run is never reported as a silent success.

Charging. Each grant funding report is charged at the moment it is pushed (grant-funding-report); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

🔧 How it works

What is not done. No login, no cookie or CAPTCHA bypass, no private or personal-account data, no browser automation.

💰 Pricing example

EventFreeBronzeSilverGold
Actor Start (apify-actor-start)$0.05$0.05$0.05$0.05
Grant Funding Report (grant-funding-report)$15.00$13.50$12.00$10.05

Worked at the live Free-tier price:

  • 1 grant funding reports: $0.05 start + 1 × $15.00 = $15.05
  • 25 grant funding reports: $0.05 start + 25 × $15.00 = $375.05
  • 200 grant funding reports: $0.05 start + 200 × $15.00 = $3,000.05

A run that delivers zero rows charges the $0.05 start fee only. A BLOCKED run (source refused) fails loud and charges no value event. The start fee is charged once per GB of run memory; the default run memory is 1024 MB.

Yield on the sample run: NORMAL: emitted 1 item(s). max_records is a hard ceiling on what is delivered and billed, never a target.

This actor reads public, logged-out pages and feeds published by api.grants.gov, api.reporter.nih.gov. It collects only what the source publishes to any visitor, identifies itself with a contact User-Agent, and does not access accounts, private data or anything behind authentication. Use the output in line with the source's terms and your local law; the intended use is B2B research and monitoring.

❓ FAQ

Q: Do I need an API key or a login?
A: No. The source (api.grants.gov, api.reporter.nih.gov) is read logged-out; the input schema has no key field and the actor carries no secrets.

Q: Why did my run return 0 rows?
A: Read the run's status message. GENUINE_EMPTY means the source was read and had nothing in scope for your input; BLOCKED means the source refused and the run failed without billing a value event — retry later or narrow the input. A zero-row run bills the start fee only.

Q: How many rows can one run return?
A: Up to max_records (default 200). Raise the cap for a bigger run; you pay per delivered row.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs. Put it on a schedule for a continuous feed.

Q: What formats can I export?
A: The dataset downloads as JSON, CSV, Excel, XML or RSS from the run's Dataset tab or the Apify API, and any run can push to a webhook or integration.

Q: How is this different from the other premium report actors actors?
A: Same output shape and billing model; this one covers api.grants.gov, api.reporter.nih.gov. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

Q: Are there rate limits?
A: The actor paces itself against the source; there is no per-buyer limit beyond your Apify plan's concurrency.

🆘 Troubleshooting

  • Run FAILED with BLOCKED → the source refused the request or changed its page shape → nothing was billed beyond the start fee; retry after a while, and if it persists open an Issue with the run id.
  • Status says CAPPED → your cap (max_records) was reached → raise it for a bigger run.
  • Input validation error on start → a field is outside the schema's allowed values → start from the Quick start block and change one field at a time.
  • Run TIMED-OUT → a very wide request on a slow day → raise the run timeout in Run options or narrow the input; what was delivered before the timeout is still in the dataset.

⭐ Found this useful?

If this actor saved you a manual check, a quick review on the Apify Store helps other teams find it. Feature request or a source that changed? Open it from the Issues tab — every one is read.