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

Grant Funding Report — NIH Awards & Grants.gov Window

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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
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.

📊 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 KCSa6GqP4252HL9pH on build 0.1.13

Real rows from run KCSa6GqP4252HL9pH on build 0.1.13 (2026-09-17), 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
ac695d16fade3047867dGrant Funding — 'immunology' (FY2026)["NIH RePORTER v2"]ngd-deterministic-aggregate-v12026-09-17T17:25:47.677558+00:00REPORT_ac695d16fade3047867d

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. 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 KCSa6GqP4252HL9pH, exactly as it lands in the dataset (emails masked, long text shortened):

{
"record_type": "report",
"schema_version": "1.0",
"report_id": "ac695d16fade3047867d",
"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": "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
},
{
"value": "UNIVERSITY OF CHICAGO",
"count": 1
}
],
"org_state": [
{
"value": "MN",
"count": 2
},
{
"value": "TX",
"count": 2
},
{
"value": "NY",
"count": 1
},
{
"value": "CA",
"count": 1
},
{
"value": "PA",
"count": 1
},
{
"value": "MO",
"count": 1
},
{
"value": "NC",
"count": 1
},
{
"value": "IL",
"count": 1
}
]
},
"numbers": {
"amount": {
"count": 10,
"sum": 2027526,
"min": 36648,
"max": 378193,
"mean": 202752.6,
"median": 195900.5
}
},
"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: `ac695d16fade3047867d` ## By source - nih_reporter",
"generated_at": "2026-09-17T17:25:47.677558+00:00",
"report_kv_key": "REPORT_ac695d16fade3047867d"
}

🔧 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.

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.