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US NSF New Research Award Watch

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from $20.10 / 1,000 nsf award deltas

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US NSF New Research Award Watch

US NSF New Research Award Watch

Newly announced NSF research awards, as the register publishes them. Sourced from the public NSF Awards API, logged-out, no key.

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from $20.10 / 1,000 nsf award deltas

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NexGen Watch

NexGen Watch

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🎓 US NSF New Research Award Watch

Newly announced NSF research awards, as the register publishes them.

Output is one nsf_award_record row per result; billing is pay-per-event, the value event being one nsf award delta (a $0.02 start fee per run, then $0.03 per nsf award delta plus one $0.10 source check per run that reads the source). Source: api.nsf.gov, www.nsf.gov.

📊 Sample Output

US NSF New Research Award Watch sample output — a table of real nsf award delta rows (awardee_name, pi_name, program_name, trans_type) from run qAtXkUHFnpFJwKjpj on build 0.1.12

Real rows from run qAtXkUHFnpFJwKjpj on build 0.1.12 (2026-09-17), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

awardee_namepi_nameprogram_nametrans_typeaward_datestart_date
University of Minnesota-Twin CitiesMichael W LevinISP-Infrastructre Systms & PplStandard Grant07/20/202603/01/2027
Utah State UniversitySrisharan ShreedharanESH-Earth System HazardsStandard Grant07/20/202601/01/2027
University of Wisconsin-MadisonJacob K NotbohmBMMB-Biomech & MechanobiologyStandard Grant07/20/202601/01/2027
University of Texas at AustinDemian M SafferESH-Earth System HazardsStandard Grant07/20/202601/01/2027
Manhattanville CollegeJonathan MunsonIUSEStandard Grant07/20/202610/15/2026
University of Illinois at ChicagoBesma SmidaComm & Information FoundationsStandard Grant07/20/202610/01/2026
Morgan State UniversityKayenda T JohnsonEWFD-Eng Workforce DevelopmentStandard Grant07/20/202610/01/2026
New York UniversityYajun MeiComm & Information FoundationsStandard Grant07/20/202610/01/2026

The run finished with the status message: PARTIAL: emitted 25 item(s); ITEM CAP REACHED: max_items (10) stopped the walk at 07/21/2026, so award dates from there to 07/24/2026 were not read. Raise max_items or narrow the date window.; INCOMPLETE DAYS: 1 day(s) r

✅ 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_key (string/null) — e.g. nsf:2609977
  • record_kind — e.g. award
  • award_id — e.g. 2609977
  • title — e.g. Fast Optimization Methods for Transportation Network Design under User Equilibri
  • awardee_name — e.g. University of Minnesota-Twin Cities
  • awardee_state — e.g. MN
  • awardee_city — e.g. MINNEAPOLIS
  • pi_name — e.g. Michael W Levin
  • program_name — e.g. ISP-Infrastructre Systms & Ppl
  • trans_type — e.g. Standard Grant
  • award_date — e.g. 07/20/2026
  • start_date — e.g. 03/01/2027
  • end_date — e.g. 02/28/2030
  • estimated_total_amt — e.g. 350000
  • funds_obligated_amt — e.g. 350000
  • cfda_number — e.g. 47.041
  • award_url — e.g. https://www.nsf.gov/awardsearch/showAward?AWD_ID=2609977
  • matched_awardee — e.g. False
  • matched_pi — e.g. False
  • record_type (string) — e.g. nsf_award_record
  • delta_type (string/null) — null in every sample row
  • delta_kinds (array/null) — null in every sample row

⚙️ Sample inputs

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

{
"date_from": "07/20/2026",
"date_to": "07/24/2026",
"awardee_contains": [],
"pi_contains": [],
"state_codes": [],
"program_contains": [],
"max_items": 10,
"watch_mode": false,
"baseline_id": "default"
}

The sample run charged exactly: 1 × $0.02 apify-actor-start + 1 × $0.10 source-check + 0 × $0.03 nsf-award-delta = $0.12 on the Free tier — snapshot preview rows are delivered unbilled; only the source check and the start fee were charged.

2. A smaller, narrowed run

{
"date_from": "07/20/2026",
"date_to": "07/24/2026",
"awardee_contains": [],
"pi_contains": [],
"state_codes": [],
"program_contains": [],
"max_items": 5,
"watch_mode": false,
"baseline_id": "default"
}

Caps the run at 5 rows; same billing shape as the sample run above. date_from narrows what the source is asked for.

3. Watch mode on a schedule

{
"date_from": "07/20/2026",
"date_to": "07/24/2026",
"awardee_contains": [],
"pi_contains": [],
"state_codes": [],
"program_contains": [],
"max_items": 10,
"watch_mode": true,
"baseline_id": "default"
}

The first run seeds a private baseline and emits zero deltas; every later run emits one row per change, billed at $0.03 each plus the $0.10 source check; billed deltas are capped at 500 per run.

🧾 JSON sample record

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

{
"record_key": "nsf:2609977",
"record_kind": "award",
"award_id": "2609977",
"title": "Fast Optimization Methods for Transportation Network Design under User Equilibrium",
"awardee_name": "University of Minnesota-Twin Cities",
"awardee_state": "MN",
"awardee_city": "MINNEAPOLIS",
"pi_name": "Michael W Levin",
"program_name": "ISP-Infrastructre Systms & Ppl",
"trans_type": "Standard Grant",
"award_date": "07/20/2026",
"start_date": "03/01/2027",
"end_date": "02/28/2030",
"estimated_total_amt": 350000,
"funds_obligated_amt": 350000,
"cfda_number": "47.041",
"award_url": "https://www.nsf.gov/awardsearch/showAward?AWD_ID=2609977",
"matched_awardee": false,
"matched_pi": false,
"record_type": "nsf_award_record",
"schema_version": "1.0",
"output_mode": "preview",
"preview_cap": 25,
"preview_truncated": 75
}

🔧 How it works

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

Charging. Each nsf award delta is charged at the moment it is pushed (nsf-award-delta); a row that fails to charge is not delivered, so the dataset count always equals the charged count. One source-check is charged per run that actually read the source.

Source

NSF public Awards API (public, logged-out)

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

The eight delta types

valuefires when
new-awardan award appears in the window
award-obligation-changeobligated or estimated funding moves
award-end-date-changethe award start or end date moves
recipient-award-wina new award matches awardee_contains
small-business-awarda new award's programme is SBIR or STTR
investigator-new-awarda new award matches pi_contains
program-funding-momentuma programme's award count or obligated total moves
geography-funding-shifta state's award count or obligated total moves

Leave delta_types empty for all eight. Every delta carries delta_kinds naming which ones it satisfied — one new SBIR award to a watched recipient can satisfy four.

The two rollup types need an explicit date_from and date_to. A rolling window would report movement on every run purely because the window moved, so they are refused without one, and the window is part of the baseline identity.

How the window is read

The source has no sort parameter and its default order is not by date, so recency comes from the date window, walked day by day. Each day is read to completion and checked against the API's own totalCount; a day that comes back short is reported as a named PARTIAL rather than left as a silent hole in the baseline.

Snapshot mode is a PREVIEW

watch_mode: false returns at most 25 records, hard-capped in code, labeled output_mode: "preview". This actor sells change detection, not bulk export.

Watch semantics

The first watch run stores a private baseline and emits zero deltas. Billed deltas are capped at 500 per run; the overflow is a named PARTIAL withholding, never billed, re-detected next run. When a read is truncated, REMOVED is suppressed.

Terminal states

NORMAL · SUCCEEDED-0: GENUINE_EMPTY · SUCCEEDED-0 (no change) · PARTIAL · BLOCKED. A zero with no evidence FAILS loud rather than exiting 0 quietly.

One delta type per Actor

This Actor watches new-award and nothing else. The other delta types in this family are separate Actors, each with its own price and its own baseline — so you pay for the feed you want and no other.

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

⏰ Set it on a schedule

A single run is a snapshot. The value is the feed: open the actor in Apify Console → SchedulesCreate new, add this actor with input 3 above (watch_mode: true), and pick a cadence:

  • Daily0 7 * * * (07:00 UTC): catch changes within a day.
  • Weekly0 7 * * 1: a Monday digest.

The baseline persists in a named key-value store between runs, so every scheduled run compares against the last one; use a different baseline_id for independent watches. Schedules can also POST results to a webhook (Console → Integrations).

💰 Pricing example

EventFreeBronzeSilverGold
Actor Start (apify-actor-start)$0.02$0.02$0.02$0.02
Source check (source-check)$0.10$0.09$0.08$0.07
NSF Award Delta (nsf-award-delta)$0.03$0.03$0.02$0.02

Worked at the live Free-tier price (watch mode, one delta per change):

  • 8 nsf award deltas: $0.02 start + $0.10 source check + 8 × $0.03 = $0.36
  • 25 nsf award deltas: $0.02 start + $0.10 source check + 25 × $0.03 = $0.87
  • 1500 nsf award deltas: $0.02 start + $0.10 source check + 1500 × $0.03 = $45.12

A run that delivers zero rows charges the $0.02 start fee plus the $0.10 source check (the source was read and reported empty). 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: PARTIAL: emitted 25 item(s); ITEM CAP REACHED: max_items (10) stopped the walk at 07/21/2026, so award dates from there to 07/24/2026 were not read. Raise max_items or narrow the date window.; INCOMPL. max_items is a hard ceiling on what is delivered and billed, never a target. Snapshot output is capped at 25 records regardless of the cap you set; watch mode is the full feed.

This actor reads public, logged-out pages and feeds published by api.nsf.gov, www.nsf.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.nsf.gov, www.nsf.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 (in watch mode the first run always seeds the baseline and returns zero deltas); 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 plus one source check.

Q: How many rows can one run return?
A: Up to max_items (default 1500); snapshot previews stop at 25. Raise the cap for a bigger run; you pay per delivered row.

Q: What does watch mode remember between runs?
A: A private baseline of source-native record ids in a named key-value store (baseline_id names it, so several independent watches can coexist). Each later run diffs the live source against it and emits only changes.

Q: How fresh is the data?
A: Every run reads the source live at run time; nothing is cached between runs except the watch baseline. 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 grant and research-funding watches actors?
A: Same output shape and billing model; this one covers api.nsf.gov, www.nsf.gov. The siblings under Related Actors cover the other sources or slices — run several on one schedule for a combined feed.

🆘 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_items) 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.
  • First watch run shows no deltas → expected: it seeds the baseline; changes appear from the second run.

⭐ 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.