🎓 US Grants.gov Deadline Amendments Scraper

Scrape US Grants.gov application deadline amendments: opportunity, agency, old and new close date. Run it once and you get the current records as a dataset — that is the default. Turn on watch mode and a scheduled run returns only what changed since the last run (see Optional: run it on a schedule).

Close-date changes on federal funding opportunities — extensions and pull-ins.

Output is one grant_opportunity_record row per result; billing is pay-per-event, the value event being one grant opportunity delta (a $0.02 start fee per run, then $0.20 per grant opportunity delta plus one $0.10 source check per run that reads the source). Source: api.grants.gov.

Who buys this

Buyers usually search for grants.gov deadlines or federal grant deadlines.

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

📊 Sample Output

Real rows from run tPl1pAxYxDS6exUOX on build 0.1.20 (2026-09-28), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

opportunity_number	agency	agency_code	cfda_list	open_date	doc_type
PAR-27-045	National Institutes of Health	HHS-NIH11	["93.121", "93.213", "93.273", "93.286", "93.473", "93.846", "93.853",	09/28/2026	synopsis
O-OJJDP-2026-172782	Office of Juvenile Justice Delinquency Prevention	USDOJ-OJP-OJJDP	["16.543"]	09/28/2026	synopsis
USDA-NHQ-ACEP-26-NOFO0001456	Natural Resources Conservation Service	USDA-NRCS	["10.072", "10.928", "10.931"]	09/25/2026	synopsis
O-BJA-2026-172779	Bureau of Justice Assistance	USDOJ-OJP-BJA	["16.816"]	09/25/2026	synopsis
CDC-RFA-PS-27-0053	Centers for Disease Control - NCHHSTP	HHS-CDC-NCHHSTP	["93.116"]	09/25/2026	forecast
PAR-28-072	National Institutes of Health	HHS-NIH11	["93.867"]	09/25/2026	synopsis
HHS-2027-ACL-AOA-ADPI-0006	Administration for Community Living	HHS-ACL	["93.470"]	09/25/2026	forecast
HHS-2027-ACL-NIDILRR-ARCP-0300	Administration for Community Living	HHS-ACL	["93.433"]	09/25/2026	forecast

The run finished with the status message: NORMAL: emitted 10 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_key (string/null) — e.g. grants:361304
• opportunity_id — e.g. 361304
• opportunity_number — e.g. PAR-27-045
• title — e.g. HEAL Initiative: Whole Joint Health Program (R61/R33 Clinical Trial Required)
• agency — e.g. National Institutes of Health
• agency_code — e.g. HHS-NIH11
• cfda_list — e.g. ["93.121", "93.213", "93.273", "93.286", "93.473", "93.846", "93.853", "93.866"]
• open_date — e.g. 09/28/2026
• close_date — e.g. 10/30/2026
• opp_status — e.g. posted
• doc_type — e.g. synopsis
• detail_read — e.g. False
• opportunity_url — e.g. https://www.grants.gov/search-results-detail/361304
• record_type (string) — e.g. grant_opportunity_record
• delta_type (string/null) — null in every sample row
• delta_kinds (array/null) — null in every sample row

✅ What you get

• record_key (string/null) — e.g. grants:363926
• opportunity_id — e.g. 363926
• opportunity_number — e.g. RFA-NS-28-009
• title — e.g. Amyotrophic Lateral Sclerosis (ALS) Intermediate Patient Population Expanded Acc
• agency — e.g. National Institutes of Health
• agency_code — e.g. HHS-NIH11
• cfda_list — e.g. ["93.853"]
• open_date — e.g. 09/23/2026
• close_date — e.g. 11/03/2026
• opp_status — e.g. forecasted
• doc_type — e.g. forecast
• detail_read — e.g. False
• opportunity_url — e.g. https://www.grants.gov/search-results-detail/363926
• record_type (string) — e.g. grant_opportunity_record
• delta_type (string/null) — null in every sample row
• delta_kinds (array/null) — null in every sample row

✅ What you get

• record_key (string/null) — e.g. grants:363869
• opportunity_id — e.g. 363869
• opportunity_number — e.g. DE-FOA-0003657
• title — e.g. The DOE Quantum Genesis Q Competition
• agency — e.g. Office of Science
• agency_code — e.g. PAMS-SC
• cfda_list — e.g. ["81.049"]
• open_date — e.g. 09/17/2026
• close_date — e.g. 10/19/2026
• opp_status — e.g. posted
• doc_type — e.g. synopsis
• detail_read — e.g. False
• opportunity_url — e.g. https://www.grants.gov/search-results-detail/363869
• record_type (string) — e.g. grant_opportunity_record
• delta_type (string/null) — null in every sample row
• delta_kinds (array/null) — null in every sample row

Every run also writes a RUN_RECEIPT record to its key-value store with the source checks it made and the counts it charged — diagnostics never land in the paid dataset.

⚙️ Sample inputs

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

{
  "opp_statuses": "forecasted|posted",
  "max_items": 10,
  "max_detail_reads": 10,
  "watch_mode": false,
  "baseline_id": "default"
}

The sample run charged exactly: 1 × $0.02 apify-actor-start + 1 × $0.10 source-check + 0 × $0.20 grant-opportunity-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

{
  "opp_statuses": "forecasted|posted",
  "max_items": 5,
  "max_detail_reads": 10,
  "watch_mode": false,
  "baseline_id": "default"
}

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

3. Optional watch mode (changes only, for a schedule)

{
  "opp_statuses": "forecasted|posted",
  "max_items": 10,
  "max_detail_reads": 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 $0.20 each plus the $0.10 source check; billed deltas are capped at 500 per run.

🧾 JSON sample record

One real record from run tPl1pAxYxDS6exUOX, exactly as it lands in the dataset (emails masked, long text shortened):

{
  "record_key": "grants:361304",
  "opportunity_id": "361304",
  "opportunity_number": "PAR-27-045",
  "title": "HEAL Initiative: Whole Joint Health Program (R61/R33 Clinical Trial Required)",
  "agency": "National Institutes of Health",
  "agency_code": "HHS-NIH11",
  "cfda_list": [
    "93.121",
    "93.213",
    "93.273",
    "93.286",
    "93.473",
    "93.846",
    "93.853",
    "93.866"
  ],
  "open_date": "09/28/2026",
  "close_date": "10/30/2026",
  "opp_status": "posted",
  "doc_type": "synopsis",
  "detail_read": false,
  "opportunity_url": "https://www.grants.gov/search-results-detail/361304",
  "record_type": "grant_opportunity_record",
  "schema_version": "1.0",
  "output_mode": "preview",
  "preview_cap": 25,
  "preview_truncated": 0
}

🔧 How it works

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

Transport. Plain HTTPS from the Apify platform, no proxy. robots.txt is read first and a disallowed path is never fetched. Every request carries an identified contact User-Agent.

Watch semantics. Snapshot mode (watch_mode: false) returns a preview capped at 25 records. Watch mode keys every record on a source-native id, stores a private baseline in a named key-value store, and on each later run emits one delta row per change (new / changed / removed). A blocked fetch is never diffed, so a source outage cannot show up as a mass removal.

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 opportunity delta is charged at the moment it is pushed (grant-opportunity-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.

🔧 How it works

🔧 How it works

One delta type per Actor

This Actor watches deadline-amendment 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.

⏰ Optional: run it on a schedule

A single run returns the current records. If you also want to be told what changed over time, open the actor in Apify Console → Schedules → Create new, add this actor with the watch-mode input above (watch_mode: true) so each run returns only the changes, and pick a cadence:

• Daily — 0 7 * * * (07:00 UTC): catch changes within a day.
• Weekly — 0 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

Event	Free	Bronze	Silver	Gold
Actor Start (apify-actor-start)	$0.02	$0.02	$0.02	$0.02
Source check (source-check)	$0.10	$0.09	$0.08	$0.067
Grant Opportunity Delta (grant-opportunity-delta)	$0.20	$0.18	$0.16	$0.134

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

• 8 grant opportunity deltas: $0.02 start + $0.10 source check + 8 × $0.20 = $1.72
• 25 grant opportunity deltas: $0.02 start + $0.10 source check + 25 × $0.20 = $5.12
• 1000 grant opportunity deltas: $0.02 start + $0.10 source check + 1000 × $0.20 = $200.12

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: NORMAL: emitted 10 item(s). 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.

⚖️ Legal & ToS

This actor reads public, logged-out pages and feeds published by api.grants.gov. It collects only what the source publishes to any visitor, keeps to the source's robots rules (checked on every run), 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) 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 1000); 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 scrapers actors?
A: Same output shape and billing model; this one covers api.grants.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.

🔗 Related Actors

• UKRI Project Status Scraper — Scrape UKRI research project status: project, organisation, status and status changes. Every run returns the current records as a dataset. Optional w…
• California Grant Deadlines Scraper — Scrape California state grant deadlines from the Grants Portal: program, agency, closing date and deadline changes. Every run returns the current rec…
• California Grant Opportunities Scraper — Scrape California state grant opportunities from the Grants Portal: program, agency, amount and closing date. Every run returns the current records a…
• US Grants.gov Eligibility Changes Scraper — Scrape US Grants.gov applicant eligibility changes: opportunity, agency and eligibility before and after. Every run returns the current records as a…
• US Grants.gov Forecast to Posted Scraper — Scrape US Grants.gov opportunities that moved from forecast to posted: opportunity, agency, amount and dates. Every run returns the current records a…
• US Grants.gov Award Amount Changes Scraper — Scrape US Grants.gov award funding range changes: opportunity, agency, old and new award floor and ceiling. Every run returns the current records as…
• 🏢 About NexGen Watch — NexGen Watch is a catalog of more than 300 public data actors built on official sources, pay-per-result. Browse the catalog at apify.com/nexgenwatch.

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