USAspending Federal Awards Scraper — Recipients & Amounts
Pricing
from $17.00 / 1,000 award/modification deltas
USAspending Federal Awards Scraper — Recipients & Amounts
Scrape federal awards from USAspending: recipient, agency, amount, award type and dates, including post-award modifications. Post-award only — not an opportunities feed. Every run returns the current records; optional watch mode returns only changes. Pay per result.
Pricing
from $17.00 / 1,000 award/modification deltas
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🏦 USAspending Federal Awards Scraper — Recipients & Amounts
USAspending federal awards as rows: recipient, awarding agency, amount, award type and dates for awards already made, including post-award modifications.
Scrape US federal awards from USAspending: recipient, agency, amount, award type and dates, including post-award modifications. 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).
POST-AWARD ONLY: awards that have already been made, as published by USAspending. This is NOT an opportunities or solicitations feed and must never be sold as one.
Output is one award_record row per result; billing is pay-per-event, the value event being one award/modification delta (a $0.02 start fee per run, then $0.025 per award/modification delta plus one $0.10 source check per run that reads the source). Source: api.usaspending.gov.
No login, no API key and no CAPTCHA solving are involved: the source is read logged-out with an identified contact User-Agent.
Who buys this
- Government-contracting analysts tracking which recipients win federal awards and for how much.
- Sales teams that sell to federal contractors and want USAspending award data on their accounts.
- Researchers and journalists following federal awards by agency or award type.
📊 Sample Output
Real rows from run ON9kNRECyQNdqVV5N on build 0.1.28 (2026-09-28), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):
| award_id | recipient_name | award_amount | awarding_agency | awarding_sub_agency | start_date |
|---|---|---|---|---|---|
| DEAC0494AL85000 | LOCKHEED MARTIN CORP | 48063737196.35 | Department of Energy | Department of Energy | 1993-10-15 |
| DENA0003525 | NATIONAL TECHNOLOGY & ENGINEERING SOLUTIONS OF SANDIA, LLC | 43198666451.99 | Department of Energy | Department of Energy | 2017-01-18 |
| DEAC0500OR22725 | UT-BATTELLE LLC | 42436211927.7 | Department of Energy | Department of Energy | 1999-10-15 |
| DEAC5207NA27344 | LAWRENCE LIVERMORE NATIONAL SECURITY, LLC | 41519790021.9 | Department of Energy | Department of Energy | 2007-05-09 |
| 89233218CNA000001 | TRIAD NATIONAL SECURITY, LLC | 35199796916.66 | Department of Energy | Department of Energy | 2018-06-08 |
| DENA0001942 | CONSOLIDATED NUCLEAR SECURITY, LLC | 34654023638.7 | Department of Energy | Department of Energy | 2013-01-08 |
| DEAC0576RL01830 | BATTELLE MEMORIAL INSTITUTE | 30912550571.06 | Department of Energy | Department of Energy | 1978-09-15 |
| DEAC0908SR22470 | SAVANNAH RIVER NUCLEAR SOLUTIONS LLC | 27613237659.31 | Department of Energy | Department of Energy | 2008-01-10 |
The run finished with the status message: NORMAL: emitted 10 item(s)
✅ What you get
One row per record delivered by USAspending Federal Award Watch (post-award); in watch mode a delta row carries delta_type, before, after and changed_fields. Field names come from the actor's real output; fields the source does not publish are null.
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.award:DEAC0494AL85000award_id(string/number/integer/boolean/null) — e.g.DEAC0494AL85000recipient_name(string/number/integer/boolean/null) — e.g.LOCKHEED MARTIN CORPaward_amount(string/number/integer/boolean/null) — e.g.48063737196.35awarding_agency(string/number/integer/boolean/null) — e.g.Department of Energyawarding_sub_agency(string/number/integer/boolean/null) — e.g.Department of Energystart_date(string/number/integer/boolean/null) — e.g.1993-10-15end_date(string/number/integer/boolean/null) — e.g.2017-04-30award_stage(string/number/integer/boolean/null) — e.g.post_awardrecord_type(string) — e.g.award_recorddelta_type(string/null) — null in every sample rowbefore(object/array/string/number/integer/boolean/null) — null in every sample rowafter(object/array/string/number/integer/boolean/null) — null in every sample rowchanged_fields(array/object/string/null) — null in every sample rowobserved_at(string/null) — null in every sample row
✅ What you get
✅ What you get
record_key(string/null) — e.g.award:DEAC0494AL85000award_id— e.g.DEAC0494AL85000recipient_name— e.g.LOCKHEED MARTIN CORPaward_amount— e.g.48063737196.35awarding_agency— e.g.Department of Energyawarding_sub_agency— e.g.Department of Energystart_date— e.g.1993-10-15end_date— e.g.2017-04-30award_stage— e.g.post_awardrecord_type(string) — e.g.award_recorddelta_type(string/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)
{"start_date": "2026-07-01","end_date": "2026-07-24","award_type_codes": ["A","B","C","D"],"watch_mode": false,"baseline_id": "default","max_items": 10}
The sample run charged exactly: 1 × $0.02 apify-actor-start + 1 × $0.10 source-check + 0 × $0.025 award-modification-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
{"start_date": "2026-07-01","end_date": "2026-07-24","award_type_codes": ["A","B","C","D"],"watch_mode": false,"baseline_id": "default","max_items": 5}
Caps the run at 5 rows; same billing shape as the sample run above. start_date narrows what the source is asked for.
3. Optional watch mode (changes only, for a schedule)
{"start_date": "2026-07-01","end_date": "2026-07-24","award_type_codes": ["A","B","C","D"],"watch_mode": true,"baseline_id": "default","max_items": 10}
The first run seeds a private baseline and emits zero deltas; every later run emits one row per change, billed at $0.025 each plus the $0.10 source check; billed deltas are capped at 500 per run.
🧾 JSON sample record
One real record from run ON9kNRECyQNdqVV5N, exactly as it lands in the dataset (emails masked, long text shortened):
{"record_key": "award:DEAC0494AL85000","award_id": "DEAC0494AL85000","recipient_name": "LOCKHEED MARTIN CORP","award_amount": 48063737196.35,"awarding_agency": "Department of Energy","awarding_sub_agency": "Department of Energy","start_date": "1993-10-15","end_date": "2017-04-30","award_stage": "post_award","record_type": "award_record","schema_version": "1.0","output_mode": "preview","preview_cap": 25,"preview_truncated": 0}
🔧 How it works
Source. The actor reads api.usaspending.gov — endpoints: https://api.usaspending.gov/api/v2/search/spending_by_award/. 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.
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 award/modification delta is charged at the moment it is pushed (award-modification-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
Source
USAspending v2 spending_by_award (public, logged-out)
Public, logged-out only — no API key, login, cookie or CAPTCHA.
Snapshot mode is a PREVIEW
watch_mode: false returns a preview only: at most 25 records, hard-capped
in code regardless of max_items. Preview records carry output_mode: "preview"
with preview_cap and preview_truncated. It charges no value event. This actor
sells change detection, not bulk record export — use watch mode for the feed.
Watch semantics
The first watch run stores a private baseline and emits zero deltas.
Later runs emit NEW / CHANGED / REMOVED keyed on the source-native id,
with before / after and changed_fields.
Terminal states
NORMAL · SUCCEEDED-0: GENUINE_EMPTY · PARTIAL · BLOCKED.
A zero with no evidence FAILS loud rather than exiting 0 quietly.
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 |
Award/modification delta (award-modification-delta) | $0.025 | $0.0225 | $0.02 | $0.017 |
Worked at the live Free-tier price (watch mode, one delta per change):
- 8 award/modification deltas: $0.02 start + $0.10 source check + 8 × $0.025 = $0.32
- 25 award/modification deltas: $0.02 start + $0.10 source check + 25 × $0.025 = $0.745
- 300 award/modification deltas: $0.02 start + $0.10 source check + 300 × $0.025 = $7.62
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.usaspending.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.usaspending.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 300); 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 public funding registries actors?
A: Same output shape and billing model; this one covers api.usaspending.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
- EU FTS Beneficiary Records Scraper — One structured fundingrecord per record from the official public source, logged-out. Public, robots-honoured
- France ADEME Financial Aid Records Scraper — One structured fundingrecord per record from the official public source, logged-out. Public, robots-honoured
- Poland EU-Funded Projects Scraper — One funding record per EU-co-financed project in Poland (2021-2027) from the official national project list — beneficiary, programme, value, EU co-fi…
- World Bank Projects Funding Registry — One structured fundingrecord per record from the official public source, logged-out. Public, robots-honoured
- 🏢 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.
⭐ Found this useful?
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