US HHS-OIG Exclusion List Scraper

🚨 US HHS-OIG Exclusion List Scraper

Scrape the US HHS-OIG exclusion list (LEIE): excluded individuals and entities, exclusion type, date and reinstatements. 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). Built by NexGen Watch on Apify.

Monthly additions to and reinstatements from the HHS-OIG List of Excluded Individuals and Entities (LEIE). OIG publishes the change files monthly and in arrears, so this reports each newly published month — it is not a daily feed, and a quiet week is the source's cadence, not a gap.

Output is one exclusion_record row per result; billing is pay-per-event, the value event being one exclusion delta (a $0.02 start fee per run, then $0.15 per exclusion delta plus one $0.10 source check per run that reads the source). Source: oig.hhs.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

Buyers usually search for OIG exclusion list or LEIE.

• Compliance, KYC and AML teams checking OIG exclusion list.
• Legal and risk teams monitoring LEIE for clients and counterparties.
• Journalists and researchers tracking regulatory action.

📊 Sample Output

Real rows from run kwCORwPPApaNJvgSW on build 0.1.31 (2026-09-28), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

change_kind	source_file	business_name	general	specialty	excl_date
exclusion_added	2608excl.csv	AMERIHEALTH SOLUTIONS CORP	OTHER BUSINESS	CLINIC	20260818
exclusion_added	2608excl.csv	DYD UNIVERSE, INC	OTHER BUSINESS	TRANSPORTATION CO	20260920
exclusion_added	2608excl.csv	HOJO DETAIL CENTER INC	OTHER BUSINESS	TRANSPORTATION CO	20260920
exclusion_added	2608excl.csv	JAYS AUTO CARE INC	OTHER BUSINESS	TRANSPORTATION CO	20260920
exclusion_added	2608excl.csv	JIM JIM RENTALS, INC	OTHER BUSINESS	TRANSPORTATION CO	20260920
exclusion_added	2608excl.csv	JOBECA SERVICES INC	OTHER BUSINESS	CLINIC	20260815
exclusion_added	2608excl.csv	LIFE TOUCH, LLC	OTHER BUSINESS	SUBSTANCE ABUSE REHA	20260920
exclusion_added	2608excl.csv	NJ GOLDEN HOME CARE CORP	OTHER BUSINESS	HOME HEALTH AGENCY	20260920

The run finished with the status message: NORMAL: emitted 10 item(s)

✅ What you get

One row per record delivered by US HHS-OIG Exclusion Change Watch; 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. oig:excl:2608:npi:1528943032
• change_kind (string/number/integer/boolean/null) — e.g. exclusion_added
• file_month (string/number/integer/boolean/null) — e.g. 2608
• source_file (string/number/integer/boolean/null) — e.g. 2608excl.csv
• last_name (string/number/integer/boolean/null) — null in every sample row
• first_name (string/number/integer/boolean/null) — null in every sample row
• business_name (string/number/integer/boolean/null) — e.g. AMERIHEALTH SOLUTIONS CORP
• npi (string/number/integer/boolean/null) — e.g. 1528943032
• general (string/number/integer/boolean/null) — e.g. OTHER BUSINESS
• specialty (string/number/integer/boolean/null) — e.g. CLINIC
• excl_type (string/number/integer/boolean/null) — e.g. 1128b7
• excl_date (string/number/integer/boolean/null) — e.g. 20260818
• excl_date_iso (string/number/integer/boolean/null) — e.g. 2026-08-18
• rein_date (string/number/integer/boolean/null) — null in every sample row
• rein_date_iso (string/number/integer/boolean/null) — null in every sample row
• waiver_date (string/number/integer/boolean/null) — null in every sample row
• city (string/number/integer/boolean/null) — e.g. MIAMI
• state (string/number/integer/boolean/null) — e.g. FL
• zip (string/number/integer/boolean/null) — e.g. 33166
• record_type (string) — e.g. exclusion_record
• delta_type (string/null) — null in every sample row
• before (object/array/string/number/integer/boolean/null) — null in every sample row
• after (object/array/string/number/integer/boolean/null) — null in every sample row
• changed_fields (array/object/string/null) — null in every sample row
• observed_at (string/null) — null in every sample row

✅ What you get

✅ What you get

• record_key (string/null) — e.g. oig:excl:2608:npi:1528943032
• change_kind — e.g. exclusion_added
• file_month — e.g. 2608
• source_file — e.g. 2608excl.csv
• last_name — null in every sample row
• first_name — null in every sample row
• business_name — e.g. AMERIHEALTH SOLUTIONS CORP
• npi — e.g. 1528943032
• general — e.g. OTHER BUSINESS
• specialty — e.g. CLINIC
• excl_type — e.g. 1128b7
• excl_date — e.g. 20260818
• excl_date_iso — e.g. 2026-08-18
• rein_date — null in every sample row
• rein_date_iso — null in every sample row
• waiver_date — null in every sample row
• city — e.g. MIAMI
• state — e.g. FL
• zip — e.g. 33166
• record_type (string) — e.g. exclusion_record
• delta_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)

{
  "months": 1,
  "kinds": [
    "excl"
  ],
  "states": [],
  "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 × $0.15 exclusion-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

{
  "months": 1,
  "kinds": [
    "excl"
  ],
  "states": [],
  "watch_mode": false,
  "baseline_id": "default",
  "max_items": 5
}

Caps the run at 5 rows; same billing shape as the sample run above.

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

{
  "months": 1,
  "kinds": [
    "excl"
  ],
  "states": [],
  "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 $0.15 each plus the $0.10 source check; billed deltas are capped at 500 per run.

🧾 JSON sample record

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

{
  "record_key": "oig:excl:2608:npi:1528943032",
  "change_kind": "exclusion_added",
  "file_month": "2608",
  "source_file": "2608excl.csv",
  "last_name": null,
  "first_name": null,
  "business_name": "AMERIHEALTH SOLUTIONS CORP",
  "npi": "1528943032",
  "general": "OTHER BUSINESS",
  "specialty": "CLINIC",
  "excl_type": "1128b7",
  "excl_date": "20260818",
  "excl_date_iso": "2026-08-18",
  "rein_date": null,
  "rein_date_iso": null,
  "waiver_date": null,
  "city": "MIAMI",
  "state": "FL",
  "zip": "33166",
  "record_type": "exclusion_record",
  "schema_version": "1.0",
  "output_mode": "preview",
  "preview_cap": 25,
  "preview_truncated": 0
}

🔧 How it works

Source. The actor reads oig.hhs.gov — endpoints: https://oig.hhs.gov/exclusions/exclusions_list.asp. 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 exclusion delta is charged at the moment it is pushed (exclusion-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

HHS-OIG LEIE monthly exclusion and reinstatement files (public, logged-out)

• https://oig.hhs.gov/exclusions/exclusions_list.asp

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

Snapshot mode is a PREVIEW

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

Watch semantics

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.

Source cadence

OIG publishes the change files MONTHLY and IN ARREARS — on 25 July 2026 the newest published month was June. Most runs will correctly report no new month; the delta fires when a new month appears.

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.

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
Exclusion Delta (exclusion-delta)	$0.15	$0.135	$0.12	$0.1005

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

• 8 exclusion deltas: $0.02 start + $0.10 source check + 8 × $0.15 = $1.32
• 25 exclusion deltas: $0.02 start + $0.10 source check + 25 × $0.15 = $3.87
• 2000 exclusion deltas: $0.02 start + $0.10 source check + 2000 × $0.15 = $300.12

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 oig.hhs.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 (oig.hhs.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 2000); 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 enforcement and sanctions scrapers actors?
A: Same output shape and billing model; this one covers oig.hhs.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

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• 🏢 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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