# DOL PERM Green-Card Filings (FY2026 Q3, quarter-to-date) (`nexgenwatch/dol-perm-green-card-filings`) Actor

Structured employer PERM permanent-labor-certification filings — the green-card sponsorship program — read directly from the official U.S.

- **URL**: https://apify.com/nexgenwatch/dol-perm-green-card-filings.md
- **Developed by:** [NexGen Watch](https://apify.com/nexgenwatch) (community)
- **Categories:** Automation, News, Lead generation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 96.6% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $13.40 / 1,000 perm filing records

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🔔 DOL PERM Green-Card Filings (FY2026 Q3, quarter-to-date)

Structured **employer PERM permanent-labor-certification filings** — the green-card sponsorship program — read
directly from the **official U.S. Department of Labor** Office of Foreign Labor Certification (OFLC) **class-A bulk
disclosure workbook** at `https://www.dol.gov/media/PERM_Disclosure_Data_FY2026_Q3.xlsx`. One record per non-empty
case row, carried source-native with the value **unmodified**. Built by NexGen Watch on Apify.

Output is one `perm_filing_record` row per result; billing is pay-per-event, the value event being one perm filing record (a $0.02 start fee per run, then $0.02 per perm filing record). Source: www.dol.gov.

### 📊 Sample Output

[![DOL PERM Green-Card Filings (FY2026 Q3, quarter-to-date) sample output — a table of real perm filing record rows (case_number, case_status, received_date, decision_date) from run jNw5sP9kMep1FVVSg on build 0.1.5](https://api.apify.com/v2/key-value-stores/80Y7h3rmVN5CWK7Mw/records/dol-perm-green-card-filings-sample)](https://apify.com/nexgenwatch/dol-perm-green-card-filings?fpr=2ayu9b)

Real rows from run `jNw5sP9kMep1FVVSg` on build 0.1.5 (2026-09-19), the same input as the Quick start below — every value is as the source published it (emails masked, long text shortened):

| case_number | case_status | received_date | decision_date | occupation_type | employer_name |
|---|---|---|---|---|---|
| G-100-25273-349207 | Withdrawn | 2025-09-30 | 2025-10-01 | Professional occupation | BANK OF AMERICA N.A. |
| G-100-25065-750723 | Withdrawn | 2025-03-06 | 2025-10-07 | Professional occupation | Leidos, Inc. |
| G-100-25304-352984 | Withdrawn | 2025-10-31 | 2025-10-31 | Professional occupation | Vertraus Inc |
| G-100-25274-351545 | Withdrawn | 2025-09-30 | 2025-10-31 | Professional occupation | CLEAR LASER SKIN CLINIC LLC |
| G-100-25274-351750 | Withdrawn | 2025-09-30 | 2025-10-31 | Professional occupation | BYD Motors LLC |
| G-100-25273-349915 | Withdrawn | 2025-09-30 | 2025-10-31 | Professional occupation | Adobe Inc. |
| G-100-25221-232426 | Withdrawn | 2025-08-09 | 2025-10-31 | Professional occupation | eShares, Inc. |
| G-100-25174-119941 | Withdrawn | 2025-06-23 | 2025-10-31 | Professional occupation | CADENA PLATFORMS LLC |

The run finished with the status message: `NORMAL: 50 unique rows (0 duplicates collapsed) from Fri, 07 Aug 2026 18:50:17 GMT. billable=50`

### ✅ 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/null) — e.g. `perm_filing_record`
- `source` (string/null) — e.g. `dol-perm-green-card-filings`
- `program` (string/null) — e.g. `PERM`
- `case_number` (string/null) — e.g. `G-100-25273-349207`
- `case_status` (string/null) — e.g. `Withdrawn`
- `received_date` (string/null) — e.g. `2025-09-30`
- `decision_date` (string/null) — e.g. `2025-10-01`
- `occupation_type` (string/null) — e.g. `Professional occupation`
- `employer_name` (string/null) — e.g. `BANK OF AMERICA N.A.`
- `employer_trade_name` (string/null) — e.g. `Carta, Inc.`
- `employer_city` (string/null) — e.g. `CHARLOTTE`
- `employer_state` (string/null) — e.g. `NC`
- `employer_country` (string/null) — e.g. `UNITED STATES OF AMERICA`
- `employer_naics` (number/string/null) — e.g. `522110`
- `employer_num_employees` (number/string/null) — e.g. `5171`
- `employer_year_commenced` (number/string/null) — e.g. `1904`
- `pwd_number` (string/null) — e.g. `P-100-24261-342631`
- `soc_code` (string/null) — e.g. `15-2031.00`
- `soc_title` (string/null) — e.g. `Operations Research Analysts`
- `job_title` (string/null) — e.g. `VP; Sr Business Control Specialist`
- `wage_from` (number/string/null) — e.g. `117900`
- `wage_to` (number/string/null) — e.g. `118900`
- `wage_per` (string/null) — e.g. `Year`
- `worksite_city` (string/null) — e.g. `New York`
- `worksite_county` (string/null) — e.g. `NEW YORK`
- `worksite_state` (string/null) — e.g. `NY`
- `worksite_bls_area` (string/null) — e.g. `New York-Newark-Jersey City, NY-NJ-PA`
- `quarter_to_date` (string/null) — e.g. `FY2026 Q3`
- `source_attribution` (string/null) — e.g. `U.S. Department of Labor, Office of Foreign Labor Certification`
- `changes_indicated` (string/null) — e.g. `reformatted from the DOL OFLC disclosure workbook to JSON; values unmodified; al`
- `third_party_content` (string/null) — e.g. `none — official U.S. Department of Labor OFLC disclosure data; no third-party ri`
- `allowlist_note` (string/null) — e.g. `STRUCTURAL ALLOW-LIST at ingest: employer/organization, job/occupation, case ide`
- `program_note` (string/null) — e.g. `PERM = the DOL permanent labor certification (green-card sponsorship) program — `
- `quarter_to_date_note` (string/null) — e.g. `FY2026 Q3 QUARTER-TO-DATE living workbook — a moving cut refreshed through the q`
- `source_url` (string/null) — e.g. `https://www.dol.gov/media/PERM_Disclosure_Data_FY2026_Q3.xlsx`
- `record_key` (string/null) — e.g. `G-100-25273-349207`
- `release_date` (string/null) — e.g. `Fri, 07 Aug 2026 18:50:17 GMT`
- `observed_at` (string/null) — e.g. `2026-09-19T18:10:49Z`
- `release_checksum` (string/null) — e.g. `c626ed7db968df7160437e5240d684e7:1786128617.925634`
- `license` (string/null) — e.g. `U.S. public domain — a work of the U.S. Government (17 U.S.C. sec.105). U.S. Dep`
- `attribution` (string/null) — e.g. `U.S. Department of Labor, Office of Foreign Labor Certification (https://www.dol`

**✅ What you get**

- `record_type` (string/null) — e.g. `perm_filing_record`
- `source` (string/null) — e.g. `dol-perm-green-card-filings`
- `program` (string/null) — e.g. `PERM`
- `case_number` (string/null) — e.g. `G-100-25273-349207`
- `case_status` (string/null) — e.g. `Withdrawn`
- `received_date` (string/null) — e.g. `2025-09-30`
- `decision_date` (string/null) — e.g. `2025-10-01`
- `occupation_type` (string/null) — e.g. `Professional occupation`
- `employer_name` (string/null) — e.g. `BANK OF AMERICA N.A.`
- `employer_trade_name` (string/null) — e.g. `Carta, Inc.`
- `employer_city` (string/null) — e.g. `CHARLOTTE`
- `employer_state` (string/null) — e.g. `NC`
- `employer_country` (string/null) — e.g. `UNITED STATES OF AMERICA`
- `employer_naics` (number/string/null) — e.g. `522110`
- `employer_num_employees` (number/string/null) — e.g. `5171`
- `employer_year_commenced` (number/string/null) — e.g. `1904`
- `pwd_number` (string/null) — e.g. `P-100-24261-342631`
- `soc_code` (string/null) — e.g. `15-2031.00`
- `soc_title` (string/null) — e.g. `Operations Research Analysts`
- `job_title` (string/null) — e.g. `VP; Sr Business Control Specialist`
- `wage_from` (number/string/null) — e.g. `117900`
- `wage_to` (number/string/null) — e.g. `118900`
- `wage_per` (string/null) — e.g. `Year`
- `worksite_city` (string/null) — e.g. `New York`
- `worksite_county` (string/null) — e.g. `NEW YORK`
- `worksite_state` (string/null) — e.g. `NY`
- `worksite_bls_area` (string/null) — e.g. `New York-Newark-Jersey City, NY-NJ-PA`
- `quarter_to_date` (string/null) — e.g. `FY2026 Q3`
- `source_attribution` (string/null) — e.g. `U.S. Department of Labor, Office of Foreign Labor Certification`
- `changes_indicated` (string/null) — e.g. `reformatted from the DOL OFLC disclosure workbook to JSON; values unmodified; al`
- `third_party_content` (string/null) — e.g. `none — official U.S. Department of Labor OFLC disclosure data; no third-party ri`
- `allowlist_note` (string/null) — e.g. `STRUCTURAL ALLOW-LIST at ingest: employer/organization, job/occupation, case ide`
- `program_note` (string/null) — e.g. `PERM = the DOL permanent labor certification (green-card sponsorship) program — `
- `quarter_to_date_note` (string/null) — e.g. `FY2026 Q3 QUARTER-TO-DATE living workbook — a moving cut refreshed through the q`
- `source_url` (string/null) — e.g. `https://www.dol.gov/media/PERM_Disclosure_Data_FY2026_Q3.xlsx`
- `record_key` (string/null) — e.g. `G-100-25273-349207`
- `release_date` (string/null) — e.g. `Fri, 07 Aug 2026 18:50:17 GMT`
- `observed_at` (string/null) — e.g. `2026-09-19T17:53:56Z`
- `release_checksum` (string/null) — e.g. `c626ed7db968df7160437e5240d684e7:1786128617.925634`
- `license` (string/null) — e.g. `U.S. public domain — a work of the U.S. Government (17 U.S.C. sec.105). U.S. Dep`
- `attribution` (string/null) — e.g. `U.S. Department of Labor, Office of Foreign Labor Certification (https://www.dol`

**What a record is**

One `perm_filing_record` per PERM (Program Electronic Review Management) permanent-labor-certification case: the
**case identifiers** (`case_number`, `pwd_number`), **case status**, **received / decision dates**, the sponsoring
**employer** (name, trade name, NAICS, number of employees, year commenced, city / state / country), the
**job / occupation** (`soc_code`, `soc_title`, `job_title`, `occupation_type`), the **filed wage** facts
(`wage_from`, `wage_to`, `wage_per`), and the **primary worksite** (`worksite_city`, `worksite_county`,
`worksite_state`, `worksite_bls_area`). The record key is `case_number`.

**What you get**

Each record carries the allow-listed case facts above plus provenance: `quarter_to_date`, `source_attribution`
(U.S. Department of Labor, OFLC), `changes_indicated` (reformatted to JSON; values unmodified; allow-listed columns
only), `allowlist_note`, `program_note`, `quarter_to_date_note`, `source_url`, `record_key`, `license` and
`attribution`. A header canary fails loud on column drift.

### ⚙️ Sample inputs

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

```json
{
  "maxRecords": 10
}
```

The sample run charged exactly: 2 × $0.02 apify-actor-start + 50 × $0.02 perm_filing_record = **$1.04** on the Free tier — every delivered row was billed.

**2. A smaller, narrowed run**

```json
{
  "maxRecords": 5
}
```

Caps the run at 5 rows — about $0.12 on the Free tier ($0.02 start + 5 × $0.02).

**3. A full-size run**

```json
{
  "maxRecords": 2500
}
```

Up to 2500 rows (the schema default for `maxRecords`) — about $50.02 on the Free tier ($0.02 start + 2500 × $0.02) if the source has that many.

**4. A filtered run**

```json
{
  "maxRecords": 10,
  "fieldMatch": {
    "employer_name": "BANK OF AMERICA N.A."
  }
}
```

Keeps only rows whose `employer_name` contains `BANK OF AMERICA N.A.` (a value from the sample run above), matched case-insensitively after the source is read and **before** the `maxRecords` cap, so the cap counts matches and only delivered matches are billed. `searchText` does the same across every column. Zero matches end the run as `EMPTY_SELECTION` with no row charged — if the source has moved on since that sample run, pick a value you see in your own first run. The source is still read in full — this narrows what you receive and pay for, not what the source serves.

### 🧾 JSON sample record

One real record from run `jNw5sP9kMep1FVVSg`, exactly as it lands in the dataset (emails masked, long text shortened):

```json
{
  "record_type": "perm_filing_record",
  "source": "dol-perm-green-card-filings",
  "program": "PERM",
  "case_number": "G-100-25273-349207",
  "case_status": "Withdrawn",
  "received_date": "2025-09-30",
  "decision_date": "2025-10-01",
  "occupation_type": "Professional occupation",
  "employer_name": "BANK OF AMERICA N.A.",
  "employer_trade_name": null,
  "employer_city": "CHARLOTTE",
  "employer_state": "NC",
  "employer_country": "UNITED STATES OF AMERICA",
  "employer_naics": 522110,
  "employer_num_employees": 5171,
  "employer_year_commenced": 1904,
  "pwd_number": "P-100-24261-342631",
  "soc_code": "15-2031.00",
  "soc_title": "Operations Research Analysts",
  "job_title": "VP; Sr Business Control Specialist",
  "wage_from": 117900,
  "wage_to": 118900,
  "wage_per": "Year",
  "worksite_city": "New York",
  "worksite_county": "NEW YORK",
  "worksite_state": "NY",
  "worksite_bls_area": "New York-Newark-Jersey City, NY-NJ-PA",
  "quarter_to_date": "FY2026 Q3",
  "source_attribution": "U.S. Department of Labor, Office of Foreign Labor Certification",
  "changes_indicated": "reformatted from the DOL OFLC disclosure workbook to JSON; values unmodified; allow-listed structural columns only",
  "third_party_content": "none — official U.S. Department of Labor OFLC disclosure data; no third-party rights/trademarks/logos",
  "allowlist_note": "STRUCTURAL ALLOW-LIST at ingest: employer/organization, job/occupation, case identifiers, status, filed wage facts and city+state (coarse) geography ONLY. Attorney, agent, preparer, point-of-contact, e-mail, phone, street address, postal/ZI",
  "program_note": "PERM = the DOL permanent labor certification (green-card sponsorship) program — the first step of employment-based lawful-permanent-residence. This is a DECISION-CLASS filing dataset (received / decision dates, case status) with the employe",
  "quarter_to_date_note": "FY2026 Q3 QUARTER-TO-DATE living workbook — a moving cut refreshed through the quarter, not a final annual file; vintage = source ETag + Last-Modified carried on the run_receipt.",
  "source_url": "https://www.dol.gov/media/PERM_Disclosure_Data_FY2026_Q3.xlsx",
  "record_key": "G-100-25273-349207",
  "release_date": "Fri, 07 Aug 2026 18:50:17 GMT",
  "observed_at": "2026-09-19T18:10:49Z",
  "release_checksum": "c626ed7db968df7160437e5240d684e7:1786128617.925634",
  "license": "U.S. public domain — a work of the U.S. Government (17 U.S.C. sec.105). U.S. Department of Labor, Office of Foreign Labor Certification disclosure data: used, reproduced and distributed without permission and credited to the U.S. Department",
  "attribution": "U.S. Department of Labor, Office of Foreign Labor Certification (https://www.dol.gov/) — public domain"
}
```

### 🔧 How it works

**Source.** The actor reads www.dol.gov — endpoints: `https://www.dol.gov`, `https://www.dol.gov/`, `https://www.dol.gov/media/`. 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. Pacing: `CRAWL_DELAY`=0.0.

**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 perm filing record is charged at the moment it is pushed (`perm_filing_record`); a row that fails to charge is not delivered, so the dataset count always equals the charged count.

**🔧 How it works**

**A different program from the H-1B LCA — not the temporary-visa dataset**

**PERM** is the DOL **permanent labor certification** (green-card) program — the first step of employment-based
**lawful permanent residence**. It is a **different program and decision class** from the **H-1B temporary-visa
Labor Condition Application (LCA)** served by fleet-1's `h1b-visa-salary-search`: PERM is the **permanent-residence
leg** (received/decision dates, case status, filed wage); the H-1B LCA is the **temporary-visa leg**. The two are
**never conflated**. The **LCA master (ETA-9035) was deliberately not built** as a separate cell — this actor is
the permanent-residence decision dataset.

**Structural allow-list at ingest — person and contact columns never leave the source**

The source workbook has **137 columns**, many of them personal or contact data. This actor applies a **structural
allow-list at ingest**: only **employer/organization, job/occupation, case identifiers, status, filed wage facts
and city + state (coarse) geography** are read into a record. Every **attorney/agent, preparer, employer
point-of-contact, e-mail, phone, street address, postal/ZIP code, province, and free-text recruitment/notice**
column is **dropped at ingest and never emitted** — the code only ever copies the allow-listed columns, so a
person/contact field cannot leak. This is verified by an offline test that feeds a row carrying
attorney/contact/e-mail/phone/street values and asserts none reach output, plus a live leak check on the real file.

**Quarter-to-date — a living workbook, not a final file**

This is the **FY2026 Q3 quarter-to-date** workbook: a **moving cut refreshed through the quarter**, not a final
annual file. A `quarter_to_date` label rides every record and the run receipt carries the source **ETag** and
**Last-Modified** as the vintage. The workbook's declared sheet dimension is padded with hundreds of thousands of
**blank rows**; only rows carrying a `case_number` are data — **blank padding is skipped and never billed**
(non-empty-row law).

**Door**

Only the official DOL OFLC bulk disclosure workbook on `www.dol.gov/media` is read (public, logged-out, no API
key). No implied DOL affiliation or endorsement.

**Source & licence**

U.S. public domain — a work of the U.S. Government (17 U.S.C. sec.105). U.S. Department of Labor, Office of Foreign
Labor Certification disclosure data: used, reproduced and distributed without permission and **credited to the U.S.
Department of Labor** (https://www.dol.gov/); no implied DOL affiliation or endorsement; third-party
rights/trademarks/logos excluded. https://www.dol.gov/agencies/eta/foreign-labor/performance

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

### 💰 Pricing example

| Event | Free | Bronze | Silver | Gold |
|---|---|---|---|---|
| Actor Start (`apify-actor-start`) | $0.02 | $0.02 | $0.02 | $0.02 |
| PERM filing record (`perm_filing_record`) | $0.02 | $0.018 | $0.016 | $0.0134 |

Worked at the live Free-tier price:

- 8 perm filing records: $0.02 start + 8 × $0.02 = **$0.18**
- 25 perm filing records: $0.02 start + 25 × $0.02 = **$0.52**
- 2500 perm filing records: $0.02 start + 2500 × $0.02 = **$50.02**

A run that delivers zero rows charges the $0.02 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 4096 MB.

Yield on the sample run: `NORMAL: 50 unique rows (0 duplicates collapsed) from Fri, 07 Aug 2026 18:50:17 GMT. billable=50`. `maxRecords` is a hard ceiling on what is delivered and billed, never a target.

### ⚖️ Legal & ToS

This actor reads public, logged-out pages and feeds published by www.dol.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 (www.dol.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 `maxRecords` (default 2500). 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 NexGen Watch actors actors?**\
A: Same output shape and billing model; this one covers www.dol.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 (`CRAWL_DELAY`=0.0) and honours its robots rules; 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 (`maxRecords`) 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.

### 🔗 Related Actors

- [Colorado Business Entities Master](https://apify.com/nexgenwatch/colorado-business-entities-master?fpr=2ayu9b) — One master record per Colorado business entity (id, name, status, type, formation jurisdiction, formation date, principal + mailing address, register…
- [Czech ARES Company Registry](https://apify.com/nexgenwatch/czech-ares-company-registry?fpr=2ayu9b) — One record per requested ICO — company name, legal form, DIC, registered address, NACE and last-updated date from the official register. Honest scope…
- [DC Basic Business Licenses](https://apify.com/nexgenwatch/dc-basic-business-licenses?fpr=2ayu9b) — One record per DC Basic Business License (category/type, status, effective/expiry dates, premise address, entity + owner/agent names, ward) from the…
- [DOL Prevailing-Wage Determinations (FY2026 Q3, quarter-to-date)](https://apify.com/nexgenwatch/dol-prevailing-wage-determinations?fpr=2ayu9b) — Structured OFLC prevailing-wage determinations (ETA-9141) — the required-wage anchor for every U.S. foreign-labor program — read directly from the of…
- [DOL Prevailing-Wage Worksites (FY2026 Q3, quarter-to-date)](https://apify.com/nexgenwatch/dol-prevailing-wage-worksites?fpr=2ayu9b) — Structured worksite-level prevailing-wage detail — the per-worksite companion to the OFLC prevailing-wage determinations — read directly from the off…
- [ECB Bank (MFI) Balance Sheet Statistics](https://apify.com/nexgenwatch/ecb-bank-balance-sheet?fpr=2ayu9b) — Structured bank (MFI) balance-sheet series from the European Central Bank's official keyless SDMX Data Portal (data-api.ecb.europa.eu, the BSI datafl…
- 🏢 **About NexGenData** — NexGen Watch is NexGenData's fleet of more than 300 public data actors built on official sources, pay-per-result. Browse the catalog at [apify.com/nexgenwatch](https://apify.com/nexgenwatch?fpr=2ayu9b).

### ⭐ Found this useful?

If this actor saved you a manual check, a quick **[review on the Apify Store](https://apify.com/nexgenwatch/dol-perm-green-card-filings?fpr=2ayu9b)** helps other teams find it. Feature request or a source that changed? Open it from the **Issues** tab — every one is read.

# Actor input Schema

## `maxRecords` (type: `integer`):

Max PERM cases delivered (one charge per delivered non-empty case row; blank padding never billed). Hard-capped at 200000. Default 2500. The full FY2026 Q3 workbook is ~112,550 cases.

## `caseStatus` (type: `array`):

Keep only these CASE_STATUS values, e.g. \["Certified"], \["Denied"], \["Withdrawn"], \["Certified-Expired"]. Case-insensitive. Empty = all statuses.

## `employerState` (type: `array`):

Keep only these employer USPS state codes, e.g. \["CA"],\["NY","NJ"]. Empty = all states.

## `worksiteState` (type: `array`):

Keep only these primary-worksite USPS state codes, e.g. \["WA"],\["TX"]. Empty = all states.

## `sinceDecisionDate` (type: `string`):

Keep only cases with DECISION_DATE on/after this ISO date (YYYY-MM-DD), e.g. 2026-04-01. Empty = no date floor.

## `userAgent` (type: `string`):

Override the transparent crawler UA.

## `searchText` (type: `string`):

Optional. Keep only rows where any field contains this text (case-insensitive, substring). Applied after the source is read and BEFORE the maxRecords cap, so the cap counts matches and only delivered matches are billed. Zero matches = EMPTY_SELECTION, nothing charged beyond the start fee.

## `fieldMatch` (type: `object`):

Optional. {"column": "text"} keeps rows whose named output column contains the text (case-insensitive); a list of texts means any of them; several columns must all match. Column names are the dataset fields shown in the sample output. Applied BEFORE the maxRecords cap and before billing.

## Actor input object example

```json
{
  "maxRecords": 10,
  "caseStatus": [],
  "employerState": [],
  "worksiteState": []
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "maxRecords": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgenwatch/dol-perm-green-card-filings").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "maxRecords": 10 }

# Run the Actor and wait for it to finish
run = client.actor("nexgenwatch/dol-perm-green-card-filings").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "maxRecords": 10
}' |
apify call nexgenwatch/dol-perm-green-card-filings --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgenwatch/dol-perm-green-card-filings"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/SD17zDhcmc5lhVRUr/builds/y40lpkh5Nhf4lr0ef/openapi.json