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

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

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from $13.40 / 1,000 perm filing records

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

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.

Pricing

from $13.40 / 1,000 perm filing records

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🔔 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

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_numbercase_statusreceived_datedecision_dateoccupation_typeemployer_name
G-100-25273-349207Withdrawn2025-09-302025-10-01Professional occupationBANK OF AMERICA N.A.
G-100-25065-750723Withdrawn2025-03-062025-10-07Professional occupationLeidos, Inc.
G-100-25304-352984Withdrawn2025-10-312025-10-31Professional occupationVertraus Inc
G-100-25274-351545Withdrawn2025-09-302025-10-31Professional occupationCLEAR LASER SKIN CLINIC LLC
G-100-25274-351750Withdrawn2025-09-302025-10-31Professional occupationBYD Motors LLC
G-100-25273-349915Withdrawn2025-09-302025-10-31Professional occupationAdobe Inc.
G-100-25221-232426Withdrawn2025-08-092025-10-31Professional occupationeShares, Inc.
G-100-25174-119941Withdrawn2025-06-232025-10-31Professional occupationCADENA 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)

{
"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

{
"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

{
"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

{
"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):

{
"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

EventFreeBronzeSilverGold
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.

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.
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