USCIS H-1B Employer Data Hub Scraper

Collect H-1B petition approval and denial counts from the official USCIS H-1B Employer Data Hub. Returns initial and continuing approvals/denials per employer, per fiscal year, along with NAICS code, masked tax ID, and location — covering fiscal years 2009 through 2023 (roughly 832,000 records).

This is USCIS's own adjudication data — who actually got approved or denied — not the Department of Labor's LCA wage-attestation filings that most other H-1B datasets are built from. If you want approval rates by employer, this is the source that has them.

USCIS H-1B Employer Data Hub Scraper Features

• Pulls every published fiscal year in one run, or a specific set you choose
• Returns initial and continuing approval/denial counts separately — enough to compute an employer's approval rate for any given year
• Includes NAICS industry code, masked tax ID, and employer city/state/ZIP for every record
• Auto-detects new fiscal years as USCIS publishes them — no waiting on an update to get the latest data
• Handles USCIS's own header-naming inconsistencies across years so every record comes out in the same shape, whether it's from FY2009 or FY2023
• Employer name is null on records where USCIS itself suppresses it for privacy (very low petition counts) — the counts are still returned

What Can You Do With USCIS H-1B Employer Data Hub Data?

• Immigration attorneys — set realistic client expectations by pulling an employer's historical approval rate before filing
• Foreign workers evaluating offers — compare a prospective employer's approval/denial history against competitors before accepting
• Recruiters and staffing agencies — screen client companies for H-1B sponsorship reliability, not just whether they've filed before
• Researchers and journalists — analyze approval trends by industry (NAICS), state, or year across a 15-year window
• Compliance and HR teams — benchmark your own company's approval rate against peers in the same NAICS code

How USCIS H-1B Employer Data Hub Scraper Works

1. Pick which fiscal years you want, or leave it blank for everything USCIS has published.
2. The actor fetches each fiscal year's dataset from USCIS and normalizes the records into one consistent schema — USCIS has renamed its own column headers more than once since 2009, and that gets ironed out here.
3. Records save to your dataset as they're processed, so a capped run (via maxItems) still returns clean, complete rows rather than a partial file.

Input

{
  "maxItems": 15,
  "fiscalYears": ["2022", "2023"]
}

Field	Type	Default	Description
maxItems	Integer	15	Maximum number of records to collect across all selected fiscal years
fiscalYears	Array of strings	(all years)	Fiscal years to include, e.g. ["2022", "2023"]. Leave empty to collect every fiscal year USCIS has published

USCIS H-1B Employer Data Hub Scraper Output Fields

{
  "fiscalYear": "2023",
  "employerName": "1 800 CONTACTS INC",
  "taxIdMasked": "1643",
  "naicsCode": "42",
  "petitionerCity": "DRAPER",
  "petitionerState": "UT",
  "petitionerZip": "84020",
  "initialApprovals": 0,
  "initialDenials": 0,
  "continuingApprovals": 1,
  "continuingDenials": 0,
  "sourceFile": "h1b_datahubexport-2023.csv"
}

Field	Type	Description
fiscalYear	String	USCIS fiscal year the record covers
employerName	String	Petitioning employer name (null when USCIS suppresses it for low counts)
taxIdMasked	String	Employer tax ID, masked/truncated as published by USCIS
naicsCode	String	Employer industry NAICS code
petitionerCity	String	Employer city
petitionerState	String	Employer state
petitionerZip	String	Employer ZIP code
initialApprovals	Integer	Initial H-1B petitions approved for this employer/year
initialDenials	Integer	Initial H-1B petitions denied for this employer/year
continuingApprovals	Integer	Continuing (extension/amendment) petitions approved
continuingDenials	Integer	Continuing (extension/amendment) petitions denied
sourceFile	String	USCIS source file this record was extracted from

FAQ

How do I scrape the USCIS H-1B Employer Data Hub?

Run this actor with no input for every fiscal year on record, or set fiscalYears to the specific years you need. Each run returns structured JSON — no manual CSV downloads.

What data can I get from the USCIS H-1B Employer Data Hub?

Approval and denial counts for initial and continuing H-1B petitions, broken out by employer and fiscal year, plus NAICS code and location. It's the adjudication outcome — not the wage or job-title data found in DOL LCA filings.

Can I filter by fiscal year?

Yes. Pass an array of years to fiscalYears, e.g. ["2020", "2021", "2022"]. Leave it empty and you get every year USCIS has published, from FY2009 forward.

How much does USCIS H-1B Employer Data Hub Scraper cost to run?

Pay-per-result pricing — a small run fee plus a per-record charge. A full historical pull (~832,000 records) costs more than a filtered single-year run; use maxItems and fiscalYears to control spend.

Does this include the most recent fiscal year?

It includes every year USCIS has published as a downloadable dataset. USCIS publishes new fiscal years periodically, and this actor picks them up automatically on the next run — no waiting for an update.

Need More Features?

Need custom fields, a different filter, or a related USCIS dataset? File an issue or get in touch.

Why Use USCIS H-1B Employer Data Hub Scraper?

• The outcome, not the intent — most H-1B actors scrape DOL LCA filings, which only show who applied to sponsor. This is USCIS's own record of who got approved.
• Fifteen years in one schema — USCIS has changed its own CSV column names more than once since 2009. Every record here comes out the same shape regardless of which fiscal year it's from.
• Self-updating coverage — new fiscal years get picked up automatically as USCIS publishes them, with no actor update required.