DOL Wage and Hour Violations Search by Employer, State and Industry

DOL Wage & Hour Violations Search looks up US Department of Labor Wage and Hour Division (WHD) closed enforcement cases by employer name, state, industry (NAICS prefix), date and back wages. Each row is one concluded WHD compliance action: employer legal and trade name, address, NAICS industry, number of violations found, back wages agreed, civil money penalties, employees affected, the findings dates, a repeat-violator flag and an optional per-statute breakdown. Data is the public WHD compliance action dataset (WHISARD), read through a public Datasette mirror at labordata.bunkum.us.

Input

All fields are optional. This example finds Texas restaurants and hotels (NAICS 72) with at least $10,000 in back wages since 2024:

{
  "state": "TX",
  "naicsPrefix": "72",
  "findingsEndDateFrom": "2024-01-01",
  "minBackWages": 10000,
  "violationsOnly": true,
  "repeatViolatorsOnly": false,
  "includeViolationTypes": true,
  "maxResults": 100
}

• employerName: case-insensitive substring matched against legal name or trade name. Leave empty for no name filter.
• state: US state code such as TX, FL, CA. Empty means all states (default TX).
• naicsPrefix: industry filter, for example 72 for accommodation and food, 23 for construction.
• findingsEndDateFrom: ISO date YYYY-MM-DD (default 2025-01-01).
• minBackWages: only cases with at least this much back wages agreed to be paid (default 0).
• violationsOnly: skip cases where no violation was found (default true).
• repeatViolatorsOnly: keep only cases flagged as FLSA repeat violators (default false).
• includeViolationTypes: add the statutes violated with per-statute back wages (default true).
• maxResults: maximum rows (default 100, capped at 5000).

Output

One row per closed case. Real example row:

{
  "case_id": 5104087,
  "legal_name": "David & Deike Interests, LLC",
  "trade_name": "Texas Landscape Creations",
  "address": "12915 State Highway 30",
  "city": "College Station",
  "state": "TX",
  "zip": "77845",
  "naics_code": "561730",
  "naics_description": "Landscaping Services",
  "violations_count": 1,
  "civil_money_penalties_assessed": 0,
  "back_wages_agreed": 0,
  "employees_owed_back_wages": 0,
  "employees_violated": 0,
  "findings_start_date": "2024-06-06",
  "findings_end_date": "2026-06-06",
  "repeat_violator": "N/A",
  "violation_types": [
    { "statute": "flsa", "violations": 1, "back_wages": 0, "employees": 0, "civil_money_penalty": 0 }
  ],
  "url": "https://labordata.bunkum.us/whisard/cases/5104087"
}

Use cases

Search phrases this actor is built for:

• "Department of Labor wage and hour violations by employer": set employerName and leave state empty to screen a vendor or acquisition target.
• "Employers owing back wages, DOL enforcement": use minBackWages with state and naicsPrefix to build industry risk or prospect lists.
• "Repeat wage violators, WHD enforcement cases": set repeatViolatorsOnly to true.

Typical users are due-diligence and vendor-risk teams, employment lawyers and journalists, payroll and insurance analysts, and HR compliance sales teams. It also works as a tool for AI agents through the Apify MCP server.

Pricing

Pay per result: each case row returned is one billable result, listed at $0.002 per row ($2 per 1,000). Set a maximum charge on the run for a hard ceiling.

Limits

• Only concluded (closed) WHD cases are included, not open investigations.
• Data follows the public WHD dataset refreshes, typically quarterly, and is read through a third-party public mirror.
• maxResults is capped at 5,000 per run. Name search is a substring match, not fuzzy.
• Public records about employers, not legal advice.

FAQ

Does it include open investigations? No, only closed cases.

How fresh is the data? It follows the WHD dataset refresh, usually quarterly.

Why did I get zero rows? Loosen the filters: clear the name, move findingsEndDateFrom earlier, or set violationsOnly to false.