# DOL Wage & Hour Violations Search (WHD Enforcement) (`hamsmoothie/dol-wage-hour-violations`) Actor

Search US Department of Labor Wage and Hour Division closed enforcement cases: employer, state, NAICS, back wages, penalties, repeat violators.

- **URL**: https://apify.com/hamsmoothie/dol-wage-hour-violations.md
- **Developed by:** [Maybe Quark](https://apify.com/hamsmoothie) (community)
- **Categories:** Other, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 whd enforcement cases

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 wage hour violations

Search US Department of Labor Wage and Hour Division (WHD) closed enforcement cases by employer, state, industry (NAICS), date and back wages. Each row is one concluded WHD compliance action, with violations found, back wages agreed, civil money penalties and an optional per-statute breakdown.

### Who it is for

- Due-diligence, vendor-risk and compliance teams screening employers and contractors
- Employment lawyers and journalists looking for repeat wage violators
- Staffing, payroll and insurance analysts building industry risk lists
- Sales teams selling HR/payroll compliance services to high-violation industries

### What each row has

| Field | Example |
|---|---|
| case_id | 5104087 |
| legal_name / trade_name | David & Deike Interests, LLC / Texas Landscape Creations |
| city, state, zip | College Station, TX, 77845 |
| naics_code / naics_description | 561730 / Landscaping Services |
| violations_count | 1 |
| back_wages_agreed | 12500.0 |
| civil_money_penalties_assessed | 0.0 |
| employees_owed_back_wages | 8 |
| findings_start_date / findings_end_date | 2024-06-06 / 2026-06-06 |
| repeat_violator | flag from WHD data |
| violation_types | list of statutes with back wages |
| url | link to the source record |

### Three use cases

1. Screen a vendor or acquisition target: set employerName and leave state empty.
2. Build a prospect list of restaurants in Florida with back wages over $10,000: state FL, naicsPrefix 72, minBackWages 10000.
3. Monitor an industry monthly: set findingsEndDateFrom to the last run date.

### How to use

Run it in the Apify Console, or call the API:

curl -X POST "https://api.apify.com/v2/acts/hamsmoothie~dol-wage-hour-violations/run-sync-get-dataset-items?token=YOUR_TOKEN" -H "Content-Type: application/json" -d '{"state":"TX","naicsPrefix":"72","maxResults":50}'

The actor can also be used from AI agents through the Apify MCP server (mcp.apify.com): add this actor as a tool and ask for employer wage violations in natural language.

### FAQ

**Is this legal advice?** No. It is a data lookup of public records.
**Does it include open investigations?** No, only concluded cases (WHD publishes closed actions since FY2005).
**How fresh is the data?** It follows the public WHD dataset refreshes, typically quarterly.
**Why zero rows?** Loosen filters: clear the name, lower the date, or untick violations only.

### Pricing

Pay per result (about $2 per 1,000 rows). You only pay for rows delivered.

### Data source

US DOL Wage and Hour Division Compliance Action Data (public domain), read through a public Datasette mirror of the WHISARD data at labordata.bunkum.us. No logins, no personal data of individuals.

### Related compliance tools

Other Maybe Quark actors: contractor-license-verifier, healthcare-license-verifier, exclusion-debarment-screener, fmcsa-carrier-safety-lookup, secretary-of-state-business-search, npi-registry-lookup.

# Actor input Schema

## `employerName` (type: `string`):

Matches legal name or trade name (case-insensitive substring). Leave empty for no name filter.

## `state` (type: `string`):

US state code such as TX, FL, CA. Leave empty for all states.

## `naicsPrefix` (type: `string`):

Industry filter, e.g. 72 for accommodation and food, 23 for construction.

## `findingsEndDateFrom` (type: `string`):

ISO date YYYY-MM-DD.

## `minBackWages` (type: `integer`):

Only cases with at least this much back wages agreed to be paid. 0 for no minimum.

## `violationsOnly` (type: `boolean`):

Skip cases where no violation was found.

## `repeatViolatorsOnly` (type: `boolean`):

Keep only cases flagged as FLSA repeat violators.

## `includeViolationTypes` (type: `boolean`):

Add the statutes violated (FLSA, FMLA, H-2A, etc.) with per-statute back wages.

## `maxResults` (type: `integer`):

Maximum rows to return.

## Actor input object example

```json
{
  "state": "TX",
  "findingsEndDateFrom": "2025-01-01",
  "minBackWages": 0,
  "violationsOnly": true,
  "repeatViolatorsOnly": false,
  "includeViolationTypes": true,
  "maxResults": 100
}
```

# 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 = {
    "employerName": "",
    "naicsPrefix": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("hamsmoothie/dol-wage-hour-violations").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 = {
    "employerName": "",
    "naicsPrefix": "",
}

# Run the Actor and wait for it to finish
run = client.actor("hamsmoothie/dol-wage-hour-violations").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 '{
  "employerName": "",
  "naicsPrefix": ""
}' |
apify call hamsmoothie/dol-wage-hour-violations --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hamsmoothie/dol-wage-hour-violations"
        }
    }
}
```

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/7oaqwTmdVXaMPRRfE/builds/g8gYgcTDhSbbdf74i/openapi.json