# DOL OFLC Prevailing Wage Determination Scraper (`jungle_synthesizer/dol-oflc-prevailing-wage-determination-scraper`) Actor

Extract Prevailing Wage (PW) determinations from DOL OFLC's public disclosure archive — the wage floor behind every H-1B, PERM, H-2B, E-3, and CW-1 case, with wage level, OES area, and wage source.

- **URL**: https://apify.com/jungle\_synthesizer/dol-oflc-prevailing-wage-determination-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** Business, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.80 / 1,000 record scrapeds

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 OFLC Prevailing Wage Determination Scraper

Extract Prevailing Wage (PW) determinations from the [Department of Labor's Office of Foreign Labor Certification](https://www.dol.gov/agencies/eta/foreign-labor/performance) public disclosure archive. Returns the wage floor behind every H-1B, PERM, H-2B, E-3, and CW-1 case — wage level, OES area, wage source, and visa class — across 12 federal fiscal years (FY2015 through the current in-progress year).

***

### DOL OFLC Prevailing Wage Scraper Features

- Covers every fiscal year DOL currently publishes by default — no slicing required to get the full archive
- Returns the OFLC-issued wage rate, wage level (I-IV), wage source (OES, CBA, DBA, SCA, survey), and the OES area the determination is based on
- Filters by fiscal year, visa class, case status, worksite state, or employer name — combine any of them in one run
- Dedupes by case number automatically, even across a fiscal year's form revisions
- Normalizes worksite and employer state to 2-letter codes regardless of which year's file supplied the row
- No account or API key needed — the source data is a public federal disclosure file

***

### Who Uses Prevailing Wage Determination Data?

- **Immigration attorneys** — check the wage floor before filing an H-1B, PERM, or H-2B case
- **Global-mobility and HR teams** — benchmark a role's prevailing wage before extending an offer tied to a work visa
- **Compensation analysts** — build wage-level datasets by SOC code, state, or OES area, or at least the dataset that makes that possible
- **Compliance teams** — audit historical determinations tied to a specific employer or case status
- **Researchers and journalists** — track prevailing-wage trends across programs and years

***

### How DOL OFLC Prevailing Wage Scraper Works

1. Discovers every Prevailing Wage disclosure file currently published on DOL's OFLC performance page — one file per fiscal year.
2. Filters to the fiscal years, visa classes, statuses, states, or employer name you specify. Leave everything blank and it pulls the whole archive.
3. Parses each file and returns one record per determination, with fields normalized to a single consistent schema across every year — so a 2015 record and a 2026 record look the same shape.

***

### Input

```json
{
  "maxItems": 100,
  "fiscalYears": ["2025", "2024"],
  "visaClasses": ["H-1B"],
  "worksiteStates": ["CA", "TX"]
}
```

| Field            | Type    | Default | Description |
|------------------|---------|---------|-------------|
| `maxItems`       | Integer | 10      | Maximum number of records to return across all selected fiscal years. 0 = unlimited (full archive). |
| `fiscalYears`    | Array   | (all)   | Fiscal year(s) to include. Leave empty to pull every fiscal year DOL currently publishes. |
| `visaClasses`    | Array   | (all)   | Filter to specific visa classes: H-1B, H-1B1 Chile, H-1B1 Singapore, E-3 Australian, H-2B, CW-1, PERM. |
| `caseStatuses`   | Array   | (all)   | Filter to specific case statuses (Determination Issued, Withdrawn, etc.). |
| `worksiteStates` | Array   | (all)   | Filter to specific primary worksite US states (2-letter codes). |
| `employerName`   | String  | —       | Filter to records whose employer name contains this string (case-insensitive). |

***

### DOL OFLC Prevailing Wage Scraper Output Fields

```json
{
  "case_number": "P-100-24243-305546",
  "case_status": "Redetermination Modified",
  "determination_date": "2025-02-26",
  "employer_name": "Michigan Conference of Seventh-day Adventists",
  "employer_state": "MI",
  "job_title": "Music Teacher",
  "soc_code": "25-2031",
  "soc_title": "Secondary School Teachers, Except Special and Career/Technical Education",
  "area_of_intended_employment": "Grand Rapids-Wyoming-Kentwood, MI",
  "wage_level": "Level II",
  "prevailing_wage": 55047,
  "pw_unit_of_pay": "Year",
  "wage_source": "OEWS (All Industries)",
  "visa_class": "PERM",
  "worksite_city": "Grand Rapids",
  "worksite_county": "KENT COUNTY",
  "worksite_state": "MI",
  "fiscal_year": "2026",
  "source_file": "PW_Disclosure_Data_FY2026_Q3.xlsx"
}
```

| Field                         | Type   | Description |
|-------------------------------|--------|-------------|
| `case_number`                 | String | Case number |
| `case_status`                 | String | Case status (Determination Issued, Redetermination Affirmed, Withdrawn, etc.) |
| `determination_date`          | String | Date the determination (or redetermination / withdrawal) was decided |
| `employer_name`               | String | Employer legal business name |
| `employer_state`              | String | Employer state (2-letter code) |
| `job_title`                   | String | Job title |
| `soc_code`                    | String | Standard Occupational Classification code |
| `soc_title`                   | String | Standard Occupational Classification title |
| `area_of_intended_employment` | String | OES Metropolitan/Non-Metropolitan Statistical Area the wage is based on (populated mainly for H-2B rows; not published on every fiscal year) |
| `wage_level`                  | String | OES wage level (I, II, III, IV, OES Mean, or N/A) |
| `prevailing_wage`             | Number | OFLC-issued prevailing wage rate |
| `pw_unit_of_pay`              | String | Unit of pay for the prevailing wage rate (Hour, Week, Bi-Weekly, Month, Year) |
| `wage_source`                 | String | Source of the wage determination (OES/OEWS, CBA, DBA, SCA, Alternate Survey, etc.) |
| `visa_class`                  | String | Visa classification underlying the request (H-1B, H-1B1, E-3, H-2B, CW-1, PERM) |
| `worksite_city`               | String | Primary worksite city |
| `worksite_county`             | String | Primary worksite county |
| `worksite_state`              | String | Primary worksite state (2-letter code) |
| `fiscal_year`                 | String | Federal fiscal year of the source file |
| `source_file`                 | String | Source XLSX filename |

***

### FAQ

#### How do I scrape DOL prevailing wage determinations?

Run this actor with no input, and it pulls every fiscal year DOL currently publishes. Set `fiscalYears`, `visaClasses`, `worksiteStates`, or `employerName` to narrow it down.

#### What is a prevailing wage determination?

It's the wage floor the Office of Foreign Labor Certification issues on Form ETA-9141 before an employer can file an H-1B, PERM, H-2B, E-3, or CW-1 case for a given job and location — the minimum the employer has to pay that worker.

#### Can I filter by visa class?

Yes. Set `visaClasses` to any combination of H-1B, H-1B1 Chile, H-1B1 Singapore, E-3 Australian, H-2B, CW-1, and PERM — the PW file covers all of them in one place.

#### How far back does the data go?

Back to federal fiscal year 2015, through the current in-progress fiscal year. DOL OFLC Prevailing Wage Scraper covers all of it by default.

#### Do I need an account or API key for DOL's data?

No. The Prevailing Wage disclosure file is a public federal dataset, no login or key required.

***

### Need More Features?

Need custom fields, filters, or a different target site? [File an issue](https://console.apify.com/actors/issues) or get in touch.

### Why Use DOL OFLC Prevailing Wage Scraper?

- **Full archive by default** — pulls all 12 fiscal years unless you narrow it, so you're never missing a year by accident
- **Built for the PW file specifically** — wage level, OES area, and wage source come through as their own fields, not folded into a generic cross-program schema
- **Consistent output** — state fields are normalized to 2-letter codes across every year, even though DOL's own files switch formats partway through the archive

# Actor input Schema

## `sp_intended_usage` (type: `string`):

What will this data feed? E.g. lead lists, KYB checks, price tracking.

## `sp_improvement_suggestions` (type: `string`):

Provide any feedback or suggestions for improvements.

## `sp_contact` (type: `string`):

We'll personally help with your use case. No spam.

## `maxItems` (type: `integer`):

Maximum number of records to return across all selected fiscal years. 0 = unlimited (full archive).

## `fiscalYears` (type: `array`):

Fiscal year(s) to include. Leave empty to pull every fiscal year DOL currently publishes (the full archive).

## `visaClasses` (type: `array`):

Filter to specific visa classes underlying the prevailing wage request. Leave empty for all.

## `caseStatuses` (type: `array`):

Filter to specific case statuses. Leave empty for all.

## `worksiteStates` (type: `array`):

Filter to specific primary worksite US states (2-letter codes). Leave empty for all states.

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

Filter to records whose employer name contains this string (case-insensitive).

## Actor input object example

```json
{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "maxItems": 10,
  "fiscalYears": [],
  "visaClasses": [],
  "caseStatuses": [],
  "worksiteStates": []
}
```

# 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 = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "maxItems": 10,
    "fiscalYears": [],
    "visaClasses": [],
    "caseStatuses": [],
    "worksiteStates": []
};

// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/dol-oflc-prevailing-wage-determination-scraper").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 = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "maxItems": 10,
    "fiscalYears": [],
    "visaClasses": [],
    "caseStatuses": [],
    "worksiteStates": [],
}

# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/dol-oflc-prevailing-wage-determination-scraper").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 '{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "maxItems": 10,
  "fiscalYears": [],
  "visaClasses": [],
  "caseStatuses": [],
  "worksiteStates": []
}' |
apify call jungle_synthesizer/dol-oflc-prevailing-wage-determination-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jungle_synthesizer/dol-oflc-prevailing-wage-determination-scraper"
        }
    }
}
```

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/4cyN3VoSePReL89p3/builds/I7zzavz0lCSMC140S/openapi.json