US Apprenticeship Sponsor & Employer Leads Scraper avatar

US Apprenticeship Sponsor & Employer Leads Scraper

Pricing

$6.00 / 1,000 apprenticeship sponsor leads

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US Apprenticeship Sponsor & Employer Leads Scraper

US Apprenticeship Sponsor & Employer Leads Scraper

Scrape 26,000+ US registered apprenticeship program sponsors from official US DOL data: employers, union JATCs, colleges & training providers with contact name, email, phone, address, trade & registration date + lead score. Filter by state, trade, category & new sponsors. B2B leads + monitoring.

Pricing

$6.00 / 1,000 apprenticeship sponsor leads

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Scrape Sage

Scrape Sage

Maintained by Community

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0

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2

Total users

1

Monthly active users

4 days ago

Last modified

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Turn the official U.S. Department of Labor Office of Apprenticeship partner-sponsor registry into a clean, ready-to-use B2B lead list. Every organization that sponsors a Registered Apprenticeship program in the United States — employers, union joint apprenticeship & training committees (JATCs), community colleges & technical schools, workforce boards and industry associations / intermediaries — with a named contact, e-mail, phone, website, full mailing address, the program registration date (a fresh "newly-registered sponsor" buying signal), a derived sponsor category, trade hints and a 0-100 lead score.

No login, no API key, no browser — one official, keyless government CSV, parsed into ~26,000+ structured sponsor leads across all 50 states, DC, Puerto Rico, Guam and the territories.

Why this scraper?

Generic crawlers and the apprenticeship.gov Partner Finder let you look at sponsors one page at a time. This actor ships the whole registry as one enriched, filterable dataset — deduplicated, contact-normalized, categorized and lead-scored — so you can build a targeted prospecting list in seconds.

Dataapprenticeship.gov Partner FinderThis actor
Organization name & full address✅ (one page at a time)✅ all ~26k at once
Contact personpartial✅ ~19% (cleaned & de-duplicated)
E-mail❌ not exportable✅ ~58%
Phone❌ not exportable✅ ~53%
Websitepartial✅ when published
Program registration date (fresh-lead signal)✅ 100%
Derived sponsor category (employer / union JATC / college / workforce / association)
Trade / occupation hints (electrical, plumbing, HVAC, healthcare, IT…)
Filter by state, city, county, ZIP, trade, category, recencylimited
Lead score + lead signals✅ 0-100
Newly-registered-only / changed-only monitoring
Export CSV / JSON / Excel / API

Use cases

  • Lead generation — apprenticeship sponsors are employers actively investing in workforce development. Export them with contact, e-mail and phone and feed your CRM or outreach sequence.
  • Sell to skilled-trade employers — tool, equipment, safety, uniform, insurance, benefits, payroll and HR-tech vendors can target sponsors by trade (electrical, plumbing, HVAC, manufacturing, healthcare…) and state.
  • Training & EdTech — related-technical-instruction (RTI) providers, community colleges, LMS and apprenticeship-management platforms can reach sponsors that need curriculum, instruction and software.
  • Staffing & recruiting — find employers and JATCs building their own talent pipelines.
  • Grant & workforce consulting — target newly-registered sponsors for state apprenticeship-expansion grants and tax credits.
  • Market & competitive research — map the Registered Apprenticeship landscape by state, trade and sponsor type.

How to use

  1. Sign up for Apify — the free plan is enough to try this actor.
  2. Open the US Apprenticeship Sponsor & Employer Leads Scraper, choose your filters (states, trades, sponsor category, "newly-registered only", "with e-mail only"…), and set Max results.
  3. Click Start and watch results stream into the dataset table.
  4. Export as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the Apify API.

Input

{
"states": ["TX", "CA"],
"tradeKeywords": ["electrical", "hvac"],
"sponsorCategories": ["employer", "union_jatc"],
"withEmailOnly": true,
"sortBy": "leadScore",
"maxResults": 1000
}
  • states — USPS state/territory codes (e.g. CA, TX, PR). Empty = whole United States.
  • sponsorCategoriesemployer, union_jatc, educational, government_workforce, association_nonprofit, other (derived from the organization name).
  • tradeKeywords — keep only sponsors whose name or derived trade hints match (e.g. electrical, plumbing, hvac, healthcare, manufacturing, welding, it).
  • cities / counties / zipCodes / nameQuery — narrow by location or organization name.
  • newlyRegisteredOnly / registeredInLastDays / registeredAfter / registeredBefore — target by program registration date (the freshest leads).
  • withEmailOnly / withPhoneOnly / withContactPersonOnly / withWebsiteOnly / withAnyContactOnly — keep only contactable records.
  • minLeadScore — keep only records at or above a 0-100 lead score.
  • sortByleadScore (default), newestRegistered, oldestRegistered, name, state, source.
  • maxResults — cap the number of records returned.
  • monitorMode / monitorKey — only return sponsors new or changed since the last run with the same key (ideal on a Schedule).
  • includeRawFields — attach the original source row under sourceFields.
  • proxyConfiguration — optional; the source is a public government file and needs no proxy by default.

Output

One clean, dense table — every column applies to every row. A sponsor record:

{
"recordType": "apprenticeshipSponsor",
"organizationName": "Daylight Electric",
"sponsorCategory": "employer",
"sponsorCategoryLabel": "Employer / Company",
"isEmployer": true,
"isUnionProgram": false,
"trades": ["electrical"],
"contactPerson": "Aubrey Day",
"email": "info@daylightelectricak.com",
"phone": "(907) 317-5287",
"website": "http://www.daylightelectricak.com",
"street": "3447 East 68th Avenue",
"city": "Anchorage",
"state": "AK",
"stateName": "Alaska",
"zip": "99507",
"county": "Anchorage Municipality",
"fullAddress": "3447 East 68th Avenue, Anchorage, AK, 99507",
"registeredDate": "2025-05-27",
"registeredYear": 2025,
"registeredWithinDays": 391,
"isNewlyRegistered": false,
"hasEmail": true,
"hasPhone": true,
"leadScore": 99,
"leadSignals": ["Named contact: Aubrey Day", "Registered within last 2 years", "Direct employer sponsor", "Trades: electrical"],
"source": "US DOL Office of Apprenticeship — Partner Sponsors",
"sourceUrl": "https://www.apprenticeship.gov/sites/default/files/wps/oa_partner_sponsors.csv",
"scrapedAt": "2026-06-22T03:47:00.000Z"
}

What to expect (field coverage)

This is official government data entered by sponsors, so contact fields are present whenever the sponsor provided them. Verified across the full national file:

FieldCoverage
Organization name, full mailing address, state~100%
Program registration date100%
County~76%
E-mail~58%
Phone~53%
Named contact person~19%
Websitepublished only

sponsorCategory and trades are derived from the organization name (best-effort classification) — useful for segmentation; the raw fields are always preserved under sourceFields when includeRawFields is on.

Run programmatically

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });
const run = await client.actor('scrapesage/apprenticeship-sponsor-leads-scraper').call({
states: ['TX'],
tradeKeywords: ['electrical'],
withEmailOnly: true,
sortBy: 'newestRegistered',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} apprenticeship sponsor leads`);
  • Apify API — start runs, fetch the dataset, manage the actor.
  • Webhooks — trigger downstream actions (CRM import, Slack alert, e-mail sequence) the moment a run finishes.

Integrate with any app

Connect the dataset to 5,000+ apps — no code required:

  • Make — multi-step automation scenarios.
  • Zapier — push new sponsor leads straight into your CRM.
  • Slack — get notified when a monitored state gets a new or changed sponsor.
  • Google Drive / Sheets — auto-export every run to a spreadsheet.
  • Airbyte — pipe results into your data warehouse.
  • GitHub — trigger runs from commits or releases.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the Apify MCP server — ask your assistant to "find every newly-registered electrical apprenticeship sponsor in Texas with an e-mail and a lead score above 80" and let it run the scraper for you.

More scrapers from scrapesage

Build a complete workforce, employer & B2B lead-gen stack:

Tips

  • Newly-registered sponsors: set newlyRegisteredOnly: true (or registeredInLastDays: 180) and sort by newestRegistered to reach employers right after they launch an apprenticeship — the highest-intent window.
  • Target a trade: combine tradeKeywords: ["electrical"] with withEmailOnly: true for a clean, contactable list of electrical sponsors.
  • Employers only: set sponsorCategories: ["employer"] to drop union JATCs, colleges and agencies and focus on direct company accounts.
  • Recurring monitoring: combine Schedules with monitorMode to capture only sponsors added or changed since the last run — a steady feed of fresh leads.

FAQ

Where does the data come from? From the official U.S. Department of Labor, Office of Apprenticeship "Partner Sponsors" extract — the same public file that powers the apprenticeship.gov Partner Finder. It lists organizations sponsoring Registered Apprenticeship programs nationwide.

Does it need an API key or login? No. The source is a single public government CSV — no key, no login, no browser, no proxy required.

How fresh is it? The file is downloaded live on every run, so you always get the current registry. Run on a Schedule with monitoring mode to capture newly-registered sponsors as they appear.

Does it include e-mails and phones? Yes — about 58% of sponsors carry an e-mail and 53% a phone, straight from the federal source. We never fabricate contact data.

What is a Registered Apprenticeship "sponsor"? A sponsor is the organization responsible for a Registered Apprenticeship program. It can be a single employer, a group of employers, a union joint apprenticeship & training committee (JATC), a college or technical school, a workforce board, or an industry association acting as an intermediary.

What are sponsorCategory and trades? They are derived from the organization name as a best-effort classification to help you segment the list. The original, unmodified source row is always available under sourceFields.

Can I export to Google Sheets, CSV, or Excel? Yes — one click in the dataset view, or automatically on every run via the Google Drive integration.

Is scraping this data legal? This actor collects publicly available U.S. government data. You're responsible for using it in compliance with applicable laws and the agency's terms.

Need help?

Open an issue on the actor's Issues tab, or visit the Apify help center. Feature requests are welcome — this actor is actively maintained.