EmploymentHero Scraper - Jobs, Salaries & Company Profiles

What EmploymentHero Scraper can do

• Four ways in. Search the marketplace by keyword and filters, scrape employers by slug, paste job or employer links, or pull webinars, partners and case studies from the resource library.
• Everything on every role. Pay range and rate, employment type and term, experience level, workplace type, city with region and postcode, sector, team, employer identity and the full description come on every row without extra reads.
• Employer profiles, not just jobs. Employer rows carry the company website, about text, logo and open-role count, so you can map the whole employer landscape.
• Filters that actually narrow. Country, sector, workplace type, employment type, experience level, posted-within days, city radius and sort are applied by the site's own search, and each one is covered by a test that proves it narrows.
• Events and partners included. Webinars and on-demand events, the partner directory with services and client size, customer case studies, news and quick demos come from the same run settings.
• Built for schedules. Incremental mode returns only new and changed roles on recurring runs, and a refused run fails loudly instead of returning an empty dataset.

Choose what to collect

These inputs let you configure EmploymentHero Scraper - Jobs, Salaries & Company Profiles. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "kind": "job",
  "id": "10000001",
  "jobId": "aa000000-0000-4000-8000-000000000001",
  "friendlyId": "sample-employer-sample-role-abc12",
  "url": "https://employmenthero.com/jobs/position/sample-employer-sample-role-abc12/",
  "title": "Sample Role Title",
  "organisationName": "Sample Employer",
  "organisationSlug": "sample-employer",
  "organisationUrl": "https://employmenthero.com/jobs/organisations/sample-employer/",
  "employmentType": "Full-time",
  "employmentTerm": "Permanent",
  "experienceLevel": "mid_senior",
  "workplaceType": "hybrid",
  "remote": false,
  "salaryMin": 70000,
  "salaryMax": 90000,
  "salaryCurrency": "AUD",
  "salaryRate": "Annum",
  "salaryDisplay": "AUD 70,000 - 90,000 Annum",
  "payHidden": false,
  "location": "Sample Suburb, New South Wales 2000",
  "locationCity": "Sample Suburb",
  "locationRegion": "New South Wales",
  "locationPostcode": "2000",
  "countryCode": "AU",
  "sectorName": "Hospitality & Catering",
  "sectorId": 16,
  "teamName": "Kitchen",
  "postedAt": "2026-10-08T22:14:30Z",
  "eoi": false,
  "organisationId": "aa000000-0000-4000-8000-000000000002",
  "organisationLogo": "https://employmenthero.com/wp-content/uploads/sample-logo.png",
  "isDemoJob": false,
  "companyOverview": "Sample Employer overview text.",
  "description": "<p>The full role description.</p>"
}

Ways to use this data

• Recruiters and sourcing teams: monitor one or many employer careers pages and get alerted to fresh roles the moment they appear.
• Job boards and aggregators: backfill a niche board with structured roles across Australia, Canada, the United Kingdom and New Zealand.
• Market and salary researchers: collect pay ranges by sector, location and experience level at scale.
• Sales and GTM teams: build employer lists by sector and region with websites and open-role counts for targeting.
• HR content teams: track webinars, events and partner directory entries for content planning and partnerships research.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor