Seek Jobs Scraper

Scrolling Seek page by page and copying roles into a spreadsheet gets old fast. This scraper does the reading for you. Give it a search term and a region, or paste a handful of posting links, and it returns each Seek job as a tidy row: role title, employer, pay range, location, category, posting date, and the apply link. Flip on full details and it opens every posting to grab the complete write-up and advertiser kind too. Pull ten roles or a few hundred, then send them straight to a sheet.

What you get

One posting becomes one row, with the same columns every time. Fields that Seek doesn't show come back as null rather than disappearing, so your table stays rectangular when you load it. Each row covers three things:

• The role — roleTitle, employerName, jobLocation, employmentType, payRange, jobCategory, jobSubcategory, highlightPoints
• The detail — roleSummary, advertiserLabel, advertiserKind, postedDate (the full write-up and advertiser kind fill in when you enable full details)
• Links and meta — postingId, listingLink, applyLink, collectedAt, and errorMessage if a row failed

Quick start

1. Click Try for free to open the input form.
2. Type a role into Search terms and a place into Region — or skip both and paste posting URLs into Direct posting links.
3. Set Posted within and a Results limit to keep the run focused.
4. Tick Open each posting for full details if you want the full write-up and apply link.
5. Hit Start, then download the results as JSON, CSV, Excel, or XML.

Use cases

• Recruiters building a live feed of competing roles in their niche and region
• Job boards and aggregators topping up listings with structured Seek data
• Salary researchers comparing advertised pay across categories and cities
• Market analysts tracking hiring demand by sector over time
• Career coaches pulling fresh openings to share with clients
• Data teams seeding an internal jobs dataset without manual copy-paste

Input

Field	Type	Required	Description
searchQuery	string	One of searchQuery or postingLinks	Role title or keywords to look up on Seek, e.g. registered nurse.
jobRegion	string	No	Place to narrow results to, such as Melbourne, Perth, or Remote.
postedWithin	string	No	Keep only postings from the chosen window: any, 1, 3, 7, or 14 days. Default any.
postingLinks	array of strings	One of searchQuery or postingLinks	Individual Seek posting URLs to grab directly instead of searching.
includeFullDetails	boolean	No	Open each posting's page for the full write-up, advertiser kind, and apply link. Default false.
resultsLimit	integer	No	Largest number of postings to return per run. Default 25 (max 200).
timeoutSeconds	integer	No	Seconds to wait on each request before giving up. Default 45.

Example input

{
    "searchQuery": "registered nurse",
    "jobRegion": "Melbourne",
    "postedWithin": "3",
    "postingLinks": [],
    "includeFullDetails": true,
    "resultsLimit": 25,
    "timeoutSeconds": 45
}

Output

Every posting comes back as one row with the same set of keys. When a value isn't on the page it's returned as null, so the shape stays consistent across the whole dataset.

Example output

{
    "postingId": "87654321",
    "roleTitle": "Registered Nurse - Aged Care",
    "employerName": "Riverside Health Group",
    "jobLocation": "Richmond, Melbourne VIC",
    "employmentType": "Full Time",
    "payRange": "AUD 75,000 - 88,000",
    "jobCategory": "Healthcare & Medical",
    "jobSubcategory": "Nursing - Aged Care",
    "postedDate": "2026-06-27",
    "roleSummary": "We are seeking a Registered Nurse to join our aged care team.\nResponsibilities include patient assessment, medication management, and care planning.",
    "advertiserLabel": "Riverside Health Group",
    "advertiserKind": "Direct Employer",
    "highlightPoints": [
        "Supportive multidisciplinary team",
        "Ongoing professional development",
        "Free on-site parking"
    ],
    "listingLink": "https://www.seek.com.au/job/87654321",
    "applyLink": "https://www.seek.com.au/job/87654321/apply",
    "errorMessage": null,
    "collectedAt": "2026-06-30T09:15:00.000000+00:00"
}

Output fields

Field	Type	Description
postingId	string	Seek's own identifier for the posting
roleTitle	string	Headline of the advertised role
employerName	string	Hiring company or advertiser
jobLocation	string	Suburb or city plus state
employmentType	string	Full Time, Part Time, Contract, or Casual
payRange	string	Advertised salary band when shown, otherwise null
jobCategory	string	Top-level field, e.g. Information & Communication Technology
jobSubcategory	string	More specific area within the category
postedDate	string	ISO 8601 date the posting went live
roleSummary	string	Full plain-text write-up of the role
advertiserLabel	string	Name shown for the advertiser
advertiserKind	string	Whether the poster is a recruiter or a direct employer
highlightPoints	array	Short selling points pulled from the posting
listingLink	string	Canonical URL of the posting
applyLink	string	Outbound apply URL when present, otherwise null
errorMessage	string	Reason a posting failed; null on success
collectedAt	string	ISO 8601 timestamp of when the row was captured

Tips for best results

• Try a small batch first. Run with resultsLimit set to 10–20 to confirm the columns fit your pipeline before scaling up.
• Leave full details off for speed. Summary rows from the result list cover the basics. Turn on Open each posting for full details only when you need roleSummary, advertiserKind, and applyLink.
• Mix search and direct links. Run a keyword search for discovery, then feed exact postingLinks when you already know the roles you want.
• Raise timeoutSeconds toward 60 if a run starts logging timeouts; slower responses then have room to finish.
• Watch errorMessage. A populated errorMessage on a row means that single posting couldn't be read. The rest of the run keeps going.

How can I use Seek jobs data?

How can I use the Seek Jobs Scraper to track hiring in my sector? Run a search for your field and region on a schedule, then keep the dated rows. Comparing postedDate, jobCategory, and employerName over weeks shows which companies are hiring and where demand is climbing — a simple way to read the Seek job market without manual checking.

How can I export Seek job listings to a spreadsheet? Set your searchQuery and jobRegion, pick a resultsLimit, and run it. Every posting returns as one structured row, so you can download the dataset as CSV or Excel and open it straight away — no copy-paste from the Seek careers pages.

How can I compare advertised salaries across Seek roles? Scrape a batch of roles in the same category and look at the payRange and employmentType fields side by side. Because each posting is normalised into the same columns, you can sort and filter pay bands by location or subcategory to benchmark what employers are offering.

How can I collect specific Seek postings I already have links for? Paste the URLs into postingLinks and turn on full details. The scraper opens each one and returns the complete roleSummary, applyLink, and advertiser fields — handy when you're tracking a shortlist of openings rather than searching broadly.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.