SEEK Jobs Scraper & API - Australia and New Zealand job ads (seek.com.au, seek.co.nz)

SEEK Jobs Scraper is a SEEK scraper and unofficial SEEK jobs API for seek.com.au and seek.co.nz. Give it keywords, locations and filters (or paste SEEK search URLs) and get every matching job ad as clean JSON, CSV or Excel: title, company, location, salary (as written and as numbers), work type, on-site / hybrid / remote, classification, listing date, the job URL and, if you want it, the full description and the company profile (website, industry, size, rating).

It reads the same JSON the SEEK website loads, over plain HTTP: no browser and no login, so 100 jobs arrive per request and a run of 8,500 jobs takes about 80 seconds. SEEK shows at most 550 jobs for any one search; this scraper splits big searches automatically by category, sub-category, work type and work arrangement and merges the results without duplicates, so a search with 8,877 jobs returned 8,539 of them in testing instead of 550.

Use it for hiring-signal lead generation (which Australian and New Zealand companies are hiring for what, right now), job boards and aggregators, recruitment market mapping, salary benchmarking and labour-market research.

How to use

1. Type one or more Search keywords (data analyst, registered nurse, forklift) and, optionally, Locations (Sydney NSW, All Melbourne VIC, Auckland). Every keyword is searched in every location. No keyword = all jobs matching your location and filters.
2. Pick the Country / site: Australia or New Zealand.
3. Optionally filter: Classification (30 job categories), Work types, Work arrangements (on-site, hybrid, remote), Posted within (days), Minimum / Maximum salary and Sort order.
4. Set Max jobs per search (0 = everything). Tick Include full description & company profile if you need the ad text.
5. Click Start. Download the results as JSON, CSV, Excel or HTML from the Output tab, or pull them through the Apify API, Make, Zapier, n8n or an MCP client.

Already have links? Paste SEEK search URLs or job URLs into Search or job URLs instead; the filters in a search URL are read from the URL.

What you get

One dataset item per job ad:

• Identity: id (SEEK job id, stable across runs), title, url, site, country.
• Company: company, advertiserName and advertiserId (the account that posted the ad, which can be a recruiter), companyId, companyProfileUrl, companyLogoUrl.
• Where: location, locations, area (the wider region), countryCode.
• Work: workType (Full time, Part time, Contract/Temp, Casual/Vacation), workArrangement (On-site, Hybrid, Remote), isRemote.
• Pay: salaryText exactly as the advertiser wrote it, plus salaryMin, salaryMax, salaryCurrency and salaryPeriod (hour, day, month, year) parsed from it when the text has clear numbers.
• Category: classification, subclassification and classifications (an ad can sit in two).
• Ad text: teaser, bulletPoints.
• Dates and flags: listedAt, isFeatured, isSponsored, isExpiringSoon.
• Where it came from: sourceQuery, sourceLocation, position, scrapedAt.

With Include full description & company profile on, each job also gets description (plain text), optional descriptionHtml, expiresAt, status, appliesOnCompanySite, isVerifiedAdvertiser, advertiserSince, screeningQuestions, and from the company's SEEK profile where one exists: companyWebsite, companyIndustry, companySize, companyRating, companyReviewCount, companyDescription, companyPerks, companyJobsUrl.

Use cases

• Lead generation from hiring signals: a company advertising for three payroll officers is a prospect for payroll software; one hiring site managers in Perth needs equipment and labour hire. Run your keywords daily with Posted within 1 day and send new ads to your CRM with the company website attached.
• Recruitment agencies: see who is hiring in your niche, which ads are direct employers and which are other agencies (advertiserName vs company), and how long ads stay up.
• Job boards and aggregators: pull a category or a whole region into your own feed, deduplicated by id.
• Salary benchmarking: salaryMin / salaryMax by role, city and work type, from ads that publish pay.
• Labour-market research: job counts by classification, location and remote share over time.
• AI agents: "find remote data engineer jobs in Australia paying over $150k posted this week" maps straight onto the input fields.

Input example

Field	Default	Description
searchQueries	-	Keywords, one search each. Empty = all jobs matching the filters
locations	whole country	Locations as SEEK writes them: Sydney NSW, All Melbourne VIC, Auckland, a suburb or a postcode
country	AU	AU (seek.com.au) or NZ (seek.co.nz)
classification	any	One of SEEK's 30 categories; via API also "Accounting > Payroll" or an id
workTypes	all	Any of fulltime, parttime, contract, casual
workArrangements	all	Any of onsite, hybrid, remote
postedWithinDays	0 (any)	1 = listed today, 3, 7, 14, 31
salaryMin / salaryMax	0	In the unit set by salaryType
salaryType	annual	annual, monthly or hourly
sort	relevance	relevance or date
maxItems	100	Max jobs per search; 0 = all
deepSearch	true	Split searches above 550 jobs so nothing is cut off
includeDetails	false	Full description, expiry, screening questions, company profile (one extra request per job)
includeDescriptionHtml	false	Also keep the description HTML
startUrls	-	SEEK search URLs, job URLs or bare job ids
proxyConfiguration	Apify datacenter	No residential proxies needed

Remote or hybrid data jobs across Australia paying $120k or more, listed this week, with descriptions:

{
    "searchQueries": ["data engineer", "data analyst"],
    "country": "AU",
    "workArrangements": ["hybrid", "remote"],
    "salaryMin": 120000,
    "salaryType": "annual",
    "postedWithinDays": 7,
    "maxItems": 200,
    "includeDetails": true
}

Every nurse job in the Healthcare & Medical category in New Zealand, no cap:

{
    "country": "NZ",
    "classification": "Healthcare & Medical",
    "searchQueries": ["nurse"],
    "maxItems": 0
}

From links you copied off the site:

{
    "startUrls": [
        "https://www.seek.com.au/data-analyst-jobs/in-All-Melbourne-VIC/full-time?daterange=7",
        "https://www.seek.com.au/job/95126283"
    ]
}

Output example

From a real run (search for data engineer in Sydney NSW, details on; long texts shortened):

{
    "id": "95195166",
    "title": "Research Data Storage Specialist",
    "company": "The University of Sydney",
    "location": "Sydney NSW",
    "locations": [
        "Sydney NSW"
    ],
    "area": "New South Wales NSW",
    "countryCode": "AU",
    "workType": "Full time",
    "workTypes": [
        "Full time"
    ],
    "workArrangement": "Hybrid",
    "workArrangements": [
        "Hybrid"
    ],
    "isRemote": false,
    "salaryText": "$152,045 to $160,430 + 17% Superannuation",
    "salaryMin": 152045,
    "salaryMax": 160430,
    "salaryCurrency": "AUD",
    "salaryPeriod": "year",
    "classification": "Information & Communication Technology",
    "subclassification": "Database Development & Administration",
    "classifications": [
        "Information & Communication Technology > Database Development & Administration"
    ],
    "teaser": "Support pivotal research infrastructure systems that enable world-class research at the University of Sydney.",
    "bulletPoints": [
        "Support world-class research through enterprise-scale data storage and managemen",
        "Enable researchers to tackle complex data-intensive workloads and scientific cha",
        "Salary range between $152,045 to $160,430 + 17% Superannuation"
    ],
    "listedAt": "2026-10-12T01:01:13.000Z",
    "isFeatured": false,
    "isSponsored": false,
    "isExpiringSoon": false,
    "advertiserId": "63582582",
    "advertiserName": "The University of Sydney",
    "companyId": "432709",
    "companyProfileUrl": "https://au.seek.com/companies/the-university-of-sydney-432709",
    "companyLogoUrl": "https://bx-branding-gateway.cloud.seek.com.au/9c3b52ee-817b-4f0c-8130-ed06d4c42912.1/jdpLogo",
    "roleId": "storage-specialist",
    "url": "https://www.seek.com.au/job/95195166",
    "site": "seek.com.au",
    "country": "Australia",
    "sourceQuery": "data engineer",
    "sourceLocation": "Sydney NSW",
    "position": 32,
    "scrapedAt": "2026-10-13T17:42:53.962Z",
    "description": "Solve by Talent is partnering with the University of Sydney to recruit a Research Data Storage Specialist within Information and Communications Technology (ICT). This rol ...",
    "expiresAt": "2026-10-26T01:15:00.000Z",
    "isExpired": false,
    "status": "Active",
    "appliesOnCompanySite": false,
    "isVerifiedAdvertiser": true,
    "advertiserSince": "2026-03-19T03:27:45.271Z",
    "screeningQuestions": [
        "Which of the following statements best describes your right to work in Australia?",
        "What's your expected annual base salary?",
        "How much notice are you required to give your current employer?"
    ],
    "companyWebsite": "http://sydney.edu.au/",
    "companyIndustry": "Education, Training & Professional Development",
    "companySize": null,
    "companyRating": 3.2,
    "companyReviewCount": 147,
    "companyDescription": "The University of Sydney has believed in education for all and leadership that make lives better. The same values continue to inform the org ...",
    "companyPerks": [],
    "companyJobsUrl": "https://au.seek.com/The-University-of-Sydney-jobs/at-this-company"
}

Fill rates on an 8,539-job test run (nurse, all of Australia): id, title, company, location, area, work type, work arrangement, classification, sub-classification, teaser, listing date and URL 100%; advertiser id 99%; company logo 75%; bullet points 70%; company profile link 62%; salary text 53%; parsed salary numbers 43%. On a 301-job run with details: description, expiry date and status 100%; screening questions 39%; company industry 34%; company size 28%; company website 27%; company rating 26% (company fields exist only for employers with a SEEK company profile). A field SEEK does not publish for a job is null, never guessed.

Pricing

Pay per result: $0.80 per 1,000 jobs (one result = one job ad saved to the dataset). The full description and company profile are included in that price.

• 100 jobs for a quick search = $0.08
• Every nurse job in Australia, about 8,500 jobs = $6.80
• A daily run of 20 keywords, new ads only (about 300 jobs) = $0.24 a day

No start fee and no charge per search. Failed requests, duplicate ads, expired job URLs and empty searches are never charged. If you set a maximum cost per run, the scraper stops cleanly when it reaches it. Apify's free plan includes $5 of monthly platform credit, enough for about 6,000 jobs.

Integrations

• Make, Zapier and n8n: start runs and push new jobs to your CRM, Slack, Google Sheets or Airtable.
• Google Sheets: export the dataset straight into a spreadsheet, or refresh it on a schedule.
• Apify API: run the actor and fetch results over REST, or with the official JavaScript and Python clients.
• Webhooks: get notified when a run finishes and process the data right away.
• Schedules: run daily with postedWithinDays: 1 and deduplicate by id to collect only new ads.
• MCP for AI agents: through the Apify MCP server (https://mcp.apify.com), Claude, ChatGPT, Cursor and other agents can call this SEEK jobs API directly and read the results.

Limits (read before large runs)

• 550 jobs per single search is SEEK's own limit. Deep search gets around it by splitting; on the largest test (8,877 listed) it returned 96%. A slice that is still above 550 after every split is fetched in both sort orders, and the run summary counts those slices (searchesCappedAt550).
• SEEK's totals are estimates. The siteTotal in the run summary can differ from the number of unique jobs by a few percent, and the same ad can be listed twice (sponsored and organic); duplicates are dropped and not charged.
• Locations must be ones SEEK recognises. An unknown location returns 0 jobs and the summary says so.
• Salary numbers are parsed from free text. About half of all ads show a salary line and some of those are slogans ("Competitive salary"); those keep salaryText and leave the numbers null.
• Ads live about 30 days, so postedWithinDays above 31 has no effect.
• No applicant or personal data. The scraper returns the public job ad and company profile only; recruiter phone numbers and emails are not collected.
• Details cost one request per job: about 160 jobs a minute instead of several thousand.

FAQ

Is there an official SEEK API for job search? SEEK's official API is for hirers and recruitment software posting ads, not for reading the job market. This actor is an unofficial alternative that reads the public search results.

Can I scrape Jobstreet or JobsDB as well? Yes, with the sister actor Jobstreet & JobsDB Jobs Scraper (Malaysia, Singapore, Philippines, Indonesia, Hong Kong, Thailand). Same input and output fields.

How do I get only new jobs every day? Schedule the actor daily with postedWithinDays: 1 and sort: "date", and deduplicate on id in your own system.

How do I find companies, not recruiters? Compare company with advertiserName; when they differ the ad was placed by an agency. With details on, companyWebsite is filled for companies that have a SEEK profile.

Why did I get fewer jobs than SEEK's count? SEEK's count includes duplicates and is rounded. Check RUN_SUMMARY in the key-value store: it lists each search with the site total, pages fetched and why it stopped.

Is scraping SEEK legal? The actor collects publicly visible job ads, not personal data. You are responsible for how you use the data and for following SEEK's terms and the laws that apply to you.

Something is wrong or a field is missing. Open an issue on the Issues tab of the actor page with the run ID. It reaches the developer directly.