SEEK Jobs Scraper: Applicant Counts, Australia & NZ
Pricing
from $1.20 / 1,000 jobs
SEEK Jobs Scraper: Applicant Counts, Australia & NZ
Scrape SEEK jobs in Australia and New Zealand: title, company, salary, location, work type, full description, company rating, and applicant counts where SEEK shows them. Filter to low-competition jobs, and get new and expired jobs on scheduled runs.
Pricing
from $1.20 / 1,000 jobs
Rating
0.0
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Developer
Tinda Cloud
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2
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18 days ago
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SEEK Jobs Scraper: Australia & New Zealand
Scrape job listings from SEEK Australia (seek.com.au) and SEEK New Zealand (seek.co.nz), the largest job boards in both countries. Search by keyword, location and SEEK's own filters, or paste SEEK search URLs. You get clean, structured data including the full job description, salary, remote/hybrid, expiry date and company profile (website, size, industry, employee rating).
How to use
- Sign up for Apify — the free plan's monthly credit is enough to try this Actor.
- Open SEEK Jobs Scraper, fill in the input (the form is pre-filled with a working example) and click Start.
- Watch results stream into the dataset table while the run is going.
- Export as JSON, CSV, Excel, XML, HTML or RSS — or pull the results from your own code with the Apify API.
Why use this SEEK jobs scraper?
- Full details in one run. Description (plain text + HTML), expiry date, whether you apply on an external site, company website, size, industry and SEEK company rating. No second actor needed.
- Beyond SEEK's ~10,000-result cap. Broad searches are automatically split by classification, so "all jobs listed in the last 31 days in Australia" returns everything, not just the first 10k.
- All of SEEK's filters:
- keywords and locations
- listed date (24h / 3 / 7 / 14 / 31 days)
- classification, work type, and remote / hybrid / on-site
- salary range (annual, monthly or hourly)
- sort by newest
- Australia and New Zealand. Switch with one setting.
- Monitoring mode. Only new jobs since last run skips jobs you already received for the same search. Schedule it daily for job alerts or lead feeds.
- Fast and cheap. Tested at 12,000 jobs in about 2.5 minutes.
How to scrape SEEK jobs
{"keywords": ["registered nurse", "aged care"],"locations": ["Sydney NSW", "Melbourne VIC"],"country": "AU","dateRange": "7","workTypes": ["fullTime", "partTime"],"workArrangements": ["hybrid", "remote"],"salaryMin": 80000,"salaryType": "annual","sortBy": "date","includeDetails": true,"maxResults": 1000}
Each keyword is searched in each location. You can also use startUrls with SEEK search pages, e.g. https://www.seek.com.au/nurse-jobs/in-Sydney-NSW?daterange=3.
Input reference
Every option at a glance. A minimal input that works as-is:
{"keywords": ["data analyst"],"locations": ["Sydney NSW"],"country": "AU","salaryType": "annual","sortBy": "date","includeDetails": true,"maxResults": 500}
All fields:
keywords(Keywords) — Job titles or skills to search, e.g. “registered nurse”, “data analyst”. Each keyword is searched separately. Leave empty to browse all jobs matching the other filters.locations(Locations) — SEEK locations, e.g. “Sydney NSW”, “Melbourne VIC”, “Auckland”. Empty = the whole country.country(Country) — Which SEEK site to search. Options:AU(Australia (seek.com.au)),NZ(New Zealand (seek.co.nz)); default"AU".startUrls(SEEK search URLs (optional)) — Paste search result URLs from seek.com.au or seek.co.nz, e.g. https://www.seek.com.au/nurse-jobs/in-Sydney-NSW?daterange=3. Filters in the URL are kept.dateRange(Listed in the last) — Only jobs listed within this period. Options:1(24 hours),3(3 days),7(7 days),14(14 days),31(31 days).classifications(Classifications) — SEEK job categories. Empty = all. Any of:1200,6251,6304,1203,1204,7019,6163,1206,6076,6263,6123,1209,6205,1210,1211,1212,6317,6281,1214,1216,6092,6008,6058,1220,6043,6362,1223,6261,6246,1225.workTypes(Work type) — Empty = any. Any of:fullTime,partTime,contract,casual.workArrangements(Remote / hybrid) — Empty = any. Any of:onSite,hybrid,remote.salaryMin(Minimum salary) — Uses SEEK's salary filter (in the pay type below).salaryMax(Maximum salary) — Leave empty for no upper limit.salaryType(Salary pay type) — How the salary range above is expressed. Options:annual,monthly,hourly; default"annual".sortBy(Sort by) — Order of results. Options:relevance,date(Newest first); default"date".includeDetails(Include full job details) — Adds the full description (text + HTML), expiry date, whether you apply on an external site, and company website, size, industry and rating. Same price. Defaulttrue.onlyLowCompetition(Only low-competition jobs) — Keep only jobs SEEK marks as having low application volume (e.g. “Less than 20 applicants”). Needs job details on. Each job also gets applicantCountLabel and applicationVolume when SEEK shows them. Defaultfalse.onlyNewJobs(Only new jobs since last run (monitoring)) — Remembers the jobs already returned for each search and skips them next time. Schedule it daily for alerts. Defaultfalse.reportExpired(Report expired jobs) — With “Only new jobs” on: also return a row (status “expired”) for each job that was in this search last run but is no longer listed — filled, withdrawn or expired. Defaultfalse.maxResults(Max results) — Stop after this many jobs in total. You are charged per job. Default500.proxy(Proxy) — Apify datacenter proxy works well for SEEK.
What the SEEK jobs output looks like
{"id": "94698103","title": "ESG & Sustainability Analyst | Property","company": "CBRE","location": "Sydney NSW","locationHierarchy": ["All Sydney NSW","New South Wales NSW"],"country": "AU","classification": "Consulting & Strategy","subClassification": "Environment & Sustainability Consulting","workTypes": ["Full time"],"workArrangement": null,"salary": "Salary + KPI Performance Bonus","teaser": "Drive ESG performance through sustainability reporting, data analytics and stakeholder collaboration across a premium property portfolio.","bulletPoints": ["Support ESG reporting, sustainability data & performance insights","Work with Deepki, GRESB, NGERS & ASRS reporting"],"listedAt": "2026-09-17T06:12:56Z","isFeatured": false,"url": "https://www.seek.com.au/job/94698103","description": "Shape ESG Performance across commercial property assets\nWork with Industry leading ESG Pla…","descriptionHtml": "<p>…</p>","expiresAt": "2026-10-17T12:59:59.999Z","appliesOnExternalSite": true,"companyWebsite": "https://www.cbre.com.au/","companySize": "More than 10,000 employees","companyIndustry": "Commercial & Industrial Property Management","companyRating": 3.2,"companyReviewCount": 139,"companyProfileUrl": "https://au.seek.com/companies/cbre-432744"}
salary, workArrangement and the company fields are null when the employer doesn't provide them. With Include full job details off, the description and company fields are omitted and runs are faster.
What can you do with SEEK jobs data?
- Recruitment agencies: find hiring companies and roles in your niche every morning.
- Job seekers & career coaches: daily alerts with salary and remote filters.
- Sales & lead generation: companies that are growing teams, with website and size.
- Labour-market & salary research: demand by classification, location and pay across AU/NZ.
- Job boards & aggregators: a structured feed of SEEK listings.
How much does it cost?
Pay per job returned, plus a negligible start fee per run. Full details are included at the same price. Set Max results or a spending limit to cap cost.
Limits you should know about
- Only publicly listed job ads are collected; no login is used.
- SEEK locations work best in SEEK's own format, e.g. "Sydney NSW", "Brisbane QLD", "Auckland".
- If SEEK changes something and a run breaks, open an issue and it will be fixed quickly.
Applicant counts and low-competition jobs
Where SEEK shows it, each job gets applicantCountLabel (e.g. "Less than 20 applicants") and applicationVolume (low, medium, high). Turn on onlyLowCompetition to keep only low-volume jobs. SEEK shows this for a minority of ads, so expect it on some rows, not all.
New and expired jobs
With onlyNewJobs on, each run returns only jobs not seen before for the same search. Add reportExpired to also get a row with status: "expired" for every job that was listed last run and has since disappeared (filled, withdrawn or expired).
Pricing — what you pay per job
This Actor uses pay-per-event pricing: no monthly rental, you pay for the results you get. Prices per 1,000 results by Apify plan:
| Event | Free plan | Bronze | Silver | Gold+ |
|---|---|---|---|---|
| job — One job listing saved to the dataset | $1.50 | $1.35 | $1.275 | $1.20 |
There is also a small start fee of $0.00005 per GB of memory ($0.00005 per run at the default 1 GB). Platform compute is included in the price — you are not billed separately for run time. Set a maximum total charge on the run if you want a hard cap, and use the input limits to control how much is fetched. The current prices are always on the Pricing tab.
Tips
- Start with a small
maxResults(say 20) to check the output, then raise it — you only pay per result. - For ongoing tracking, schedule the Actor and turn on
onlyNewJobsso each run returns only what is new. - Already set up a search on the website? Paste its URL into
startUrlsand the filters in it are kept. - Keep the default
proxysetting — it is only used as a fallback when a direct request is blocked. - Rows the Actor cannot read are logged and skipped, never charged — check the run log if a count looks low.
Automate & schedule
Run this Actor on autopilot and pull results into your own stack:
- Apify API — start runs, fetch datasets and manage schedules over REST.
- apify-client for JavaScript and apify-client for Python — official SDKs.
- Schedules — run it on a cron to keep your data fresh.
- Webhooks — trigger downstream actions the moment a run finishes.
JavaScript
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });const run = await client.actor('tindacloud/seek-jobs-scraper').call({"keywords": ["data analyst"],"locations": ["Sydney NSW"],"country": "AU","salaryType": "annual","sortBy": "date","includeDetails": true,"maxResults": 500});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(`Got ${items.length} records`);
Python
from apify_client import ApifyClientclient = ApifyClient("MY_APIFY_TOKEN")run = client.actor("tindacloud/seek-jobs-scraper").call(run_input={"keywords": ["data analyst"],"locations": ["Sydney NSW"],"country": "AU","salaryType": "annual","sortBy": "date","includeDetails": True,"maxResults": 500})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
cURL — run and get the results in one request:
curl -X POST "https://api.apify.com/v2/acts/tindacloud~seek-jobs-scraper/run-sync-get-dataset-items?token=MY_APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"keywords": ["data analyst"], "locations": ["Sydney NSW"], "country": "AU", "salaryType": "annual", "sortBy": "date", "includeDetails": true, "maxResults": 500}'
Integrate with any app
Connect the dataset to thousands of apps — no code required:
- Make — multi-step automation scenarios.
- Zapier — push new records straight into your CRM or sheet.
- n8n — self-hosted workflows.
- Slack — get notified when a run finishes or finds something new.
- Google Drive / Sheets — auto-export every run to a spreadsheet.
- Airbyte — pipe results into your data warehouse.
- GitHub — trigger runs from commits or releases.
- Webhooks — call your own endpoint when a run succeeds or fails.
Use with AI assistants (MCP)
The output is clean, LLM-ready JSON. Call this Actor from Claude, ChatGPT, Cursor or any agent framework through the Apify MCP server — ask your assistant to "list nurse jobs in Melbourne posted this week on SEEK with the salary shown" and let it run this Actor for you.
Agent-ready: autonomous payments (x402 & Skyfire)
This Actor is agent-ready — AI agents can discover it, run it and pay for it on their own. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic payments:
- x402 — an open, HTTP-native payment protocol. Agents pay in USDC through the Apify MCP server — no Apify account needed.
- Skyfire — agent-to-service payments with pre-funded Skyfire tokens.
Building an AI agent, MCP tool or data pipeline? This Actor is ready to plug in and pay as it goes.
Ready-made examples
Open one, change the fields, press Start — nothing to configure:
- Scrape nursing jobs in Sydney
- Scrape SEEK jobs in New Zealand
- Find SEEK jobs above a salary threshold
Frequently asked questions about scraping SEEK jobs
Do I need an API key or a login?
No. Paste your input, press Start. There is nothing to connect and no account on the target site to create.
How do I export the results?
Every run produces a dataset you can download as JSON, CSV, Excel, XML or HTML, or read through the Apify API from your own code. You can also connect it to Make, Zapier or n8n.
Can I run this on a schedule?
Yes. Apify schedules run it every hour, day or week without you being there. With the monitoring option on, you only get jobs that appeared since the last run.
Can I call it from Python or JavaScript?
Yes — the Apify API runs any Actor and returns the dataset, and the official Python and JavaScript clients wrap it in a few lines. AI agents can call it too, through Apify's MCP server.
What does it cost?
You pay per result, not per hour. Filters are applied before anything is charged, so narrowing the input directly lowers the bill. Pages that cannot be read are reported in the log and never charged.
Is this data public?
Everything collected here is what SEEK shows to anyone without logging in. Check the target site's terms and the rules that apply to you before using the data commercially.
Related scrapers
Other scrapers from the same maker, built the same way — no browser where it isn't needed, one flat price per result:
Disclaimer
This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by SEEK Limited. All trademarks mentioned are the property of their respective owners. "SEEK" is named here only in a descriptive sense — to identify the publicly available website this Actor reads. It collects only publicly available information that anyone can see without logging in; you are responsible for making sure your use of the data complies with applicable laws, regulations and the terms of the source website.