Recruiting teams
Market mapping
Collect visible listings for target roles, group rows by employer and location, and compare salary language across active openings.
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This SEEK job scraper turns SEEK Australia search and listing URLs into a structured CSV for recruiting research, hiring-market tracking, and job-board analysis. Import the workflow into the UScraper local desktop app, add the listing URLs you want to monitor, and export job title, company, location, salary, listing date, and page metadata without building a custom job search API integration.
CSV
23
Next URL
45s load
Free
At a glance
This template is built for people who already know the SEEK pages they want to collect: a keyword search, a classification page, a location filter, a remote search, or a broader /jobs listing. The Navigate block includes example URLs for customer service, engineering, and general jobs, and you can replace them with your own approved SEEK search URLs.
The automation path is intentionally simple: Navigate -> wait -> short pause -> confirm rows -> structured export -> detect next page -> navigate by URL. The pagination step uses JavaScript to read the next-page URL and move directly to it, which avoids sticky element click failures and reduces empty out-of-range pages.
Job listings in a spreadsheet
Export job cards into a CSV with title, job URL, employer, employer URL, logo URL, location, salary, bullet points, intro text, featured status, and listing date.
Multi-URL batches
Run several SEEK listing URLs in one workflow and keep input metadata beside every row, including keyword, classification, location, work type, remote flag, and salary filters.
Local desktop execution
Your configured searches and CSV stay in the desktop workflow unless you add your own upload, sync, or sharing step.
API alternative for analysts
Use it when a full job search API is too much work and you need a repeatable no-code export for approved SEEK pages.
Who this is for
Recruiting teams
Market mapping
Collect visible listings for target roles, group rows by employer and location, and compare salary language across active openings.
Talent intelligence analysts
Trend tracking
Run the same filtered URLs weekly, then track changes in total jobs, remote flags, listed time, and featured listings.
Agencies and researchers
Lead discovery
Export company and job URLs from SEEK before moving promising employers into enrichment, CRM review, or manual outreach workflows.
For broader job-board coverage, pair this page with the Google Jobs Scraper, US Job Search Scraper Aggregator, and Stepstone Listing Scraper by URL. You can also browse the full UScraper template library or install the app from UScraper download.
How to use
Add your SEEK URLs
Replace the sample Navigate URLs with approved SEEK listing or search pages, such as keyword, classification, location, salary, or remote-filtered URLs.
Confirm the CSV path
Structured Export writes seek-listing-scraper.csv with headers enabled and append mode on. Change the save folder before running client-specific batches.
Run and handle prompts
UScraper waits for the page, checks for job cards, exports rows, and follows Next page URLs. If SEEK shows Cloudflare or CAPTCHA, pause and solve it manually in the browser.
Open the output
Review row counts, spot-check job URLs, and confirm that salary, location, and listing-date fields match the visible page before using the CSV downstream.
What you export
The export includes both listing-level fields and page-level context, which matters when the same employer or role appears across several searches. Use the page metadata to separate keyword research from classification monitoring, and use job URLs as the stable review key.
| Field group | Columns |
|---|---|
| Input and page metadata | Input_URL, Total_job, Input_keyword, Input_classification, Input_where, Page_title, Page_URL |
| Filters | Filter_Work_types, Filter_Remote, Filter_salary_from, Filter_salary_to, Filter_listed_time |
| Job card data | Job_title, Job_URL, Company, Company_URL, Company_logo_URL, Job_location, Salary |
| Listing details | Bullet_points, Short_intro, If_featured, Job_listing_date |
seek-listing-scraper.csvColumn
Input_URL
The current SEEK search or listing page that produced the row.
Column
Job_title
Visible title from the job card.
Column
Company
Employer name when SEEK exposes it on the listing card.
Column
Job_location
Location text shown for the role.
Column
Salary
Salary text when the listing includes it.
Column
Job_listing_date
Visible listed date or freshness text.
Sample rows
2 of many
| Input_URL | Job_title | Company | Job_location | Salary | Job_listing_date |
|---|---|---|---|---|---|
| Customer Support Specialist | Example Services Pty Ltd | Sydney NSW - Remote | AUD 70,000 - 80,000 | Listed 2 days ago | |
| Civil Engineer | Example Infrastructure Group | Adelaide SA | AUD 110,000 - 130,000 | Listed 5 days ago |
SEEK listings may be publicly visible, but automated collection can still be limited by SEEK terms, robots rules, copyright, privacy law, database rights, and local regulations. Review the source policies, keep volume modest, do not bypass CAPTCHA or access controls, and get legal advice before using exports commercially.
Before you run
Keep these constraints visible
Large batches can trigger throttling or challenges
Keep runs modest, avoid parallelizing the same search aggressively, and add longer waits if page loads slow down.
Job-card markup can change
Empty exports or missing company, salary, or date fields usually mean SEEK changed the page structure or the current filters returned too few visible cards.
Respect source rules and personal-data limits
Use the export for approved research workflows, document your source review, and avoid republishing listing text or personal data without a valid basis.
Download the template and run it in the local desktop app when you need to scrape SEEK jobs, compare hiring demand, or export SEEK jobs into a structured CSV for spreadsheet analysis.
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