Recruiting teams
Shortlist review
Export selected job pages into a spreadsheet, then compare employer language, salary ranges, work type, and application questions across similar roles.
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This SEEK job details scraper turns a list of SEEK job detail URLs into a structured CSV for recruiting research, employer monitoring, and hiring-market analysis. Import the workflow into the UScraper local desktop app, replace the sample URLs, and export job title, company, location, salary, description, employer questions, review fields, and scrape status without building a custom jobs search API integration.
CSV
16
URL list
45s load
Free
At a glance
Use this template when you already have job detail URLs from SEEK search, a spreadsheet, a saved shortlist, or another scraper. Unlike a listing scraper, this workflow focuses on the full job page: longer role description, employer questions, company intro, review values when present, and a scrape_status field that tells you whether live extraction succeeded or the page was blocked or unavailable.
The automation path is compact: Set Window Size -> Navigate -> Wait for Page Load -> Wait for Element -> Inject JavaScript -> Sleep -> Structured Export -> Loop Continue. The JavaScript helper first looks for credible embedded job data, then tries SEEK job data endpoints, then falls back to bundled catalog-preview values for the two sample job IDs. That fallback avoids misleading blank examples while still making live pages report their actual status.
Detail-page fields, not just cards
Export full role text, salary, work type, classification, employer questions, company intro, industry, and review fields from each job detail page.
Batch URL input
Replace the two sample Navigate URLs with your approved SEEK job URLs and let Loop Continue append each page into the same local CSV.
Local desktop execution
Your URL list and export file stay in the desktop workflow unless you add a separate sync, upload, or sharing step.
Practical API alternative
Use it when a formal job search API path is too heavy and analysts need a reviewable, no-code export from selected job pages.
Who this is for
Recruiting teams
Shortlist review
Export selected job pages into a spreadsheet, then compare employer language, salary ranges, work type, and application questions across similar roles.
Talent intelligence analysts
Role benchmarking
Track how job descriptions, requirements, and employer positioning change for target functions, locations, or competitors.
Agencies and researchers
Market evidence
Collect structured job detail rows before cleaning, tagging, or summarizing openings for reports, dashboards, and client research.
For listing discovery before detail extraction, pair this template with the SEEK Job Scraper by URL. For broader job-board coverage, see the Google Jobs Scraper, US Job Search Aggregator, and the full UScraper template library.
How to use
Add your job URLs
Replace the two sample Navigate URLs with approved SEEK job detail URLs. Keep one URL per input item so each page becomes one exported row.
Confirm the export path
Structured Export writes seek_details_scraper_final.csv with headers enabled and append mode on. Change the save folder before client or campaign runs.
Run the loop
UScraper opens each page, waits for the body, runs the helper extraction, sleeps briefly for async data, exports the row, and advances to the next URL.
Review the status column
Open the CSV and check scrape_status. Values such as ok_embedded_json or ok_api indicate live extraction; blocked pages need manual review.
What you export
The export is designed for downstream review in Excel, Google Sheets, a database, or an enrichment workflow. The page_url and scrape_status columns are especially useful when you need to audit rows after a large batch.
| Field group | Columns |
|---|---|
| Page identity | page_url, scrape_status, cover_image_url |
| Job basics | job_title, company, location, classifications, job_type, salary, posted_date |
| Detail text | job_details, employer_questions |
| Company context | company_review, company_review_count, industry, company_intro |
seek_details_scraper_final.csvColumn
page_url
The SEEK job detail URL that produced the row.
Column
job_title
The role title from embedded data, API data, or the sample fallback.
Column
company
Employer or advertiser name when available.
Column
salary
Visible salary text or salary label.
Column
job_details
Cleaned long-form role description.
Column
scrape_status
Live extraction, fallback, blocked, or unavailable status.
Sample rows
2 of many
| page_url | job_title | company | salary | job_details | scrape_status |
|---|---|---|---|---|---|
| Customer Support Consultant | LiveLife Alarms | $34 per hour + superannuation | Inbound and outbound support, account inquiries, troubleshooting, and customer updates. | ok_catalog_preview_fallback | |
| Customer Support | PW Willow Pty Ltd | $60,000 - $80,000 per year | Support customers across tickets, email, social channels, returns, and product troubleshooting. | ok_catalog_preview_fallback |
SEEK job pages may be public, but automated collection can still be limited by SEEK terms, robots rules, copyright, privacy law, database rights, and local regulations. Keep runs modest, do not bypass CAPTCHA or access controls, and get legal advice before using the export commercially.
Before you run
Keep these constraints visible
Large URL batches can trigger throttling or challenges
Keep batches modest, avoid parallel runs against the same source, and add longer waits if pages slow down.
Job data sources can change
Empty rows or repeated blocked statuses usually mean SEEK changed embedded data, endpoint behavior, or access prompts.
Treat job text and employer data carefully
Use approved research workflows, document your source review, and avoid republishing job descriptions 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 role requirements, or export SEEK jobs into a structured CSV for spreadsheet analysis.
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