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SEEK Job Details Scraper by URL for CSV Export logo

SEEK Job Details Scraper by URL for CSV Export

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.

Output

CSV

Columns

16

Input

URL list

Waits

45s load

Template

Free

At a glance

Extract SEEK job details from known URLs

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

Use cases for a SEEK data extractor

Recruiting teams

Shortlist review

Favorable to scraping

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

Favorable to scraping

Track how job descriptions, requirements, and employer positioning change for target functions, locations, or competitors.

Agencies and researchers

Market evidence

Favorable to scraping

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

Configure the SEEK job detail scraper workflow

1

Download and import

Download the hosted SEEK details template JSON and import it into UScraper.

2

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.

3

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.

4

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.

5

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

SEEK job details CSV fields

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 groupColumns
Page identitypage_url, scrape_status, cover_image_url
Job basicsjob_title, company, location, classifications, job_type, salary, posted_date
Detail textjob_details, employer_questions
Company contextcompany_review, company_review_count, industry, company_intro
seek_details_scraper_final.csv
CSV - headers - append

Column

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_urljob_titlecompanysalaryjob_detailsscrape_status
Customer Support ConsultantLiveLife Alarms$34 per hour + superannuationInbound and outbound support, account inquiries, troubleshooting, and customer updates.ok_catalog_preview_fallback
Customer SupportPW Willow Pty Ltd$60,000 - $80,000 per yearSupport customers across tickets, email, social channels, returns, and product troubleshooting.ok_catalog_preview_fallback
Example rows based on the bundled workflow definition; live fields depend on the current SEEK page.

Frequently asked questions

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

Practical limits and maintenance notes

Keep these constraints visible

Rate limits

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.

Layout drift

Job data sources can change

Empty rows or repeated blocked statuses usually mean SEEK changed embedded data, endpoint behavior, or access prompts.

Compliance

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.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]