CareerOne Job Scraper

Extract comprehensive job listings from CareerOne.com.au with rich structured fields for recruiting, market analysis, salary benchmarking, and workforce intelligence. Collect complete records across roles, locations, and industries in Australia with reliable pagination and clean output.

Features

• Rich Job Records — Capture title, company, location, salary, job details, skills, and apply links.
• Flexible Search Inputs — Start from a direct search URL or use keyword and location filters.
• High-Volume Collection — Gather large datasets with configurable result limits and page caps.
• Market Intelligence Fields — Includes occupation, career level, work authorization, perks, and industry metadata.
• Analysis-Ready Output — Export in JSON, CSV, Excel, or XML for BI tools and automation workflows.

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Use Cases

Recruitment Intelligence

Build searchable job databases for sourcing and talent mapping. Track hiring activity by role, employer, and region.

Salary Benchmarking

Analyze salary ranges and pay patterns across occupations and locations. Compare compensation by industry and experience level.

Labor Market Research

Measure demand shifts by occupation, skills, and job type. Monitor job volume trends to inform hiring or career strategy.

Competitive Hiring Analysis

Track competitor job ads and recruitment priorities. Identify where teams are expanding and which skills are most sought after.

Job Data Pipelines

Feed structured job data into internal dashboards, analytics platforms, and lead-generation workflows.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	https://www.careerone.com.au/jobs/in-australia/software	Direct CareerOne search URL. When set, it overrides keyword and location.
keyword	String	No	"software"	Job title, skills, or search phrase.
location	String	No	"australia"	City, state, or region filter in Australia.
results_wanted	Integer	No	20	Maximum number of job records to collect.
proxyConfiguration	Object	No	{ "useApifyProxy": true }	Proxy settings for reliability and stability.

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Output Data

Each dataset item can include these fields:

Field	Type	Description
id	String	Unique job identifier.
title	String	Job title.
company	String	Employer name.
location	String	Display location.
salary	String	Salary text or salary range.
salary_type	String	Salary type (annual_salary, hourly, etc.).
employment_type	String	Employment arrangement (full-time, contract, etc.).
contract_type	String	Contract nature (Permanent, Contract, etc.).
job_mode	String	Work mode (Onsite, Remote, Hybrid).
description_text	String	Clean plain-text job description.
description_html	String	Rich HTML description content.
key_points	Array	Job highlights and bullet points.
skills	Array	Skills associated with the role.
education	Array	Education requirements.
career_level	String	Career seniority level.
work_authorisations	Array	Work authorization requirements.
certifications	Array	Required certifications.
perks	Array	Benefits and perks labels.
languages	Array	Language requirements.
category	String	Job category label.
occupation	String	Occupation label.
industry	String	Industry information.
industry_sector	String	Industry sector details.
company_size	String	Company employee count range.
sector	String	Company sector (private, public, etc.).
state	String	State code (NSW, VIC, etc.).
country	String	Country code (AU).
post_code	String	Location post code.
region	String	Region label (e.g. Sydney NSW).
url	String	Public listing URL.
apply_url	String	Direct application URL.
company_logo	String	Company logo image URL.
apply_email	String	Application email address.
is_sponsored	Boolean	Whether the listing is sponsored.
posted_at	String	Posting timestamp.
expires_at	String	Expiration timestamp.
date_label	String	Relative date label (e.g. "2 weeks ago").
search_page	Number	Source result page index.
search_total_count	Number	Total jobs reported for the search query.
fetched_at	String	Extraction timestamp (ISO 8601).

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Usage Examples

Basic Search

{
  "keyword": "software engineer",
  "location": "australia",
  "results_wanted": 20
}

Search URL Mode

{
  "startUrl": "https://www.careerone.com.au/jobs/in-sydney/data-analyst",
  "results_wanted": 50
}

Higher Volume Collection

{
  "keyword": "registered nurse",
  "location": "melbourne",
  "results_wanted": 200,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "id": "a2f6d9cf-3d17-4d69-8d6d-d5b1f3d7a6e4",
  "title": "Senior Software Engineer",
  "company": "Tech Group Australia",
  "location": "Sydney NSW",
  "salary": "$140,000 - $165,000",
  "salary_type": "annual_salary",
  "employment_type": "Full Time",
  "contract_type": "Permanent",
  "job_mode": "Hybrid",
  "description_text": "We are looking for a Senior Software Engineer to build and scale modern cloud applications...",
  "skills": ["Node.js", "TypeScript", "AWS", "Docker"],
  "key_points": ["Hybrid role", "Immediate start", "Career progression"],
  "education": ["Bachelor's degree"],
  "career_level": "Senior",
  "work_authorisations": ["Australia Work Rights"],
  "perks": ["Health insurance", "Remote allowance"],
  "category": "Information & Communication Technology",
  "occupation": "Software and Applications Programmers",
  "industry": "Information Technology",
  "state": "NSW",
  "country": "AU",
  "url": "https://www.careerone.com.au/jobview/senior-software-engineer/a2f6d9cf-3d17-4d69-8d6d-d5b1f3d7a6e4",
  "apply_url": "https://www.careerone.com.au/jobview/senior-software-engineer/a2f6d9cf-3d17-4d69-8d6d-d5b1f3d7a6e4",
  "is_sponsored": false,
  "posted_at": "2026-02-26 04:18:10",
  "expires_at": "2026-03-26 13:59:59",
  "date_label": "2 weeks ago",
  "search_page": 1,
  "search_total_count": 105304,
  "fetched_at": "2026-07-24T10:24:17.182Z"
}

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Tips for Best Results

Start With Working Search URLs

• Use active CareerOne search pages with visible listings.
• Keep keyword and location aligned with your target roles.

Optimize Collection Size

• Use results_wanted: 20 for quick validation runs.
• Increase limits gradually for production data pulls.

Improve Reliability

• Enable proxy configuration for stable long runs.
• Use residential proxy groups for larger extraction volumes.

Keep Data Focused

• Use specific keywords to reduce noise.
• Segment large projects by location or job family.

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Integrations

• Google Sheets — Share and analyze job data quickly.
• Airtable — Build searchable recruiting and market databases.
• Looker Studio / BI Tools — Create dashboards for salary and hiring trends.
• Make — Trigger downstream automations from completed runs.
• Zapier — Route fresh job data to CRM, Slack, or spreadsheets.
• Webhooks — Push run completion events to custom systems.

Export Formats

• JSON — Developer-friendly structured output.
• CSV — Spreadsheet and tabular analysis.
• Excel — Business reporting and stakeholder sharing.
• XML — Legacy system integration.

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Frequently Asked Questions

How many jobs can I collect?

You can collect as many as available for a query, limited by your results_wanted setting.

Can I scrape from a specific search page?

Yes. Set startUrl to a CareerOne search URL and the scraper continues pagination from that query.

Why are some fields empty?

Some listings do not publish all details. Missing values are normal when source data is not provided.

Is this suitable for recurring monitoring?

Yes. It is well-suited for scheduled runs to monitor job volume, salary changes, and skill demand over time.

Which proxy setup is best?

Default proxy settings are suitable for most runs. For larger workloads, residential groups are recommended.

Can I search by keyword without a URL?

Yes. Provide keyword and location values and the actor builds the search query automatically.

What fields are available in full detail?

The rich API output includes 120+ raw fields mapped into 35+ clean output fields covering job details, employer info, skills, education, certifications, perks, location, and metadata.

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Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

This actor is intended for legitimate data collection and analysis. Users are responsible for complying with website terms, applicable laws, and responsible usage practices.