Rozee.pk Jobs Scraper

Extract comprehensive job listings from Rozee.pk with rich structured output for hiring intelligence, labor-market analysis, and opportunity tracking. Collect role, company, location, salary, skills, experience, and advanced listing metadata in one run.

Features

• Rich Job Records - Captures core job details plus extended listing metadata.
• Flexible Search - Filter by keyword and optionally narrow by location text.
• Auto Pagination - Automatically calculates pages from results_wanted.
• Clean Output - Returns analysis-ready JSON with normalized convenience fields.
• QA-Friendly Defaults - Ships with safe defaults for reliable automated runs.

Use Cases

Job Market Research

Track role demand, hiring hotspots, and salary patterns across cities and industries in Pakistan.

Recruitment Intelligence

Monitor active openings and competitor hiring activity with structured records you can query.

Skills Trend Analysis

Analyze skill requirements, experience ranges, and job type patterns for workforce planning.

Data Enrichment Pipelines

Feed normalized job data into internal tools, dashboards, and scoring workflows.

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Input Parameters

Parameter	Type	Required	Default	Description
keyword	String	No	"software engineer"	Search keyword. Use broad terms for larger datasets.
location	String	No	""	Optional location text filter (e.g., Lahore, Karachi).
results_wanted	Integer	No	20	Maximum number of job records to save.
proxyConfiguration	Object	No	Residential enabled	Proxy settings for reliability and stability.

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Output Data

Each dataset item includes both normalized fields and extended listing fields.

Field	Type	Description
job_id	String	Unique listing identifier.
url	String	Direct listing URL.
title	String	Job title.
company	String	Hiring company name.
location	String	Normalized location text.
salary	String	Human-readable salary range/value when available.
contract_type	String	Employment type (for example, full-time or contract).
experience	String	Experience requirement text.
skills	Array	Listed skills for the role.
description_html	String/null	Rich description content.
description_text	String	Plain-text description.
date_posted	String	Posting date text.
applyBy	String	Apply-by date when provided.
created_at	String	Listing creation timestamp.
modified_at	String	Last modification timestamp.
cityId_exact	Array	Source city IDs.
provinceId_exact	Array	Source province IDs.
countryId_exact	Number	Source country ID.
latlng	Array	Source latitude/longitude values.
industry_exact	Number	Source industry category ID.
careerLevel_Id	Number	Source career-level ID.
jobSource	String	Source classification when provided.
whereFrom	String	Origin tag when provided.
scraped_at	String	ISO timestamp of extraction.

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Usage Examples

Basic Search

{
    "keyword": "software engineer",
    "results_wanted": 30
}

City-Filtered Search

{
    "keyword": "data analyst",
    "location": "Lahore",
    "results_wanted": 50
}

Broad Collection

{
    "keyword": "all",
    "results_wanted": 200
}

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Sample Output

{
    "jid": "1823712",
    "permaLink": "software-engineer-ai-ml-lahore-jobs-1823712",
    "title": "Software Engineer (AI / ML)",
    "company": "Infotech",
    "city": "Lahore",
    "skills": ["Python", "TensorFlow", "Scikit-learn"],
    "applyBy": "2026-03-20T00:00:00Z",
    "created_at": "2026-03-01T10:11:12Z",
    "job_id": "1823712",
    "url": "https://www.rozee.pk/software-engineer-ai-ml-lahore-jobs-1823712",
    "location": "Lahore",
    "salary": "PKR 250,000 - 350,000",
    "contract_type": "Full Time/Permanent",
    "experience": "3 Years",
    "description_text": "We are looking for a skilled Software Engineer specializing in Artificial Intelligence and Machine Learning...",
    "date_posted": "Mar 01, 2026",
    "scraped_at": "2026-03-02T08:57:00.000Z"
}

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Tips for Best Results

Start With Focused Keywords

• Use specific role names for high relevance.
• Use broader terms for larger datasets.

Balance Volume and Speed

• Keep results_wanted near 20-100 for quick runs.
• Increase results_wanted when you need deeper coverage.

Use Reliable Proxies

• Residential proxy groups generally improve stability on larger runs.

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Integrations

Connect your dataset to:

• Google Sheets - Reporting and ad hoc analysis.
• Airtable - Searchable recruiting databases.
• Slack - New-listing notifications.
• Webhooks - Push updates to internal services.
• Make - Automated no-code workflows.
• Zapier - Trigger downstream business automations.

Export Formats

• JSON - Programmatic usage and APIs.
• CSV - Spreadsheet workflows.
• Excel - Business reporting.
• XML - System integrations.

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Frequently Asked Questions

How many jobs can I collect?

You can collect up to your configured results_wanted, subject to available results.

Can I filter by city?

Yes. Use the location field to keep only jobs matching your target location text.

Why are some fields missing in certain jobs?

Some listings do not publish every field. The actor only returns available values.

Does it handle pagination automatically?

Yes. It iterates result pages until limits are reached or no more jobs are available.

Is output ready for analytics?

Yes. Records include normalized core fields plus extended metadata for deeper analysis.

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Support

For issues or feature requests, use Apify Console support channels.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

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Legal Notice

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