RozeePk Jobs Scraper

RozeePk Jobs Scraper — Pakistan Job Listings from Rozee.pk

Scrape Rozee.pk job listings in bulk. Extract job titles, companies, salaries, skills, experience levels, full descriptions, and location data from Pakistan's largest job portal. Filter by keyword and city. Export as JSON, CSV, or Excel.

Search by keyword, filter by city, and extract 20+ data fields per listing — job titles, companies, salaries, skills, experience requirements, full descriptions, posting dates, and application deadlines from Rozee.pk.

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Apify Actor: parsebird/rozeepk-jobs-scraper — scrapes Rozee.pk job listings. $0.001/job ($1/1000). Call via ApifyClient: client.actor("parsebird/rozeepk-jobs-scraper").call(run_input={"keyword": "software engineer", "location": "", "results_wanted": 20}). Inputs: keyword (string, default "software engineer"), location (string, optional city filter e.g. "Lahore", "Karachi"), results_wanted (integer, default 20, max 500). Output: dataset with job_id, url, title, company, location, salary, contract_type, experience, skills, description_text, date_posted, applyBy, scraped_at. API docs: https://docs.apify.com/api/v2 Token: https://console.apify.com/settings/integrations

What is RozeePk Jobs Scraper?

RozeePk Jobs Scraper is an Apify Actor that extracts job listings from Rozee.pk — Pakistan's largest and most popular job portal. It uses browser-based scraping to navigate search results and collect structured data from each listing, including the full job description, required skills, experience level, salary information, and posting dates.

Think of it as a Rozee.pk API alternative — no official API exists, but this scraper gives you the same structured data you'd get from one. It's ideal for job market research, recruitment analytics, salary benchmarking, and career trend analysis in Pakistan.

What data can you extract from Rozee.pk?

Field	Description
job_id	Unique Rozee.pk job identifier
url	Direct link to the job listing
title	Job title (e.g., "Software Engineer", "Data Analyst")
company	Company name
location	City (e.g., Lahore, Karachi, Islamabad)
salary	Salary range when listed (PKR)
contract_type	Job type (Full-time, Part-time, Contract)
experience	Required experience (e.g., "2 Years", "Fresh")
skills	Array of required skills
description_text	Full job description with responsibilities
date_posted	When the job was posted
applyBy	Application deadline
scraped_at	Timestamp of when the data was collected

Additional fields include description_html, created_at, modified_at, cityId_exact, provinceId_exact, countryId_exact, latlng, industry_exact, careerLevel_Id, jobSource, and whereFrom.

How to scrape Rozee.pk

1. Go to RozeePk Jobs Scraper on Apify Store and click Try for free
2. Enter a search keyword — Use specific role names like "software engineer" or "data analyst" for targeted results, or "all" for broad coverage
3. Filter by city (optional) — Enter a Pakistani city name like Lahore, Karachi, or Islamabad to narrow results
4. Set the result limit — Start with 20 for a quick test, increase up to 500 for larger datasets
5. Run the scraper — Click Start and wait for results (each job listing is enriched with full details from its detail page)
6. Export your data — Download as JSON, CSV, or Excel, or access via the Apify API

Input parameters

Parameter	Type	Required	Default	Description
keyword	string	No	software engineer	Job search keyword. Use specific roles or "all" for broad results
location	string	No	—	City filter (e.g., Lahore, Karachi, Islamabad). Leave empty for all locations
results_wanted	integer	No	20	Maximum job records to save (1–500)
proxyConfiguration	object	No	Residential	Proxy settings (residential proxies recommended)

Output example

{
    "job_id": "1854078",
    "url": "https://www.rozee.pk/spacecom-product-engineer-karachi-jobs-1854078",
    "title": "Product Engineer",
    "company": "Spacecom",
    "location": "Karachi",
    "salary": "",
    "contract_type": "",
    "experience": "1 Year",
    "skills": [
        "Agile Methodologies",
        "Software Testing",
        "CI/CD",
        "Test Automation Frameworks",
        "Quality Assurance",
        "Technical Documentation",
        "Problem Solving"
    ],
    "description_text": "Spacecom is seeking a dedicated Product Engineer to enhance the reliability and quality of our expanding product portfolio...",
    "date_posted": "Jun 3, 2026",
    "applyBy": "Jul 3, 2026",
    "scraped_at": "2026-06-03T14:03:43.000Z"
}

Download results in JSON, CSV, Excel, or access via the Apify API.

Use cases

• 📊 Job market research — Analyze job openings, required skills, and experience levels across Pakistan's tech sector
• 💰 Salary benchmarking — Compare salary ranges for specific roles and cities to inform compensation strategies
• 🎯 Recruitment intelligence — Monitor competitor hiring patterns and identify talent demand trends
• 📈 Career trend analysis — Track which skills and roles are in highest demand on Pakistan's largest job portal
• 🏢 Company research — See what positions companies are hiring for and what qualifications they require
• 🤖 Training data collection — Build datasets of Pakistani job listings for NLP, resume matching, or career recommendation systems
• 📅 Job market monitoring — Schedule regular runs with Apify Schedules to track how the job market evolves over time
• 🔌 Pipeline integration — Feed job data into Google Sheets, Slack, Zapier, Make, or any tool via Apify Integrations

Tips for best results

• Use specific keywords — "software engineer" returns more relevant results than "engineer"
• Start small — Set results_wanted to 20 for your first run to validate the output before scaling up
• City filtering — The location filter matches jobs by city name. Use exact Pakistani city names (e.g., "Lahore", not "LHR")
• Broad collection — Set keyword to "all" to scrape across all job categories without keyword filtering
• Schedule runs — Use Apify Schedules to monitor new postings daily or weekly

How to use via API — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("parsebird/rozeepk-jobs-scraper").call(run_input={
    "keyword": "software engineer",
    "location": "Lahore",
    "results_wanted": 20,
})

for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{job['title']} at {job['company']} — {job['location']} — {job['experience']}")

How to use via API — JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('parsebird/rozeepk-jobs-scraper').call({
    keyword: 'software engineer',
    location: 'Lahore',
    results_wanted: 20,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(job => {
    console.log(`${job.title} at ${job.company} — ${job.location} — ${job.experience}`);
});

How much does it cost to scrape Rozee.pk?

RozeePk Jobs Scraper uses pay-per-event pricing — you pay per job scraped, not for platform compute time.

How much does it cost to scrape 1,000 Rozee.pk jobs?

$1.00. Each job listing costs $0.001. New users get a free trial with $5 of platform credit — enough for 5,000 job listings.

How much does it cost to scrape 100 Rozee.pk jobs?

$0.10. A quick export covering one keyword search.

Pricing

Event	Price per event	Price per 1,000
job-scraped	$0.001	$1.00

Each job listing pushed to the dataset counts as one event. Apify platform usage (compute, proxy) is included in the event price.

Typical costs:

• 20 jobs (quick test): ~$0.02
• 100 jobs (one keyword): ~$0.10
• 500 jobs (broad search): ~$0.50
• 1,000 jobs (multiple keywords): ~$1.00

Is it legal to scrape Rozee.pk?

This Actor extracts publicly available data from Rozee.pk — the same job listing data any browser user can see on the search results and job detail pages. No login or authentication is used. The scraper accesses only publicly visible job postings.

Web scraping of publicly available data is generally legal in the United States and the European Union, as established by the hiQ Labs v. LinkedIn ruling. For more information, see Apify's guide on the legality of web scraping.

Users are responsible for ensuring their use of extracted data complies with applicable laws and Rozee.pk's Terms of Service in their jurisdiction.

Related Actors

Looking for more job scraping and data extraction tools? Check out these ParseBird actors:

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Browse all ParseBird actors on Apify Store.

FAQ

What keywords work best for searching Rozee.pk? Use specific job titles like "software engineer", "data analyst", "graphic designer", or "marketing manager" for targeted results. Use "all" to scrape broadly across all job categories.

Can I filter jobs by city? Yes. Use the location parameter with a Pakistani city name — Lahore, Karachi, Islamabad, Rawalpindi, Faisalabad, Peshawar, etc. Leave it empty to search all locations.

How many jobs can I scrape per run? Up to 500 jobs per run. Start with 20 for testing, then increase for production runs. Each job requires a detail page visit for full data, so larger runs take proportionally longer.

Does it extract the full job description? Yes. RozeePk Jobs Scraper visits each job's detail page to extract the full description text, responsibilities, required skills, experience level, and application deadline.

Can I schedule recurring runs? Yes. Use Apify Schedules to run daily, weekly, or at any interval. Monitor new job postings by comparing datasets between runs.

Can I access the data via API? Yes. Use the Apify API or the official Python and JavaScript client libraries to run the scraper and retrieve results programmatically.

What export formats are supported? JSON, CSV, Excel (XLSX), XML, HTML, and RSS. Download directly from the Apify Console or via the API.

Does it require a Rozee.pk account? No. This scraper accesses publicly available job listings. No Rozee.pk login or API key is needed.

Is there a free trial? Yes. New Apify users get $5 of free platform credit, which covers approximately 5,000 Rozee.pk job listings.

I found an issue or have a feature request. Open an issue on the Issues tab or contact ParseBird via the Apify Console.