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Nukrigulf Job Scraper

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from $1.00 / 1,000 results

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Nukrigulf Job Scraper

Nukrigulf Job Scraper

Introducing the Nukrigulf Job Scraper, a lightweight actor for efficiently scraping job listings from Nukrigulf. Fast and simple. For best results and reliable data extraction, the use of residential proxies is strongly advised. Get the job data you need!

Pricing

from $1.00 / 1,000 results

Rating

4.7

(7)

Developer

Shahid Irfan

Shahid Irfan

Maintained by Community

Actor stats

1

Bookmarked

29

Total users

9

Monthly active users

7 hours ago

Last modified

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Naukrigulf Job Scraper

Extract Naukrigulf job listings quickly and reliably for hiring intelligence, recruitment monitoring, and labor-market analysis. Collect structured job data including titles, companies, locations, experience ranges, posting dates, and job links. Ideal for teams building dashboards, market reports, or searchable job datasets.


Features

  • Targeted Job Search — Collect jobs by keyword, location, or a direct search URL.
  • Flexible Result Limits — Control how many jobs and pages to collect per run.
  • Freshness Control — Filter by posting recency (24h, 7d, 30d, or all).
  • Clean Structured Output — Save normalized job records in the Apify dataset.
  • Duplicate Handling — Avoid repeated job entries during pagination.

Use Cases

Recruitment Intelligence

Monitor active hiring trends across regions and industries. Build weekly snapshots of open roles and hiring velocity.

Market Research

Analyze demand by title, experience band, and geography. Track how hiring patterns shift over time.

Lead Generation

Collect company-level job posting data for sales and outreach workflows. Prioritize organizations with active hiring.

Talent Strategy

Benchmark common role requirements and expected experience levels. Support workforce planning and skills mapping.


Input Parameters

ParameterTypeRequiredDefaultDescription
startUrlStringNoDirect Naukrigulf search URL. If provided, it can override manual filters.
keywordStringNo"software engineer"Primary search keyword.
regionStringNo"Dubai"Region/location filter.
results_wantedIntegerNo20Maximum jobs to collect. Pages are auto-calculated from this value.
proxyConfigurationObjectNoApify ProxyProxy settings for better reliability.

Output Data

Each dataset item contains:

FieldTypeDescription
job_idStringUnique job identifier
job_titleStringJob title
companyStringCompany name
company_idStringCompany identifier
company_urlStringCompany profile URL
locationStringJob location
experience_min_yearsNumberMinimum experience
experience_max_yearsNumberMaximum experience
salaryStringSalary text if available
job_typeStringJob type if detected
job_urlStringJob posting URL
date_postedStringISO date/time of posting
description_textStringPlain-text description
description_htmlStringHTML description
summaryStringShort listing summary
vacanciesNumberVacancy count if available
search_locationStringLocation used for search
search_keywordStringKeyword used for search
rawObjectOriginal source payload

Usage Examples

{
"keyword": "software engineer",
"region": "Dubai",
"results_wanted": 20
}
{
"keyword": "data analyst",
"region": "Riyadh",
"results_wanted": 20
}

Direct Start URL

{
"startUrl": "https://www.naukrigulf.com/software-engineer-jobs-in-dubai",
"results_wanted": 20
}

Sample Output

{
"job_id": "123456",
"job_title": "Senior Software Engineer",
"company": "Example Tech LLC",
"company_id": "9988",
"company_url": "https://www.naukrigulf.com/example-tech-llc-careers-cid-9988",
"location": "Dubai, United Arab Emirates",
"experience_min_years": 4,
"experience_max_years": 8,
"salary": "AED 15,000 - AED 25,000",
"job_type": "Full-time",
"job_url": "https://www.naukrigulf.com/senior-software-engineer-jobs-in-dubai-123456",
"date_posted": "2026-02-27T08:45:00.000Z",
"description_text": "We are looking for a Senior Software Engineer...",
"description_html": "<p>We are looking for a Senior Software Engineer...</p>",
"summary": "Build scalable web platforms and services.",
"vacancies": 2,
"search_location": "Dubai",
"search_keyword": "software engineer",
"raw": {}
}

Tips for Best Results

Start With QA-Safe Limits

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

Use Focused Search Terms

  • Prefer specific role names instead of broad terms.
  • Run separate searches per region for cleaner analysis.

Improve Reliability

  • Use proxyConfiguration with residential proxies when needed.
  • Keep max_pages reasonable to avoid long runtimes.

Integrations

  • Google Sheets — Share and analyze collected job data quickly.
  • Airtable — Build searchable recruiting databases.
  • Slack — Send run alerts and summaries to channels.
  • Webhooks — Push fresh job items to your backend.
  • Make — Automate enrichment and notifications.
  • Zapier — Connect datasets with no-code workflows.

Export Formats

  • JSON — API and engineering workflows
  • CSV — Spreadsheet and BI tools
  • Excel — Business reporting
  • XML — Legacy system integrations

Frequently Asked Questions

How many jobs can I collect?

You can collect as many as available, controlled by maxJobs / results_wanted and max_pages.

Which input should I use: maxJobs or results_wanted?

Both are supported as result limits. results_wanted is included for QA and integration compatibility.

Why are some fields empty?

Certain listings may not provide salary, vacancy count, or full company details.

Can I run with a direct search URL?

Yes, set startUrl to a valid Naukrigulf search page.

How do I get more stable runs?

Use proxy configuration and keep default limits for test runs.


Support

For issues or feature requests, use the Apify Console issue channels.

Resources


This actor is intended for legitimate data collection and analysis. You are responsible for complying with website terms and applicable laws in your jurisdiction.