Naukrigulf Jobs Scraper - Gulf Job Board

What does Naukrigulf Jobs Scraper do?

Naukrigulf Jobs Scraper extracts structured job data from naukrigulf.com — including salary data, contact details, company metadata, full descriptions, and location data. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and contact information) where the source provides them.

Key features

• Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.
• Detail enrichment — full descriptions, company metadata, and contact information where the source provides them.
• Compact mode — AI-agent and MCP-friendly payloads with core fields only.

What data can you extract from naukrigulf.com?

Each result includes Core listing fields (jobId, jobKey, title, summary, location, locationType, jobCountry, and localities, and more), detail fields when enrichment is enabled (description, descriptionHtml, descriptionMarkdown, and detailFetched), contact and apply information (contactName, contactDesignation, contactCountry, and contactCity), and company metadata (company, companyId, companyLogo, and companyLogoTopEmployer). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions, company metadata, and contact information where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• mode — How to discover jobs. 'search' runs a keyword + location search. 'jobUrls' skips search and fetches each canonical naukrigulf job URL directly (incremental works per JobId, 404s cached 30d). (default: "search")
• query — Job keywords, e.g. 'developer', 'accountant', 'project manager'. Accepts multiple keywords separated by commas. Required when mode=search.
• jobUrls — List of canonical naukrigulf.com job URLs (e.g. https://www.naukrigulf.com/
• location — City or country filter (e.g. 'dubai', 'riyadh', 'uae', 'qatar'). Leave empty for all Gulf locations.
• maxResults — Maximum number of jobs to fetch. 0 = unlimited (fetches up to the API total). (default: 25)
• includeDetails — Fetch each job's full detail page (description, desired candidate, contact info, salary). Slower but richer output. (default: true)
• descriptionMaxLength — Truncate description to N characters. 0 = no truncation. (default: 0)
• compact — Emit only core fields (jobId, title, company, location, salary, url, postedAt). Useful for AI agents and MCP workflows. (default: false)
• incrementalMode — Compare against previous run state; emit NEW/UPDATED/UNCHANGED/EXPIRED classification. (default: false)
• stateKey — Stable identifier for the tracked universe (required when Incremental Mode is on).
• emitUnchanged — Also emit jobs that have not changed since the last run. (default: false)
• emitExpired — Also emit jobs that have disappeared since the last run. (default: false)
• ...and 1 more parameters

Input examples

Basic search — Keyword-driven search scoped to a city with a tight radius.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "software engineer",
  "location": "dubai",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "software engineer",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "d59bda0f65b592d582f2e5c4101eba143fdcd9806324c04f62fd4f07ab94ce36",
  "jobKey": "140426000178",
  "title": "Sharepoint Developer, Share Point Developer",
  "summary": "Design and develop custom SharePoint solutions, implement SharePoint environments, and collaborate with stakeholders, requiring skills in C#, PowerShell, and relevant certifications.",
  "company": "Hexalyze LLC",
  "companyId": "340739",
  "companyLogo": null,
  "companyLogoTopEmployer": null,
  "companyProfile": null,
  "companyWebsite": "www.hexalyze.com",
  "companyHomepage": null,
  "location": "Dubai - United Arab Emirates (UAE)",
  "locationType": "On Site",
  "jobCountry": "United Arab Emirates (UAE)",
  "localities": [
    "Dubai"
  ],
  "description": "Design, develop, and maintain custom SharePoint solutions, including web parts, workflows, and features, tailored to specific business needs.\nImplement and configure SharePoint Online and on-premises...",
  "descriptionHtml": "<ul><li>Design, develop, and maintain custom SharePoint solutions, including web parts, workflows, and features, tailored to specific business needs.</li><li>Implement and configure SharePoint Online...",
  "descriptionMarkdown": "- Design, develop, and maintain custom SharePoint solutions, including web parts, workflows, and features, tailored to specific business needs.\n- Implement and configure SharePoint Online and on-premi...",
  "desiredCandidate": "Possesses a Bachelor's degree in Computer Science, Information Technology, or a related field, providing a solid foundation in software development.\n\nHolds relevant certifications such as Microsoft Ce...",
  "desiredCandidateHtml": "<ul><li><p>Possesses a Bachelor's degree in Computer Science, Information Technology, or a related field, providing a solid foundation in software development.</p></li><li><p>Holds relevant certificat...",
  "education": "Bachelors in Computer Application(Computers)",
  "nationality": "Any Arab National",
  "gender": "Any",
  "experienceMin": 1,
  "experienceMax": 3,
  "salaryMinText": "$1,001",
  "salaryMaxText": "$3,000",
  "salaryMin": 5000,
  "salaryMax": 8000,
  "salaryCurrency": "AED",
  "salaryCurrencyBrand": "AED",
  "salaryType": null,
  "salaryHidden": true,
  "employmentType": "Full Time",
  "industry": "IT - Software Services",
  "functionalArea": "IT Software",
  "vacancies": 1,
  "keywords": [
    "C#",
    "PowerShell",
    "SharePoint Online",
    "SharePoint Engineer",
    "SharePoint Framework SPFx",
    "SharePoint Specialist",
    "SharePoint Systems Developer",
    "SharePoint Architect"
  ],
  "keywordsWhitelisted": [
    "c#",
    "powershell",
    "sharepoint specialist"
  ],
  "contactName": "Afifa Aijaz",
  "contactDesignation": "HR Manager",
  "contactCountry": "United Arab Emirates (UAE)",
  "contactCity": "Dubai",
  "contactAddress": "Office 504, Suntech tower, Dubai Silicon Oasis, Dubai, UAE",
  "contactPincode": "",
  "contactPhone": null,
  "contactEmail": null,
  "contactEmailHidden": true,
  "isTopEmployer": false,
  "isTopEmployerLite": false,
  "isFeaturedEmployer": false,
  "isPremium": false,
  "isWebJob": false,
  "isQuickWebJob": false,
  "isFormBasedApply": false,
  "isEasyApply": false,
  "isConsultantJob": true,
  "isConfidentialCompany": false,
  "isArchived": false,
  "isExpired": false,
  "expiringSoon": false,
  "jobRedirection": false,
  "recruiterActive": true,
  "jobSource": "POSTED",
  "jobType": "normal",
  "jobTag": null,
  "referenceNumber": null,
  "micrositeUrl": null,
  "postedAt": "2026-04-14T06:17:14.000Z",
  "url": "https://www.naukrigulf.com/sharepoint-developer-share-point-developer-jobs-in-dubai-uae-in-hexalyze-llc-1-to-3-years-n-cd-340739-jid-140426000178",
  "portalUrl": "https://www.naukrigulf.com/sharepoint-developer-share-point-developer-jobs-in-dubai-uae-in-hexalyze-llc-1-to-3-years-n-cd-340739-jid-140426000178",
  "searchQuery": "developer",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-04-16T21:22:48.285Z",
  "source": "naukrigulf.com",
  "contentHash": "2f3f374bb9b51274a3b9d38bb40497dcc16f316f3749fc0fd67a74f7192a792d",
  "isRepost": false,
  "repostOfId": null,
  "repostDetectedAt": null,
  "changeType": "NEW"
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape naukrigulf.com

1. Go to Naukrigulf Jobs Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, contact info, or company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from naukrigulf.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Build outreach lists using contact details and apply URLs from listings.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape naukrigulf.com?

Naukrigulf Jobs Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per result: $0.002 per job record

Example costs:

• 10 results: $0.03
• 100 results: $0.21
• 500 results: $1

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.21	$0.01	$0.19 (93%)	$0.45
15% — moderate broad query	$0.21	$0.03	$0.17 (83%)	$1.05
30% — high-volume aggregator	$0.21	$0.07	$0.14 (68%)	$1.95

Full re-scrape monthly cost at daily polling: $6.15. First month with incremental costs $0.64 / $1.22 / $2.09 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from naukrigulf.com?

The number of results depends on the search query and available listings on naukrigulf.com. Use the maxResults parameter to control how many results are returned per run.

Does Naukrigulf Jobs Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Naukrigulf Jobs Scraper with other apps?

Yes. Naukrigulf Jobs Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Naukrigulf Jobs Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Naukrigulf Jobs Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape naukrigulf.com?

This actor extracts publicly available data from naukrigulf.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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