Arbeidsplassen.no Scraper - Rimelig Low-costπŸ’²πŸ”₯πŸ’ΌπŸ‡³πŸ‡΄ avatar

Arbeidsplassen.no Scraper - Rimelig Low-costπŸ’²πŸ”₯πŸ’ΌπŸ‡³πŸ‡΄

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Arbeidsplassen.no Scraper - Rimelig Low-costπŸ’²πŸ”₯πŸ’ΌπŸ‡³πŸ‡΄

Arbeidsplassen.no Scraper - Rimelig Low-costπŸ’²πŸ”₯πŸ’ΌπŸ‡³πŸ‡΄

Scrape job listings from Arbeidsplassen.no πŸ’ΌπŸ”ŽπŸ‡³πŸ‡΄ with a powerful Norway job scraper. Extract job titles, employer names, locations, and job URLs from search pages. Ideal for labour market analysis, recruitment intelligence, and building structured job datasets at scale πŸ“ŠπŸš€

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Arbeidsplassen Jobs Scraper - PrimeScrape


Arbeidsplassen Jobs Scraper πŸ’ΌπŸ”ŽπŸ‡³πŸ‡΄

The Arbeidsplassen Jobs Scraper is a fast, reliable, and scalable automation tool designed to extract structured job listings directly from Arbeidsplassen (NAV), the official Norwegian job portal.

It transforms raw job postings into clean, structured datasets ready for labour market analysis, recruitment intelligence, hiring insights, and data-driven applications.


Arbeidsplassen Jobs Scraper πŸ§ πŸ’ΌπŸ“ˆ

This scraper automatically extracts structured job listings from Arbeidsplassen search result pages based on provided URLs.

Ideal for recruiters, analysts, HR platforms, developers, and labour market researchers focused on Norway.


🎯 What This Scraper Does

Simply provide one or multiple Arbeidsplassen search URLs and the number of items to extract, and the scraper will automatically collect structured job data.

βœ… Extracts job listings from Arbeidsplassen (NAV)

βœ… Supports search result URLs (keyword, county, occupation)

βœ… Handles pagination automatically (25 jobs per page)

βœ… Respects max items per URL limits

βœ… Extracts job metadata and structured fields

βœ… Optional deep scraping of job detail pages

βœ… Structures data for analytics & integrations

βœ… Ready for dashboards, datasets & pipelines


πŸ“Š Data Extracted

πŸ’Ό Job Fields

FieldDescription
πŸ†” jobIdUnique job identifier
πŸ’Ό titleJob title
🏷 occupationOccupation category
🏒 employerHiring employer
πŸ“ locationJob location
πŸ“… postedDateJob posting date
⏳ deadlineApplication deadline
⚑ superfastApplyFast apply indicator
🏷 tagsJob tags
πŸ”— detailUrlJob detail page

🧩 Additional Fields (Detail Scraping Enabled)

FieldDescription
πŸ’Ό jobTitleJob title from detail page
πŸ“… startDateJob start date
πŸ“„ employmentTypeType of employment
⏰ workScheduleWork schedule
🌍 workLanguageWorking language
πŸ‘₯ numberOfPositionsNumber of positions
🏠 remotePolicyRemote work policy
πŸ“§ applyEmailApplication email
πŸ“… applyDeadlineDetailDetailed deadline
πŸ‘€ contactNameContact person
πŸ“§ contactEmailContact email
🏭 companySectorCompany sector
🌐 companyWebsiteCompany website
πŸ“ companyDescriptionCompany description
πŸ†” adNumberAdvertisement ID
πŸ“… lastModifiedLast update date
πŸ“‘ adSourceSource of listing
πŸ“„ fullDescriptionFull job description

πŸ›  How to Use

1️⃣ Configure Input

Provide one or multiple Arbeidsplassen search URLs:

{
"urls": [
"https://arbeidsplassen.nav.no/stillinger?v=5&q=AI",
"https://arbeidsplassen.nav.no/stillinger?county=OSLO&v=5"
],
"maxitems": 50,
"scrapeDetails": false
}

2️⃣ Run the Actor

The scraper will:

β€’ Open Arbeidsplassen search pages

β€’ Automatically paginate results (increments of 25)

β€’ Extract job listings

β€’ Optionally visit job detail pages

β€’ Collect metadata & descriptions

β€’ Structure and clean the dataset

β€’ Stop when maxitems limit is reached

3️⃣ Export the Dataset

Download your results in multiple formats:

βœ… JSON

βœ… CSV

βœ… Excel

βœ… XML

βœ… HTML


βš™οΈ Input Configuration

πŸ“₯ Input Example

{
"urls": [
"https://arbeidsplassen.nav.no/stillinger?v=5&q=AI"
],
"maxitems": 75,
"scrapeDetails": true
}

Input Fields

FieldTypeDescription
urlsarrayList of Arbeidsplassen search URLs
maxitemsintegerMaximum number of job listings per URL
scrapeDetailsbooleanEnable detailed scraping (slower but richer data)

πŸ“€ Output Example

{
"jobId": "123456",
"title": "Data Analyst",
"employer": "Example Company",
"location": "Oslo, Norway",
"postedDate": "2026-03-15",
"deadline": "2026-04-01",
"detailUrl": "https://arbeidsplassen.nav.no/stillinger/stilling/123456"
}

πŸ“Š Output explanation

FieldDescription
jobIdUnique job ID
titleJob title
employerCompany name
locationJob location
postedDatePosting date
deadlineApplication deadline
detailUrlJob detail link

🌍 Why Use This Scraper?

πŸ’Ό Recruitment Intelligence β€” Monitor hiring activity in Norway

πŸ“Š Labour Market Analysis β€” Analyze job demand & occupations

πŸ“ Regional Insights β€” Study jobs by county and region

πŸ€– AI & Data Science β€” Build structured datasets for ML

πŸ”„ Automation β€” Schedule recurring scraping

⚑ Scalable β€” Designed for large datasets


⚠️ Disclaimer

This tool is an independent solution and is not affiliated with or endorsed by the Norwegian Labour and Welfare Administration (NAV) or Arbeidsplassen.


πŸ’Έ Pricing

This scraper runs on a pay per events subscription model.

You only pay for successful runs.

πŸ’³ Price: $2.98 / 1000 results


If you're interested in jobs scraping solutions, explore more tools:

(Coming soon)


πŸ“¬ Support

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