Pricing

$19.89/month + usage

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Arbeidsplassen Jobs Scraper - Billig Cheap 💼🔎🇳🇴

Try for free

Looking to collect job listings from Arbeidsplassen.no ? 💼🔎🇳🇴 With this Scraper you can extract job data directly from Arbeidsplassen search pages, including job title, employer name, location, job URL & more Perfect for labour market analysis, recruitment intelligence & job market datasets 📊

Pricing

$19.89/month + usage

Rating

5.0

(1)

Developer

Storm_Scraper

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Arbeidsplassen Job Scraper 💼🔎🇳🇴

The Arbeidsplassen.no (NAV) Job Scraper is a powerful automation tool designed to extract Norwegian job listings from the official job portal operated by Norwegian Labour and Welfare Administration available at Arbeidsplassen.

This actor collects job listings directly from Arbeidsplassen search result pages, automatically navigating pagination and gathering structured labour market data.

It is ideal for building job datasets, labour market intelligence, and recruitment analytics for Norway.

The scraper automatically extracts job metadata such as:

job title

occupation category

employer name

location

posting date

application deadline

job tags

job detail URL

When detail scraping is enabled, the actor can also extract:

full job description

employment type

start date

work schedule

work language

number of positions

remote policy

application email

contact person information

company sector

company website

company description

advertisement metadata

Perfect for:

📊 Labour market analysis 💼 Recruitment intelligence 📈 Hiring trend monitoring 📍 Regional job market insights 🤖 AI / ML datasets

🇳🇴 Norwegian Job Scraping Tool

The Arbeidsplassen Job Scraper works with search result pages from the Norwegian job portal.

Provide one or more search URLs, and the actor will automatically extract structured job listings.

Examples of supported searches:

jobs by keyword

jobs by county

jobs by occupation

multi-page job search results

The scraper automatically follows pagination via offset increments of 25 results per page until the specified limit is reached.

🔎 What This Scraper Does

Simply provide Arbeidsplassen search URLs, and the actor will:

✅ Extract job listings automatically

✅ Follow pagination across multiple search pages

✅ Collect structured job metadata

✅ Optionally scrape full job detail pages

✅ Deliver clean datasets ready for analysis

Each search URL can return dozens or hundreds of jobs depending on the query.

📊 Data Extracted

Each job listing may include the following fields:

Field	Description
🆔 jobId	Unique job identifier
💼 title	Job title
🏷 occupation	Occupation category
🏢 employer	Hiring employer
📍 location	Job location
📅 postedDate	Job posting date
⏳ deadline	Application deadline
⚡ superfastApply	Super-fast application indicator
🏷 tags	Job tags
🔗 detailUrl	Job detail page

When detail scraping is enabled, additional fields may include:

Field	Description
💼 jobTitle	Job title from detail page
📅 startDate	Job start date
📄 employmentType	Type of employment
⏰ workSchedule	Work schedule
🌍 workLanguage	Working language
👥 numberOfPositions	Number of positions
🏠 remotePolicy	Remote work policy
📧 applyEmail	Application email
📅 applyDeadlineDetail	Detailed application deadline
👤 contactName	Contact person name
🏷 contactTitle	Contact person title
📧 contactEmail	Contact email
🏭 companySector	Company sector
🌐 companyWebsite	Company website
📝 companyDescription	Company description
🆔 adNumber	Advertisement number
📅 lastModified	Last modification date
📡 adSource	Source of the job ad
📄 fullDescription	Full job description

🛠 How to Use

1️⃣ Deploy the Actor

Run the actor directly on Apify.

2️⃣ Provide Arbeidsplassen Search URLs

Insert one or more search URLs from the portal.

Examples:

https://arbeidsplassen.nav.no/stillinger https://arbeidsplassen.nav.no/stillinger?v=5&q=data https://arbeidsplassen.nav.no/stillinger?county=OSLO&v=5 https://arbeidsplassen.nav.no/stillinger?v=5&q=AI&from=50

⚠️ URLs must come from:

arbeidsplassen.nav.no/stillinger

You can start from any offset, and the scraper will continue automatically.

3️⃣ Set Maximum Jobs per URL

Define how many job listings should be collected.

Example:

maxitems = 50

The scraper automatically:

navigates through pagination

collects jobs in batches of 25 per page

stops when the limit is reached

stops if multiple pages return no new jobs

4️⃣ Optional: Enable Detail Scraping

You can enable Scrape Job Details to collect additional information such as:

full job description

💸 Pricing

This scraper runs on a monthly subscription model.

You only pay for successful runs.

💳 Price: $19.89 / month

If you're interested in other Rutube, E-commerce, Events, Real Estate, Jobs, Company Leads, YouTube or Facebook scraping solutions, check out these related tools:

You can even apply sentiment analysis on the data text we've extracted! 😃📊:

Sentiment Analysis Text Classification 📈

⚙️ Input Configuration

📥 Input Example

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

Input Fields

Field	Type	Description
urls	array	List of Arbeidsplassen search URLs to scrape. Pagination is handled automatically.
maxitems	integer	Maximum number of job listings to collect per URL.
scrapeDetails	boolean	If enabled, the scraper visits each job detail page to extract additional metadata.

📤 Output Example

{
  "jobId": "123456",
  "title": "Data Analyst",
  "employer": "NHS Digital",
  "location": "London",
  "salary": "£35,000 - £40,000",
  "contractType": "Permanent",
  "workHours": "Full time",
  "postedDate": "2026-03-15",
  "description": "We are looking for a skilled Data Analyst to join our analytics team...",
  "disabilityConfident": "Yes",
  "detailUrl": "https://findajob.dwp.gov.uk/details/123456"
}

📊 Preconfigured Dataset Views

🔎 Overview

The Overview table view allows quick analysis of extracted jobs.

Displayed columns include:

• Job ID • Title • Occupation • Employer • Location • Posted Date • Deadline • Tags • Detail URL • Employment Type • Work Schedule • Remote Policy • Contact Name • Contact Email

This makes it easy to analyze job demand and hiring trends across Norway.

🌍 Why Use This Scraper?

💼 Recruitment Intelligence

Monitor job openings across industries.

📊 Labour Market Research

Analyze demand for occupations and skills.

📍 Regional Job Insights

Study employment opportunities across Norwegian counties.

🤖 AI & Data Science

Build structured job datasets for training models.

Disclaimer

This project is an independent tool and is not affiliated with, endorsed by, or sponsored by Norwegian Labour and Welfare Administration or the Arbeidsplassen.

📫 Support & Contact

😊 Leave a 5-star rating ⭐⭐⭐⭐⭐ if you’re satisfied

🌪️ Storm Scraper https://apify.com/scrapestorm

For questions, feature requests, or custom scraping solutions, contact us directly via Apify or email.

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