# Arbeidsplassen.no Scraper - Rimelig Low-costπŸ’²πŸ”₯πŸ’ΌπŸ‡³πŸ‡΄ (`delectable_incubator/arbeidsplassen-no-scraper---rimelig-low-cost`) Actor 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€ - **URL**: https://apify.com/delectable\_incubator/arbeidsplassen-no-scraper---rimelig-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Jobs, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README

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 | Field | Description | | ------------------ | --------------------- | | πŸ†” `jobId` | Unique job identifier | | πŸ’Ό `title` | Job title | | 🏷 `occupation` | Occupation category | | 🏒 `employer` | Hiring employer | | πŸ“ `location` | Job location | | πŸ“… `postedDate` | Job posting date | | ⏳ `deadline` | Application deadline | | ⚑ `superfastApply` | Fast apply indicator | | 🏷 `tags` | Job tags | | πŸ”— `detailUrl` | Job detail page | 🧩 Additional Fields (Detail Scraping Enabled) | Field | Description | | ------------------------ | -------------------------- | | πŸ’Ό `jobTitle` | Job title from detail page | | πŸ“… `startDate` | Job start date | | πŸ“„ `employmentType` | Type of employment | | ⏰ `workSchedule` | Work schedule | | 🌍 `workLanguage` | Working language | | πŸ‘₯ `numberOfPositions` | Number of positions | | 🏠 `remotePolicy` | Remote work policy | | πŸ“§ `applyEmail` | Application email | | πŸ“… `applyDeadlineDetail` | Detailed deadline | | πŸ‘€ `contactName` | Contact person | | πŸ“§ `contactEmail` | Contact email | | 🏭 `companySector` | Company sector | | 🌐 `companyWebsite` | Company website | | πŸ“ `companyDescription` | Company description | | πŸ†” `adNumber` | Advertisement ID | | πŸ“… `lastModified` | Last update date | | πŸ“‘ `adSource` | Source of listing | | πŸ“„ `fullDescription` | Full 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 | Field | Type | Description | | --------------- | ------- | ------------------------------------------------- | | `urls` | array | List of Arbeidsplassen search URLs | | `maxitems` | integer | Maximum number of job listings per URL | | `scrapeDetails` | boolean | Enable 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 | Field | Description | | ------------ | -------------------- | | `jobId` | Unique job ID | | `title` | Job title | | `employer` | Company name | | `location` | Job location | | `postedDate` | Posting date | | `deadline` | Application deadline | | `detailUrl` | Job 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 --- ### Related Actors If you're interested in jobs scraping solutions, explore more tools: (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation Contact for custom scraping solutions or enterprise requests via Apify or by email. # Actor input Schema ## `urls` (type: `array`): List of arbeidsplassen.nav.no/stillinger search URLs to scrape. Examples: β€’ https://arbeidsplassen.nav.no/stillinger β€’ https://arbeidsplassen.nav.no/stillinger?v=5&q=AI β€’ https://arbeidsplassen.nav.no/stillinger?county=FINNMARK&v=5 β€’ https://arbeidsplassen.nav.no/stillinger?v=5&q=data&from=50 You can start from any offset β€” the scraper continues from there automatically. ⚠️ URLs must be from arbeidsplassen.nav.no/stillinger. ## `maxitems` (type: `integer`): Maximum number of job listings to collect per URL. ## `scrapeDetails` (type: `boolean`): If enabled, the scraper will visit each job's detail page to extract additional fields: β€’ Full job description β€’ Employment type, start date, work schedule β€’ Number of positions, remote policy, work language β€’ Apply email & deadline β€’ Contact person (name, title, email) β€’ Company sector, website & description β€’ Ad metadata (number, source, last modified) ⚠️ Enabling this significantly increases runtime as each job requires a separate page visit. ## Actor input object example ```json { "urls": [ "https://arbeidsplassen.nav.no/stillinger?v=5&q=AI", "https://arbeidsplassen.nav.no/stillinger?county=OSLO&v=5" ], "maxitems": 40, "scrapeDetails": false } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://arbeidsplassen.nav.no/stillinger?v=5&q=AI", "https://arbeidsplassen.nav.no/stillinger?county=OSLO&v=5" ], "maxitems": 40 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/arbeidsplassen-no-scraper---rimelig-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": [ "https://arbeidsplassen.nav.no/stillinger?v=5&q=AI", "https://arbeidsplassen.nav.no/stillinger?county=OSLO&v=5", ], "maxitems": 40, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/arbeidsplassen-no-scraper---rimelig-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://arbeidsplassen.nav.no/stillinger?v=5&q=AI", "https://arbeidsplassen.nav.no/stillinger?county=OSLO&v=5" ], "maxitems": 40 }' | apify call delectable_incubator/arbeidsplassen-no-scraper---rimelig-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/arbeidsplassen-no-scraper---rimelig-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Arbeidsplassen.no Scraper - Rimelig Low-costπŸ’²πŸ”₯πŸ’ΌπŸ‡³πŸ‡΄", "description": "Scrape job listings from Arbeidsplassen.no πŸ’ΌπŸ”ŽπŸ‡³πŸ‡΄ with a powerful Norway job scraper.\n\nExtract job titles, employer names, locations, and job URLs from search pages. \n\nIdeal for labour market analysis, recruitment intelligence, and building structured job datasets at scale πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "NSIMg7qHLguJrldDo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~arbeidsplassen-no-scraper---rimelig-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-arbeidsplassen-no-scraper---rimelig-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~arbeidsplassen-no-scraper---rimelig-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-arbeidsplassen-no-scraper---rimelig-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~arbeidsplassen-no-scraper---rimelig-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-arbeidsplassen-no-scraper---rimelig-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "urls", "maxitems" ], "properties": { "urls": { "title": "Arbeidsplassen Search URLs πŸ”", "type": "array", "description": "List of arbeidsplassen.nav.no/stillinger search URLs to scrape. \n\nExamples:\nβ€’ https://arbeidsplassen.nav.no/stillinger\nβ€’ https://arbeidsplassen.nav.no/stillinger?v=5&q=AI\nβ€’ https://arbeidsplassen.nav.no/stillinger?county=FINNMARK&v=5\nβ€’ https://arbeidsplassen.nav.no/stillinger?v=5&q=data&from=50\n\nYou can start from any offset β€” the scraper continues from there automatically.\n\n⚠️ URLs must be from arbeidsplassen.nav.no/stillinger.", "items": { "type": "string" } }, "maxitems": { "title": "Maximum Jobs per URL πŸ“„", "type": "integer", "description": "Maximum number of job listings to collect per URL. ", "default": 40 }, "scrapeDetails": { "title": "Scrape Job Details πŸ”Ž", "type": "boolean", "description": "If enabled, the scraper will visit each job's detail page to extract additional fields:\n\nβ€’ Full job description\nβ€’ Employment type, start date, work schedule\nβ€’ Number of positions, remote policy, work language\nβ€’ Apply email & deadline\nβ€’ Contact person (name, title, email)\nβ€’ Company sector, website & description\nβ€’ Ad metadata (number, source, last modified)\n\n⚠️ Enabling this significantly increases runtime as each job requires a separate page visit.", "default": false } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```