# Finn.no Job Scraper - Low-costπŸ’²πŸ”₯πŸ‡³πŸ‡΄πŸ’Ό (`delectable_incubator/finn-no-job-scraper-low-cost`) Actor Scrape Finn.no job listings πŸ‡³πŸ‡΄πŸ’Ό with a powerful Norway job scraper. Extract job titles, company names, locations, posting dates, job descriptions, and direct job URLs. Ideal for recruitment intelligence, labour market analysis, hiring trend tracking, salary research, and employment datasets πŸ“ŠπŸš€ - **URL**: https://apify.com/delectable\_incubator/finn-no-job-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Jobs, Lead generation, Automation - **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

Finn.no Job Scraper

--- ## Finn.no Job Scraper πŸ”πŸ’ΌπŸ‡³πŸ‡΄ The Finn.no Job Scraper is a powerful and scalable Apify Actor designed to extract structured job listings directly from Finn.no search result pages. It enables job market research, recruitment intelligence, hiring trend analysis, labor market monitoring, business intelligence, lead generation, automation workflows, and structured job dataset creation from Norway's largest employment marketplace. --- ### 🎯 What This Scraper Does Simply provide one or more Finn.no search URLs and the scraper handles everything automatically. βœ… Extracts job listings from Finn.no βœ… Supports bulk URL scraping βœ… Automatically processes search result pages βœ… Handles pagination automatically βœ… Applies maxItemsPerUrl limits βœ… Extracts job titles and company information βœ… Captures job categories and locations βœ… Collects posting dates and job URLs βœ… Generates clean and structured datasets βœ… Ready for analytics and recruitment workflows βœ… Export-ready output format --- ### πŸ“Š Data Extracted #### πŸ’Ό Job Information | Field | Description | | --------------- | -------------------------- | | πŸ†” jobId | Unique job identifier | | πŸ’Ό jobTitle | Job title | | 🏒 companyName | Hiring company | | πŸ—‚οΈ jobCategory | Job category or profession | | πŸ“ location | Job location | | πŸ“… postedDate | Job posting date | | πŸ”— jobUrl | Direct job listing URL | | 🌐 sourceUrl | Search URL source | --- ### πŸ›  How to Use #### 1️⃣ Configure Input Provide one or multiple Finn.no search URLs: ```` { "urls": \[ "https://www.finn.no/job/search?location=0.20001\&q=analytisk", "https://www.finn.no/job/search?location=0.20001\&q=developer" ], "maxItemsPerUrl": 100 } ``` #### 2️⃣ Run the Actor β€’ Loads Finn.no search result pages β€’ Processes job listings automatically β€’ Extracts structured job information β€’ Collects company and location data β€’ Applies maxItemsPerUrl limits β€’ Stops automatically when limits are 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://www.finn.no/job/search?location=0.20001\&q=analytisk", "https://www.finn.no/job/search?location=0.20001\&q=developer" ], "maxItemsPerUrl": 100 } ``` #### Input Fields | Field | Type | Description | | -------------- | ------- | --------------------------------------------------------- | | urls | array | List of Finn.no search URLs | | maxItemsPerUrl | integer | Maximum number of jobs to collect per URL (0 = unlimited) | --- ### πŸ“€ Output Example ``` { "jobId": "FINN-987654", "jobTitle": "Data Analyst", "companyName": "Nordic Tech AS", "jobCategory": "Analysis / Data", "location": "Oslo", "postedDate": "2026-01-03", "jobUrl": "https://www.finn.no/job/fulltime/ad.html?finnkode=987654", "sourceUrl": "https://www.finn.no/job/search?location=0.20001\&q=analytisk" } ```` --- ### πŸ“Š Output Explanation | Use Case | Description | | --------------------------- | --------------------------------------- | | πŸ“Š Job Market Research | Analyze hiring trends across Norway | | πŸ’Ό Recruitment Intelligence | Monitor hiring activity and employers | | 🏒 Company Hiring Analysis | Identify active recruiting companies | | πŸ“ˆ Business Intelligence | Feed dashboards and reporting systems | | πŸ€– Automation Pipelines | Integrate job data into workflows | | 🎯 Lead Generation | Build prospecting and outreach datasets | --- ### 🌍 Why Use This Scraper? πŸ“Š Collect structured job data at scale πŸ‡³πŸ‡΄ Monitor Norway's largest job marketplace πŸ’Ό Track hiring activity by company and category πŸ“ˆ Build recruitment-ready datasets ⚑ Fast and automated extraction πŸ€– Automation-ready output πŸ“¦ Bulk URL scraping support 🧠 Ideal for recruiters, analysts, researchers, startups, and agencies πŸš€ Scalable for both small and enterprise workloads --- ### ❓ FAQ #### How does this scraper work? The scraper loads Finn.no search result pages and extracts structured job information including job titles, companies, categories, locations, posting dates, and job URLs. #### Can I scrape multiple searches in one run? Yes. You can provide multiple search URLs inside the urls array. #### Does the scraper handle pagination? Yes. Pagination is handled automatically. #### Can I monitor new jobs over time? Yes. You can schedule recurring Apify runs to track newly published job opportunities. #### Is the data collected live? Yes. Data is extracted directly from Finn.no during every run. #### What export formats are supported? JSON, CSV, Excel, XML, and HTML. #### Can I use the extracted data commercially? Yes. The extracted data can be used for recruitment, analytics, lead generation, monitoring, and commercial applications. #### What happens if the scraper fails? The Actor includes retry mechanisms and automated error handling to improve reliability. #### How long does a run take? Most extractions complete within minutes depending on the number of URLs and requested results. --- ### πŸš€ How to Use 1️⃣ Sign up β€” Create a free Apify account 2️⃣ Find the tool β€” Search for "Finn.no Job Scraper" in the Apify Store 3️⃣ Configure URLs β€” Add one or multiple Finn.no search URLs 4️⃣ Run it β€” Start the Actor and wait for extraction 5️⃣ Export data β€” Download results in JSON, CSV, Excel, XML, or HTML --- ### ⚠️ Disclaimer This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by Finn.no. --- ### πŸ’Έ Pricing This scraper runs on a **pay-per-result pricing model**. You only pay for successfully extracted records. πŸ’³ **Price:** $0.94 / 1,000 results --- ### Related Actors If you're interested in other Jobs, Recruitment, Lead Generation, Company Research, or Business Intelligence scraping solutions, explore more tools from PrimeScrape. (Coming soon) --- ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool. --- ### 🌍 PrimeScrape Built for scalable web data extraction & automation. Contact us for custom scraping solutions or enterprise requests via Apify. # Actor input Schema ## `target_urls` (type: `array`): List of Finn.no job search URLs to scrape. One URL per entry. Example: https://www.finn.no/job/search?location=0.20001&q=analytisk ## `max_items` (type: `integer`): Limits how many job listings will be scraped PER URL from Finn.no. ## Actor input object example ```json { "target_urls": [ "https://www.finn.no/job/search?location=0.20001&q=analytisk", "https://www.finn.no/job/search?q=utvikler" ], "max_items": 60 } ```` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "target_urls": [ "https://www.finn.no/job/search?location=0.20001&q=analytisk", "https://www.finn.no/job/search?q=utvikler" ], "max_items": 60 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/finn-no-job-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${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 = { "target_urls": [ "https://www.finn.no/job/search?location=0.20001&q=analytisk", "https://www.finn.no/job/search?q=utvikler", ], "max_items": 60, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/finn-no-job-scraper-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 '{ "target_urls": [ "https://www.finn.no/job/search?location=0.20001&q=analytisk", "https://www.finn.no/job/search?q=utvikler" ], "max_items": 60 }' | apify call delectable_incubator/finn-no-job-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/finn-no-job-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Finn.no Job Scraper - Low-costπŸ’²πŸ”₯πŸ‡³πŸ‡΄πŸ’Ό", "description": "Scrape Finn.no job listings πŸ‡³πŸ‡΄πŸ’Ό with a powerful Norway job scraper. Extract job titles, company names, locations, posting dates, job descriptions, and direct job URLs. Ideal for recruitment intelligence, labour market analysis, hiring trend tracking, salary research, and employment datasets πŸ“ŠπŸš€", "version": "0.0", "x-build-id": "qtzL65VLUwsh40LdF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~finn-no-job-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-finn-no-job-scraper-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~finn-no-job-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-finn-no-job-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~finn-no-job-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-finn-no-job-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "target_urls" ], "properties": { "target_urls": { "title": "Finn.no Search URLs πŸ”— / SΓΈke-URLer", "type": "array", "description": "List of Finn.no job search URLs to scrape. One URL per entry. Example: https://www.finn.no/job/search?location=0.20001&q=analytisk", "items": { "type": "string" } }, "max_items": { "title": "Maximum number of jobs to scrape per URL πŸ”’ / Maksimalt antall jobber per URL", "type": "integer", "description": "Limits how many job listings will be scraped PER URL from Finn.no.", "default": 60 } } }, "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 } } } } } } } } } } ```