🇳🇴 FINN.no Norway Scraper | Real Estate Listings

What does FINN.no Norway Property Scraper do?

FINN.no Norway Property Scraper is an Apify Actor that extracts residential property listings for sale and rent from FINN.no Eiendom (finn.no)—Norway's undisputed monopoly property marketplace. It captures primary asking prices in Norwegian Krone (price), inclusive total price calculations (total_price), currency (currency), property classifications (property_type), usable interior floor area (area, area_sqm), postal addresses (address, location), estate broker agencies (broker), high-resolution listing photos (image), and direct property links (url).

Whether you are monitoring residential housing prices across Oslo, Bergen, Trondheim, Stavanger, Kristiansand, Tromsø, or Drammen, benchmarking Norwegian property valuations, tracking estate agency broker listings, or analyzing Nordic real estate yields, this Actor provides structured, live data in seconds with zero manual proxy setup.

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🛡️ Zero Proxy Configuration Required: Norway residential IP routing and anti-bot mitigation are handled automatically on the backend — just paste your FINN.no Eiendom search URLs and click Start.

What data can you extract with FINN.no Norway Property Scraper?

💶 Asking & Total Price — primary asking price price (e.g., 7 490 000 kr), all-inclusive price with shared debt and fees in total_price, currency (NOK), and unique listing id
🏠 Property Classification — ownership structure and category in property_type (e.g., Selveier ∙ Rekkehus ∙ 3 soverom), listing_id, and property_id
📐 Living Area & Surface — interior usable floor area in area and area_sqm (m²)
📍 Address & Location — municipality and street in address, full location, country (NO), and portal identifier
🏢 Real Estate Brokerage — managing estate agency firm in broker
🖼️ Photos & Direct Links — listing photo link in image, headline title, and direct canonical listing url on finn.no

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Why scrape real estate listings from FINN.no Eiendom?

💪 Norway's National Real Estate Monopoly — FINN.no hosts over 98% of all commercial and residential property transactions across Norway
🕵️ Complete Financial Transparency — extract both the base asking price and the total price (including fellesgjeld and felleskostnader) for institutional-grade financial modeling
✨ Standardized Nordic Real Estate Dataset — combine FINN.no records directly with Boligsiden Denmark and other European property datasets
👍 Seamless Search Filter Compatibility — apply FINN.no filters for Bolig til salgs, Bolig til leie, Fritidsbolig, or Tomter, and paste the URL directly
📩 Real-Time Dataset Streaming — listings stream directly into your Apify dataset as they are fetched, ready for live export to Google Sheets, BigQuery, Airtable, Make, or n8n

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How do I use FINN.no Norway Property Scraper?

FINN.no Norway Property Scraper is built for immediate, zero-configuration operation in Apify Console:

1. Click Try for free on the Actor page to open Apify Console.
2. Search on finn.no/realestate, apply any filters (bolig til salgs, område, pris, boligtype), and copy the search result URL from your browser.
3. Paste one or more search URLs into Start URLs (startUrls) (for example: https://www.finn.no/realestate/homes/search.html).
4. Set Max Results (maxItems) to specify the maximum number of listings to collect.
5. Click Start and watch structured property records stream into the dataset log in real time.
6. Download your dataset from the Output or Dataset tab in JSON, CSV, Excel (.xlsx), or HTML table format.

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Input

FINN.no Norway Property Scraper accepts a clean 2-parameter JSON configuration. Click on the Input tab for the interactive form.

{
  "startUrls": [
    {
      "url": "https://www.finn.no/realestate/homes/search.html"
    }
  ],
  "maxItems": 40
}

🌐 Start URLs (startUrls) — one or more finn.no search result URLs or property listing URLs
🔢 Max Results (maxItems) — maximum number of property listings to collect per run (default: 40; free accounts can collect up to 40 items per run, while paid Apify plans support unlimited bulk runs)

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Output sample

Results stream in real time into your default Apify Dataset. Below is an excerpt of a real record extracted from finn.no:

[
  {
    "id": "479306602",
    "listing_id": "479306602",
    "property_id": "479306602",
    "title": "LUND | Nyere enderekkehus sentralt på Lund! | Praktikantdel | Takterrasse",
    "price": "7 490 000 kr",
    "total_price": "Totalpris: 7 524 055 kr ∙ Fellesutg.: 1 438 kr",
    "currency": "NOK",
    "property_type": "Selveier ∙ Rekkehus ∙ 3 soverom",
    "area": "164 m²",
    "area_sqm": "164 m²",
    "address": "Kongsgård haveby 11, Kristiansand S",
    "location": "Kongsgård haveby 11, Kristiansand S",
    "broker": "Aktiv Kristiansand",
    "image": "https://images.finncdn.no/dynamic/480w/2026/10/vertical-2/26/2/479/306/602_main.png",
    "portal": "finn.no",
    "country": "NO",
    "url": "https://www.finn.no/realestate/homes/ad.html?finnkode=479306602"
  }
]

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How much does it cost to scrape FINN.no Norway?

This Actor uses transparent Pay-Per-Event (Pay-Per-Result) pricing with a $0.00 Actor run start fee:

🆓 Free Plan — $5.00 / 1,000 listings ($0.00500 per result, up to 40 results per run)
🥉 Starter (Bronze) Plan — $1.35 / 1,000 listings ($0.00135 per result, unlimited results)
🥈 Scale (Silver) Plan — $0.95 / 1,000 listings ($0.00095 per result, unlimited results)
🥇 Business+ (Gold) Plan — $0.75 / 1,000 listings ($0.00075 per result, unlimited results)

With the monthly free credit included on Apify Free plans, you can extract up to 1,000 FINN.no property listings every month at zero cost.

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💡 Predictable, All-Inclusive Pay-Per-Event Pricing: There is a $0.00 run start fee and no separate proxy configuration required. You only pay the flat per-result rate above for data successfully delivered to your dataset — works out of the box on both Free and Paid Apify plans.

How many listings can you scrape with FINN.no Norway Property Scraper?

FINN.no Norway Property Scraper supports municipal, county (Fylke), and national harvesting across Norway:

• Partition Large Urban Municipalities: For major metropolitan markets like Oslo, Bergen, or Trondheim, supply district-level or fylke search URLs in startUrls.
• Target Specific Property Types: Use FINN.no's filter system to select Leilighet, Enebolig, Rekkehus, Tomannsbolig, or Tomt, and paste the filtered URL into startUrls.
• Exact Volume Limits: Use maxItems to cap each run to the exact volume needed for your valuation pipeline or automated alert trigger.

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Want to scrape other European & Global Real Estate Portals?

Combine this Actor with our other published European and global property scrapers:

🇩🇰 Boligsiden Denmark Scraper — scrape Danish property listings, DKK prices, and m² across Copenhagen and Aarhus (From $0.75 / 1K)
🇬🇧 Rightmove UK Property Scraper — scrape UK property listings, GBP asking prices, and floor plans across London and Manchester (From $0.75 / 1K)
🇮🇪 Daft.ie Ireland Property Scraper — scrape Irish property listings, EUR asking prices, and bedrooms across Dublin, Cork, and Galway (From $0.75 / 1K)
🇪🇸 Idealista Property Scraper — extract Spanish residential and commercial property listings, EUR prices, m², and rooms (From $0.75 / 1K)
🇫🇷 PAP.fr France FSBO Property Scraper — scrape direct private-owner (Particulier à Particulier) property sales and rentals across France (From $0.75 / 1K)

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Integrations and FINN.no Norway Property Scraper

FINN.no Norway Property Scraper connects with any cloud data pipeline or BI tool through Apify integrations:

• No-Code Automation: Trigger runs and route listings via Make, Zapier, n8n, Clay, or Pipedream.
• Spreadsheets & Warehouses: Sync property inventory directly into Google Sheets, Airtable, BigQuery, Snowflake, or PostgreSQL.
• Instant Webhooks: Configure webhooks to alert your team when new listings match your criteria.

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Using FINN.no Norway Property Scraper with the Apify API

The Apify API gives you programmatic access to launch runs, monitor execution status, and stream dataset items in JSON, CSV, or Excel format.

• Node.js: Install the apify-client NPM package to call misterkhan/finn-no-property-scraper.
• Python: Install the apify-client PyPI package to pull datasets directly into pandas or analytics pipelines.
• AI Agents & MCP: Connect this Actor to Claude, Cursor, or custom AI agents via the Apify MCP Server (https://mcp.apify.com).

Check out the Apify API reference docs or click on the API tab for ready-to-run code snippets.

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Frequently asked questions about FINN.no Norway Property Scraper

🛡️ Do I need to configure proxies?
No — everything works out of the box with zero setup. Regional routing, session management, and anti-blocking are handled automatically on the backend so you do not need to configure custom proxy settings.

🏙️ Can I scrape both sales (bolig til salgs) and rentals (bolig til leie) on finn.no?
Yes. Simply paste any search result URL from finn.no/realestate into startUrls.

🇳🇴 Which regions in Norway are supported?
All 15 Norwegian counties (Fylker) and 356 municipalities, including Oslo, Vestland, Trøndelag, Rogaland, and Agder, are fully supported.

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Is it legal to scrape FINN.no data?

Our scrapers extract publicly available real estate listing metadata displayed on finn.no. They do not bypass authenticated account portals or harvest private personal data. Always ensure your use of extracted data complies with local and international regulations and copyright frameworks. Read Apify's guide on the legality of web scraping to learn more.

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Your feedback

We keep this Actor under active maintenance. If a run finishes successfully but returns fewer results than you expected, hangs, or errors — please open an Issue before posting a public review so we can diagnose and fix it for you.

🛠️ How to report — Use the Actor’s Issues tab in Apify Console. Include the run ID, your input JSON, and what you expected vs. what you got.
⏱️ Response time — We aim to reply within 24 hours on business days.
⭐ Reviews — Happy with the results? A short positive review helps other users find a reliable scraper. Ran into a problem? Open an Issue first — we’ll work with you to resolve it before you leave a rating.