Finn.no Real Estate Scraper

Extract thousands of Norwegian property listings from Finn.no to power market research, investment analysis, portfolio monitoring, and automated alerts — for just $1 per 1,000 listings (detailed results & broker info at $2/1,000).

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What can Finn.no Real Estate Scraper do for you?

• 🏠 Build a complete property database — Scrape every listing matching your criteria across all Norwegian counties
• 📊 Track price trends over time — Schedule daily runs to monitor asking prices, total costs, and shared expenses
• 🔍 Filter with precision — Use Finn.no's native filters (location, price, bedrooms, energy label, property type, ownership, facilities) or paste any search URL
• 🏘️ Get broker & seller contacts — Optionally extract phone numbers and emails for direct outreach
• 📸 Download all property images — Retrieve full-resolution photos, floor plans, and map images
• 📍 Geo-enrich listings — Latitude/longitude, postal codes, cadastral references, and static map URLs included

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What data can you extract?

Field	Description
🖼️ Image	Main listing photo + all gallery images
🏷️ Title	Listing headline (e.g. "Enebolig med 3 soverom")
🔗 URL	Direct link to the Finn.no ad
📍 Location	Address, neighborhood, municipality, coordinates
💰 Asking price	Prisantydning in NOK
💰 Total price	Prisantydning + felleskostnader
💰 Shared cost/mo	Fellesutgifter per month
📐 Living area	Bruksareal (m²)
🛏️ Bedrooms	Number of bedrooms
🚪 Rooms	Total rooms
🏘️ Property type	Enebolig, Leilighet, Rekkehus, Tomt, etc.
📜 Ownership type	Selveier, Andel, Aksje, Obligasjon
🏗️ Construction year	Byggeår
⚡ Energy label	A–G energikarakter
🏢 Broker/agency	Meglerfirma navn & logo
📅 Published date	When the listing went live
🆔 Finn code	Unique ad identifier
📝 Full description	All description sections (when scrapeDetails=true)
🏠 Street address	Exact street, postal code, city
🖼️ All images	Full array of image URLs
🏷️ Facilities	Balkong, Heis, Garasje, Utsikt, EV-lading, etc.
👁️ Viewings	Scheduled showing times with iCal links
📞 Broker contacts	Name, phone, email (when includeContactInfo=true)
📐 Plot area	Tomtareal (m²)
💰 Collective debt	Fellesgjeld for housing cooperatives
🏷️ Source	"list" or "detail" extraction mode

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Why use this scraper?

• 📈 Market research — Analyze price per m² trends across municipalities
• 🏘️ Portfolio monitoring — Track new listings matching your investment criteria
• 🤖 Automated alerts — Feed scraped data into your CRM or notification system
• 📊 Valuation models — Train ML models on historical Finnish real estate data
• 🏢 Broker intelligence — Identify active agents, their inventory, and contact details
• ⚡ Save weeks of manual work — What takes hours manually runs in minutes on Apify

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Pricing

• $1/1,000 listings (Detailed Result: $2/1,000, Broker Info: $2/1,000)
• No hidden fees or limits on usage.
• Apify plan discounts apply: Bronze $0.90/1,000 · Silver $0.80/1,000 · Gold $0.70/1,000 (detailed/broker: $1.70/$1.50/$1.30)

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How to use Finn.no Real Estate Scraper

1. Create a free Apify account — Sign up (no credit card required)
2. Open the actor — Go to apify.com/rigelbytes/finn-no-scraper
3. Set your search criteria — Paste a Finn.no search URL or use the visual filters (location, price, bedrooms, property type, etc.)
4. Choose detail level — Enable "Fetch Full Listing Details" for descriptions, images, facilities; enable "Include Broker/Seller Contact" for phone/email
5. Start the run — Click Start and wait for results
6. Download your data — Export as JSON, CSV, Excel, or access via API

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Input

Field	Type	Required	Description
startUrls	Array[Object]	No	Preferred input. Finn.no search URLs with filters pre-applied
searchQuery	String	No	Free-text search (q parameter)
publishedToday	Boolean	No	Only listings published today
locations	Array[String]	No	Counties (Oslo, Nordland, Innlandet, etc.) or Finn codes
saleStatus	Array[String]	No	for_sale, sold_last_3_days, coming_for_sale
propertyCondition	String	No	Any, used, new
priceFrom / priceTo	Integer	No	Asking price range (NOK)
totalPriceFrom / totalPriceTo	Integer	No	Total price range (NOK)
sharedCostFrom / sharedCostTo	Integer	No	Shared cost/month range (NOK)
areaFrom / areaTo	Integer	No	Living area range (m²)
minBedrooms	Integer	No	Minimum bedrooms (1–5)
constructionYearFrom / constructionYearTo	Integer	No	Year built range
plotAreaFrom / plotAreaTo	Integer	No	Plot size range (m²)
propertyTypes	Array[String]	No	apartment, detached, townhouse, semi_detached, farm, garage, industrial, plot, multi_family, other
ownershipTypes	Array[String]	No	stock, share, bond, freeholder, other
sellerTypes	Array[String]	No	broker, private
facilities	Array[String]	No	balcony, fireplace, elevator, no_neighbors, modern, airconditioning, beachfront, hiking, garage, laundry, alarm, broadband, caretaker, view, ev_charging
energyLabels	Array[String]	No	A, B, C, D, E, F, G
floors	Array[String]	No	NOTFIRST, 1–6, BIG (above 6th)
videoTypes	Array[String]	No	Video, 360 viewing
scrapeDetails	Boolean	No	Fetch full details per listing (slower, richer)
includeContactInfo	Boolean	No	Extract broker/seller phone & email
maxItems	Integer	No	Max listings to scrape (0 = unlimited, default 50)
proxyConfiguration	Object	No	Apify Proxy settings (residential recommended)

📝 Copy for Use:

{
  "startUrls": [
    { "url": "https://www.finn.no/realestate/homes/search.html?location=0.20061" }
  ],
  "scrapeDetails": true,
  "includeContactInfo": true,
  "maxItems": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

---

Output

Sample Output (Overview view)

Image	Title	URL	Location	Asking price	Total price	Shared cost/mo	Area m²	Bedrooms	Rooms	Type	Ownership	Built	Energy	Organisation	Published	Finn code
🖼️	Enebolig med 3 soverom…	Link	Skøelvdalen 231, 9310 Sørreisa	1,250,000	1,282,340	0	172	3	4	Enebolig	Selveier	1958	E	EiendomsMegler 1 Finnsnes	2026-07-24	470675677

Sample Output (Details view)

Additional fields: description, streetAddress, postalCode, postalName, latitude, longitude, imageUrls[], facilities[], viewings[], contacts[], contactPhones[], sellerEmails[], floor, plotArea, collectiveDebt, source

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Why Choose This Scraper?

• Affordable: Pay only $1 per 1,000 listings scraped (detailed results & broker info at $2/1,000)
• Comprehensive: Extracts 30+ fields including images, geo-data, facilities, viewings, and contacts
• Easy to Use: Visual filter builder or paste any Finn.no search URL — no coding required
• Reliable: Runs on Apify's residential proxy network; handles pagination, rate limits, and retries automatically

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Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

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API Examples

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "startUrls": [{"url": "https://www.finn.no/realestate/homes/search.html?location=0.20061"}],
    "scrapeDetails": True,
    "includeContactInfo": True,
    "maxItems": 5,
    "proxyConfiguration": {"useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"]},
}

run = client.actor("rigelbytes/finn-no-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript (Node.js)

const { ApifyClient } = require('apify-client');

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('rigelbytes/finn-no-scraper').call({
    startUrls: [{ url: 'https://www.finn.no/realestate/homes/search.html?location=0.20061' }],
    scrapeDetails: true,
    includeContactInfo: true,
    maxItems: 5,
    proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ['RESIDENTIAL'] },
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL

curl -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <YOUR_API_TOKEN>" \
  -d '{
    "startUrls": [{"url": "https://www.finn.no/realestate/homes/search.html?location=0.20061"}],
    "scrapeDetails": true,
    "includeContactInfo": true,
    "maxItems": 5,
    "proxyConfiguration": {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}
  }' \
  "https://api.apify.com/v2/acts/rigelbytes~finn-no-scraper/runs?token=<YOUR_API_TOKEN>"

---

📸 Output Preview

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Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

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About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

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Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.

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Detailed Data

[
  {
    "id": "470675677",
    "url": "https://www.finn.no/realestate/homes/ad.html?finnkode=470675677",
    "title": "Enebolig med 3 soverom | Balkong, terrasse og garasje | Ligger landlig til i Skøelvdalen",
    "location": "Skøelvdalen 231, 9310 Sørreisa",
    "priceSuggestion": 1250000,
    "priceTotal": 1282340,
    "priceSharedCost": 0,
    "areaUsable": 172,
    "bedrooms": 3,
    "rooms": 4,
    "propertyType": "Enebolig",
    "ownershipType": "Selveier",
    "constructionYear": 1958,
    "energyLabel": "E",
    "organisationName": "EiendomsMegler 1 Finnsnes",
    "publishedAt": "2026-07-24T17:42:00+00:00",
    "imageUrl": "https://images.finncdn.no/dynamic/default/2026/7/vertical-2/24/7/470/675/677_8685aebe-5ba0-4089-aa60-1321d855748a.jpg",
    "latitude": 69.11598185054471,
    "longitude": 18.018504483094624,
    "source": "detail"
  },
  {
    "id": "470534294",
    "url": "https://www.finn.no/realestate/homes/ad.html?finnkode=470534294",
    "title": "Koselig eiendom med utsikt mot fjorden | Stor terrasse og naturskjønne omgivelser",
    "location": "Labergshaugen 17, 9350 Sjøvegan",
    "priceSuggestion": 850000,
    "priceTotal": 872340,
    "priceSharedCost": 0,
    "areaUsable": 45,
    "bedrooms": 1,
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    "propertyType": "Enebolig",
    "ownershipType": "Selveier",
    "constructionYear": 1996,
    "energyLabel": "D",
    "organisationName": "EiendomsMegler 1 Finnsnes",
    "publishedAt": "2026-07-24T17:25:19+00:00",
    "imageUrl": "https://images.finncdn.no/dynamic/default/2026/7/vertical-2/22/4/470/534/294_541649e9-1529-4254-8033-c850366a98e3.jpg",
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    "source": "detail"
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]