Nybolig Denmark Real Estate Scraper

Extract thousands of Danish property listings from Nybolig.dk — prices, addresses, agent contacts, photo galleries, and full listing details — starting at $1.00 per 1,000 listings.

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What can Nybolig Denmark Real Estate Scraper do for you?

• Scrape listings by zip code or free text — Search any Danish location (zip code or city name) and collect all matching properties.
• Filter by property type, price, rooms, size, energy class, and more — Narrow results to villas, condos, rental apartments, vacation homes, farms, and plots.
• Extract full listing details on demand — Enable extractDetails to pull description, full photo galleries, financials (down payment, owner expenses), and broker contact info.
• Search by direct URLs — Paste Nybolig search results or individual listing URLs for targeted extraction.
• Support both sales and rentals — Toggle between homes for sale and rental listings with separate rent/price filters.
• Residential proxy support — Built-in Apify proxy integration (RESIDENTIAL group) for reliable, block-free runs.

What data can you extract?

Field	Description
🏠 Address	Street, city, zip code, full display address
💰 Price / Rent	Asking price (DKK) or monthly rent
🛏️ Rooms	Number of rooms and room label
📐 Living Area	Square meters of living space
🌳 Plot Size	Plot/lot size in m²
⚡ Energy Class	Energy label (A2020 through G)
🏗️ Property Type	Villa, Condo, Terraced House, etc.
📅 Build Year	Year of construction
📸 Images	Photo gallery URLs (with details enabled)
📝 Description	Full Danish listing text (with details enabled)
👤 Agent	Name, phone, email, title, office
🏢 Office	Brokerage name and URL
🌐 Location	Latitude, longitude coordinates
🔢 Financials	Down payment, owner expenses (with details enabled)
📌 Status	Active, sold, new, sale in progress

Why use this scraper?

• 🔬 Danish property market research — Analyze pricing trends, inventory, and market dynamics across Denmark.
• 📊 Portfolio monitoring — Track properties in specific zip codes or cities for investment opportunities.
• 🤝 Agent & broker intelligence — Extract agent names, emails, and phone numbers for outreach and partnerships.
• ⚙️ Automated data pipeline — Feed structured property data into dashboards, spreadsheets, or analytics tools via Apify API.
• 🏷️ Rental market analysis — Monitor rental pricing and availability with dedicated rent filters.

Pricing

Event	Price
Listing (per 1,000 dataset items)	$1.00
Bronze discount	$0.90 / 1,000
Silver discount	$0.80 / 1,000
Gold discount	$0.70 / 1,000
Listing Details (per 1,000 detail extractions)	$2.00
Bronze discount	$1.80 / 1,000
Silver discount	$1.70 / 1,000
Gold discount	$1.60 / 1,000

No hidden fees or limits on usage. Volume discounts apply automatically on Apify paid plans.

---

How to use Nybolig Scraper

1. Create an Apify account at console.apify.com (free tier available).
2. Open the Nybolig Denmark Real Estate Scraper in Apify Console.
3. Configure your input — add zip codes (e.g. 8700, 2000), search queries, or paste Nybolig result URLs. Optionally set filters like property type, price range, or rooms.
4. Enable detail extraction (optional) — toggle extractDetails to get full descriptions, photo galleries, and broker contacts.
5. Click Start — the scraper will begin collecting listings.
6. Download your data — export results as JSON, CSV, Excel, or HTML from the dataset.

Input

Property	Type	Required	Description
startUrls	array	Optional	Nybolig search result or listing URLs. Query params used as filters.
searchQueries	array	Optional	Danish zip codes (e.g. 8700) or free-text location queries.
isRental	boolean	Optional	Search rentals instead of homes for sale. Default: false.
propertyTypes	array	Optional	Property types to include (Villa, Condo, TerracedHouse, etc.).
minPrice / maxPrice	integer	Optional	Price range in DKK (sale).
minRent / maxRent	integer	Optional	Rent range in DKK/month (rental).
minRooms / maxRooms	integer	Optional	Room count range.
minSize / maxSize	integer	Optional	Living area range in m².
minPlotSize / maxPlotSize	integer	Optional	Plot size range in m².
minBuiltYear / maxBuiltYear	integer	Optional	Construction year range.
minDaysForSale / maxDaysForSale	integer	Optional	Days on market range.
energyClassMin / energyClassMax	string	Optional	Energy label filter (A2020 through G).
hasBalcony / hasElevator	boolean	Optional	Feature filters (balcony, elevator).
petsAllowed / hasCharger	boolean	Optional	Pets allowed, EV charger filters.
includeSold / includeSaleInProgress	boolean	Optional	Include sold listings or sale-in-progress.
saleProjects / rentalProjects	boolean	Optional	New-build sale or rental projects only.
extractDetails	boolean	Optional	Fetch full listing details (description, gallery, broker). Default: false.
detailConcurrency	integer	Optional	Parallel detail requests. Default: 5, max 20.
maxItems	integer	Optional	Max listings to scrape. 0 = unlimited.
proxyConfiguration	object	Optional	Proxy settings. Recommends Apify RESIDENTIAL.

📝 Copy for Use:

{
  "searchQueries": ["8700", "2000"],
  "propertyTypes": ["Villa", "Condo"],
  "extractDetails": true,
  "detailConcurrency": 5,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output

https://github.com/faizanalii/apify-images/blob/main/Nybolig%20Denmark%20Real%20Estate%20Scraper.gif?raw=true

Why Choose This Scraper?

• 💰 Affordable: Pay only $1.00 per 1,000 listings scraped, with volume discounts down to $0.70 / 1,000 on paid plans.
• 📋 Comprehensive: 20+ filter options, detail extraction with full descriptions, photo galleries, and broker contacts.
• ⚡ Easy to Use: Paste zip codes or URLs — no configuration needed beyond your search criteria.
• 🔒 Reliable: Uses residential proxies and Nybolig's own API endpoints for stable, accurate extraction.

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🙌 Why Buy Through Our Affiliate Link?

• Exclusive Deals: Some providers may offer special discounts or bonuses when you use our link.
• Support Our Work: Each purchase helps us maintain and improve the tools and services we provide.
• No Extra Cost: You pay the same price, but part of it goes to supporting our efforts.

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.

Python

import requests

run_input = {
    "searchQueries": ["8700", "2000"],
    "propertyTypes": ["Villa", "Condo"],
    "extractDetails": True,
    "detailConcurrency": 5,
    "maxItems": 50,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

response = requests.post(
    "https://api.apify.com/v2/acts/rigelbytes/nybolig-dk-scraper/runs",
    headers={"Authorization": f"Bearer {input('Apify token: ')}"},
    json=run_input
)

run_id = response.json()["data"]["id"]
print(f"Run started: {run_id}")

JavaScript (Apify SDK)

import { Actor } from 'apify';

const input = {
    searchQueries: ["8700", "2000"],
    propertyTypes: ["Villa", "Condo"],
    extractDetails: true,
    detailConcurrency: 5,
    maxItems: 50,
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ["RESIDENTIAL"]
    }
};

const run = await Actor.call("rigelbytes/nybolig-dk-scraper", input);
const { items } = await Actor.openDataset(run.output.datasetId);
console.log(items);

cURL

curl -X POST "https://api.apify.com/v2/acts/rigelbytes/nybolig-dk-scraper/runs" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["8700", "2000"],
    "propertyTypes": ["Villa", "Condo"],
    "extractDetails": true,
    "detailConcurrency": 5,
    "maxItems": 50,
    "proxyConfiguration": {
      "useApifyProxy": true,
      "apifyProxyGroups": ["RESIDENTIAL"]
    }
  }'

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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.

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.

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.

Detailed Data

[
  {
    "id": "SUNhc2U6NzY3NTc3",
    "caseNumber": "N2500340001040",
    "url": "https://www.nybolig.dk/villa/8700/skovbrynet/n250034/n2500340001040",
    "addressDisplayName": "Skovbrynet 77, 8700 Horsens",
    "street": "Skovbrynet 77",
    "city": "Horsens",
    "zipCode": "8700",
    "price": 2895000,
    "rent": "0",
    "rooms": 4,
    "livingSpace": 125,
    "plotSize": 584,
    "energyClassification": "B",
    "propertyType": "Villa",
    "builtYear": 2006,
    "imageUrl": "https://nybolig.mindworking.eu/api/mediaData/...",
    "latitude": 55.8284277148031,
    "longitude": 9.86875317140813,
    "agentName": "Lasse Krag Sørensen",
    "agentPhone": "7628 2600",
    "agentEmail": "lkq@nybolig.dk",
    "officeName": "Nybolig Horsens - Bjerrevej",
    "detailsFetched": true,
    "sourceQuery": "8700|Villa,Condo",
    "datePosted": "2026-07-24",
    "downPayment": 145000,
    "ownerExpenses": 1880,
    "description": "Velkommen til Skovbrynet 77, som er beliggende i det eftertragtede Højvangskvarter..."
  },
  {
    "id": "SUNhc2U6NzgxMjM3",
    "caseNumber": "N2500340001151",
    "url": "https://www.nybolig.dk/villa/8700/skovglimt/n250034/n2500340001151",
    "addressDisplayName": "Skovglimt 21, 8700 Horsens",
    "street": "Skovglimt 21",
    "city": "Horsens",
    "zipCode": "8700",
    "price": 2995000,
    "rent": "0",
    "rooms": 6,
    "livingSpace": 250,
    "plotSize": 1151,
    "energyClassification": "C",
    "propertyType": "Villa",
    "builtYear": 1970,
    "imageUrl": "https://nybolig.mindworking.eu/api/mediaData/...",
    "latitude": 55.8711539536633,
    "longitude": 9.90208737625627,
    "agentName": "Lasse Krag Sørensen",
    "agentPhone": "7628 2600",
    "agentEmail": "lkq@nybolig.dk",
    "officeName": "Nybolig Horsens - Bjerrevej",
    "detailsFetched": true,
    "sourceQuery": "8700|Villa,Condo",
    "datePosted": "2026-07-23",
    "downPayment": 150000,
    "ownerExpenses": 2903
  },
  {
    "id": "SUNhc2U6NzgyMzk2",
    "caseNumber": "N1002500001127",
    "url": "https://www.nybolig.dk/villa/8700/roennevej/n100250/n1002500001127",
    "addressDisplayName": "Rønnevej 19, 8700 Horsens",
    "street": "Rønnevej 19",
    "city": "Horsens",
    "zipCode": "8700",
    "price": 3995000,
    "rent": "0",
    "rooms": 9,
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    "energyClassification": "D",
    "propertyType": "Villa",
    "builtYear": 1970,
    "imageUrl": "https://nybolig.mindworking.eu/api/mediaData/...",
    "latitude": 55.8737118078196,
    "longitude": 9.87704017196131,
    "agentName": "Mikkel Kyed Thomsen",
    "agentPhone": "7628 2600",
    "agentEmail": "kyt@nybolig.dk",
    "officeName": "Nybolig Horsens - Vitus Berings Plads",
    "detailsFetched": true,
    "sourceQuery": "8700|Villa,Condo",
    "datePosted": "2026-07-22",
    "downPayment": 200000,
    "ownerExpenses": 3051
  }
]