Boliga Denmark Real Estate Scraper

Extract property listings from Boliga.dk — Denmark's leading real estate marketplace — to power market research, price monitoring, investment analysis, and lead generation. Start with basic listing data from $1 per 1,000 listings, with optional full detail enrichment including agent contact info, BBR building data, sales history, and price analytics at $2 per 1,000 enriched listings.

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What can Boliga Denmark Real Estate Scraper do for you?

• Build a comprehensive Danish real estate database by searching zip codes, free-text queries, or direct listing URLs across thousands of properties in minutes.
• Enrich listings with deep detail data — extract agent names, phone numbers, emails, BBR building specifications, tax information, cadastral data, and full photo galleries for every property.
• Track market movements with historical sales data, price change analytics, discount averages, days-on-market stats, and price-per-square-meter comparisons.
• Generate real estate leads by collecting agent contact details and brokerage information for every listing in your target area.
• Monitor the Danish housing market with automated, scheduled extraction of new listings, price changes, and market trends across any municipality.
• Export structured data in JSON, CSV, or Excel format for integration into your research workflows, CRMs, or analytics tools.

What data can you extract?

Data	Description
🏷️ Basic Listing	Price, address, zip code, city, coordinates, property type, rooms, size, lot size, basement size, build year, energy class, days for sale, price/m²
🖼️ Images	Listing image URLs, full photo galleries
🏗️ BBR Data	Official building registry data — construction year, building area, unit details, property tax (yearly/monthly), land tax
📊 Price Analytics	Sales history, previous listings, price changes (percent and cash), discount averages, price/m² comparisons vs. municipality
👤 Agent Contact	Agent name, phone, email, homepage, address, brokerage URL
📈 Market Insights	Municipality-level statistics, popularity metrics, days-for-sale trends, cadastral details
🔍 Source Tracking	Original search query and listing ID preserved on every record

Why use this scraper?

• 🏠 Market Research: Analyze the Danish real estate market by collecting listing data, price trends, and property specifications across any municipality.
• 📊 Investment Analysis: Build a data-driven investment strategy with historical sales data, price change analytics, and square-meter price comparisons.
• 📬 Lead Generation: Extract agent contact details — names, phone numbers, emails — for every listing to fuel real estate prospecting and outreach campaigns.
• 🤖 Automated Monitoring: Schedule recurring scrapes via Apify's scheduling to track price drops, new listings, or changes in days-on-market for your target areas.
• 🔌 API & Integrations: Query data programmatically via the Apify API, or connect to Make, Zapier, Google Sheets, and other integrations for automated workflows.

Pricing

• Listing: $1 / 1,000 (no discount) | Bronze $0.90 | Silver $0.80 | Gold $0.70
• Listing Details: $2 / 1,000 (no discount) | Bronze $1.70 | Silver $1.50 | Gold $1.30
• No hidden fees or limits on usage.

How it works: You pay only for the data you extract. A "listing" event fires for each property scraped from search results. A "listing-details" event fires only when you enable extractDetails to fetch full enrichment data (agent info, BBR, sales history, photos). Apify plan discounts apply automatically.

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How to use Boliga Denmark Real Estate Scraper

1. Create a free Apify account at Apify.com if you don't have one.
2. Open the actor at apify.com/rigelbytes/boliga-dk-scraper and click "Start for free".
3. Enter your search — paste Boliga search URLs, type Danish zip codes, or enter location queries like "København" or "9500".
4. Set your filters — narrow by property type, price range, rooms, size, build year, and more.
5. Enable detail extraction (optional) — toggle extractDetails to enrich every listing with agent contacts, BBR data, sales history, and price analytics.
6. Click "Start" — the actor will begin scraping. Results stream to your dataset as they're collected.
7. Download your data in JSON, CSV, Excel, or XML format, or access it via the Apify API.

Input

Field	Type	Required	Description
startUrls	array	No	Paste Boliga search result URLs or individual listing URLs
searchQueries	array	No	Danish zip codes (e.g. 9500) or free-text location queries (e.g. "København")
propertyTypes	array	No	Filter by property type: Villa, Rækkehus, Ejerlejlighed, Fritidshus, Andelsbolig, Landejendom, Helårsgrund, Fritidsgrund
priceMin	integer	No	Minimum asking price in DKK
priceMax	integer	No	Maximum asking price in DKK
roomsMin	integer	No	Minimum number of rooms
roomsMax	integer	No	Maximum number of rooms
sizeMin	integer	No	Minimum living area in m²
sizeMax	integer	No	Maximum living area in m²
lotSizeMin	integer	No	Minimum lot size in m²
lotSizeMax	integer	No	Maximum lot size in m²
buildYearMin	integer	No	Minimum construction year
buildYearMax	integer	No	Maximum construction year
daysForSaleMin	integer	No	Minimum days on market
daysForSaleMax	integer	No	Maximum days on market
energyClassMin	string	No	Minimum energy label (e.g. A, B)
energyClassMax	string	No	Maximum energy label (e.g. C, D)
zipCodes	string	No	Comma-separated Danish zip codes applied to all queries (e.g. "2100,2200,9500")
municipality	integer	No	Danish municipality code (kommunekode, e.g. 846)
sort	string	No	Sort order — days for sale, price, views, price/m², rooms, size, build year (default: "daysForSale-a")
hideBrokerListings	boolean	No	Exclude standard broker listings (default: false)
hideSelfSale	boolean	No	Exclude private/self-sale listings (default: false)
hideForeclosure	boolean	No	Exclude foreclosure listings (default: false)
extractDetails	boolean	No	Fetch full listing details — agent contact, BBR data, sales history, price analytics, photo gallery (default: false)
detailConcurrency	integer	No	Max parallel detail requests when extractDetails is on (default: 10, range: 1–50)
maxItems	integer	No	Maximum listings to scrape — 0 = unlimited (default: 20)
proxyConfiguration	object	No	Proxy settings — residential proxy recommended for Cloud runs

📝 Copy for Use:

{
    "searchQueries": ["9500"],
    "propertyTypes": ["villa", "ejerlejlighed"],
    "priceMin": 100000,
    "priceMax": 3000000,
    "sort": "daysForSale-a",
    "extractDetails": true,
    "detailConcurrency": 5,
    "maxItems": 5,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Output

Why Choose This Scraper?

• Affordable: Basic listing data starting at $1 per 1,000 listings, with optional full detail enrichment at just $2 per 1,000 enriched listings. Pay only for what you use — no hidden fees.
• Comprehensive: Covers all listing types on Boliga — 8 property categories, 10 sort orders, full filter support including price, rooms, size, lot size, build year, days for sale, and energy class.
• Easy to Use: Start from search URLs, zip codes, or free-text queries. All configuration is done through the Apify Console UI — no coding required.
• Reliable: Built with API-level data access, proxy rotation, automatic retries, and concurrent detail enrichment for maximum throughput while respecting rate limits.

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• Exclusive Deals: Some providers may offer special discounts or bonuses when you use our link.
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• 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
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("rigelbytes/boliga-dk-scraper").call(run_input={
    "searchQueries": ["9500"],
    "propertyTypes": ["villa", "ejerlejlighed"],
    "priceMin": 100000,
    "priceMax": 3000000,
    "sort": "daysForSale-a",
    "extractDetails": True,
    "detailConcurrency": 5,
    "maxItems": 5,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
})

# JavaScript
import { ApifyClient } from 'apify-client';

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

const run = await client.actor('rigelbytes/boliga-dk-scraper').call({
    searchQueries: ['9500'],
    propertyTypes: ['villa', 'ejerlejlighed'],
    priceMin: 100000,
    priceMax: 3000000,
    sort: 'daysForSale-a',
    extractDetails: true,
    detailConcurrency: 5,
    maxItems: 5,
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ['RESIDENTIAL']
    }
});

# cURL
curl -X POST "https://api.apify.com/v2/acts/rigelbytes/boliga-dk-scraper/runs" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["9500"],
    "propertyTypes": ["villa", "ejerlejlighed"],
    "priceMin": 100000,
    "priceMax": 3000000,
    "sort": "daysForSale-a",
    "extractDetails": true,
    "detailConcurrency": 5,
    "maxItems": 5,
    "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