# Boligsiden.dk Scraper (`rigelbytes/boligsiden-dk-scraper`) Actor

Scrape Danish real estate listings from Boligsiden.dk — for sale, sold, and rental properties with pricing, details, and history.

- **URL**: https://apify.com/rigelbytes/boligsiden-dk-scraper.md
- **Developed by:** [Rigel Bytes](https://apify.com/rigelbytes) (community)
- **Categories:** Real estate, News, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Boligsiden.dk Scraper

Extract thousands of Danish real estate listings from Boligsiden.dk — for sale, sold, and rental properties with pricing, property details, location data, and price history — for just **$1** per 1,000 listings.

***

### What can Boligsiden.dk Scraper do for you?

- **Scrape properties for sale, sold, and rentals** — Search all three sections of Boligsiden.dk (tilsalg, solgte, leje) with full filtering by property type, price, size, rooms, year built, energy label, and more.
- **Enrich listings with stats and price history** — Optionally fetch detailed listing descriptions, images, municipality demographics, realtor ratings, page views, favourites, and the full price timeline for each property.
- **Export structured data in any format** — Get clean JSON output that you can download as JSON, CSV, Excel, or HTML for analysis, reporting, or integration.
- **Filter by 12 property types** — From villas and condos to holiday houses, farms, houseboats, and cooperative housing.
- **Target by location, price, and features** — Filter by municipality, province, zip code, price range, living area, lot area, rooms, year built, days on market, open house, balcony, terrace, and elevator.
- **Run at scale with residential proxies** — Supports Apify residential proxies for reliable, uninterrupted scraping.

***

### What data can you extract?

| Field | Description |
|-------|-------------|
| 🏠 **Property Info** | Type, price, monthly expense, living area, lot area, rooms, per-area price, energy label, year built |
| 📍 **Location** | Street address, zip code, city, municipality, province, coordinates |
| 🏢 **Realtor** | Agency name, branch, logo, ratings, sales percentages |
| 🖼️ **Media** | Property images, floor plans |
| 📈 **Enriched Data** | Full description, buildings, amenities (balcony, terrace, elevator), bathrooms, toilets, floors |
| 📊 **Stats** | Page views, clicks, favourites |
| 💰 **Price Timeline** | Full price history with dates and event types |
| 🏛️ **Municipality** | Population, schools, council tax, church tax, land value tax |

***

### Why use this scraper?

- **📊 Danish property market research** — Analyze pricing trends, time on market, and price reductions across municipalities and property types for market intelligence.
- **🏘️ Find investment opportunities** — Identify undervalued properties, track price drops, and monitor days on market to spot motivated sellers.
- **📈 Competitive analysis for realtors** — Monitor competitor listings, pricing strategies, and sales success rates across regions.
- **🤖 Automate property lead generation** — Build custom property alerts, notify clients of new listings matching their criteria, and power automated outreach.
- **📋 Create custom property databases** — Build your own portal or analysis tool with structured Boligsiden.dk data, including full price history and valuation data.

***

### Pricing

- **$1/1,000 listings**
- No hidden fees or limits on usage.
- Optional enrichment data included when enabled — pay only for what you scrape.

***

### How to use Boligsiden.dk Scraper

1. **Create a free Apify account** at [apify.com](https://apify.com) if you don't have one.
2. **Open the [Boligsiden.dk Scraper](https://apify.com/rigelbytes/boligsiden-dk-scraper)** in Apify Console.
3. **Configure your search** — choose search type (for sale, sold, or rentals), select property types, and apply filters like price range, area, rooms, or location.
4. **Enable enrichment** (optional) — toggle `enrichDetails` on to get full descriptions, images, stats, and price timeline.
5. **Start the scraper** — click "Run" and wait for your data.
6. **Download your dataset** — export results as JSON, CSV, Excel, or HTML.

***

### Input

#### Search Scope

- `searchType` (string, optional, default: `"tilsalg"`) — Section to scrape: `"tilsalg"` (For Sale), `"solgte"` (Sold), or `"leje"` (Rentals)
- `searchQuery` (string, optional) — Location search text — city, municipality (e.g. København, Aarhus), neighborhood (e.g. Nørrebro), zip code (e.g. 2100), or street name (e.g. Strandvejen). Leave empty to search all of Denmark.
- `addressTypes` (array, optional) — Property types to include (leave empty for all). Options: `villa`, `condo`, `terraced_house`, `holiday_house`, `cooperative`, `farm`, `hobby_farm`, `full_year_plot`, `villa_apartment`, `holiday_plot`, `houseboat`, `room`
- `sortBy` (string, optional) — Sort field: `timeOnMarket`, `price`, `createdAt`, `soldDate`, `area`, `distance`, `random`
- `sortAscending` (boolean, optional, default: `false`) — Sort ascending (low to high)

#### Price & Size

- `minPrice` / `maxPrice` (integer, optional) — Price range in DKK
- `minArea` / `maxArea` (integer, optional) — Living area range in m²
- `minLotArea` / `maxLotArea` (integer, optional) — Lot area range in m²

#### Property Details

- `minRooms` / `maxRooms` (integer, optional) — Room count range
- `minYearBuilt` / `maxYearBuilt` (integer, optional) — Construction year range
- `maxDaysOnMarket` (integer, optional) — Maximum days on market
- `maxDaysSincePriceDrop` (integer, optional) — Maximum days since last price reduction
- `hasOpenHouse` (boolean, optional, default: `false`) — Only properties with open house
- `hasBalcony` (boolean, optional, default: `false`) — Only with balcony
- `hasTerrace` (boolean, optional, default: `false`) — Only with terrace
- `hasElevator` (boolean, optional, default: `false`) — Only with elevator
- `registrationTypes` (array, optional) — Sold property registration type filters: `normal`, `family`, `auction`, `sole_owner`, `company`, `sold`, `new_construction`

#### Advanced Settings

- `maxItems` (integer, optional, default: `0`) — Maximum listings to scrape (0 = unlimited)
- `maxPages` (integer, optional, default: `0`) — Maximum search result pages to scrape (0 = unlimited)
- `enrichDetails` (boolean, optional, default: `false`) — Fetch full details, images, stats, and price timeline
- `proxyConfiguration` (proxy object, optional, default: Apify RESIDENTIAL) — Proxy settings

#### 📝 Copy for Use:

```json
{
    "searchType": "tilsalg",
    "searchQuery": "København",
    "addressTypes": ["villa", "condo", "terraced_house"],
    "sortBy": "timeOnMarket",
    "sortAscending": false,
    "minPrice": 500000,
    "maxPrice": 10000000,
    "minArea": 50,
    "maxArea": 300,
    "minRooms": 2,
    "maxRooms": 6,
    "minYearBuilt": 1960,
    "maxYearBuilt": 2025,
    "maxDaysOnMarket": 365,
    "maxItems": 100,
    "maxPages": 0,
    "enrichDetails": true,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}
```

***

### Why Choose This Scraper?

- **Affordable**: Pay only $1 per 1,000 listings scraped.
- **Comprehensive**: Full coverage of for-sale, sold, and rental listings with 20+ filter parameters and optional enrichment with images, stats, and price history.
- **Easy to Use**: Simple input configuration with clear defaults — run in minutes with no coding required.
- **Reliable**: API-based architecture with Chrome TLS impersonation and built-in retries ensures stable data extraction at scale.

***

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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.

***

### API

#### Python

```shell
from apify_client import ApifyClient

client = ApifyClient("YOUR-APIFY-TOKEN")

run_input = {
    "searchType": "tilsalg",
    "searchQuery": "København",
    "addressTypes": ["villa", "condo", "terraced_house"],
    "sortBy": "timeOnMarket",
    "sortAscending": False,
    "minPrice": 500000,
    "maxPrice": 10000000,
    "minArea": 50,
    "maxArea": 300,
    "minRooms": 2,
    "maxRooms": 6,
    "maxItems": 100,
    "maxPages": 0,
    "enrichDetails": True,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

run = client.actor("rigelbytes/boligsiden-dk-scraper").call(run_input=run_input)
dataset = client.dataset(run["defaultDatasetId"]).list_items().items
```

#### JavaScript

```shell
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR-APIFY-TOKEN' });

const runInput = {
    searchType: "tilsalg",
    searchQuery: "København",
    addressTypes: ["villa", "condo", "terraced_house"],
    sortBy: "timeOnMarket",
    sortAscending: false,
    minPrice: 500000,
    maxPrice: 10000000,
    minArea: 50,
    maxArea: 300,
    minRooms: 2,
    maxRooms: 6,
    maxItems: 100,
    maxPages: 0,
    enrichDetails: true,
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ["RESIDENTIAL"]
    }
};

const run = await client.actor("rigelbytes/boligsiden-dk-scraper").call(runInput);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

#### cURL

```shell
curl -X POST "https://api.apify.com/v2/acts/rigelbytes/boligsiden-dk-scraper/runs?token=YOUR-APIFY-TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchType": "tilsalg",
    "searchQuery": "København",
    "addressTypes": ["villa", "condo", "terraced_house"],
    "sortBy": "timeOnMarket",
    "sortAscending": false,
    "minPrice": 500000,
    "maxPrice": 10000000,
    "minArea": 50,
    "maxArea": 300,
    "minRooms": 2,
    "maxRooms": 6,
    "maxItems": 100,
    "maxPages": 0,
    "enrichDetails": true,
    "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](https://cal.com/faizanali/appointments) with us to learn more about how we can help you achieve your data goals.

***

### Detailed Data

```json
[
  {
    "caseID": "f8df46de-9098-444b-8a67-4e8f49f1b9c6",
    "addressType": "villa",
    "priceCash": 595000,
    "monthlyExpense": 1028,
    "housingArea": 179,
    "lotArea": 843,
    "numberOfRooms": 6,
    "perAreaPrice": 3115,
    "energyLabel": "e",
    "yearBuilt": 1972,
    "roadName": "Søndervænget",
    "houseNumber": "46",
    "zipCode": 7790,
    "cityName": "Thyholm",
    "municipality": "Struer",
    "province": "Vestjylland",
    "realtorName": "Nybolig",
    "daysListed": 4719,
    "descriptionTitle": "Her er den rummelige villa til børnefamilien!",
    "status": "open",
    "hasBalcony": false,
    "hasTerrace": false,
    "hasElevator": false,
    "stats": {
      "pageViews": 5290,
      "totalClickCount": 2877,
      "totalFavourites": 68
    },
    "priceTimeline": [
      { "date": "2013-07-19T00:00:00Z", "price": 595000, "eventType": "open" }
    ]
  },
  {
    "caseID": "add1986b-329f-488b-9e81-89ed36f14cd5",
    "addressType": "villa",
    "priceCash": 1295000,
    "priceChangePercentage": -23.6,
    "monthlyExpense": 2665,
    "housingArea": 228,
    "lotArea": 1554,
    "numberOfRooms": 5,
    "perAreaPrice": 5307,
    "energyLabel": "f",
    "yearBuilt": 1955,
    "roadName": "Johs Buchholtz Vej",
    "houseNumber": "2",
    "zipCode": 7600,
    "cityName": "Struer",
    "municipality": "Struer",
    "province": "Vestjylland",
    "realtorName": "EDC",
    "daysListed": 4701,
    "status": "open",
    "stats": {
      "pageViews": 4602,
      "totalClickCount": 3281,
      "totalFavourites": 96
    },
    "priceTimeline": [
      { "date": "2013-08-06T16:24:00Z", "price": 1695000, "eventType": "open" },
      { "date": "2025-09-10T14:10:12Z", "price": 1295000, "eventType": "price_change" }
    ]
  }
]
```

# Actor input Schema

## `searchType` (type: `string`):

Which section of Boligsiden.dk to scrape

## `searchQuery` (type: `string`):

Location search text — city, municipality (e.g. København, Aarhus), neighborhood (e.g. Nørrebro), zip code (e.g. 2100), or street name (e.g. Strandvejen). Resolved via the Boligsiden location API. Leave empty to search all of Denmark.

## `addressTypes` (type: `array`):

Filter by property types (leave empty for all)

## `sortBy` (type: `string`):

How to sort the results (note: only timeOnMarket, price, and random work for tilsalg; price, timeOnMarket, and soldDate for solgte; createdAt for leje)

## `sortAscending` (type: `boolean`):

Sort from lowest to highest (false = highest to lowest)

## `minPrice` (type: `integer`):

Minimum price in Danish Kroner

## `maxPrice` (type: `integer`):

Maximum price in Danish Kroner

## `minArea` (type: `integer`):

Minimum living area in square meters

## `maxArea` (type: `integer`):

Maximum living area in square meters

## `minLotArea` (type: `integer`):

Minimum lot/plot area in square meters

## `maxLotArea` (type: `integer`):

Maximum lot/plot area in square meters

## `minRooms` (type: `integer`):

Minimum number of rooms

## `maxRooms` (type: `integer`):

Maximum number of rooms

## `minYearBuilt` (type: `integer`):

Earliest construction year

## `maxYearBuilt` (type: `integer`):

Latest construction year

## `maxDaysOnMarket` (type: `integer`):

Only properties listed for at most this many days

## `maxDaysSincePriceDrop` (type: `integer`):

Only properties with a price reduction within this many days

## `hasOpenHouse` (type: `boolean`):

Only properties with scheduled open house viewings

## `hasBalcony` (type: `boolean`):

Only properties with a balcony

## `hasTerrace` (type: `boolean`):

Only properties with a terrace

## `hasElevator` (type: `boolean`):

Only properties with an elevator in the building

## `registrationTypes` (type: `array`):

Filter sold properties by registration type (normal, auction, family transfer, etc.)

## `maxItems` (type: `integer`):

Maximum number of listings to scrape (0 = unlimited)

## `maxPages` (type: `integer`):

Maximum number of search result pages to scrape (0 = unlimited)

## `enrichDetails` (type: `boolean`):

Fetch listing details (images, buildings, description, realtor ratings), stats (page views, favourites, clicks), and price timeline for each listing

## `maxConcurrency` (type: `integer`):

How many listings to enrich in parallel when enrichDetails is enabled (1–50). Higher values are faster but use more proxy bandwidth.

## `proxyConfiguration` (type: `object`):

Proxy settings for anti-bot protection

## Actor input object example

```json
{
  "searchType": "tilsalg",
  "addressTypes": [
    "villa",
    "condo",
    "terraced_house"
  ],
  "sortAscending": false,
  "hasOpenHouse": false,
  "hasBalcony": false,
  "hasTerrace": false,
  "hasElevator": false,
  "maxItems": 100,
  "maxPages": 0,
  "enrichDetails": false,
  "maxConcurrency": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset containing scraped property listings

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

// Prepare Actor input
const input = {
    "searchQuery": "",
    "addressTypes": [
        "villa",
        "condo",
        "terraced_house"
    ],
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("rigelbytes/boligsiden-dk-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 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);
});

// 📚 Want to learn more 📖? Go to → 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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQuery": "",
    "addressTypes": [
        "villa",
        "condo",
        "terraced_house",
    ],
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("rigelbytes/boligsiden-dk-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQuery": "",
  "addressTypes": [
    "villa",
    "condo",
    "terraced_house"
  ],
  "maxItems": 100
}' |
apify call rigelbytes/boligsiden-dk-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=rigelbytes/boligsiden-dk-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/goEt4p4w5qr7eRsDI/builds/bh00fdksvxETbcYib/openapi.json