# Boligsiden.dk Scraper (`datascrapers/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/datascrapers/boligsiden-dk-scraper.md
- **Developed by:** [Data Scrapers](https://apify.com/datascrapers) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 dataset items

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

**Boligsiden Scraper** creates a structured dataset of property rows collected from Boligsiden in Denmark. Each dataset item is one case and can include the case id, road, zip code, cash price, housing area, room count, energy label, and year built. Query the source with a search type, a location string, and property types, limit the run with `maxItems`, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

[![Boligsiden Scraper — input to structured data](https://raw.githubusercontent.com/faizanalii/apify-actor-assets/main/boligsiden-dk-scraper/boligsiden-dk-scraper-value-demo.gif)](https://apify.com/datascrapers/boligsiden-dk-scraper)

### Dataset at a glance

| Property | Value |
|---|---|
| Source | boligsiden.dk |
| Record unit | One property case |
| Input methods | `searchType`, `searchQuery`, `addressTypes` |
| Main identifiers | `caseID` |
| Delivery | Apify Dataset and API |
| Export formats | JSON, CSV, Excel, XML, and other Apify dataset exports |
| Update model | Fresh records per Actor run |
| Pricing | $1.00 per 1,000 `dataset-item` events |

### Coverage and available records

The Actor searches for-sale, sold, and rental sections. An empty `searchQuery` searches Denmark. The saved sample is a for-sale house in zip 7790.

Supported:

- `tilsalg`, `solgte`, and `leje`
- City, municipality, neighborhood, zip, or street text
- Price, area, rooms, year built, and days-on-market filters
- Feature flags such as balcony, terrace, elevator, and open house
- A result cap through `maxItems` and a page cap through `maxPages`. `0` means no cap

Not currently collected unless `enrichDetails` is true:

- Extra images, building notes, description, and the price timeline
- The saved search row already includes the cash price, area, and energy label

### Data dictionary

Fields match a saved for-sale row. Prices are Danish kroner.

| Field | Type | Nullable | Description | Example |
|---|---|---:|---|---|
| `caseID` | string | No | Case UUID. Best field for deduplication. | `f8df46de-9098-444b-8a67-4e8f49f1b9c6` |
| `roadName` | string | Yes | Street name. | `Søndervænget` |
| `zipCode` | number | Yes | Postal code. | `7790` |
| `priceCash` | number | Yes | Cash price in DKK. | `595000` |
| `housingArea` | number | Yes | Living area in square meters. | `179` |
| `numberOfRooms` | number | Yes | Room count. | `6` |
| `energyLabel` | string | Yes | Energy label. | `e` |
| `yearBuilt` | number | Yes | Construction year. | `1972` |
| `slug` | string | Yes | Address slug. | `soendervaenget-46-7790-thyholm-06710287__46_______` |
| `lat` | number | Yes | Latitude. | Present on the saved row |
| `lon` | number | Yes | Longitude. | Present on the saved row |
| `imageUrl` | string | Yes | Photo URL. | Present on the saved row |

### Example dataset record

```json
{
  "caseID": "f8df46de-9098-444b-8a67-4e8f49f1b9c6",
  "roadName": "Søndervænget",
  "zipCode": 7790,
  "priceCash": 595000,
  "housingArea": 179,
  "numberOfRooms": 6,
  "energyLabel": "e",
  "yearBuilt": 1972
}
```

The saved row came from a for-sale search. `enrichDetails` was not required for these fields.

### Query and input reference

| Input | Type | Required | Default | Accepted values | Description |
|---|---|---:|---|---|---|
| `searchType` | string | No | `tilsalg` | tilsalg, solgte, leje | Which section of Boligsiden.dk to scrape |
| `searchQuery` | string | No | ``|  | Location search text — city, municipality (e.g. |
| `addressTypes` | array | No | `["villa", "condo", "terraced_house"]` | villa, condo, terraced_house, holiday_house, cooperative, farm, hobby_farm, full_year_plot, villa_apartment, holiday_plot, houseboat, room | Filter by property types (leave empty for all) |
| `sortBy` | string | No |`` | timeOnMarket, price, createdAt, soldDate, area, distance, random | How to sort the results (note: only timeOnMarket, price, and random work for tilsalg; price, timeOnMarket, and soldDate for solgte; createdAt for leje) |
| `sortAscending` | boolean | No | `False` |  | Sort from lowest to highest (false = highest to lowest) |
| `minPrice` | integer | No | ``|  | Minimum price in Danish Kroner |
| `maxPrice` | integer | No |`` |  | Maximum price in Danish Kroner |
| `minArea` | integer | No | ``|  | Minimum living area in square meters |
| `maxArea` | integer | No |`` |  | Maximum living area in square meters |
| `minLotArea` | integer | No | ``|  | Minimum lot/plot area in square meters |
| `maxLotArea` | integer | No |`` |  | Maximum lot/plot area in square meters |
| `minRooms` | integer | No | ``|  | Minimum number of rooms |
| `maxRooms` | integer | No |`` |  | Maximum number of rooms |
| `minYearBuilt` | integer | No | ``|  | Earliest construction year |
| `maxYearBuilt` | integer | No |`` |  | Latest construction year |
| `maxDaysOnMarket` | integer | No | ``|  | Only properties listed for at most this many days |
| `maxDaysSincePriceDrop` | integer | No |`` |  | Only properties with a price reduction within this many days |
| `hasOpenHouse` | boolean | No | `False` |  | Only properties with scheduled open house viewings |
| `hasBalcony` | boolean | No | `False` |  | Only properties with a balcony |
| `hasTerrace` | boolean | No | `False` |  | Only properties with a terrace |
| `hasElevator` | boolean | No | `False` |  | Only properties with an elevator in the building |
| `registrationTypes` | array | No | \`\` | normal, family, auction, sole_owner, company, sold, new_construction | Filter sold properties by registration type (normal, auction, family transfer, etc.) |
| `maxItems` | integer | No | `0` |  | Maximum number of listings to scrape (0 = unlimited) |
| `maxPages` | integer | No | `0` |  | Maximum number of search result pages to scrape (0 = unlimited) |
| `enrichDetails` | boolean | No | `False` |  | Fetch listing details (images, buildings, description, realtor ratings), stats (page views, favourites, clicks), and price timeline for each listing |
| `maxConcurrency` | integer | No | `10` |  | How many listings to enrich in parallel when enrichDetails is enabled (1–50). |
| `proxyConfiguration` | object | No | `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}` |  | Proxy settings for anti-bot protection |

Minimal request:

```json
{
  "searchType": "tilsalg",
  "searchQuery": "7790",
  "maxItems": 10
}
```

### Retrieve the data through the API

1. Start `datascrapers/boligsiden-dk-scraper` with the JSON input.
2. Wait until the run finishes, or call the synchronous dataset endpoint.
3. Read items from the run's default dataset.
4. Paginate with dataset `offset` and `limit`.

```python
from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("datascrapers/boligsiden-dk-scraper").call(run_input={
    "searchType": "tilsalg",
    "searchQuery": "7790",
    "maxItems": 10,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["caseID"], item["priceCash"], item["zipCode"])
```

Other languages are listed on the Actor's API tab. This is the Apify Actor API, not a Boligsiden API.

### Data quality and record handling

- One dataset item is one case. Each pushed case charges one `dataset-item` event.
- Deduplicate on `caseID`.
- `label` can be an empty string on a saved row.
- Prices are kroner as returned by Boligsiden.
- `maxItems` and `maxPages` of `0` do not cap the result set.

### Pricing and cost examples

The price file charges **$1.00 per 1,000** listings. That is **$0.001** per `dataset-item` on every Apify plan. Platform usage, including compute and proxy, is billed separately by Apify.

| Records | Estimated event cost |
|---:|---:|
| 1,000 | $1.00 |
| 10,000 | $10.00 |

### Limitations and responsible data use

- Coverage is the search the input requests. An empty query is a Denmark-wide search and can be large.
- Sort options depend on `searchType`. Some sort values do not apply to every section.
- Prices change. This dataset is not a historical archive unless enrichment returns a price timeline for that run.
- You are responsible for complying with Boligsiden's terms and applicable law.

### Dataset questions

#### What does one dataset item represent?

One Boligsiden property case from for-sale, sold, or rental search.

#### Which field should I use as a unique identifier?

Use `caseID`.

#### Are fields nullable or conditional?

Yes. Description and price timeline fields are conditional on `enrichDetails`.

#### Can I retrieve the records as CSV or JSON?

Yes. Export the default dataset as JSON, CSV, Excel, XML, or another Apify format.

#### How do I paginate large datasets?

Use `limit` and `offset` on the dataset items endpoint. `maxItems` and `maxPages` limit the run.

#### Does the Actor return historical data?

Sold searches return sold rows. A for-sale row is the current case.

#### What counts as a billable result?

One `dataset-item` event per case saved to the dataset.

### Related datasets from Data Scrapers

- [Bezrealitky Scraper](https://apify.com/datascrapers/bezrealitky-scraper) collects Czech sale and rent offers.
- [BNP Paribas Real Estate Scraper](https://apify.com/datascrapers/bnppre-scraper) collects German commercial property listings.
- [Boliga Scraper](https://apify.com/datascrapers/boliga-dk-scraper) collects Danish listings with price and energy class.
- [Booli Scraper](https://apify.com/datascrapers/booli-se-scraper) collects Swedish for-sale and sold homes.
- [Apartments Scraper](https://apify.com/datascrapers/apartments-scraper) collects US rental listings.
- [Bayut Scraper](https://apify.com/datascrapers/bayut-scraper) collects UAE property listings.

### Data Scrapers support

Questions about this dataset: stardustspotlight@gmail.com

# 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

## `runStats` (type: `string`):

No description

# 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("datascrapers/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("datascrapers/boligsiden-dk-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 datascrapers/boligsiden-dk-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascrapers/boligsiden-dk-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/APUfARjgAaIggomfP/builds/PUsa4c7dyiSh3hov2/openapi.json