# Nybolig.dk Scraper (`lexis-solutions/nybolig-dk-scraper`) Actor
Scrape Nybolig.dk property listings with this Nybolig.dk scraper: extract Danish real estate data, prices, addresses, land area, agent and contact details.
- **URL**: https://apify.com/lexis-solutions/nybolig-dk-scraper.md
- **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community)
- **Categories:** Real estate, AI, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
$35.00/month + usage
To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## Nybolig.dk Scraper
Nybolig is a Danish real-estate portal and franchise network that lists properties for sale/rent and a directory of 200+ local estate agents across Denmark. The site offers searchable property listings, agent profiles, valuation tools and services to help users buy or sell homes. It's primarily a marketplace connecting buyers/sellers with local real estate brokers.
### Introduction
The Nybolig.dk scraper accepts listing search URLs or detail URLs. Search URLs are paginated through the Nybolig API, and detail pages are scraped for structured listing data.
### Use Cases
- Collect listing data for analysis or reporting.
- Monitor listings from specific search result pages.
- Extract property details and contact information.
### Input
Provide the following fields:
- `startUrls` (array, required): Listing search or detail URLs on nybolig.dk.
- `maxItems` (integer, required): Maximum number of items to enqueue from search results.
- `proxyConfiguration` (object, optional): Apify proxy configuration. Example: `{ "useApifyProxy": false }`
Notes:
- Off-domain URLs are skipped automatically.
- Some detail URLs redirect to other domains, and those pages will be ignored.
- You must provide `startUrls` to run the scraper.
### Input Examples
**1) Start URLs**
```json
{
"startUrls": [
{
"url": "https://www.nybolig.dk/soegeresultat-boliger?postalCodeRanges=4720,4720,4720+Pr%C3%A6st%C3%B8"
}
],
"maxItems": 10,
"proxyConfiguration": {
"useApifyProxy": false
}
}
````
**2) Detail URL**
```json
{
"startUrls": [
{
"url": "https://www.nybolig.dk/villa/7980/naessundvej/n230029/n2300290000337"
}
],
"maxItems": 1,
"proxyConfiguration": {
"useApifyProxy": false
}
}
```
### Output
Each dataset item contains fields like:
```json
{
"url": "https://www.nybolig.dk/villa/7980/naessundvej/n230029/n2300290000337",
"title": "Næssundvej 173 7980 Vils",
"description": "Velkommen til denne villa med masser af muligheder og plads til nye ideer.\n\nBolig på 144 kvadratmeter fordelt på 2 plan og dertil kommer en kælder - 71 m2, hvor der også er muligheder.\n\nSet udefra vejen er det et sundt hus med godt murværk, et fint tag osv. facanden er rigtig fin. Denne bolig er til jer, der ønsker et sted, hvor kreatitivtet og en skabetrag kan komme i frit spil. Med den rette portion af tid, ressourser og ideer, kan resultatet blive godt.\n\nDet er indenfor husets mure, der skal sættes i gang med genoplivning - et vaskeægte \"gør det selv\" projekt fra kælder til kvist.\n\nStueplan er indrettet med entré, køkken, badeværelse og en stue. På 1. sal er 2 værelser + et repos / gang. Kælderen er med flere disp rum og udgang til gårdspladsen.\n\nOmme bag huset er en lille solrig gårdsplads med en dobbelt garage (48 m2) , så hvis din husstand har 2 biler, er der plads til begge.\n\nMed til Næssundvej 173 medfølger Næssundvej 175 dvs. du køber 2 grunde men kun et hus. Måske har du en hobby, der kræver noget ekstra plads, så er her 1.625 m2 for dine fødder til alt, hvad du præcis drømmer om at skabe.\n\nHaven er primært glæsplæne men også med potentiale til noget større og mere frodigt udfordrende.\n\nMed kort afstand til busstop, indkøb og skolen herunder sport, så er denne beliggenhed perfekt for mange. Vils er på mange måder en meget aktiv landsby og tiltrækker unge mennesker.\n\nKomfortabel afstand til Nykøbing - også med bus til Nykøbing men også tæt på skøn natur i Sindbjerg Plantage / skov.\n\nBestil en fremvisning og mærk efter om du kan gøre dette til dit nye hjem.",
"numberOfRooms": 3,
"yearBuilt": 1950,
"streetAddress": "Næssundvej 173",
"addressLocality": "Vils",
"postalCode": "7980",
"addressCountry": "DK",
"price": "395000",
"currency": "DKK",
"floorSize": 144,
"floorSizeUnit": "M2",
"image": "https://nybolig.mindworking.eu/api/mediaData/mediaDataMediaPurposeId/SU1lZGlhRGF0YTp7Ik1lZGlhRGF0YUlkIjo3MjkxNTEzLCJNZWRpYVB1cnBvc2VJZCI6MjJ9/imageHash/744704303d9516d3c8455162f7d172ed/imageSize/Assets/inline/True?bgcolor=ffffff&dpi=72&jq=70&tp=rgb&fo=1&w=480&h=360",
"imageCaption": "Udvalgt ejendom 1 Billede",
"sellerName": "Ole Gørtler Laustsen",
"sellerJobTitle": "Indehaver, Ejendomsmægler, Vurderingskonsulent for Totalkredit, KøberRådgiver m/Tryghedsmærke",
"sellerTelephone": "+45 9772 3020",
"sellerWorkFor": "Nybolig Morsø",
"landArea": "1625 m²",
"expenses": "1523",
"downPayment": "25000",
"grossCostExclOwnership": "2.203",
"netCostExclOwnershipCosts": "1.754",
"contactTitle": "Indehaver, Ejendomsmægler, Vurderingskonsulent for Totalkredit, KøberRådgiver m/Tryghedsmærke",
"contactImage": null,
"contactPhones": ["+45 9772 3020"],
"contactEmails": ["ogl@nybolig.dk"],
"contactBusinessNames": ["Nybolig Morsø"],
"transportKm": null,
"shoppingKm": null,
"daycareKm": null,
"schoolKm": null,
"sportsAndLeisureKm": null,
"healthcareKm": 7.08,
"evChargersKm": null,
"fastEvChargersKm": null
}
```
The scraper paginates through search results and stops when there are no more results or when `maxItems` is reached.
### Why use the Nybolig.dk Scraper?
- Supports search result URLs and detail URLs.
- Extracts structured listing data including contact details.
- Stops at `maxItems` when crawling search results.
### FAQ
- **How many listings can it extract?**\
Set `maxItems` to limit results; If not provided, the scraper will use the default limit.
- **What if the website changes?**\
Site changes may require updates. Please report issues or request updates.
- **Does it support proxies?**\
Yes. Configure `proxyConfiguration` to route traffic through your preferred proxies.
### Need to scrape other platforms?
Check out other scrapers in this repository or on Apify.
***
**Need help or want a custom solution?**
Lexis Solutions is a certified Apify Partner. We can help with custom data extraction projects.
Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions)
### Support Our Work
If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. It will take you less than a minute but it will mean a lot to us!
Image Credits:
# Actor input Schema
## `startUrls` (type: `array`):
URLs to start with.
## `maxItems` (type: `integer`):
Maximum number of items.
## `proxyConfiguration` (type: `object`):
Your proxy configuration from Apify
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://www.nybolig.dk/soegeresultat-boliger?postalCodeRanges=4720,4720,4720+Pr%C3%A6st%C3%B8"
}
],
"maxItems": 10,
"proxyConfiguration": {
"useApifyProxy": false
}
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrls": [
{
"url": "https://www.nybolig.dk/soegeresultat-boliger?postalCodeRanges=4720,4720,4720+Pr%C3%A6st%C3%B8"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("lexis-solutions/nybolig-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://www.nybolig.dk/soegeresultat-boliger?postalCodeRanges=4720,4720,4720+Pr%C3%A6st%C3%B8" }] }
# Run the Actor and wait for it to finish
run = client.actor("lexis-solutions/nybolig-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 '{
"startUrls": [
{
"url": "https://www.nybolig.dk/soegeresultat-boliger?postalCodeRanges=4720,4720,4720+Pr%C3%A6st%C3%B8"
}
]
}' |
apify call lexis-solutions/nybolig-dk-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=lexis-solutions/nybolig-dk-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Nybolig.dk Scraper",
"description": "Scrape Nybolig.dk property listings with this Nybolig.dk scraper: extract Danish real estate data, prices, addresses, land area, agent and contact details.",
"version": "1.0",
"x-build-id": "H49NrxC72c93pQRHO"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/lexis-solutions~nybolig-dk-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-lexis-solutions-nybolig-dk-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/lexis-solutions~nybolig-dk-scraper/runs": {
"post": {
"operationId": "runs-sync-lexis-solutions-nybolig-dk-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/lexis-solutions~nybolig-dk-scraper/run-sync": {
"post": {
"operationId": "run-sync-lexis-solutions-nybolig-dk-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"startUrls",
"maxItems"
],
"properties": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "URLs to start with.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"maxItems": {
"title": "Maximum number of items",
"type": "integer",
"description": "Maximum number of items.",
"default": 10
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Your proxy configuration from Apify",
"default": {
"useApifyProxy": false
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```