Pricing

Pay per usage

Boliga.dk Scraper

Extract real estate listings from Boliga.dk with structured property data including price, address, size, rooms, lot area, energy rating, listing status, images, coordinates, and property details. Perfect for market research, price tracking, lead generation, and analytics.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Shahid Irfan

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Real estate

Lead generation

Automation

You can access the Boliga.dk Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrl": "https://www.boliga.dk/resultat/landsdele/koebenhavn-by/alle-til-salg",
10    "results_wanted": 20,
11    "max_pages": 2,
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("shahidirfan/boliga-dk-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20    print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Boliga.dk Scraper API in Python

The Apify API client for Python is the official library that allows you to use Boliga.dk Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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Boliga.dk Scraper OpenAPI definition

Boliga.dk Scraper API

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