# Hemnet Sweden Real Estate & Broker Contacts Scraper (`scrapers_lat/hemnet-sweden-realestate-scraper`) Actor
Scrape Sweden property listings from Hemnet: asking price, address, municipality, rooms, living area, fee, floor, coordinates and the listing broker and agency. Filter by location, property type and rooms. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/hemnet-sweden-realestate-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Real estate, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $25.50 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## 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/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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
## Hemnet Sweden Real Estate & Broker Contacts Scraper
> Collect Sweden property listings from Hemnet with asking price, address, municipality, rooms, living area, monthly fee, floor, map coordinates and the listing broker and agency. Filter by location, property type and minimum rooms, then export clean structured data for market research, valuation and lead generation.
Price & size asking price, rooms, m2
Broker lead agent + agency
JSON / CSV / Excel output formats
### Who is it for
| Use case | Who benefits |
|---|---|
| Market research | Analysts tracking asking prices, m2 rates and supply by area |
| Valuation | Appraisers and investors comparing similar listings |
| Lead generation | Agencies and service providers reaching listing brokers |
| Dashboards | Builders feeding Swedish housing data into their own apps |
### How to use it
1. Enter a **location**: a Swedish city, municipality or county (for example Stockholm, Goteborg, Malmo or Uppsala). You can also paste a Hemnet location slug such as `stockholms-kommun` or `skane-lan`.
2. Optionally pick a **property type** (apartment, villa, townhouse, vacation home or plot) and a **minimum rooms** value.
3. Set **Max Items** and run. Export as JSON, CSV or Excel, or pull the data through the Apify API.
### Frequently Asked Questions
**What does price mean?**
`price` is the asking price shown on the listing in Swedish kronor (SEK). `squareMeterPrice` is the asking price per square meter of living area.
**Can I get only apartments or only villas?**
Yes. Set the property type to apartment, villa, townhouse, vacation home or plot to keep only matching listings.
**Which locations can I search?**
Any Swedish city, municipality or county. Common names are recognised automatically, and you can always paste an exact Hemnet location slug for precise control.
**How fresh is the data?**
Listings are read live at run time, so each record reflects what was published at the moment of the run (see `observedAt`).
### Related scrapers
- [Polymarket Prediction Markets Scraper](https://apify.com/scrapers_lat/polymarket-markets-scraper)
- [Yahoo Finance Scraper](https://apify.com/scrapers_lat/yahoo-finance-scraper)
- [Google Maps Scraper](https://apify.com/scrapers_lat/google-maps-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Hemnet. It only accesses publicly available listing data. Use the results in accordance with the source's terms.
# Actor input Schema
## `maxListings` (type: `integer`):
Maximum number of listings to collect across all locations in this run.
## `locations` (type: `array`):
One or more Swedish cities, municipalities or counties to search (for example Stockholm, Goteborg, Malmo, Uppsala). You can also paste a Hemnet location slug like stockholms-kommun or skane-lan. One run searches every location in the list.
## `listingType` (type: `string`):
Which listings to return: all properties for sale, or only upcoming listings.
## `propertyType` (type: `string`):
Restrict to one property type, or leave as Any.
## `minRooms` (type: `integer`):
Only return listings with at least this many rooms. Leave empty for no minimum.
## `enrichContacts` (type: `boolean`):
Optional paid add-on, off by default. For each result without an email, attempt to find a public business contact email and a contact person's name. Billed per attempt, plus an extra charge only when an email is found.
## `enrichContactsMax` (type: `integer`):
Cap how many results the add-on tries to enrich, to control add-on cost. Leave empty to attempt all. Free Apify accounts are capped at 3.
## Actor input object example
```json
{
"maxListings": 24,
"locations": [
"Stockholm",
"Goteborg"
],
"listingType": "for_sale",
"propertyType": "any",
"enrichContacts": false,
"enrichContactsMax": 50
}
````
# Actor output Schema
## `results` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxListings": 24,
"locations": [
"Stockholm",
"Goteborg"
],
"listingType": "for_sale",
"propertyType": "any"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/hemnet-sweden-realestate-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 = {
"maxListings": 24,
"locations": [
"Stockholm",
"Goteborg",
],
"listingType": "for_sale",
"propertyType": "any",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/hemnet-sweden-realestate-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 '{
"maxListings": 24,
"locations": [
"Stockholm",
"Goteborg"
],
"listingType": "for_sale",
"propertyType": "any"
}' |
apify call scrapers_lat/hemnet-sweden-realestate-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/hemnet-sweden-realestate-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Hemnet Sweden Real Estate & Broker Contacts Scraper",
"description": "Scrape Sweden property listings from Hemnet: asking price, address, municipality, rooms, living area, fee, floor, coordinates and the listing broker and agency. Filter by location, property type and rooms. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "bFlsNXvekKviUZIkI"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~hemnet-sweden-realestate-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-hemnet-sweden-realestate-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~hemnet-sweden-realestate-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-hemnet-sweden-realestate-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~hemnet-sweden-realestate-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-hemnet-sweden-realestate-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"maxListings": {
"title": "Max Listings To Scrape",
"minimum": 1,
"maximum": 200,
"type": "integer",
"description": "Maximum number of listings to collect across all locations in this run."
},
"locations": {
"title": "Locations",
"type": "array",
"description": "One or more Swedish cities, municipalities or counties to search (for example Stockholm, Goteborg, Malmo, Uppsala). You can also paste a Hemnet location slug like stockholms-kommun or skane-lan. One run searches every location in the list.",
"items": {
"type": "string"
}
},
"listingType": {
"title": "Listing type",
"enum": [
"for_sale",
"upcoming"
],
"type": "string",
"description": "Which listings to return: all properties for sale, or only upcoming listings.",
"default": "for_sale"
},
"propertyType": {
"title": "Property type",
"enum": [
"any",
"apartment",
"villa",
"townhouse",
"vacation",
"plot"
],
"type": "string",
"description": "Restrict to one property type, or leave as Any.",
"default": "any"
},
"minRooms": {
"title": "Minimum rooms",
"minimum": 1,
"maximum": 15,
"type": "integer",
"description": "Only return listings with at least this many rooms. Leave empty for no minimum."
},
"enrichContacts": {
"title": "Find contact email & name (paid add-on)",
"type": "boolean",
"description": "Optional paid add-on, off by default. For each result without an email, attempt to find a public business contact email and a contact person's name. Billed per attempt, plus an extra charge only when an email is found.",
"default": false
},
"enrichContactsMax": {
"title": "Max results to enrich",
"minimum": 1,
"type": "integer",
"description": "Cap how many results the add-on tries to enrich, to control add-on cost. Leave empty to attempt all. Free Apify accounts are capped at 3.",
"default": 50
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```