# Hemnet.se Scraper - Swedish Real Estate Listings (`rigelbytes/hemnet-se-scraper`) Actor

Scrape property listings from Hemnet.se including for-sale, upcoming, and sold homes. Search by URL or location query with pagination controls and Apify residential proxy support.

- **URL**: https://apify.com/rigelbytes/hemnet-se-scraper.md
- **Developed by:** [Rigel Bytes](https://apify.com/rigelbytes) (community)
- **Categories:** Real estate, Lead generation, News
- **Stats:** 2 total users, 1 monthly users, 80.0% 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 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

## Hemnet.se Scraper - Swedish Real Estate Listings

Extract thousands of Swedish property listings from Hemnet.se for market research, price monitoring, and lead generation — from just **$1 per 1,000 listings**. Supports for-sale, upcoming, and sold homes with full listing detail enrichment.

---

### What can Hemnet.se Scraper do for you?

- **Build property databases** — Extract for-sale, upcoming, and sold listings by city, county, or property type from Sweden's largest real estate marketplace
- **Monitor market trends** — Track asking prices, sold prices, square meter rates, and inventory volumes across Swedish municipalities
- **Enrich listings with full details** — Enable listing details mode to get broker contact info, property descriptions, open house schedules, energy classifications, tenure types, and all listing images
- **Search by location name** — Enter "Stockholm," "Malmö," or "Södertälje" and let the scraper autocomplete the best Hemnet location match
- **Scale safely** — Runs with Apify residential proxy support and automatic retry logic for reliable data collection

---

### What data can you extract?

| Field | Description |
|-------|-------------|
| 🏠 `streetAddress` | Property street address |
| 📍 `locationDescription` | Area and municipality |
| 💰 `askingPrice` / `finalPrice` | Listed and sold prices |
| 🛏️ `rooms` | Number of rooms |
| 📐 `livingArea` / `landArea` | Living and plot sizes |
| 🏢 `housingForm` | Property type (Villa, Lägenhet, Radhus, etc.) |
| 👤 `broker` | Broker name, agency, contact info |
| 🖼️ `images` / `thumbnail` | Property image URLs |
| 📅 `publishedAt` / `soldAt` | Listing and sale timestamps |
| 📌 `coordinates` | Latitude and longitude |
| 🏷️ `labels` / `showings` | Feature labels and open house times |
| 🔍 `details` | Full listing data when listing details enabled |

---

### Why use this scraper?

- 📊 **Market research** — Analyze housing supply, pricing trends, and inventory across Swedish regions
- 💼 **Investment analysis** — Track sold prices and price changes to identify market opportunities
- 🤝 **Lead generation** — Extract broker contact details for real estate outreach and partnerships
- 📋 **Competitive monitoring** — Watch how listings evolve with price changes, label updates, and sale status
- 🔄 **Data automation** — Schedule regular runs to keep your property database current

---

### Pricing

- **$1/1,000 search result listings**
- **+$1/1,000 listings** when listing details is enabled ($2/1,000 total)
- No hidden fees or limits on usage.
- Apify platform plans may offer discounted usage tiers.

---

### How to use Hemnet.se Scraper

1. **Create an Apify account** at [apify.com](https://apify.com) (free tier available).
2. **Open the Hemnet.se Scraper** in Apify Console.
3. **Provide Start URLs** (direct Hemnet search URLs) or **Search Queries** (location names like "Stockholm").
4. **Configure settings** — choose listing type, property types, max pages, and toggle listing details.
5. **Enable Apify residential proxies** for reliable scraping.
6. **Click Start** and download results from the Output tab in JSON, CSV, Excel, or HTML.

---

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `startUrls` | `array` | No | Direct Hemnet search result URLs to scrape |
| `searchQueries` | `array` | No | Location names (e.g. "Stockholm", "Malmö") |
| `listingType` | `string` | No | `for_sale`, `upcoming`, or `sold` (default: `for_sale`) |
| `itemTypes` | `array` | No | Multi-select property types: villa, lägenhet, bostadsrätt, radhus, fritidshus, tomt, gård/skog, övrigt |
| `minRooms` / `maxRooms` | `number` | No | Minimum/maximum number of rooms (supports half rooms like 1.5) |
| `minLivingArea` / `maxLivingArea` | `integer` | No | Living area filters in m² |
| `minPrice` / `maxPrice` | `integer` | No | Price filters in SEK |
| `expandLocations` | `integer` | No | Expand search radius in km (1, 5, 10, 25, or 50) |
| `maxPages` | `integer` | No | Max search result pages per target (default: `3`) |
| `maxListings` | `integer` | No | Max total listings to scrape (`0` = unlimited within pages) |
| `listingDetails` | `boolean` | No | Fetch full listing detail pages (default: `false`) |
| `proxyConfiguration` | `object` | No | Proxy settings (default: Apify residential proxies) |

#### 📝 Copy for Use:

```json
{
  "searchQueries": ["Stockholm", "Malmö"],
  "listingType": "for_sale",
  "itemTypes": ["villa", "lagenhet"],
  "minRooms": 3,
  "minLivingArea": 50,
  "maxPrice": 5000000,
  "expandLocations": 5,
  "maxPages": 3,
  "maxListings": 0,
  "listingDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}
````

***

### Output

Each dataset item represents one listing from Hemnet search results. You can download the dataset in JSON, CSV, Excel, HTML, or other supported formats.

```json
{
  "id": "21596414",
  "url": "https://www.hemnet.se/bostad/villa-5rum-kungshamn-sotenas-kommun-storemyrsgatan-5-21596414",
  "listingType": "for_sale",
  "streetAddress": "Storemyrsgatan 5",
  "locationDescription": "Kungshamn, Sotenäs kommun",
  "askingPrice": "5 795 000 kr",
  "rooms": "5 rum",
  "livingArea": "100+56 m²",
  "landArea": "526 m²",
  "housingForm": {"symbol": "HOUSE", "name": "Villa"},
  "broker": {
    "name": "Lars Holmgren",
    "agencyName": "Fastighetsbyrån Kungshamn"
  },
  "coordinates": {"lat": 58.3633, "lng": 11.2536},
  "thumbnail": "https://bilder.hemnet.se/...",
  "images": ["https://bilder.hemnet.se/..."],
  "labels": ["Premium"],
  "showings": [],
  "publishedAt": "2026-01-15T10:00:00+00:00",
  "page": 1,
  "totalResults": 49113,
  "searchUrl": "https://www.hemnet.se/bostader"
}
```

When **listing details** is enabled, each item also includes a `details` object with the full property page data (description, images, broker contact, open houses, energy classification, tenure, sale history, and more).

***

### Why Choose This Scraper?

- **Affordable**: Pay only $1 per 1,000 listings scraped — plus $1/1,000 more when listing details are enabled.
- **Comprehensive**: Covers for-sale, upcoming, and sold listings with optional full detail enrichment including broker contact info, property descriptions, all images, and open house schedules.
- **Easy to Use**: Enter a location name or paste a Hemnet URL — no complex setup required.
- **Reliable**: Uses Apify residential proxies and automatic retries to handle anti-bot protections.

***

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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 Examples

#### Python

```shell
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("rigelbytes/hemnet-se-scraper").call(
    run_input={
        "searchQueries": ["Stockholm"],
        "listingType": "for_sale",
        "maxPages": 3,
        "proxyConfiguration": {
            "useApifyProxy": True,
            "apifyProxyGroups": ["RESIDENTIAL"]
        }
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["streetAddress"], item["askingPrice"])
```

#### JavaScript

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

const client = new ApifyClient({ token: "YOUR_API_TOKEN" });
const run = await client
    .actor("rigelbytes/hemnet-se-scraper")
    .call({
        searchQueries: ["Stockholm"],
        listingType: "for_sale",
        maxPages: 3,
        proxyConfiguration: {
            useApifyProxy: true,
            apifyProxyGroups: ["RESIDENTIAL"]
        }
    });
const { items } = await client
    .dataset(run.defaultDatasetId)
    .listItems();
items.forEach(item => console.log(item.streetAddress, item.askingPrice));
```

#### cURL

```shell
curl -X POST "https://api.apify.com/v2/acts/rigelbytes/hemnet-se-scraper/runs" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "searchQueries": ["Stockholm"],
    "listingType": "for_sale",
    "maxPages": 3,
    "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

Below are real examples of the data this scraper produces:

```json
[
  {
    "id": "21715144",
    "url": "https://www.hemnet.se/bostad/villa-7rum-staket-jarfalla-kommun-bielkenstiernas-vag-5-21715144",
    "listingType": "for_sale",
    "streetAddress": "Bielkenstiernas väg 5",
    "locationDescription": "Stäket, Järfälla kommun",
    "askingPrice": "6\u00a0990\u00a0000\u00a0kr",
    "rooms": "7\u00a0rum",
    "livingArea": "179+85\u00a0m\u00b2",
    "landArea": "1\u00a0296\u00a0m\u00b2",
    "housingForm": {"symbol": "HOUSE", "name": "Villa"},
    "broker": {
      "name": "Camilla Lindqvist",
      "agencyName": "Mäklarringen Järfälla"
    },
    "coordinates": {"lat": 59.47323, "lng": 17.7998371},
    "publishedAt": "2026-06-20T07:39:46+00:00",
    "totalResults": 10211
  },
  {
    "id": "21551709",
    "url": "https://www.hemnet.se/bostad/lagenhet-1rum-vega-haninge-kommun-storseglet-25-21551709",
    "listingType": "for_sale",
    "streetAddress": "Storseglet 25",
    "locationDescription": "Vega, Haninge kommun",
    "askingPrice": "1\u00a0500\u00a0000\u00a0kr",
    "rooms": "1\u00a0rum",
    "livingArea": "28\u00a0m\u00b2",
    "fee": "2\u00a0560\u00a0kr/m\u00e5n",
    "floor": "v\u00e5n 2/6",
    "squareMeterPrice": "53\u00a0571\u00a0kr/m\u00b2",
    "housingForm": {"symbol": "APARTMENT", "name": "L\u00e4genhet"},
    "broker": {
      "name": "Henrik Norberg",
      "agencyName": "Fastighetsmäklarna"
    },
    "coordinates": {"lat": 59.1855005, "lng": 18.1364731},
    "publishedAt": "2026-06-20T07:44:18+00:00"
  }
]
```

[![Detailed Data](https://img.shields.io/badge/Detailed%20Data-Dataset-blue?style=for-the-badge)](#detailed-data)

# Actor input Schema

## `startUrls` (type: `array`):

Direct Hemnet search result URLs to scrape. Supports for-sale (/bostader), upcoming (/kommande/bostader), and sold (/salda/bostader) pages with optional filters.

## `searchQueries` (type: `array`):

Location names to search on Hemnet (e.g. "Stockholm", "Södertälje", "Malmö"). The best autocomplete match is used. Combine with the filters below.

## `listingType` (type: `string`):

Which Hemnet listing section to scrape when using search queries.

## `itemTypes` (type: `array`):

Filter by property type. Leave empty to include all types.

## `minRooms` (type: `number`):

Minimum number of rooms. Supports half rooms (e.g. 1.5). Leave empty for no minimum.

## `maxRooms` (type: `number`):

Maximum number of rooms. Supports half rooms (e.g. 3.5). Leave empty for no maximum.

## `minLivingArea` (type: `integer`):

Minimum living area in square meters. Leave empty for no minimum.

## `maxLivingArea` (type: `integer`):

Maximum living area in square meters. Leave empty for no maximum.

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

Minimum asking/final price in SEK. Leave empty for no minimum.

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

Maximum asking/final price in SEK. Leave empty for no maximum.

## `expandLocations` (type: `integer`):

Expand the search radius around the selected location in kilometers (Hemnet "expand search area"). Allowed values: 1, 5, 10, 25, or 50. Leave empty to search only the exact location.

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

Maximum number of search result pages to scrape per search target (50 listings per page). Default is 3.

## `maxListings` (type: `integer`):

Maximum number of listings to scrape in total across all search targets (0 = unlimited within maxPages).

## `listingDetails` (type: `boolean`):

Fetch full listing detail pages for each result (address, description, broker contact, open houses, all images, and more). Billed as listing-details events.

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

Proxy settings for anti-bot protection. Apify residential proxies are recommended.

## Actor input object example

```json
{
  "startUrls": [],
  "searchQueries": [
    "Stockholm"
  ],
  "listingType": "for_sale",
  "itemTypes": [],
  "maxPages": 3,
  "maxListings": 0,
  "listingDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Link to the default dataset containing scraped Hemnet listings

## `run` (type: `string`):

Link to the run in Apify Console

# 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 = {
    "startUrls": [],
    "searchQueries": [
        "Stockholm"
    ],
    "itemTypes": [],
    "maxPages": 3,
    "maxListings": 0
};

// Run the Actor and wait for it to finish
const run = await client.actor("rigelbytes/hemnet-se-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 = {
    "startUrls": [],
    "searchQueries": ["Stockholm"],
    "itemTypes": [],
    "maxPages": 3,
    "maxListings": 0,
}

# Run the Actor and wait for it to finish
run = client.actor("rigelbytes/hemnet-se-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": [],
  "searchQueries": [
    "Stockholm"
  ],
  "itemTypes": [],
  "maxPages": 3,
  "maxListings": 0
}' |
apify call rigelbytes/hemnet-se-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Hemnet.se Scraper - Swedish Real Estate Listings",
        "description": "Scrape property listings from Hemnet.se including for-sale, upcoming, and sold homes. Search by URL or location query with pagination controls and Apify residential proxy support.",
        "version": "0.1",
        "x-build-id": "acMUgWJRgruCIIRWv"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/rigelbytes~hemnet-se-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-rigelbytes-hemnet-se-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/rigelbytes~hemnet-se-scraper/runs": {
            "post": {
                "operationId": "runs-sync-rigelbytes-hemnet-se-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/rigelbytes~hemnet-se-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-rigelbytes-hemnet-se-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "startUrls": {
                        "title": "Start URLs",
                        "type": "array",
                        "description": "Direct Hemnet search result URLs to scrape. Supports for-sale (/bostader), upcoming (/kommande/bostader), and sold (/salda/bostader) pages with optional filters.",
                        "default": [],
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "searchQueries": {
                        "title": "Search Queries",
                        "type": "array",
                        "description": "Location names to search on Hemnet (e.g. \"Stockholm\", \"Södertälje\", \"Malmö\"). The best autocomplete match is used. Combine with the filters below.",
                        "default": []
                    },
                    "listingType": {
                        "title": "Listing Type",
                        "enum": [
                            "for_sale",
                            "upcoming",
                            "sold"
                        ],
                        "type": "string",
                        "description": "Which Hemnet listing section to scrape when using search queries.",
                        "default": "for_sale"
                    },
                    "itemTypes": {
                        "title": "Property Types",
                        "type": "array",
                        "description": "Filter by property type. Leave empty to include all types.",
                        "items": {
                            "type": "string",
                            "enum": [
                                "villa",
                                "lagenhet",
                                "bostadsratt",
                                "radhus",
                                "fritidshus",
                                "tomt",
                                "gard-skog",
                                "ovrigt"
                            ],
                            "enumTitles": [
                                "Villa",
                                "Apartment (lägenhet)",
                                "Housing cooperative (bostadsrätt)",
                                "Townhouse (radhus)",
                                "Holiday home (fritidshus)",
                                "Plot (tomt)",
                                "Farm / forest (gård/skog)",
                                "Other (övrigt)"
                            ]
                        },
                        "default": []
                    },
                    "minRooms": {
                        "title": "Minimum Rooms",
                        "minimum": 0,
                        "type": "number",
                        "description": "Minimum number of rooms. Supports half rooms (e.g. 1.5). Leave empty for no minimum."
                    },
                    "maxRooms": {
                        "title": "Maximum Rooms",
                        "minimum": 0,
                        "type": "number",
                        "description": "Maximum number of rooms. Supports half rooms (e.g. 3.5). Leave empty for no maximum."
                    },
                    "minLivingArea": {
                        "title": "Minimum Living Area (m²)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Minimum living area in square meters. Leave empty for no minimum."
                    },
                    "maxLivingArea": {
                        "title": "Maximum Living Area (m²)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum living area in square meters. Leave empty for no maximum."
                    },
                    "minPrice": {
                        "title": "Minimum Price (SEK)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Minimum asking/final price in SEK. Leave empty for no minimum."
                    },
                    "maxPrice": {
                        "title": "Maximum Price (SEK)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum asking/final price in SEK. Leave empty for no maximum."
                    },
                    "expandLocations": {
                        "title": "Expand Search Area",
                        "minimum": 1,
                        "maximum": 50,
                        "type": "integer",
                        "description": "Expand the search radius around the selected location in kilometers (Hemnet \"expand search area\"). Allowed values: 1, 5, 10, 25, or 50. Leave empty to search only the exact location."
                    },
                    "maxPages": {
                        "title": "Max Pages",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of search result pages to scrape per search target (50 listings per page). Default is 3.",
                        "default": 3
                    },
                    "maxListings": {
                        "title": "Max Listings",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of listings to scrape in total across all search targets (0 = unlimited within maxPages).",
                        "default": 0
                    },
                    "listingDetails": {
                        "title": "Listing Details",
                        "type": "boolean",
                        "description": "Fetch full listing detail pages for each result (address, description, broker contact, open houses, all images, and more). Billed as listing-details events.",
                        "default": false
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Proxy settings for anti-bot protection. Apify residential proxies are recommended.",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ]
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
