Hemnet Scraper 🇸🇪 - Sweden Real Estate Data Extractor

Scrape property listings from Hemnet.se — Sweden's #1 real estate platform with 90%+ market share. Extract prices, addresses, agent contacts, images, and 30+ data fields per property in structured JSON, CSV, or Excel format. Perfect for Swedish real estate market analysis, property investment research, PropTech applications, and lead generation.

No Hemnet API needed. No login required. Just paste a search URL and get clean, structured data in seconds.

🎯 What You Get

For every Swedish property listing, this scraper extracts:

• 🏠 Property details: type (Villa, Lägenhet, Radhus), rooms, living area (m²), land area, year built, floor, amenities
• 📍 Location data: address, neighborhood, city (kommun), county (län), distance to coast
• 💰 Financial info: asking price (SEK), price per m², monthly fees (Avgift), annual running costs (Driftskostnad)
• 👤 Agent contact: name, agency, phone, email
• 🖼️ Media & dates: high-res images, viewing dates (visningar), full description

🚀 Quick Start (60 seconds)

1. Click "Try for free" above
2. Choose your scraping mode:

• Search URL mode — paste any Hemnet search URL to scrape multiple properties

  {
    "searchUrl": "https://www.hemnet.se/bostader?location_ids[]=17744",
    "maxPages": 5
  }
  

• Direct URLs mode — paste specific property URLs to scrape individual listings

  {
    "propertyUrls": [
      "https://www.hemnet.se/bostad/villa-5rum-vate-gotlands-kommun-19397535",
      "https://www.hemnet.se/bostad/lagenhet-3rum-stockholm-19397536"
    ]
  }
  

3. Click "Start" and download results in JSON, CSV, or Excel

Input Parameters

Parameter	Type	Required	Description
searchUrl	String	No*	Hemnet search results URL
maxPages	Integer	No	Number of pages to scrape (default: 1, max: 50)
propertyUrls	Array	No*	Direct property URLs to scrape

*At least one of searchUrl or propertyUrls must be provided.

Output

Each property listing includes:

{
  "id": "19397535",
  "url": "https://www.hemnet.se/bostad/villa-5rum-vate-gotlands-kommun-19397535",
  "scraped_at": "2026-04-28T18:30:00.000Z",
  
  "location": {
    "address": "Väte Hässle 809",
    "neighborhood": "Väte",
    "city": "Gotlands kommun",
    "county": "Gotlands län",
    "distance_to_coast_m": 500
  },
  
  "property_details": {
    "title": "Villa i Väte",
    "type": "Villa",
    "tenure": "Äganderätt",
    "rooms": 5,
    "living_area_sqm": 120,
    "supplemental_area_sqm": 30,
    "land_area_sqm": 1500,
    "formatted_land_area": "1 500 m²",
    "year_built": 1985,
    "floor": "1/1",
    "amenities": ["Fiber", "Garage", "Förråd"],
    "is_new_construction": false
  },
  
  "financials": {
    "asking_price_sek": 3500000,
    "price_per_sqm": 29167,
    "monthly_fee_sek": null,
    "running_costs_year_sek": 25000
  },
  
  "agent": {
    "name": "Erik Svensson",
    "agency": "Svensk Fastighetsförmedling",
    "phone": "+46-8-555-1234",
    "email": "erik.svensson@svenskfast.se"
  },
  
  "content": {
    "description": "Charmig villa nära havet...",
    "viewing_dates": ["2026-05-01 10:00", "2026-05-03 14:00"],
    "images": [
      "https://bilder.hemnet.se/...",
      "https://bilder.hemnet.se/..."
    ]
  }
}

Complete Field Reference

Root Fields

Field	Type	Description
id	String	Unique Hemnet property ID
url	String	Full URL to the property listing on Hemnet.se
scraped_at	String (ISO 8601)	Timestamp when the property was scraped

Location Object

Field	Type	Description
location.address	String	Street address of the property
location.neighborhood	String	Neighborhood or area name (may include district hierarchy)
location.city	String	Municipality/city name
location.county	String	County (län) name
location.distance_to_coast_m	Integer/Null	Distance to nearest coastline in meters (null if not applicable)

Property Details Object

Field	Type	Description
property_details.title	String	Property listing title from Hemnet
property_details.type	String	Property type (Villa, Lägenhet, Radhus, Kedjehus, Parhus, etc.)
property_details.tenure	String	Ownership type: "Äganderätt" (freehold), "Bostadsrätt" (tenant-ownership), "Hyresrätt" (rental)
property_details.rooms	Float/Null	Number of rooms (e.g., 3.5 means 3 rooms + 1 small room)
property_details.living_area_sqm	Float/Null	Living area in square meters (Boarea/Boyta)
property_details.supplemental_area_sqm	Float/Null	Supplemental area in square meters (Biarea - e.g., attic, basement)
property_details.land_area_sqm	Float/Null	Land/plot area in square meters (Tomtarea)
property_details.formatted_land_area	String/Null	Human-readable land area (e.g., "1 500 m²", "2,5 hektar")
property_details.year_built	Integer/Null	Year the property was built
property_details.floor	String/Null	Floor information (e.g., "2/4" means 2nd floor out of 4)
property_details.amenities	Array	List of available amenities (Fiber, Garage, Balkong, Terrass, etc.)
property_details.is_new_construction	Boolean	True if the property is newly built/under construction

Financials Object

Field	Type	Description
financials.asking_price_sek	Integer/Null	Asking price in Swedish Kronor (SEK)
financials.price_per_sqm	Integer/Null	Price per square meter of living area (SEK/m²)
financials.monthly_fee_sek	Integer/Null	Monthly housing association fee (Avgift) - for Bostadsrätt properties
financials.running_costs_year_sek	Integer/Null	Estimated annual running costs (Driftskostnad) - for Villa/Radhus properties

Agent Object

Field	Type	Description
agent.name	String/Null	Real estate agent's full name
agent.agency	String/Null	Real estate agency name
agent.phone	String/Null	Agent's phone number (Swedish format)
agent.email	String/Null	Agent's email address

Content Object

Field	Type	Description
content.description	String/Null	Full property description text from the listing
content.viewing_dates	Array	List of scheduled open house dates in "YYYY-MM-DD HH:MM" format
content.images	Array	List of property image URLs (high-resolution)

Data Export Formats

All data can be downloaded in multiple formats:

• JSON - Complete structured data with all fields
• CSV - Tabular format (nested objects flattened)
• Excel - Spreadsheet with formatted columns
• HTML Table - Web-viewable table format

Use Cases

Real Estate Agencies

• Track competitor pricing
• Monitor market trends
• Generate comparative market analyses

Property Investors

• Find undervalued properties
• Track specific listings
• Analyze neighborhood data

Market Researchers

• Study Swedish housing market
• Price trend analysis
• Geographic market mapping

Tips for Best Results

1. Use specific search filters - Narrow your search on Hemnet.se before copying the URL
2. Monitor specific properties - Use direct URLs for properties you want to track over time
3. Export formats - Download results as JSON, CSV, Excel, or HTML table