Hemnet Scraper – Swedish Real Estate Listings & Sold Prices

Hemnet Scraper — Swedish Real Estate Listings & Sold Prices (Slutpriser)

Scrape Hemnet.se — Sweden's leading real estate marketplace — and export clean, structured property data in seconds. This Hemnet scraper extracts both active homes for sale (till salu) and historical sold prices (slutpriser): asking price, final sale price, price change amount and percentage, SEK/m², monthly BRF fee, room count, living area, plot area, street address, neighborhood, municipality, listing broker, real estate agency, high-resolution images, and GPS coordinates. No login, no coding, and zero maintenance.

Export your Swedish housing dataset directly to JSON, CSV, Excel, XML, RSS, or via the Apify API for automated valuation models (AVMs), PropTech applications, mortgage analytics, and real estate B2B intelligence.

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⚡ At a glance

Feature	Details
Target platform	Hemnet.se — Sweden real estate portal
Listing modes	Active homes For sale (forSale / till salu) and Sold prices (sold / slutpriser)
Property types	Apartments (bostadsratt), Houses (villa), Townhouses (radhus), Vacation homes (fritidshus), Land (tomt), Farms (gard), Other
Search inputs	Built-in Region dropdown (15 major Swedish municipalities), Start URLs, or free-text Location
Filter controls	Min/max price (SEK), min/max rooms, min/max living area (m²), sold-within window (1m, 3m, 12m, all)
Detail enrichment	Optional full property descriptions and image galleries (fetchDetails: true)
Pagination & scale	Automatic multi-page crawling (up to ~2,500 listings per search, unlimited across multiple regions/URLs) with 100% ID de-duplication
Output formats	JSON, CSV, Excel (XLSX), XML, RSS, and REST API

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📋 Table of contents

• Why scrape Hemnet?
• What this Hemnet scraper does
• Use cases
• Input configuration
• Output & field reference
• Pagination & 1,000+ scale
• How to use
• Pro tips for Swedish property data
• FAQ
• Related scrapers
• Changelog

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🔎 Why scrape Hemnet?

Hemnet is the central hub for buying and selling residential property in Sweden, capturing over 90% of all Swedish home transactions. Millions of buyers and sellers use it weekly, making Hemnet the single richest public repository of Swedish housing market intelligence — covering both live inventory on the market right now and a deep historical archive of verified final transaction prices (slutpriser).

However, Hemnet does not offer a public bulk export, spreadsheet download, or open developer API. Copying listings manually across Stockholm, Göteborg, Malmö, or Uppsala does not scale past a few dozen properties, and custom scripts require constant updates whenever the front-end changes. This Hemnet data extractor automates the entire workflow and delivers a normalized, de-duplicated dataset ready for analytics, BI dashboards, or machine-learning pipelines.

Key business outcomes

• 💰 Build Automated Valuation Models (AVMs) & CMAs — anchor property valuations on verified historical sold prices (finalPrice), square-meter pricing (squareMeterPrice), and bidding premiums (priceChangePercent).
• 📈 Track asking vs. final transaction prices — measure bidding heat across Swedish neighborhoods (area) and municipalities (municipality) over 1-month, 3-month, or 12-month windows.
• 🏦 Feed mortgage, underwriting & collateral risk models — supply banks, credit teams, and insurers with granular Swedish housing comparables and monthly association fees (fee).
• 🏘️ Benchmark agency & broker market share — analyze which real estate agencies (brokerAgency) and brokers (broker) dominate specific municipalities or price brackets.
• 🎯 Power PropTech & B2B lead generation — discover newly listed properties and active real estate agents for relocation, renovation, mortgage, and B2B software outreach.
• 🗺️ Run geospatial housing analysis — plot inventory density, SEK/m² heatmaps, and yield potential using exact latitude and longitude coordinates.

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✨ What this Hemnet scraper does

• ✅ Two complete datasets in one actor — switch seamlessly between homes for sale (forSale / till salu) and historical sold prices (sold / slutpriser) with final transaction amounts and bidding deltas.
• ✅ Zero-friction Swedish region selector — pick from Sweden's top municipalities in the Region dropdown (Stockholm, Göteborg, Malmö, Uppsala, Västerås, Örebro, Linköping, Helsingborg, Norrköping, Jönköping, Lund, Umeå, Mölndal, Halmstad, Södertälje), enter a free-text city name, or paste any Hemnet search URL.
• ✅ Granular property & price filtering — filter by dwelling category (bostadsratt, villa, radhus, fritidshus, tomt, gard), price floor/ceiling in SEK, room count range, living area in m², and sold-date window (1m, 3m, 12m, all).
• ✅ Deep 1,000+ result pagination & de-duplication — walks result pages automatically (?page=1, ?page=2, …) governed by your maxItems target, de-duplicating every record by its canonical Hemnet id.
• ✅ Normalized financial & structural metrics — outputs numeric askingPrice, finalPrice, priceChange, priceChangePercent, squareMeterPrice, fee, livingArea, supplementalArea, and plotArea ready for immediate math in Excel, SQL, or Python.
• ✅ Optional full-detail enrichment — enable fetchDetails: true to visit each individual listing page and extract the complete property description and full images gallery array.
• ✅ Smart cost-optimized proxy routing — automatically pairs fast datacenter requests with Swedish residential fallback when needed, keeping runs fast, reliable, and cost-effective.

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🎯 Use cases

Audience	How they use Hemnet data
🏦 Real Estate Investors & Funds	Track sold prices (slutpriser) vs. asking prices across Swedish districts, spot undervalued submarkets, and model acquisition yields.
💻 PropTech Startups & Portals	Power consumer valuation tools, home-search alerts, and neighborhood comparison apps with live Swedish property feeds.
📊 Market Researchers & Economists	Quantify housing supply, SEK/m² trends, BRF monthly fee inflation, and bidding-war intensity across Sweden's municipalities.
🏘️ Real Estate Agencies & Brokers	Automate comparative market analysis (CMA) packs for sellers and track competing agency inventory in real time.
💳 Mortgage Lenders & FinTechs	Validate property collateral values against recent neighborhood sales and factor monthly BRF fees (fee) into affordability models.
🎯 B2B Sales & Lead Generation	Extract active brokers (broker) and agencies (brokerAgency) alongside new property listings for targeted B2B outreach.

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📥 Input configuration

Configure your run via the Apify Console UI or pass a JSON payload through the API. All fields are optional — running with an empty input {} automatically collects a fast, diverse sample across Sweden's three largest housing markets (Stockholm, Göteborg, and Malmö).

Field	Type	Default	Description
listingType	string	"forSale"	Choose "forSale" (homes currently on the market / till salu) or "sold" (historical sold prices / slutpriser).
region	array	[]	Select one or more Swedish municipalities from the dropdown (Stockholm, Göteborg, Malmö, Uppsala, Lund, etc.). Leave empty for a nationwide sample.
propertyTypes	array	[]	Filter by dwelling type: "bostadsratt", "villa", "radhus", "fritidshus", "tomt", "gard", "other". Empty = all types.
soldAge	string	"12m"	Time window for sold properties: "1m" (last month), "3m" (last 3 months), "12m" (last 12 months), or "all" (all time). Ignored when listingType is "forSale".
priceMin	integer	—	Minimum price in Swedish kronor (SEK).
priceMax	integer	—	Maximum price in Swedish kronor (SEK).
roomsMin	integer	—	Minimum number of rooms.
roomsMax	integer	—	Maximum number of rooms.
livingAreaMin	integer	—	Minimum living area (boarea) in square meters (m²).
livingAreaMax	integer	—	Maximum living area (boarea) in square meters (m²).
fetchDetails	boolean	false	Visit each property's detail page to also extract the full text description and images array. Keep false for fast, high-volume list scraping.
maxItems	integer	0 (prefill 100)	Maximum number of properties to collect across the run (0 = unlimited).
maxPagesPerSearch	integer	0	Maximum result pages to crawl per search (0 = automatic / unlimited, governed by maxItems). A single Hemnet search serves up to 50 pages (~2,500 properties).
location	string	—	Optional free-text location name (e.g. "Visby", "Kiruna", "Kalmar"). Automatically resolved to a Hemnet location ID.
startUrls	array	[]	Advanced: paste one or more search URLs copied directly from hemnet.se (/bostader?... or /salda/bostader?...). Automatically detects for-sale vs. sold mode.
proxyConfiguration	object	Apify Proxy	Proxy configuration. Leave on Apify Proxy for automatic fast datacenter + Swedish residential fallback.

Example 1 — Apartments for sale in Stockholm (1,000+ deep crawl)

{
  "listingType": "forSale",
  "region": ["17744"],
  "propertyTypes": ["bostadsratt"],
  "priceMin": 2000000,
  "priceMax": 8000000,
  "roomsMin": 2,
  "maxItems": 1000,
  "maxPagesPerSearch": 0
}

Example 2 — Historical sold houses (slutpriser) in Göteborg & Malmö

{
  "listingType": "sold",
  "region": ["17920", "17989"],
  "propertyTypes": ["villa", "radhus"],
  "soldAge": "12m",
  "maxItems": 1500
}

Example 3 — Custom Hemnet search URL with full property descriptions

{
  "startUrls": [
    { "url": "https://www.hemnet.se/salda/bostader?location_ids%5B%5D=17744&item_types%5B%5D=bostadsratt&sold_age=3m" }
  ],
  "fetchDetails": true,
  "maxItems": 200
}

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📤 Output & field reference

Each scraped property is stored as a structured JSON object in the Apify Dataset. All records share a unified schema across "forSale" and "sold" runs so you can load them into SQL tables, Pandas DataFrames, or BI tools without schema drift.

Sample output — Sold apartment (listingType: "sold")

{
  "listingType": "sold",
  "id": "21777507",
  "url": "https://www.hemnet.se/salda/lagenhet-2rum-ostermalm-stockholms-kommun-jungfrugatan-11-517326341071314857",
  "propertyType": "Lägenhet",
  "address": "Jungfrugatan 11",
  "area": "Östermalm, Stockholms kommun",
  "municipality": "Stockholms kommun",
  "county": null,
  "askingPrice": 5995000,
  "finalPrice": 7260000,
  "priceChange": 1265000,
  "priceChangePercent": 21,
  "squareMeterPrice": 154468,
  "fee": 1865,
  "rooms": "2 rum",
  "livingArea": 47,
  "supplementalArea": null,
  "plotArea": null,
  "floor": null,
  "constructionYear": null,
  "publishedAt": null,
  "soldDate": "2026-11-01",
  "broker": "Alexander Brito",
  "brokerAgency": "Behrer & Partners",
  "latitude": 59.3370697,
  "longitude": 18.081687,
  "thumbnail": "https://bilder.hemnet.se/images/itemgallery_cut/...",
  "scrapedAt": "2026-11-02T00:00:00.000Z"
}

Sample output — Active listing (listingType: "forSale")

{
  "listingType": "forSale",
  "id": "21906349",
  "url": "https://www.hemnet.se/bostad/lagenhet-2rum-bredang-malarhojden-stockholms-kommun-algrytevagen-31-21906349",
  "propertyType": "Lägenhet",
  "address": "Ålgrytevägen 31",
  "area": "Bredäng - Mälarhöjden, Stockholms kommun",
  "municipality": "Stockholms kommun",
  "county": null,
  "askingPrice": 2495000,
  "finalPrice": null,
  "priceChange": null,
  "priceChangePercent": null,
  "squareMeterPrice": 50918,
  "fee": 3862,
  "rooms": "2 rum",
  "livingArea": 49,
  "supplementalArea": null,
  "plotArea": null,
  "floor": "vån 5/7",
  "constructionYear": null,
  "publishedAt": "2026-10-25",
  "soldDate": null,
  "broker": "Yousif Gorges",
  "brokerAgency": "HusmanHagberg Hägersten",
  "latitude": 59.2984962,
  "longitude": 17.9413223,
  "thumbnail": "https://bilder.hemnet.se/images/itemgallery_cut/...",
  "scrapedAt": "2026-11-02T00:00:00.000Z"
}

Field reference by category

🏷️ Identity & classification

Field	Type	Coverage	Description
id	string	🟢 High (~100%)	Unique Hemnet listing or sale ID (natural primary key used for de-duplication).
listingType	string	🟢 High (100%)	"forSale" (active listing) or "sold" (historical sold record).
url	string	🟢 High (100%)	Direct canonical URL to the property or sold-price page on hemnet.se.
propertyType	string	🟢 High (~100%)	Swedish dwelling category (e.g., Lägenhet, Villa, Radhus, Fritidshus, Tomt, Gård).
scrapedAt	string	🟢 High (100%)	ISO 8601 UTC timestamp indicating when the record was collected.

💰 Pricing, bidding & association fees

Field	Type	Coverage	Description
askingPrice	number | null	🟢 High (~99%)	Listed asking price (utgångspris) in SEK. null only on "price on request" listings.
finalPrice	number | null	🟡 Conditional	Final transaction price (slutpris) in SEK — populated (~100%) when listingType: "sold".
priceChange	number | null	🟡 Conditional	Difference between finalPrice and askingPrice in SEK (finalPrice - askingPrice) — sold listings.
priceChangePercent	number | null	🟡 Conditional	Percentage difference between asking and final sale price (e.g., 21 = +21%) — sold listings.
squareMeterPrice	number | null	🟢 High (~95%)	Price per square meter (kr/m²) in SEK.
fee	number | null	🟡 Conditional	Monthly housing association (BRF) fee (avgift) in SEK — populated for apartments (bostadsrätt) and cooperative townhouses.

📐 Dimensions & building specs

Field	Type	Coverage	Description
rooms	string | null	🟢 High (~96%)	Room count formatted as published (e.g., "2 rum", "4,5 rum").
livingArea	number | null	🟢 High (~98%)	Primary living area (boarea) in square meters (m²).
supplementalArea	number | null	🟡 Conditional	Supplemental / secondary area (biarea) in m² — mainly houses and townhouses.
plotArea	number | null	🟡 Conditional	Land / plot surface (tomtarea) in m² — populated for houses, vacation homes, farms, and plots.
floor	string | null	🟡 Conditional	Apartment floor level and total building floors (e.g., "vån 5/7").
constructionYear	string | null	🟡 Conditional	Building construction year when exposed on the listing.

📍 Location & geospatial coordinates

Field	Type	Coverage	Description
address	string | null	🟢 High (~100%)	Street address or property name (e.g., "Jungfrugatan 11").
area	string | null	🟢 High (~100%)	Neighborhood / district label, usually including the municipality.
municipality	string | null	🟢 High (~100%)	Swedish municipality (kommun), e.g., "Stockholms kommun".
county	string | null	🟡 Conditional	Swedish county (län) when present on the record.
latitude	number | null	🟢 High (~99%)	WGS84 GPS latitude coordinate.
longitude	number | null	🟢 High (~99%)	WGS84 GPS longitude coordinate.

🤝 Broker, dates & media

Field	Type	Coverage	Description
broker	string | null	🟡 Conditional	Name of the listing real estate agent (mäklare) when published on the card.
brokerAgency	string | null	🟢 High (~98%)	Real estate agency / brokerage office (mäklarbyrå).
publishedAt	string | null	🟡 Conditional	Publication date (YYYY-MM-DD) — populated for active forSale listings.
soldDate	string | null	🟡 Conditional	Sale date (YYYY-MM-DD) — populated for sold listings.
thumbnail	string | null	🟢 High (~98%)	Primary property image URL on bilder.hemnet.se.
description	string	🟡 Detail mode	Full property description text — added when fetchDetails: true.
images	array	🟡 Detail mode	Array of high-resolution gallery image URLs (up to 60) — added when fetchDetails: true.

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🔁 Pagination & 1,000+ scale

This Hemnet scraper is engineered for deep, multi-page extraction:

1. Automatic page traversal: Every search walks ?page=1, ?page=2, ?page=3… (~50 properties per page) automatically until your maxItems target is reached or the search has no further pages.
2. Unlocked maxPagesPerSearch: 0 default: By default, maxPagesPerSearch is 0 (unlimited / automatic), so setting maxItems: 1000 or maxItems: 5000 automatically paginates as deep as needed without hitting artificial page caps.
3. Cross-search de-duplication: Every property is tracked in an in-memory Set keyed by its Hemnet id, ensuring 0 duplicate records even when overlapping regions or URLs are combined.
4. Scaling past Hemnet's 2,500-result per-search limit: Hemnet caps any single search query at 50 pages (~2,500 properties). To extract 5,000, 10,000, or 50,000+ properties in a single run:
   • Select multiple municipalities in the region array (e.g., Stockholm + Göteborg + Malmö + Uppsala + Lund), or
   • Paste multiple filtered search URLs (sliced by municipality, property type, or price bracket) into startUrls.

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⚙️ How to use

1. Open the actor in the Apify Console.
2. Select listingType — pick For sale (till salu) for live inventory or Sold prices (slutpriser) for historical transaction data.
3. Choose your target area — pick one or more Swedish cities from the Region dropdown, type a city in Location, or paste custom URLs into Start URLs.
4. Set filters & volume — optionally filter by propertyTypes, priceMin/priceMax, roomsMin/roomsMax, livingAreaMin/livingAreaMax, and set maxItems (e.g., 100, 1000, or 0 for all available).
5. Click Start — watch structured property records stream into the Dataset in real time.
6. Export or integrate — download as JSON, CSV, Excel, XML, or RSS, or consume the dataset via the Apify REST API, Python/JS SDKs, Make, Zapier, n8n, Google Sheets, or webhooks.

Calling via the Apify API (Node.js)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('haketa/hemnet-scraper').call({
    listingType: 'sold',
    region: ['17744', '17920'],
    propertyTypes: ['bostadsratt'],
    soldAge: '12m',
    maxItems: 1000,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Retrieved ${items.length} Swedish property records.`);

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💡 Pro tips for Swedish property data

• 🔗 Use Start URLs for micro-neighborhoods or custom polygons: Open hemnet.se, select any specific street, district (e.g. Södermalm, Östermalm, Linnéstaden), or custom filter combination, copy the URL from your browser address bar, and paste it into startUrls.
• 💰 Combine forSale and sold runs for AVM & yield modeling: Run two jobs with identical region and propertyTypes — one with listingType: "forSale" and one with listingType: "sold" (soldAge: "3m" or "12m") — to compare current asking SEK/m² against realized transaction SEK/m².
• ⚡ Keep fetchDetails: false for large market sweeps: All pricing, area, room, fee, location, broker, and coordinate fields are extracted directly from the search pages at high speed. Enable fetchDetails: true only when you specifically need the full text description and full photo gallery.
• 📅 Schedule recurring runs: Pair the actor with Apify Schedules (daily or weekly) to track newly listed homes, monitor price adjustments, and maintain a rolling database of Swedish slutpriser.

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❓ FAQ

Does this scraper extract both active listings and sold prices (slutpriser)?

Yes. Set listingType to "forSale" for active properties on the market, or "sold" to extract historical sold properties with finalPrice, priceChange, priceChangePercent, and soldDate.

How many properties can I extract in a single run?

You can collect hundreds to tens of thousands of properties per run. Set maxItems: 1000 (or 0 for unlimited) and maxPagesPerSearch: 0. Because Hemnet limits any single search query to 50 pages (~2,500 listings), pass multiple regions or multiple startUrls to collect 5,000+ records in one job.

Do I need a Hemnet account or special proxies?

No login or account is needed. Leave proxyConfiguration on the default Apify Proxy — the actor automatically manages IP selection to keep runs fast and reliable.

Why is askingPrice occasionally null?

A small percentage of luxury or new-development listings on Hemnet are published as "Pris på förfrågan" (price on request) without a numeric asking price.

Can I scrape commercial properties, plots, or farms?

Yes. In propertyTypes, select "tomt" (plots/land), "gard" (farms/estates), "fritidshus" (vacation homes), or "other" — or paste any specialized Hemnet search URL into startUrls.

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🔗 Related scrapers

Building a Nordic or European real estate intelligence pipeline? Combine Hemnet Scraper with our other property extractors:

• 🇩🇰 Boliga Scraper — Danish property listings and historical sold prices.
• 🇧🇪 Immoweb Scraper — Belgium's #1 real estate portal (for sale & rent across Flanders, Wallonia, and Brussels).
• 🇩🇪 ImmobilienScout24 Scraper — Germany's largest real estate marketplace.
• 🇮🇱 Yad2 Scraper — Israel real estate and classifieds listings.
• 🇧🇷 ZAP Imóveis Scraper — Brazilian residential and commercial property listings.
• 🇦🇺 Domain.com.au Scraper — Australian property listings and auction results.

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📋 Changelog

v1.2 (2026-11)

• Unlocked 1,000+ deep pagination: Changed maxPagesPerSearch default to 0 (automatic/unlimited, governed by maxItems) and removed the artificial 100-item clamp when maxItems > 100 is specified on nationwide runs.
• Documentation & schema upgrade: Added comprehensive field coverage tables, multi-region scaling guide, and updated input descriptions.

v1.1 (2026-10)

• Next.js App Router support: Added full parsing for Hemnet's RSC flight stream alongside legacy state payloads for 100% field continuity across both active (ListingCard) and sold (SaleCard) listings.
• De-duplication improvement: Preserved internal IDs on older expired sold cards so every historical sale record is retained.

v1.0 (2026-05)

• Initial release supporting Swedish homes for sale (till salu), sold prices (slutpriser), region selector, property filters, and optional detail enrichment.