Hemnet Scraper - Swedish Real Estate Listings & Prices
Pricing
Pay per usage
Hemnet Scraper - Swedish Real Estate Listings & Prices
Scrape real estate listings from Hemnet.se — Sweden's #1 property portal with 90%+ market coverage. Get prices, addresses, property details, monthly fees, and agent info. No login or cookies required.
Pricing
Pay per usage
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Developer
Studio Amba
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2 days ago
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Hemnet Scraper
Scrape real estate listings from Hemnet.se — Sweden's largest property portal with over 90% market coverage. Extract prices, addresses, property details, monthly fees, and agent information. No login or cookies required.
What does Hemnet Scraper do?
This actor extracts structured data from Hemnet.se, Sweden's dominant property marketplace where over 90% of all property sales are listed. It scrapes listing search results and returns clean, structured JSON data including asking prices, property attributes, monthly fees (avgift), agent information, and images. Run it via the Apify API, schedule recurring scrapes, or integrate with 1,000+ apps.
Why use Hemnet Scraper?
- Real estate market research — Track Swedish property prices, trends, and inventory by city or region
- Investment analysis — Compare asking prices, price per m2, and monthly fees across neighborhoods
- Competitive intelligence — Monitor agent activity and listing volumes for real estate agencies
- Data journalism — Build datasets for housing market reporting with reliable, structured data
- Academic research — Study housing affordability, urban development, and market dynamics
How to use Hemnet Scraper
- Click Try for free to open the actor in Apify Console
- Set your search criteria (location, property type, price range)
- Click Start to run the scraper
- Download your data as JSON, CSV, Excel, or connect via API
Input
| Field | Type | Required | Description |
|---|---|---|---|
location | String | No | City or region (e.g., stockholm, goteborg, malmo, uppsala). Leave empty for all Sweden. |
propertyType | String | No | Filter: apartment, house, townhouse, vacation, land |
minPrice | Integer | No | Minimum asking price in SEK |
maxPrice | Integer | No | Maximum asking price in SEK |
minRooms | Integer | No | Minimum number of rooms |
maxRooms | Integer | No | Maximum number of rooms |
maxResults | Integer | No | Maximum listings to return (default: 100) |
proxyConfiguration | Object | No | Proxy settings (recommended for large runs) |
Supported locations
Major Swedish cities and regions: Stockholm, Goteborg, Malmo, Uppsala, Linkoping, Vasteras, Orebro, Norrkoping, Helsingborg, Jonkoping, Lund, Umea, Gavle, Sundsvall, Karlstad, Vaxjo, Kalmar, Lulea, Halmstad, and all 21 Swedish counties (lan).
Output
Each result contains:
| Field | Type | Example |
|---|---|---|
title | String | "Storgatan 15" |
price | Number | 3500000 |
currency | String | "SEK" |
listingType | String | "sale" |
propertyType | String | "apartment" |
address | String | "Storgatan 15" |
city | String | "Stockholms kommun" |
area | String | "Sodermalm" |
rooms | Number | 3 |
surface | Number | 85.5 |
fee | Number | 4200 |
buildYear | Number | 1925 |
agencyName | String | "Svensk Fastighetsformedling" |
imageUrl | String | Primary listing image URL |
url | String | Full listing URL on Hemnet |
scrapedAt | String | ISO 8601 timestamp |
Example output
{"title": "Sodervaegen 48","price": 3500000,"currency": "SEK","listingType": "sale","propertyType": "apartment","address": "Sodervaegen 48","city": "Taeby kommun","area": "Viggbyholm","rooms": 3,"surface": 85.5,"fee": 6058,"buildYear": null,"agencyName": "Jagholm Norrortsmaeklarma","agencyUrl": "","imageUrl": "https://bilder.hemnet.se/images/...","url": "https://www.hemnet.se/bostad/lagenhet-3rum-...","scrapedAt": "2026-04-06T20:16:00.841Z"}
You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.
How much does it cost to scrape Hemnet?
This actor uses approximately 0.05 compute units per 100 results. At standard Apify pricing, scraping 1,000 listings costs roughly $0.25. The free Apify tier gives you enough credits to scrape several thousand listings per month.
Tips
- Use proxy for large runs (500+ results) to avoid rate limiting
- Filter by property type to reduce noise and get more targeted data
- Schedule daily runs to track new listings and price changes over time
- Combine with the Apify API to build automated real estate monitoring pipelines
Limitations
- Build year is not available on listing cards (only on detail pages)
- Agency URL is not shown in search results
- Hemnet limits search results to approximately 2,500 listings per query — use more specific filters to get complete coverage
- Data is scraped from the public website and may change without notice
- This actor does not require login or cookies to operate