Hemnet.se Property Scraper

Extract structured property listing data from Hemnet.se with high coverage and clean output. Collect pricing, location, broker, media, and listing metadata in a single run. This actor is built for market research, lead generation, portfolio tracking, and real estate intelligence workflows.

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Features

• For-sale listing extraction — Collect active properties from Hemnet search pages.
• Rich listing attributes — Capture price, area, rooms, coordinates, agency details, and listing labels.
• Flexible search control — Start from a plain /till-salu URL or a pre-filtered Hemnet search URL.
• Pagination support — Continue through result pages until your target count is reached.
• Clean structured dataset — Receive normalized output ready for analysis and automation.

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Use Cases

Real Estate Market Monitoring

Track newly listed properties, pricing changes, and area-level supply trends over time. Build recurring snapshots for data-driven decision making.

Lead Discovery For Agencies

Collect property and broker context for sales outreach, partnership opportunities, and local market mapping.

Investment Screening

Identify listings that match your preferred budget, area profile, and property characteristics for acquisition analysis.

Pricing Analysis

Compare asking prices, monthly fees, and square meter pricing across neighborhoods and property categories.

Data Pipelines And Dashboards

Feed listing data into BI dashboards, analytics tools, and reporting workflows with predictable field structure.

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Input Parameters

Parameter	Type	Required	Default	Description
startUrl	String	No	"https://www.hemnet.se/till-salu"	Hemnet start page or pre-filtered search URL.
keyword	String	No	""	Optional keyword filter.
location	String	No	""	Optional location slug fallback.
sort	String	No	"NEWEST"	Sort mode for results.
results_wanted	Integer	No	20	Maximum number of listings to collect.
max_pages	Integer	No	10	Maximum pages to process.
proxyConfiguration	Object	No	{ "useApifyProxy": false }	Optional proxy settings for request reliability.

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Output Data

Each dataset item contains listing-level structured fields.

Field	Type	Description
id	String	Unique listing ID.
slug	String	Listing slug.
url	String	Full listing URL.
street_address	String	Property street address.
location_description	String	Area and municipality text.
asking_price	String	Listing asking price.
fee	String	Monthly fee when available.
rooms	String	Room count text.
living_and_supplemental_areas	String	Area information.
land_area	String	Land size when available.
square_meter_price	String	Price per square meter.
broker_name	String	Broker full name.
broker_agency_name	String	Agency name.
broker_agency_logo	String	Agency logo URL.
broker_thumbnail	String	Broker image URL.
lat	Number	Latitude coordinate.
lon	Number	Longitude coordinate.
housing_form_symbol	String	Housing form code.
housing_form_name	String	Housing form label.
labels	Array	Listing labels and tags.
showings	Array	Showing schedule values.
thumbnails	Array	Listing image URLs.
active_package	String	Listing package tier.
new_construction	Boolean	New construction flag.
project_id	String	Project identifier when present.
record_type	String	Listing record type.
removed_before_showing	Boolean	Removed-before-showing flag.
saved	Boolean	Saved status.
upcoming	Boolean	Upcoming status.
published_at	String	Publication timestamp value.
published_at_iso	String	Publication timestamp in ISO format.

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Usage Examples

Basic Extraction

{
  "startUrl": "https://www.hemnet.se/till-salu",
  "results_wanted": 20
}

Filtered Search URL

{
  "startUrl": "https://www.hemnet.se/till-salu?location_ids%5B%5D=17744&housing_form_groups%5B%5D=apartments",
  "sort": "HIGHEST_PRICE",
  "results_wanted": 50,
  "max_pages": 5
}

Large Collection Run

{
  "startUrl": "https://www.hemnet.se/till-salu",
  "sort": "NEWEST",
  "results_wanted": 200,
  "max_pages": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

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Sample Output

{
  "id": "21577475",
  "slug": "lagenhet-1rum-luthagen-uppsala-kommun-geijersgatan-23b-21577475",
  "url": "https://www.hemnet.se/bostad/lagenhet-1rum-luthagen-uppsala-kommun-geijersgatan-23b-21577475",
  "street_address": "Geijersgatan 23B",
  "location_description": "Luthagen, Uppsala kommun",
  "asking_price": "1 750 000 kr",
  "fee": "4 072 kr/mån",
  "rooms": "1 rum",
  "living_and_supplemental_areas": "41 m²",
  "square_meter_price": "42 683 kr/m²",
  "broker_name": "Martin Boholm",
  "broker_agency_name": "Notar",
  "lat": 59.86144,
  "lon": 17.617485,
  "housing_form_symbol": "APARTMENT",
  "housing_form_name": "Lägenhet",
  "labels": [
    { "text": "Premium", "identifier": "PREMIUM", "category": "PRODUCT" }
  ],
  "thumbnails": [
    "https://bilder.hemnet.se/images/itemgallery_cut/example.jpg"
  ],
  "record_type": "COMMON",
  "published_at_iso": "2026-03-06T10:31:49.000Z"
}

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Tips For Best Results

Use Real Search URLs

Start from a Hemnet URL that already matches your area or property preferences to reduce filtering work later.

Begin With Small Runs

Use results_wanted: 20 first to validate output quickly before scaling to larger collections.

Control Runtime With max_pages

Set a sensible page cap for predictable runtime and dataset size.

Choose Sort Intentionally

Use sorting aligned with your use case, such as NEWEST for monitoring or LOWEST_PRICE for affordability scans.

Use Proxy For Heavy Runs

For large or frequent runs, proxy usage can improve consistency.

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Integrations

Connect your dataset with:

• Google Sheets — Build shareable listing trackers.
• Airtable — Organize and filter property pipelines.
• Make — Automate enrichment and notifications.
• Zapier — Trigger workflows from new dataset items.
• Webhooks — Send results into custom systems.

Export Formats

• JSON — Best for APIs and engineering workflows.
• CSV — Best for spreadsheet analysis.
• Excel — Best for business reporting.
• XML — Best for legacy integrations.

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Frequently Asked Questions

How many listings can I collect?

You can collect large batches. Practical limits depend on your input settings and runtime constraints.

Can I scrape filtered pages?

Yes. Use a Hemnet URL that already includes filters and sorting options.

What if some fields are missing?

Some listings naturally omit optional information. Missing values are returned as null or empty arrays where applicable.

Does it support pagination?

Yes. The actor paginates through result pages until results_wanted or max_pages is reached.

Can I run it on a schedule?

Yes. You can schedule recurring runs in Apify to monitor market changes over time.

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Support

For issues or feature requests, use the Apify Console issue channels tied to this actor.

Resources

• Apify Documentation
• Apify API Reference
• Scheduling Runs

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Legal Notice

This actor is intended for legitimate data collection and analysis. You are responsible for complying with applicable laws and the target website terms for your jurisdiction and use case.