Finn.no Real Estate Scraper

Scrape property listings from Finn.no — Norway's largest real estate marketplace with 60,000+ active listings. Returns 30+ structured fields per listing: asking price, total price, collective debt, area, floor, construction year, energy label, GPS coordinates, viewing dates and more.

No API key required.

---

Why this scraper?

⚡ Structured data — not raw HTML

Listing data is extracted directly from Finn.no's embedded page state, giving you clean, typed values without fragile HTML parsing.

🏠 30+ fields per listing

Price, collective debt, monthly fees, area, rooms, floor, construction year, energy label, GPS coordinates, viewing schedule, housing cooperative name, and full description — all in one dataset row.

📍 National coverage

Oslo, Bergen, Trondheim, Stavanger and all Norwegian municipalities. Search by city name — no numeric IDs needed. Covers all major property categories: homes, plots, leisure homes, new builds and commercial.

💰 Pay only for what you scrape

No monthly subscriptions. Pay per result — typical runs cost a fraction of flat-rate scraping tools.

---

Input parameters

Parameter	Type	Default	Description
locations	array of strings	(all Norway)	City or municipality names to search, e.g. ["Oslo"] or ["Bergen", "Stavanger"]. Leave empty for national results.
propertyCategory	string	homes	Category: homes, newbuildings, plots, leisureplots, leisurehomes, businesssale, abroad
minPrice	integer	—	Minimum asking price in NOK. Leave empty for no minimum.
maxPrice	integer	—	Maximum asking price in NOK. Leave empty for no maximum.
daysOld	integer	—	Only return listings published within the last N days. Leave empty for no recency filter.
maxItems	integer	100	Maximum number of listings to return
fetchDetails	boolean	true	Fetch each listing's detail page for 20+ additional fields (rooms, floor, lat/lng, etc.). Disable for list-only mode.
startUrls	array	—	Direct Finn.no real estate search URLs. Overrides propertyCategory and locations.

Searching by location

Enter any Norwegian city or municipality name directly — no numeric IDs needed:

{
  "locations": ["Oslo"],
  "propertyCategory": "homes",
  "maxItems": 200
}

For multi-city runs, pass multiple names:

{
  "locations": ["Bergen", "Stavanger", "Sandnes"],
  "propertyCategory": "homes",
  "maxItems": 500
}

Leave locations empty (or omit it) to search all of Norway.

Price and recency filters

{
  "locations": ["Oslo"],
  "minPrice": 3000000,
  "maxPrice": 8000000,
  "daysOld": 7,
  "maxItems": 100
}

---

Output schema

Each item in the dataset contains:

{
  "id":              "461993507",
  "url":             "https://www.finn.no/realestate/homes/ad.html?finnkode=461993507",

  "propertyType":    "Leilighet",
  "ownershipType":   "Andel",
  "adViewTypeLabel": "Bolig til salgs",
  "transaction":     "sale",

  "title":           "Lys 1R mot indre gårdsrom | Felles balkong og takterrasse",
  "localAreaName":   "Bislett stadion",
  "description":     "Effektiv og arealsmart 1-roms med rikelig dagslys...",

  "priceAmount":     2490000,
  "totalPrice":      2651307,
  "collectiveDebt":  150000,
  "priceCurrency":   "NOK",
  "monthlyFee":      2904,

  "rooms":           1,
  "bedrooms":        0,
  "floor":           2,
  "constructionYear": 1997,

  "areaM2":          15,
  "primaryAreaM2":   15,
  "plotAreaM2":      null,
  "plotOwned":       null,

  "energyLabel":     "D",

  "streetAddress":   "Dalsbergstien 22A",
  "postalCode":      "0170",
  "city":            "Oslo",
  "country":         "NO",
  "latitude":        59.92263769335697,
  "longitude":       10.734218269524776,

  "cooperativeName": "BORETTSLAGET DALSBERGSTIEN 22 A",
  "agencyName":      "&Partners Grünerløkka",

  "images": [
    "https://images.finncdn.no/dynamic/default/2026/5/vertical-2/...",
    "https://images.finncdn.no/dynamic/default/2026/5/vertical-2/..."
  ],

  "viewingDates":    ["2026-05-10 13:30"],

  "source":          "finn.no",
  "scrapedAt":       "2026-05-06T10:30:00.000Z",
  "contentHash":     "a3f2c1d890e4b567"
}

Field reference

Field	Type	Notes
id	string	Finn.no finnkode (unique listing ID)
url	string	Direct listing URL
propertyType	string	e.g. Leilighet, Enebolig, Rekkehus
ownershipType	string	Andel, Selveier, Aksje, Obligasjon
transaction	string	Always sale
title	string	Full listing headline
localAreaName	string	Nearest landmark or neighbourhood name
description	string	Plain-text description (from detail page)
descriptionMarkdown	string	Description in Markdown/plain text.
priceAmount	integer	Asking price in NOK
totalPrice	integer	Total price incl. costs in NOK
collectiveDebt	integer	Collective debt (fellesgjeld) in NOK
priceCurrency	string	Always NOK
monthlyFee	integer	Monthly housing fee (felleskostnader) in NOK
rooms	integer	Total number of rooms
bedrooms	integer	Number of bedrooms
floor	integer	Floor number
constructionYear	integer	Year the property was built
areaM2	number	Usable area in m²
primaryAreaM2	number	Primary area in m²
plotAreaM2	number	Plot area in m² (houses/plots only)
plotOwned	boolean	Whether the plot is owned (vs. leasehold)
energyLabel	string	Energy rating: A–G
streetAddress	string	Street address
postalCode	string	Norwegian postal code
city	string	City/municipality name
country	string	Always NO
latitude	number	GPS latitude
longitude	number	GPS longitude
cooperativeName	string	Housing cooperative name (borettslag/sameie)
agencyName	string	Real estate agency name
images	array	Full-resolution image URLs (finncdn.no)
viewingDates	array	Scheduled viewing dates (ISO date + time)
source	string	Always finn.no
scrapedAt	string	ISO 8601 timestamp
contentHash	string	MD5 hash for change detection

---

Examples

Basic search:

{
  "maxItems": 100
}

Broad crawl with a cap:

{
  "maxItems": 1000
}

Daily feed (run on a schedule):

{
  "maxItems": 500,
  "daysOld": 1
}

Schedule the last input in the Apify Scheduler (for example daily at 07:00) to keep an always-fresh feed.

---

Smaller test run:

{
  "maxItems": 25
}

Pricing

$1.50 per 1,000 results — pay only for what you extract.

Volume	Cost
1,000 results	$1.50
10,000 results	$15.00
50,000 results	$75.00

List-only mode (fetchDetails: false): each page fetch covers 50 listings — ideal for high-volume monitoring at lowest cost. Detail mode (fetchDetails: true, default): one additional request per listing for the full 30+ field dataset.

---

Performance

Run size	Typical time
100 results	under 1 minute
1,000 results	2–4 minutes
10,000 results	20–35 minutes

---

Known limitations

• Rental listings: this scraper targets the sales vertical (/realestate/homes). Finn.no rental listings are a separate vertical not covered here
• New builds: project-level listings may have different field availability; individual unit data is returned when available
• Abroad listings: the abroad category uses a different page structure; some fields may not be populated

---

Technical details

• Location: Norway
• Platform: Finn.no (Vend AS)
• Output format: JSON (Apify Dataset)
• Authentication: Not required
• Default memory: 1,024 MB

Related scrapers

Other scrapers in our Real Estate — Nordics collection:

• Boliga.dk Scraper
• Home.dk Denmark Real Estate Scraper

---

Run it on a schedule

This actor is built for repeat use. Set it to run daily, weekly, or hourly, and the data keeps flowing without you touching it.

• Schedule runs — open the actor, go to Schedules, and pick a cadence. Each run only charges you for the results it returns.
• Connect it to your stack — push results straight to Google Sheets, Slack, a webhook, or your database using Apify Integrations. No glue code needed.
• Pull results via API — every run writes a clean dataset you can fetch with one API call, ready for whatever you build on top of it.

Set it once and it runs on its own.

---

Need a custom scraper?

Unfenced Group builds Apify actors for any website — for free.

If the site you need isn't in our portfolio yet, just ask. We scope, build, and publish it at no cost to you. You only pay for results — we absorb the compute and proxy costs ourselves. Same pay-per-result pricing, same quality, same standards as every actor in this portfolio.

Get in touch: www.unfencedgroup.nl