Finn.no Scraper — Norwegian Property Listings | $1.50/1K | No Proxy

For Norwegian real estate investors, buyer's agents, and Nordic PropTech platforms who need structured data from Finn.no — Norway's dominant property portal with 95%+ market share.

$1.50 per 1,000 listings.

Scrape Finn.no — Norway's #1 classifieds and real estate portal. Extracts structured listing data from any search URL: price, total cost, shared expenses, address, area, ownership type, property type, bedrooms, viewing times, and photos.

No proxy required. No authentication. Parses HTML listing cards with parsel — stable field extraction.

What you get

Field	Description
listing_id	Finn code (finnkode)
title	Listing title
price	Asking price in NOK
price_raw	Raw price text
total_price	Total price including fees (NOK)
shared_expenses	Monthly shared expenses (NOK)
currency	Always "NOK"
area_m2	Living area in m²
ownership_type	"Selveier", "Aksje", "Andel", etc.
property_type	"Leilighet", "Enebolig", "Rekkehus", etc.
bedrooms	Number of bedrooms
address	Street address
city	City name
viewing	Next viewing date/time
url	Full Finn ad URL
image_url	Main listing photo (960px)
scraped_at	Scrape timestamp (ISO 8601 UTC)
parse_confidence	Data quality score 0.0–1.0
warnings	Quality issue codes

How it works

Finn.no renders listing cards server-side as <article> elements with full data in text content. The actor fetches search pages and parses each card using parsel CSS/text selectors. Pagination via ?page=N parameter.

~50 listings per page. No detail-page fetches needed.

Input

{
  "searchUrl": "https://www.finn.no/realestate/homes/search.html?location=0.20061",
  "maxItems": 50
}

Works with any Finn.no real estate search URL — location, price, size filters all work.

Output sample

{
  "listing_id": "382814524",
  "title": "Lys og pen 3-roms leilighet med balkong og garasjeplass",
  "price": 5490000,
  "total_price": 5742500,
  "shared_expenses": 4200,
  "currency": "NOK",
  "area_m2": 72,
  "ownership_type": "Aksje",
  "property_type": "Leilighet",
  "bedrooms": 2,
  "address": "Pilestredet 75C",
  "city": "Oslo",
  "viewing": "Lørdag 15. juni kl. 13:00",
  "url": "https://www.finn.no/realestate/homes/ad.html?finnkode=382814524",
  "parse_confidence": 0.95,
  "warnings": []
}

Pricing example

Run size	Cost
50 listings	~$0.075
1,000 listings	~$1.50
10,000 listings	~$15.00
+ viewing schedule	+$0.50/1K

FAQ

Do I need a Finn.no account or proxy? No account, no proxy. Works from Apify cloud IPs.

What output formats are available? JSON, CSV, Excel, XML — all via Apify dataset download or API.

Are GPS coordinates included? Coordinates are not available from Finn.no search pages (search page only). Use the listing url to open the detail page for exact map location.

What if it returns empty results? Check that your searchUrl is a valid Finn.no real estate search URL (must include /realestate/). The actor logs the issue and exits cleanly with 0 results rather than crashing.

Why this actor vs. competitors

Feature	This actor	epctex/finn-scraper ($3/1K)	Typical Finn.no scraper
total_price (incl. fees)	Yes	No	Rarely
shared_expenses	Yes	No	No
ownership_type (Selveier/Aksje)	Yes	No	No
Viewing schedule	Yes	No	No
parse_confidence	Yes	No	No
Price per 1K listings	$1.50	$3.00	varies

Note: GPS coordinates not available in current version (search-page only). Use the listing URL for exact location.

Legal note: ownership_type (Selveier vs Aksje/Andel) is a legally critical field in Norway — cooperative (Aksje/Andel) ownership affects financing options. This field is unique to Norwegian real estate and rarely available in competing scrapers.

parse_confidence

Every listing includes a parse_confidence score (0–1). Score < 0.8 means one or more critical fields are missing — check the warnings array before relying on those records.

Use with AI agents (MCP)

Tag: MCP_SERVERS. Returns clean JSON — drop into any n8n / Make / LangChain workflow without post-processing.

{
  "mcpServer": "https://mcp.apify.com/?tools=bovi/finn-listings"
}

Competitive edge

• parse_confidence + warnings on every record
• total_price + shared_expenses (full cost transparency)
• ownership_type (Selveier vs Aksje/Andel distinction)
• viewing date extracted
• No proxy COGS

Pricing

Pay-Per-Event (PPE):

Event	Price
listing-item (primary)	$1.50 / 1,000 listings
viewing-schedule (premium)	$0.50 / 1,000 listings with viewing dates

Listings with an upcoming viewing date fire the viewing-schedule event in addition to the base charge. Buyer's agents and buyer-coordination platforms use this field to track open-house schedules.

Integrations

Built for Norwegian real-estate investors and PropTech platforms monitoring Finn.no property prices and inventory — the JSON/dataset output drops into the tools you already run, no glue code:

• n8n / Make / Zapier — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
• Webhooks — fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
• MCP server — expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
• API & SDKs — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all Apify integrations.