FINN.no Scraper [From $1💰] | Real Estate | Cars | Jobs

FINN.no Scraper — Norway Real Estate, Used Cars & Jobs Data

Extract structured listings from FINN.no, Norway's largest marketplace, across real estate (homes for sale + rentals), used cars, and jobs — price, address, beds/baths/sqm, photos, and seller/dealer contact, pulled from both search and detail pages. Build Norwegian property databases, track used-car prices, and monitor the job market without an official API.

Main Use Cases

• Norwegian property price monitoring — track asking prices and price-per-m² across Oslo, Bergen, Trondheim and every region.
• Rental yield & property investment research — compare purchase prices and asking rents to evaluate rental income potential.
• Used car pricing intelligence — monitor used-car prices, EV vs. combustion pricing, and dealer/private listings.
• Recruitment & job market analytics — collect job postings with company, location, and deadlines for hiring intelligence.
• Real estate & dealer lead generation — aggregate estate-agent and dealer contact data by region.
• Market research & AI training data — build labelled Norwegian-language datasets of listings, prices, and descriptions.

How It Works

Looking for a FINN.no scraper or a practical Norwegian marketplace data alternative? Choose homes for sale, rentals, used cars or jobs, add an optional city or keyword, then set page and detail limits. Each row includes the FINN ad ID, title, NOK price text and numeric price, address, location, area, rooms, the full key-info table, seller or dealer, photos and a canonical listing URL.

Use the dataset for Norwegian property price tracking, rental yield research, used-car pricing, recruitment analysis and dealer lead lists. Export as JSON, CSV or Excel, or pull results through the Apify API. Pay from $1.00 per 1,000 listings.

Extract Norwegian Real Estate Listings Without an Official API

FINN.no provides no public listings API (its integration API is limited to business advertisers). This actor turns any FINN.no real-estate search — homes for sale or rentals — into a clean structured dataset. Choose the realestate_homes or realestate_lettings vertical, optionally filter by a city or area via searchQuery, and get one row per listing with price, address, rooms, sqm, and seller.

Monitor Rental Properties and Estimate Yields

For investors, combine the realestate_homes and realestate_lettings verticals to compare purchase prices against asking rents for the same city or area. Structure the output with priceNumber (numeric NOK) to compute gross rental yields and price-per-m² across Norwegian submarkets.

Track Used Car Prices and the EV Market

Norway's new-car market is ~96–98% electric, so used EV pricing is a major signal. With the cars vertical you can pull used-car listings with price, mileage, year, fuel/range (via keyInfo), and whether the seller is a dealer or private party — useful for building Norwegian used-car valuation and dealer-inventory tracking tools.

Collect Job Postings for Recruitment Intelligence

The jobs vertical returns full-time and other job ads with job title, company, location, and publish timestamp. Recruiters, staffing agencies, and labor-market analysts use this to monitor hiring demand by company, role, and region.

Input

Field	Type	Required	Default	Notes
vertical	enum	✅	realestate_homes	realestate_homes, realestate_lettings, cars, or jobs
searchQuery	string	❌	``	Optional keyword filter (e.g. Oslo, Toyota, sykepleier). Leave empty for all listings.
directUrls	array	❌	[]	Paste specific FINN.no listing URLs to scrape straight to the detail page (skips search).
maxPages	integer	❌	5	Max search result pages to crawl (~50 listings/page). Ignored when directUrls is provided.
includeDetails	boolean	❌	true	Also crawl each listing's detail page for full data (key info, description, seller, photos). Doubles request count.
proxyConfiguration	object	❌	Apify proxy	Use the Apify proxy to avoid IP blocks.

Output

Each dataset row is one listing. Search-page rows carry source: "search" with the listing summary; detail-page rows carry source: "detail" with the full key-info table, description, seller, and photos.

Field	Type	Description
source	string	search or detail
vertical	string	The vertical scraped
adId	string	FINN ad ID (finnkode)
title	string	Listing or job title
price	string	Price as text (NOK)
priceNumber	number	Price as a numeric NOK value
address	string	Street address
location	string	City / area
area	string	Square meters (real estate)
rooms	string	Number of rooms/bedrooms
keyInfo	object	Full key-value table from the detail page (beds, baths, sqm, year, fuel, mileage, etc.)
company / sellerName	string	Seller or dealer company
publishedAt	string	Publish timestamp (jobs)
photos	array	Array of image URLs
url	string	Canonical listing URL

Example Input

{
  "vertical": "realestate_homes",
  "searchQuery": "Oslo",
  "maxPages": 3,
  "includeDetails": true
}

Example Output

{
  "source": "detail",
  "vertical": "realestate_homes",
  "adId": "475553698",
  "title": "Innholdsrik 3-roms i 3.etg - Sentral beliggenhet i attraktivt område",
  "price": "3 750 000 kr",
  "priceNumber": 3750000,
  "address": "Havstadvegen 11 B, Trondheim",
  "keyInfo": {
    "Boligtype": "Leilighet",
    "Eieform": "Eier (Selveier)",
    "Soverom": "2",
    "Bruksareal": "75 m²",
    "Etasje": "3",
    "Byggeår": "2021"
  },
  "sellerName": "EiendomsMegler 1 Melhus",
  "photos": ["https://images.finncdn.no/dynamic/1280w/..."],
  "url": "https://www.finn.no/realestate/homes/ad.html?finnkode=475553698"
}

Integrations & Automation

Export results as JSON, CSV, Excel, or XML, or pull them via the Apify API. Connect to AI agents and MCP clients via the Apify MCP server, or wire results into Zapier / Make / n8n workflows and webhooks.

For recurring value, schedule the actor to run daily or weekly so you can compare priceNumber over time — property prices, used-car prices, and job volumes all change fast.

Related Actors

• Norway Real Estate Data — FINN.no Property Listings — FINN.no homes for sale and rent with NOK prices, rooms, and agents.
• FINN.no Jobs Scraper — FINN.no job listings with titles, companies, locations, deadlines, and descriptions.
• FINN.no Real Estate Scraper — Norway Property Data — Finn.no property listings with price, m², ownership type, and agency.
• FINN.no Scraper — Norway Real Estate, Cars, Jobs — a broader multi-vertical FINN.no listings data export.
• Boligsiden.dk Scraper — Danish real estate listings, useful for Nordic market comparison.

FAQ

Why use this actor instead of the official FINN.no API?

FINN.no does not provide a public listings API — its real-estate integration API is restricted to business advertisers with a written access agreement. This actor reads the publicly available, server-side-rendered listing pages and returns clean structured data, so there is no API key, no login, and no advertiser contract required.

What are alternatives to scraping FINN.no directly?

Instead of building and maintaining your own FINN.no crawler (handling IP blocks, page markup changes, and pagination), you can run this maintained actor on the Apify platform and export structured data in minutes. For cross-Nordic property comparison, pair it with Danish and Swedish real-estate actors.

Does the actor cover real estate, cars, AND jobs in one run?

Yes. One run handles any of four verticals: homes for sale (realestate_homes), rentals (realestate_lettings), used cars (cars), and jobs (jobs). You pick the vertical as the required input.

How much does it cost to scrape FINN.no?

This is a pay-per-event actor: a small start fee per run, plus a per-listing and per-detail fee. Because it runs on a lightweight CheerioCrawler (plain HTTP, no browser), it is very cheap — far less than a browser-based scraper.

Can I scrape rental listings and estimate rental yields?

Yes. Use the realestate_lettings vertical for asking rents and realestate_homes (or the rental's own listing) for purchase prices, then combine priceNumber and area to estimate gross rental yield and price-per-m².

How do I avoid IP blocks when scraping FINN.no?

The actor routes requests through the Apify residential proxy (useApifyProxy defaults to true) to avoid IP blocks and rate limiting.

For AI Agents & LLM Apps

This actor is callable via the Apify API and the Apify MCP server. It returns structured Norwegian classifieds data (real estate, cars, jobs) as JSON.

Minimal working input:

{ "vertical": "realestate_homes", "maxPages": 1, "includeDetails": false }

Variant — scrape a specific listing directly:

{ "directUrls": ["https://www.finn.no/realestate/homes/ad.html?finnkode=12345678"], "includeDetails": true }

Output fields: source, vertical, adId, title, price, priceNumber, address, location, area, rooms, keyInfo, company/sellerName, publishedAt, photos, url.

Behaviors an agent should know:

• vertical is the only required input field.
• When both searchQuery/maxPages and directUrls are set, directUrls takes priority and search crawling is skipped.
• includeDetails (default true) doubles the request count and per-row cost; set it to false for cheap search-card summaries only.
• maxPages controls how many ~50-listing search pages to crawl; ignored when directUrls is used.
• Billing: pay-per-event — $0.0005 / run start, $0.001 / listing result, +$0.002 per detail-enriched row.

Legal & Compliance Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by FINN.no (part of Schibsted). It accesses only publicly available listing pages — it does not bypass logins, solve CAPTCHAs, or access private or advertiser-only systems. Please note that FINN.no's terms state that automated crawling requires written permission; review FINN.no's terms of service, the Norwegian Personal Data Act, and applicable data-protection law (including GDPR for personal data) before running at scale. Where the output includes personal contact data (e.g. dealer or employer contacts), do not use it for unsolicited commercial outreach that would violate applicable law (e.g. GDPR). You are responsible for your own compliance.

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