FINN.no Scraper — Norway Property, Jobs, Cars & Torget

Turn any FINN.no search into clean, structured data. FINN is Norway's largest marketplace, and this actor covers four of its verticals in one run: property listings (for sale, rentals, new-builds, holiday homes, plots), job ads, cars & vehicles, and Torget classifieds. Paste any FINN search or ad URL, or build a search from filters, and get one flat row per listing.

Input	Row(s) emitted
…/realestate/homes/search.html?location=0.20061	One property row per listing on every page
…/realestate/lettings/search.html?…	One property row per rental, with deposit and furnishing
…/realestate/homes/ad.html?finnkode=473282564	One fully detailed property row
…/job/search?q=utvikler	One job row per ad on every page
…/job/ad/472810559	One fully detailed job row
…/mobility/search/car?variant=0.817	One car row per vehicle on every page
…/mobility/item/441416549	One fully detailed car row
…/recommerce/forsale/search?q=sykkel	One torget row per classified ad
…/recommerce/forsale/item/473315083	One fully detailed torget row
Filter builder (locations, price, area, keyword…)	Same as the matching search URL

Pure HTTP. No browser, no third-party bypass service, and no proxy needed — FINN serves datacenter IPs without a bot challenge, so proxy traffic costs you nothing.

✨ Why use this scraper?

• Four verticals, one actor — Norwegian property, jobs, vehicles and classifieds from a single run and a single bill, instead of stitching four scrapers together.
• Reads FINN's own data layer — property rows come from the same structured payload FINN's website consumes, so you get exact numbers (7 490 000 NOK, 59.93029 / 10.71958) rather than scraped-and-reparsed strings.
• Contact details included — property ads carry the agent's or private seller's phone numbers; job ads carry the named contact person plus their phone and the apply URL.
• Full vehicle records — car ads return FINN's complete spec table: registration number, VIN, owner count, next EU inspection date, CO₂, power, towing capacity, boot volume and colour, alongside price excluding the re-registration fee.
• Rental-aware — lettings rows add deposit, what the rent includes, furnishing level and whether pets are allowed, not just the monthly figure.
• 50 listings per page — property searches paginate in 50s, so large sweeps finish fast.
• Verified filters only — every filter in the input was checked against FINN's live result counts. Filters FINN doesn't honour are not offered, so a search never silently ignores what you asked for.
• JSON, CSV, Excel or API — pipe straight into your sheet, BI tool or pipeline. Billed per listing.

🎯 Use cases

You are a…	Use it to…
Property analyst	Track asking prices, price per m², energy labels and days-on-market across Norwegian counties
Estate agency	Monitor competitor listings and viewing schedules in your area
Proptech / portal	Seed a Norwegian property dataset with coordinates, photos and full descriptions
Recruiter / job board	Track live Norwegian vacancies by keyword, employer, industry and deadline
Lead generation	Reach listing agents and hiring contacts through the phone numbers published on the ads
Investor / researcher	Compare rent vs sale economics per neighbourhood using deposit, shared cost and collective debt
Car dealer / valuation	Track used-vehicle asking prices by make, model, year and mileage, with full spec records
Resale / arbitrage	Watch Torget classifieds for underpriced items by keyword and price band

📥 Supported inputs

• Property search URLs — https://www.finn.no/realestate/{homes|lettings|newbuildings|leisure-sale|plots}/search.html?… with any filters you set on the site.
• Property ad URLs — https://www.finn.no/realestate/homes/ad.html?finnkode={id}. Always fully detailed.
• Job search URLs — https://www.finn.no/job/search?q=…. See the FAQ about location in job URLs.
• Job ad URLs — https://www.finn.no/job/ad/{id}. Always fully detailed.
• Car search / ad URLs — https://www.finn.no/mobility/search/car?… and https://www.finn.no/mobility/item/{id}.
• Torget search / ad URLs — https://www.finn.no/recommerce/forsale/search?q=… and https://www.finn.no/recommerce/forsale/item/{id}.
• Filter builder — counties by name (Oslo, Vestland, …) or FINN codes, plus price, area, bedrooms, property type, ownership type, energy label, car price/year/mileage, and Torget price band.

⚙️ How it works

1. Classify every pasted URL into vertical × search/ad, and build extra search URLs from your filters.
2. Paginate each search — property through FINN's structured data feed (50 listings per page); jobs, cars and Torget through their results pages (~50 cards per page).
3. Enrich each listing from its own ad page when Scrape detail pages is on.
4. Export one row per listing — JSON, CSV, Excel or API.

⚙️ Input parameters

Field	Type	Default	What it does
startUrls	array	[]	FINN search / ad URLs, auto-classified across all four verticals
vertical	string	realestate	Which vertical the filter builder targets
section	string	homes	homes, lettings, newbuildings, leisure-sale, plots
locations	array	["Oslo"]	County names or FINN codes (0.20061, 1.22042.20166)
searchQuery	string	—	Free-text property keyword
priceFrom / priceTo	integer	—	Price range in NOK (monthly rent for lettings)
areaFrom / areaTo	integer	—	Usable internal area in m²
minBedrooms	integer	—	Minimum bedrooms
propertyTypes	array	all	1 Enebolig · 2 Tomannsbolig · 3 Leilighet · 4 Rekkehus · 6 Garasje · 9 Industri · 11 Gårdsbruk · 18 Andre · 20 Bygård
ownershipTypes	array	all	1 Obligasjon · 2 Aksje · 3 Selveier · 4 Andel · 255 Annet
energyLabels	array	any	1 = A … 7 = G
privateSellerOnly	boolean	false	Only ads posted without an agency
publishedToday	boolean	false	Only ads first published today
jobQuery	string	—	Free-text job keyword
jobOccupations / jobIndustries	array	all	FINN occupation= / industry= codes
jobLocationContains	string	—	Narrows job rows by location text after parsing
carQuery	string	—	Free-text vehicle keyword
carPriceFrom / carPriceTo	integer	—	Vehicle price range in NOK
carYearFrom / carYearTo	integer	—	Model-year range
carMileageTo	integer	—	Max odometer reading in km
torgetQuery	string	—	Free-text classifieds keyword
torgetPriceFrom / torgetPriceTo	integer	—	Classifieds price range in NOK
scrapeDetails	boolean	false	Fetch each ad's own page for the full payload
maxItems	integer	1000	Hard cap on rows for the whole run
maxItemsPerSearch	integer	1000	Cap per search
maxConcurrency	integer	6	Parallel HTTP requests (1–20)
maxRequestRetries	integer	8	Retry budget on transient 403/429/5xx
proxy	object	none	Optional override; not needed

📊 Output overview

Each dataset record is one listing. rowType tells the four shapes apart: property carries price, area, rooms and agent details; job carries employer, deadline and hiring contacts; car carries the vehicle spec record; torget carries the classified ad. Columns belonging to one vertical are absent on the others.

📦 Output samples

rowType: "property" (a rental, with detail mode on)

{
  "rowType": "property",
  "finnkode": "467925455",
  "heading": "Moderne leilighet | Internett og hvitevarer inkludert",
  "url": "https://www.finn.no/realestate/lettings/ad.html?finnkode=467925455",
  "section": "lettings",
  "price": { "amount": 25300, "currency": "NOK" },
  "deposit": { "amount": 75900, "currency": "NOK" },
  "rentIncludes": "Internett, hvitevarer, bod",
  "furnishing": "Umøblert",
  "animalsAllowed": false,
  "propertyType": "Leilighet",
  "areaFrom": 64,
  "bedrooms": 3,
  "address": "Hausmanns gate 19 B, Oslo",
  "localArea": "Sentrum",
  "coordinates": { "latitude": 59.9166, "longitude": 10.7563 },
  "contactPhones": ["98192618"],
  "facilities": ["Balkong/Terrasse", "Garasje/P-plass", "Moderne", "Sentralt"],
  "imageUrls": ["https://images.finncdn.no/dynamic/default/…"],
  "detailScraped": true,
  "scrapedAt": "2026-08-17T13:03:58.512Z"
}

rowType: "job" (with detail mode on)

{
  "rowType": "job",
  "adId": "469164249",
  "title": "Utvikler kryptoforsering",
  "url": "https://www.finn.no/job/ad/469164249",
  "employer": "Etterretningstjenesten",
  "location": "Lutvannsveien 60, 0676 Oslo",
  "deadline": "18.08.2026",
  "employmentType": "Fast",
  "sector": "Offentlig",
  "industry": "IT",
  "jobTitleRole": "Utvikling",
  "keywords": ["kryptologi", "utvikling", "sikkerhet"],
  "contactNames": ["HR"],
  "contactPhones": ["23 09 43 29"],
  "applyUrl": "https://www.finn.no/job-apply/469164249/job/apply",
  "publishedAt": "2026-07-07T07:41:34.000Z",
  "detailScraped": true,
  "scrapedAt": "2026-08-17T13:05:12.004Z"
}

rowType: "car" (with detail mode on)

{
  "rowType": "car",
  "adId": "441416549",
  "title": "Volkswagen Tiguan",
  "variant": "2,0 TDI 140hk 4M BMT",
  "url": "https://www.finn.no/mobility/item/441416549",
  "price": { "amount": 117995, "currency": "NOK" },
  "priceExclRegistration": { "amount": 116000, "currency": "NOK" },
  "registrationFee": { "amount": 1995, "currency": "NOK" },
  "make": "Volkswagen",
  "model": "Tiguan",
  "year": 2014,
  "mileageKm": 162000,
  "fuel": "Diesel",
  "transmission": "Automat",
  "drivetrain": "Firehjulsdrift",
  "bodyType": "SUV/Offroad",
  "powerHp": 140,
  "co2GramsPerKm": 153,
  "towingCapacityKg": 2200,
  "seats": 5,
  "colour": "Hvit",
  "firstRegistered": "30.05.2014",
  "nextInspection": "14.06.2027",
  "owners": 4,
  "registrationNumber": "CV72758",
  "vin": "WVGZZZ5NZEW613699",
  "location": "Horten",
  "sellerType": "Privat",
  "detailScraped": true
}

rowType: "torget" (with detail mode on)

{
  "rowType": "torget",
  "adId": "473315083",
  "title": "TREK El-sykkel",
  "url": "https://www.finn.no/recommerce/forsale/item/473315083",
  "price": { "amount": 16000, "currency": "NOK" },
  "brand": "Trek",
  "cardAttribute": "Trek",
  "condition": "Used",
  "category": "Sport og friluftsliv > Sykkelsport > Sykler",
  "location": "Biri",
  "postedLabel": "2 dg.",
  "description": "Svært lite og pent brukt, Borch Powerpack batteri el motor.",
  "detailScraped": true
}

🗂 Key output fields

Property

Field	Description
finnkode	FINN ad id, e.g. 473282564
heading / url	Listing headline and canonical ad URL
price / totalPrice	Asking price and total incl. costs (monthly rent for lettings)
sharedCost / collectiveDebt / taxValue	Felleskostnader, collective debt and tax assessment value
deposit / rentIncludes / furnishing / animalsAllowed	Rental-only economics and terms
propertyType / ownershipType	Leilighet, Enebolig… / Selveier, Andel…
areaFrom / areaTo / plotArea	Usable internal area and plot size in m²
bedrooms / rooms / floor / constructionYear	Layout and age
energyLabel	Energy class A–G
address / localArea / coordinates	Street address, neighbourhood, lat/lon
agencyName / contactPhones / contactNames	Listing agent or private seller
facilities / imageUrls / viewings	Amenities, photos, scheduled open-house slots
description	Full ad copy (detail mode)

Job

Field	Description
adId / title / url	FINN ad id, job title, canonical URL
employer / employerLogo	Hiring company
location	Workplace address
deadline	Application deadline, or Snarest (ASAP)
employmentType / positions / sector	Fast/Vikariat…, number of positions, private/public
industry / jobTitleRole / keywords	FINN's own taxonomy plus ad keywords
contactNames / contactPhones / applyUrl	Named hiring contacts and where to apply
publishedAt	When the ad went live (ISO)
description	Full ad text (detail mode)

Car

Field	Description
adId / title / variant	FINN ad id, model name, and the trim/engine line
price / priceExclRegistration / registrationFee	Asking price, and the Norwegian split of price vs re-registration fee
make / model / year / bodyType	Vehicle identity
mileageKm / fuel / transmission / drivetrain	Core running gear
powerHp / engineLitres / co2GramsPerKm / weightKg / towingCapacityKg	Performance and capacity
seats / doors / bootLitres / colour	Body details
firstRegistered / nextInspection / owners	History and upcoming EU inspection
registrationNumber / vin	Plate and chassis number as published on the ad
location / sellerType / paidPlacement	Where it is, private vs dealer, promoted slot

Torget

Field	Description
adId / title / url	FINN ad id, headline, canonical URL
price	Asking price in NOK
brand	Brand from the ad's structured data — only set when detail mode ran
cardAttribute	The chip FINN prints on the results card; category-dependent (brand on bikes, storage size on phones), so reported verbatim
condition / category	New / Used, plus the full category path
location / postedLabel / paidPlacement	Town, ad age as printed, promoted slot

❓ FAQ

Do I need a proxy or an account? No. FINN serves datacenter IPs without a bot challenge, so the actor runs direct and you pay no proxy traffic. The proxy input exists only if you specifically want your own egress.

Why does my job URL with a location filter return nothing? FINN renders location-filtered job results in the browser, so the page a scraper receives is genuinely empty — no code can read rows that were never sent. Every location code format was tested; all return zero server-rendered cards. Use jobLocationContains instead: it fetches the unfiltered search and keeps only the rows whose location matches, and filtered-out rows are never billed.

Why is there no bedroom filter on job searches, or a sort option? Only filters verified against FINN's live result counts are exposed. Anything FINN silently ignores was left out on purpose, so a run never quietly returns something other than what you asked for.

What does Scrape detail pages add? Property: full description, energy label, construction year, floor, shared cost, collective debt, tax value, facilities, every photo, viewing times and contact phones. Jobs: full ad text, employment type, deadline, sector, industry, keywords, contact people and the apply URL. It roughly doubles the requests. Ad URLs you paste are always fully detailed.

A run failed saying FINN returned server errors — what now? FINN's search routes fail independently of one another; we've observed /realestate/homes/search.html returning 500 for everyone while lettings, ads and jobs stayed healthy. That's FINN, not a block, and no proxy changes it. Try another section or run again shortly.

Why is brand empty on Torget rows? It comes from the ad's own structured data, which only the detail page carries — turn on Scrape detail pages to fill it. The card chip is reported separately as cardAttribute because FINN puts different things there per category (a brand on bikes, storage size on phones), and calling that a brand would be wrong.

Which locations does it cover? All of Norway. Use county names (Oslo, Vestland, Trøndelag, …) or paste a municipality code such as 1.22042.20166 from any finn.no search URL.

What format is the output? JSON, CSV, Excel or via API — one row per listing.

💬 Support

Found a missing field or a page that won't parse? Open an issue on the actor's Issues tab with the input you used — fixes usually ship within a day or two.

🛠 Additional services

Need FINN's other verticals (cars, boats, Torget classifieds), a custom field, or a scheduled feed into your database? Reach out via the Issues tab.

🔎 Explore more scrapers

Browse the full portfolio of property and job-board scrapers on the Apify Store — including Rightmove, OnTheMarket, Hemnet, Daft.ie, Funda and Jobindex.

🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/finn-no-scraper).

Purpose: scrape FINN.no — Norway's largest marketplace — into one flat row per listing, across four verticals: property (sale, lettings, new-builds, leisure, plots), jobs, cars & vehicles, and Torget classifieds. Property and job rows include contact phone numbers; car rows include the full spec record.

Minimal input:

{ "vertical": "realestate", "section": "lettings", "locations": ["Oslo"], "maxItems": 20 }

Output: rows are discriminated by rowType. property — finnkode, heading, url, section, price {amount, currency}, totalPrice, sharedCost, collectiveDebt, taxValue, deposit, rentIncludes, furnishing, animalsAllowed, propertyType, ownershipType, areaFrom, areaTo, plotArea, bedrooms, rooms, floor, constructionYear, energyLabel, address, localArea, coordinates {latitude, longitude}, agencyName, contactPhones, contactNames, imageUrls, viewings, facilities, publishedAt, description, detailScraped. job — adId, title, url, employer, employerLogo, location, deadline, publishedAt, employmentType, positions, sector, jobTitleRole, industry, keywords, contactNames, contactPhones, applyUrl, description, detailScraped. car — adId, title, variant, url, price, priceExclRegistration, registrationFee, make, model, year, mileageKm, fuel, transmission, drivetrain, bodyType, powerHp, engineLitres, co2GramsPerKm, weightKg, towingCapacityKg, seats, doors, bootLitres, colour, firstRegistered, nextInspection, owners, registrationNumber, vin, salesForm, location, sellerType, paidPlacement, imageUrls, description, detailScraped. torget — adId, title, url, price, brand, cardAttribute, condition, category, location, postedLabel, paidPlacement, imageUrls, description, detailScraped.

Behaviors an agent should know:

• Always set maxItems — a single county search can exceed 5,000 property listings (50 per page).
• startUrls and the filter builder are additive; the builder only fires when at least one of its fields is set, so pasted URLs are never joined by a phantom search.
• scrapeDetails: true fetches one extra request per row and is what populates description, energy label, contacts and the apply URL.
• Job searches cannot be location-filtered server-side; pass jobLocationContains and expect fewer rows than pages fetched. Dropped rows are not billed.
• Car and Torget rows only get their full payload with scrapeDetails: true; without it brand, vin, the spec table and descriptions stay null.
• Property section must match the URLs you paste — homes and lettings return different price semantics (price is monthly rent for lettings).
• Billing: one result event per emitted row. Blocked, failed and filtered-out requests are never billed.
• No proxy is required; passing one is an explicit override.

⚠️ Disclaimer

This scraper is an independent tool and is not affiliated with, endorsed by, or sponsored by FINN.no, Schibsted, or any of their subsidiaries. All trademarks, service marks and trade names are the property of their respective owners.

It collects only publicly available listing data from FINN.no. It does not access private accounts, bypass authentication, or collect personal data beyond the contact details advertisers themselves publish on public ads. You are responsible for using the scraped data in compliance with FINN's terms, Norwegian and EU law (including GDPR), and any applicable regulations. Use it for legitimate research, aggregation and analysis.

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