FINN.no Torget Scraper — Norwegian Marketplace

What does FINN.no Torget Marketplace Scraper do?

Scrape classified listings from FINN.no Torget — Norway's largest marketplace with 4+ million monthly users. Extract prices, condition, seller info, images, GPS coordinates, and full descriptions from 11 categories across all 16 Norwegian counties.

FINN.no Torget is Norway's dominant classifieds platform (owned by Schibsted), covering electronics, furniture, vehicles, sports gear, fashion, and more. This actor turns Torget listings into clean, structured JSON with filters for category, condition, region, price, and seller type.

What data can you extract from finn.no?

• Price monitoring — Track prices across categories, regions, and conditions over time
• Market research — Analyze supply, pricing trends, and seller distribution across Norwegian counties
• Inventory feeds — Export structured product data for resale platforms, comparison engines, or internal catalogs
• AI-agent workflows — Feed compact listing data into ranking, classification, or MCP tool chains

Input

Basic search — 50 iPhones in Oslo:

{
  "query": "iPhone",
  "region": "oslo",
  "maxResults": 50
}

Category browse — all furniture under 5000 NOK:

{
  "query": "",
  "category": "mobler_interior",
  "priceMax": 5000,
  "maxResults": 100
}

Compact mode for AI agents:

{
  "query": "sykkel",
  "compact": true,
  "descriptionMaxLength": 200,
  "maxResults": 20
}

Output

Example result record

{
  "listingId": "a1b2c3d4e5f6...64-char-sha256-hex",
  "title": "iPhone 11 Pro selges billig -- fungerer fint",
  "description": "Selger en iPhone 11 Pro i god stand. Telefonen fungerer som den skal til daglig bruk.",
  "price": 1700,
  "currency": "NOK",
  "condition": "good",
  "conditionDetails": "Pent brukt - I god stand",
  "brand": "Apple",
  "model": "iPhone 2G-11",
  "category": "Mobiltelefoner",
  "categoryPath": "Elektronikk og hvitevarer > Telefoner og tilbehor > Mobiltelefoner",
  "location": "0283 Oslo",
  "zipCode": "0283",
  "latitude": 59.91835,
  "longitude": 10.64239,
  "imageUrl": "https://images.finncdn.no/dynamic/1280w/item/456706109/...",
  "imageUrls": ["https://images.finncdn.no/dynamic/1280w/item/456706109/..."],
  "imageCount": 1,
  "sellerName": null,
  "sellerType": "private",
  "tradeType": "Til salgs",
  "postedAt": "2026-03-19T15:25:33.000Z",
  "editedAt": "2026-03-22T09:43:29.887552+01:00",
  "url": "https://www.finn.no/recommerce/forsale/item/456706109",
  "portalUrl": "https://www.finn.no/recommerce/forsale/item/456706109",
  "sellerId": 851824737,
  "isPromoted": false,
  "shippingAvailable": true,
  "freeShipping": false,
  "buyNowAvailable": true,
  "disposed": false,
  "isWebstore": false,
  "attributes": {
    "phone_brand": "Apple",
    "mobile_memory_size": "64 GB",
    "mobile_model": "iPhone 2G-11"
  },
  "scrapedAt": "2026-03-22T10:00:00.000Z",
  "source": "finn.no"
}

Input reference

Parameter	Type	Default	Description
Search
query	string	--	Search keywords (e.g. 'iPhone', 'sofa', 'sykkel')
category	enum	"all"	Filter by category: elektronikk_hvitevarer, mobler_interior, sport_friluftsliv, klaer_kosmetikk, foreldre_barn, hage_oppussing_hus, dyr_utstyr, antikviteter_kunst, fritid_hobby_underholdning, naeringsvirksomhet, bil_baat_mc_utstyr
Filters
condition	enum	"all"	new_sealed, as_new, good, worn, needs_repair
region	enum	"all"	Norwegian county: oslo, akershus, vestland, rogaland, trondelag, nordland, innlandet, agder, vestfold, buskerud, telemark, more_og_romsdal, ostfold, troms, finnmark, svalbard
priceMin	integer	0	Minimum price in NOK
priceMax	integer	0	Maximum price in NOK (0 = no limit)
sellerType	enum	""	"private" or "dealer"
sortBy	enum	"relevance"	newest, oldest, price_asc, price_desc, closest
Limits
maxResults	integer	50	Maximum results (0 = unlimited, max 5000)
Enrichment
includeDetails	boolean	true	Fetch detail pages for description, category, attributes
descriptionMaxLength	integer	0	Truncate description to N chars (0 = full)
Output
compact	boolean	false	Core fields only for AI-agent/MCP workflows
Incremental
incrementalMode	boolean	false	Only return new/changed listings vs previous run
stateKey	string	--	Stable ID for tracked universe (e.g. 'iphone-oslo')

Output fields

Field	Type	Source	Description
listingId	string	SERP	SHA-256 hash of finn.no:{id} — stable across runs
title	string	SERP	Listing title
description	string/null	Detail	Full seller description
price	number	SERP	Price in NOK (0 for free items)
currency	string	SERP	Always "NOK"
condition	string/null	Detail	Normalized: new, like_new, good, fair, needs_repair
conditionDetails	string/null	Detail	Original Norwegian text
brand	string/null	SERP	Brand name (e.g. "Apple", "IKEA")
model	string/null	Detail	Model from extras
category	string/null	Detail	Leaf category name
categoryPath	string/null	Detail	Full path: "Elektronikk > Telefoner > Mobiltelefoner"
location	string	SERP+Detail	City or "zipCode cityName"
zipCode	string/null	Detail	Norwegian 4-digit postal code
latitude	number/null	SERP	GPS latitude
longitude	number/null	SERP	GPS longitude
imageUrl	string/null	SERP	Primary image URL
imageUrls	string[]	SERP+Detail	All image URLs
imageCount	number	SERP	Number of images
sellerName	string/null	SERP	Business name (dealers only)
sellerType	string/null	SERP	"private" or "dealer"
tradeType	string	SERP	"Til salgs", "Gis bort", "Onskes kjopt"
postedAt	string	SERP	ISO 8601 posted timestamp
editedAt	string/null	Detail	ISO 8601 last edit timestamp
url	string	SERP	Canonical listing URL
portalUrl	string	SERP	Direct finn.no link
sellerId	number/null	Detail	Numeric user ID
isPromoted	boolean	SERP	Paid promotion flag
shippingAvailable	boolean	SERP+Detail	Fiks ferdig shipping
freeShipping	boolean	Detail	Seller pays shipping
buyNowAvailable	boolean	SERP+Detail	Instant purchase available
disposed	boolean	Detail	Listing sold/removed
isWebstore	boolean	Detail	From webshop
attributes	object	Detail	Key-value extras (phone_brand, size, etc.)
scrapedAt	string	--	ISO 8601 scrape timestamp
source	string	--	Always "finn.no"

How much does it cost to scrape finn.no?

Pay-per-event pricing — you pay only for results emitted.

Event	Price	When
actor-start	$0.01	Each run
result	$0.002	Per listing

Scenario	Listings	Cost
Quick test	10	$0.03
Daily monitor	50	$0.11
Category scrape	500	$1.01
Large export	2000	$4.01

Incremental mode

Track new/changed listings across scheduled runs using stateKey to scope your monitored universe.

Change type	Meaning
NEW	First time seen
CHANGED	Previously seen with updated content

Known limitations

• FINN.no Torget only — does not cover Bil (cars), Eiendom (real estate), or Jobb (jobs) verticals
• Detail fields (description, category, condition, attributes) require includeDetails=true which adds one HTTP request per listing
• Some listings lack brand, model, or condition depending on the category
• GPS coordinates are approximate (accuracy level 5 = neighborhood level)
• No contact information available — finn.no does not expose seller email/phone in listing data

How to scrape finn.no

1. Go to the FINN.no Torget Scraper actor page on Apify.
2. Click Start to open the input editor.
3. Enter your search query, select a region and category, and set maxResults.
4. Click Start to run the actor.
5. When it finishes, open the Dataset tab to preview or export results as JSON, CSV, or Excel.

For automated pipelines, call the actor via the Apify API or use the Apify Python / JavaScript SDK.

Use cases

• Price monitoring — Track prices for specific products across FINN.no Torget to find deals or monitor market trends.
• Inventory feeds — Export structured product data for resale platforms, comparison engines, or internal catalogs.
• Market research — Analyze supply, demand, pricing patterns, and regional availability for specific product categories.
• AI-agent workflows — Feed compact listing data into ranking, classification, or MCP tool chains.

FAQ

What data does this actor return? 35 structured fields per listing including title, price, condition, brand, category path, GPS coordinates, images, seller info, shipping status, and full description.

How fast is it? SERP: ~300ms per page (53 listings). Detail: ~130ms per listing. A 50-listing run with details completes in ~10 seconds.

Can I filter by Norwegian county? Yes — all 16 counties are supported as region filters (Oslo, Akershus, Vestland, etc.).

Does it work without proxy? Yes — this actor uses direct HTTP fetch with no proxy or external services needed.

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