Finn.no Mobility Scraper - Cars, MC, Boats & More

What does Finn.no Mobility Scraper do?

Finn.no Mobility Scraper extracts structured listing data from finn.no — including full descriptions. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions) where the source provides them.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• ♻️ Incremental mode — daily runs emit only listings that are new or whose price/condition changed since last run. Perfect for inventory-diff dashboards and competitive pricing alerts. Saves 80–95% on recurring monitoring.
• 🔔 Notifications — telegram / Slack / Discord / WhatsApp / webhook alerts on each run. Combine with incremental to ping only when prices or inventory actually move.
• 📋 Detail enrichment — two-stage scraping — list first, then enrich each listing with the full detail-page payload. One input toggle controls the depth.
• 📧 Email + phone extraction — best-effort regex extraction of contact emails and phone numbers from descriptions — emitted as extractedEmails[] and extractedPhones[] on every record.
• 🔗 URL + social-profile extraction — every record carries extractedUrls[] plus a structured socialProfiles { linkedin, twitter, instagram, facebook, youtube, tiktok, github, xing } parsed from the description.
• 💵 Structured pricing — listing price parsed into a numeric price field plus filter inputs (priceFrom / priceTo) so you can target a budget band. Use priceType (where supported) to exclude leasing or wholesale listings.
• 📦 Compact mode — light payload with core fields only — comparable rows across listings without HTML or metadata overhead. Perfect for pricing dashboards.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).

What data can you extract from finn.no?

Each result includes core listing fields (listingId, adId, title, make, model, series, modelSpec, year, price, mileage, fuel, transmission, and more) plus detail-enriched fields when enabled: full description, typed spec projections (bodyType, power, engineSize, co2, weight, seats, doors, maxTowingWeight, euInspectionDue, previousOwners, …), and per-category fields for boats, MCs, mobilehomes, and B2B equipment.

New since v0.3.0: vehicleSpecs raw label-to-value map of the full spec table (future-proof against Schibsted label renames), sellerKnowledge Q&A pairs from "Selgers kjennskap til bilen" (private listings), inspectionReportUrl (vegvesen.no EU-kontroll lookup), updatedAt ("Sist oppdatert" stamp), and dealer infokort fields (streetAddress, dealerOrgNr, dealerPageUrl, dealerYearsOnFinn, dealerTotalAds).

By default (since v0.3.0), null and empty values are dropped from each row to keep output compact for LLM pipelines. Set omitNulls: false if you need a stable schema where every row has every documented field. Enable compact: true for an even smaller payload with only core fields.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• category — Vehicle category to scrape. (default: "car")
• query — Free-text search keywords (e.g. "Toyota HiLux"). Leave empty to browse all listings.
• make — Filter by vehicle make. Brand name (e.g. "Toyota", "BMW") or raw Schibsted variant ID (e.g. "0.749" for BMW). Unknown brands are silently dropped. (default: "")
• location — City or region (e.g. "Oslo", "Bergen").
• yearFrom — Earliest model year to include. Listings with a model year older than this are excluded. Combine with yearTo to bound the range. Leave blank to include all years.
• yearTo — Latest model year to include. Listings with a model year newer than this are excluded. Combine with yearFrom to bound the range. Leave blank to include all years.
• priceFrom — Minimum asking price in NOK.
• priceTo — Maximum asking price in NOK.
• mileageFrom — Minimum mileage in kilometres. (default: 0)
• mileageTo — Maximum mileage in kilometres. (default: 0)
• fuel — Filter by fuel type. Norwegian label or numeric ID both work. (default: "")
• transmission — Filter by transmission type. Norwegian label or numeric ID both work. (default: "")
• ...and 22 more parameters

Input examples

Tesla Model Y — Norway's best-selling used car — The Model Y is the most-sold used car in Norway. Narrow with make: "Tesla" and a free-text query (model names aren't in the SERP filter set — finn.no handles them as a search term).

→ Used Model Y listings with drivingRange (km of battery range), vehicleSpecs table, sellerKnowledge Q&A, dealer infokort (dealerOrgNr, streetAddress, dealerYearsOnFinn), and inspectionReportUrl (vegvesen.no EU-kontroll).

{
  "category": "car",
  "make": "Tesla",
  "query": "Model Y",
  "yearFrom": 2022,
  "priceTo": 500000,
  "maxResults": 200
}

EV market scan — full electric inventory — Pull the full EV market in one run for resale analysis, price-trend tracking, or charger-rollout planning.

→ EV records with drivingRange, fuel: "El", bodyType, power, dealer/private flag, and the full Schibsted spec table — usable for market sizing across all makes.

{
  "category": "car",
  "fuel": "El",
  "yearFrom": 2022,
  "priceTo": 600000,
  "maxResults": 1000
}

Tesla price-drop alerts (incremental + Discord) — Daily incremental run that only emits new or price-changed Model Y listings, then pushes them to your Discord channel. First run builds the baseline; subsequent runs cost ~nothing on quiet days.

→ Only new or changed Model Y dealer listings since the previous run with this stateKey. Each delta is posted as a Discord message with title, price change, mileage, location, and the finn.no URL.

{
  "category": "car",
  "make": "Tesla",
  "query": "Model Y",
  "dealerSegment": "Forhandler",
  "incrementalMode": true,
  "stateKey": "tesla-y-dealer-tracker",
  "discordWebhookUrl": "https://discord.com/api/webhooks/your-webhook-here",
  "notifyOnlyChanges": true,
  "maxResults": 500
}

Family car hunt — automatic diesel, low mileage — Practical first-family-car filter: at most 100 000 km, automatic transmission, post-2018 emissions class, capped at 250k NOK.

→ Diesel automatics with full spec sheets — co2, maxTowingWeight, seats, doors, previousOwners, and (private listings) sellerKnowledge Q&A on rust, service history, accidents.

{
  "category": "car",
  "fuel": "Diesel",
  "transmission": "Automat",
  "yearFrom": 2018,
  "mileageTo": 100000,
  "priceTo": 250000,
  "maxResults": 200
}

Porsche dealer inventory — Premium-segment scan — dealer-only Porsches for collector-market or arbitrage research. Returns dealer infokort fields so you can rank by years on FINN and inventory size.

→ Porsche listings with dealerOrgNr (Brønnøysundregistrene lookup), dealerYearsOnFinn, dealerTotalAds, streetAddress, and dealerPageUrl — useful for sourcing or competitive intel.

{
  "category": "car",
  "make": "Porsche",
  "dealerSegment": "Forhandler",
  "yearFrom": 2015,
  "maxResults": 100
}

Sailboats for the Oslofjord season — Boat category with a free-text query — finn.no's boat SERP returns hull, motor, and dimensional fields.

→ Boat listings with boatLength, boatWidth, boatClass, hullMaterial, maxSpeed, motorIncluded, and motorManufacturer populated.

{
  "category": "boat",
  "query": "seilbåt",
  "priceTo": 500000,
  "maxResults": 100
}

Compact for AI agents — Token-light Tesla Model Y feed for LLM pipelines and MCP tools — only the 10 core fields, no spec tables.

→ Trimmed records: listingId, make, model, year, price, mileage, fuel, transmission, location, url.

{
  "category": "car",
  "make": "Tesla",
  "query": "Model Y",
  "compact": true,
  "maxResults": 50
}

Output

Each run produces a dataset of structured listing records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example listing record

{
  "listingId": "89bb4fee6696e3fc4de558c278ad222d29fb17f4c5a935797d27a8644abcb3ec",
  "adId": "460742367",
  "title": "Tesla Model Y",
  "make": "Tesla",
  "model": "Model Y",
  "modelSpec": "Performance AWD",
  "year": 2022,
  "price": 384532,
  "currency": "NOK",
  "mileage": 73000,
  "mileageUnit": "KILOMETER",
  "fuel": "El",
  "transmission": "Automat",
  "registrationClass": "Personbil",
  "sellerType": "Privat",
  "salesForm": "1",
  "registrationNumber": "EE62447",
  "imageUrl": "https://images.finncdn.no/dynamic/default/item/460742367/2dd49ebd-2559-40fb-ae91-61837b63262f",
  "lat": 59.20767,
  "lon": 10.94617,
  "location": "Fredrikstad",
  "drivingRange": 514,
  "description": "Tesla Model Y Performance AWD til salgsSelger en svært pen og godt utstyrt Tesla Model Y Performance – dette er ikke standardutgaven, men Performance-varianten med merkbart mer kraft og kjøreglede. Bi...",
  "descriptionMarkdown": "Tesla Model Y Performance AWD til salgsSelger en svært pen og godt utstyrt Tesla Model Y Performance – dette er ikke standardutgaven, men Performance-varianten med merkbart mer kraft og kjøreglede. Bi...",
  "contentHash": "61777c1fa8e725ef340db57b0f2adb6860e2510002ba57dc25a876335b29cf96",
  "bodyType": "SUV/Offroad",
  "power": "534 hk",
  "driveType": "Firehjulsdrift",
  "color": "Svart",
  "seats": 5,
  "doors": 5,
  "weight": "1 997 kg",
  "maxTowingWeight": "1 600 kg",
  "euInspectionDue": "13.07.2026",
  "previousOwners": 3,
  "firstRegistered": "13.07.2022",
  "detailImages": [
    "https://images.finncdn.no/dynamic/default/item/460742367/2dd49ebd-2559-40fb-ae91-61837b63262f",
    "https://images.finncdn.no/dynamic/default/item/460742367/f004ded3-0b97-4c5e-b5ee-884234a56ee8",
    "https://images.finncdn.no/dynamic/default/item/460742367/9044d719-e07e-4656-8640-7f951ab1b65e"
  ],
  "vehicleSpecs": {
    "Omregistrering": "4 532 kr (avgifter)",
    "Årsavgift": "Les mer",
    "Merke": "Tesla",
    "Modell": "Model Y",
    "Modellår": "2022",
    "Karosseri": "SUV/Offroad",
    "Drivstoff": "El",
    "Effekt": "534 hk",
    "Kilometerstand": "73 000 km",
    "Batterikapasitet": "76 kWh",
    "Rekkevidde (WLTP)WLTP er et måltall fra bilen var ny og reell rekkevidde må sees i sammenheng med alder, km, kjøremønster og værforhold": "514 km",
    "Girkasse": "Automat",
    "Maksimal tilhengervekt": "1 600 kg",
    "Hjuldrift": "Firehjulsdrift",
    "Vekt": "1 997 kg",
    "Seter": "5",
    "Dører": "5",
    "Farge": "Svart",
    "Bilen står i": "Norge",
    "Neste frist for EU-kontroll": "13.07.2026",
    "Avgiftsklasse": "Personbil",
    "Registreringsnummer": "EE62447",
    "Eiere": "3",
    "Salgsform": "Bruktbil til salgs",
    "Pris eksl. omreg.": "380 000 kr",
    "Chassis nr. (VIN)": "XP7YGCEL5NB009433",
    "1. gang registrert": "13.07.2022"
  },
  "sellerKnowledge": {
    "Har bilen heftelser/gjeld?": "Ja."
  },
  "inspectionReportUrl": "https://www.vegvesen.no/kjoretoy/kjop-og-salg/kjoretoyopplysninger/sjekk-kjoretoyopplysninger?registreringsnummer=EE62447",
  "updatedAt": "2026-05-12T22:24",
  "url": "https://www.finn.no/mobility/item/460742367",
  "portalUrl": "https://www.finn.no/mobility/item/460742367",
  "publishedAt": "2026-05-12T20:28:33Z",
  "scrapedAt": "2026-05-12T20:48:58.428Z",
  "source": "finn.no",
  "isRepost": false
}

Incremental fields

When incremental: true, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape finn.no

1. Go to Finn.no Mobility Scraper in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable fetchDetails if you need full descriptions.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract listing data from finn.no for market research and competitive analysis.
• Track pricing trends across regions and categories over time.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape finn.no?

Finn.no Mobility Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.005 per run
• Per result: $0.003 per listing record

Example costs:

• 10 results: $0.03
• 100 results: $0.3
• 500 results: $1.5

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 200 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.60	$0.03	$0.57 (94%)	$1.05
15% — moderate broad query	$0.60	$0.10	$0.51 (84%)	$2.85
30% — high-volume aggregator	$0.60	$0.18	$0.42 (69%)	$5.55

Full re-scrape monthly cost at daily polling: $18.15. First month with incremental costs $1.62 / $3.36 / $5.97 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from finn.no?

The number of results depends on the search query and available listings on finn.no. Use the maxResults parameter to control how many results are returned per run.

Does Finn.no Mobility Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Finn.no Mobility Scraper with other apps?

Yes. Finn.no Mobility Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Finn.no Mobility Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Finn.no Mobility Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode and descriptionMaxLength to keep payloads manageable for LLM context windows.

Is it legal to scrape finn.no?

This actor extracts publicly available data from finn.no. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.