# Finn.no Mobility Scraper — Cars, MC, Boats & More (`blackfalcondata/finn-mobility-scraper`) Actor Scrape finn.no/mobility — Norway's largest vehicle marketplace with 100,000+ active listings. Extract make, model, year, price, mileage, and full spec sheets from 6 categories: cars, motorcycles, boats, B2B machinery, caravans, and mobilehomes. - **URL**: https://apify.com/blackfalcondata/finn-mobility-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** E-commerce - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### What does Finn.no Mobility Scraper do? Finn.no Mobility Scraper extracts structured listing data from [finn.no](https://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, incremental monitoring that only returns new or changed results on recurring runs, and a compact output mode for AI-agent and MCP workflows. ### What data can you extract from finn.no? Each result includes Core listing fields (`listingId`, `adId`, `title`, `make`, `model`, `series`, `modelSpec`, and `year`, and more) and detail fields when enrichment is enabled (`description`, `motorTypeDetail`, `hoursUsedDetail`, and `detailImages`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned. Enable detail enrichment in the input to get richer fields such as full descriptions where the source provides them. ### 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 (e.g. "Toyota", "BMW"). - **`location`** — City or region (e.g. "Oslo", "Bergen"). - **`yearFrom`** — Minimum model year. - **`yearTo`** — Maximum model year. - **`priceFrom`** — Minimum asking price in NOK. - **`priceTo`** — Maximum asking price in NOK. - **`maxResults`** — Maximum number of listings to return (0 = unlimited). (default: `50`) - **`fetchDetails`** — Fetch individual listing pages for full specs, description, and images. Slower but richer output. (default: `false`) - **`descriptionMaxLength`** — Truncate description text to N characters. 0 = no truncation. Only relevant when fetchDetails is true. (default: `0`) - **`compact`** — Return core fields only (listingId, make, model, year, price, mileage, fuel, transmission, location, url). Ideal for AI-agent and MCP workflows. (default: `false`) - ...and 2 more parameters #### Input example ```json { "category": "car", "maxResults": 20, "fetchDetails": false, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false, "query": "Toyota" } ```` ### 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 ```json { "listingId": "c66ef363bf828396ffedebd7724557fb02343458ffa5ca71b12ad39b7555619c", "adId": "458875842", "title": "Tesla Model 3", "make": "Tesla", "model": "Model 3", "series": null, "modelSpec": "Long Range AWD", "year": 2020, "price": 234532, "currency": "NOK", "mileage": 76971, "mileageUnit": "KILOMETER", "fuel": "El", "transmission": "Automat", "registrationClass": "Personbil", "sellerType": "Privat", "salesForm": "1", "registrationNumber": "EB24030", "hasServiceDocuments": ["Service", "Tilstandsrapport"], "imageUrl": "https://images.finncdn.no/dynamic/default/item/458875842/cc17849f-dc4d-44c0-9717-4f0d3e66bd9b", "lat": 59.9548, "lon": 10.64009, "location": "Oslo", "drivingRange": 560, "engineVolume": null, "warrantyDuration": null, "hoursUsed": null, "associationMemberships": null, "dealerGroupId": null, "boatClass": null, "boatLength": null, "boatWidth": null, "maxSpeed": null, "motorFuel": null, "motorSize": null, "motorType": null, "description": null, "bodyType": null, "power": null, "engineSize": null, "co2": null, "driveType": null, "color": null, "seats": null, "doors": null, "weight": null, "maxTowingWeight": null, "euInspectionDue": null, "condition": null, "previousOwners": null, "motorIncluded": null, "motorManufacturer": null, "motorTypeDetail": null, "topSpeed": null, "lengthFt": null, "sleepingBerths": null, "totalWeight": null, "emptyWeight": null, "payload": null, "conditionReport": null, "lengthCm": null, "interiorLengthCm": null, "widthCm": null, "bedType": null, "firstRegistered": null, "registeredSeats": null, "hoursUsedDetail": null, "detailImages": null, "url": "https://www.finn.no/mobility/item/458875842", "portalUrl": "https://www.finn.no/mobility/item/458875842", "publishedAt": "2026-04-06T20:55:53.448Z", "scrapedAt": "2026-04-06T20:56:12.706Z", "source": "finn.no", "changeType": null } ``` ### How to scrape finn.no 1. Go to [Finn.no Mobility Scraper](https://apify.com/blackfalcondata/finn-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 specs, descriptions, and images from individual listing pages. 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](https://docs.apify.com/platform/actors/paid-actors/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** Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient. ### 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](https://apify.com/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](https://docs.apify.com/api/v2). 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](https://apify.com/apify/actors-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](https://apify.com/blackfalcondata/finn-mobility-scraper/issues) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [AutoScout24 Scraper — European Used Cars](https://apify.com/blackfalcondata/autoscout24-scraper) — Scrape autoscout24.com — Europe’s largest used car marketplace with 770K+ listings. Structured. - [Bilbasen Scraper — Denmark’s Car Marketplace](https://apify.com/blackfalcondata/bilbasen-scraper) — Scrape bilbasen.dk — Denmark’s largest car marketplace. Full vehicle specifications, seller contact. - [DBA Scraper — Denmark’s Largest Marketplace](https://apify.com/blackfalcondata/dba-listings-scraper) — Scrape dba.dk — Denmark’s largest marketplace with 500K+ active listings. Prices, condition. - [Finn Torget Scraper — Norwegian Marketplace](https://apify.com/blackfalcondata/finn-torget-scraper) — Scrape finn.no/torget — Norway’s largest classifieds marketplace. Prices, condition, images. - [ImmoScout24 Scraper](https://apify.com/blackfalcondata/immoscout24-scraper) — Scrape immoscout24.de — Germany's leading property marketplace. Sitemap-seeded detail extraction,. - [mobile.de Car Scraper — Germany’s Largest Car Marketplace](https://apify.com/blackfalcondata/mobile-de-scraper) — Scrape mobile.de — Germany’s largest car marketplace. Prices, full specifications, seller details,. - [Upwork Scraper — Freelance Job Listings](https://apify.com/blackfalcondata/upwork-scraper) — Scrape upwork.com — the world’s largest freelance marketplace. Full-text search, budget filters,. - [Willhaben.at Scraper — Austria’s Classifieds](https://apify.com/blackfalcondata/willhaben-all-scraper) — Scrape willhaben.at — Austria’s largest classifieds platform. All four sections including jobs,. # Actor input Schema ## `category` (type: `string`): Vehicle category to scrape. ## `query` (type: `string`): Free-text search keywords (e.g. "Toyota HiLux"). Leave empty to browse all listings. ## `make` (type: `string`): Filter by vehicle make (e.g. "Toyota", "BMW"). ## `location` (type: `string`): City or region (e.g. "Oslo", "Bergen"). ## `yearFrom` (type: `integer`): Minimum model year. ## `yearTo` (type: `integer`): Maximum model year. ## `priceFrom` (type: `integer`): Minimum asking price in NOK. ## `priceTo` (type: `integer`): Maximum asking price in NOK. ## `maxResults` (type: `integer`): Maximum number of listings to return (0 = unlimited). Memory scales with this: ≤1000 results uses 256 MB, >1000 uses 512 MB. ## `fetchDetails` (type: `boolean`): Fetch individual listing pages for full specs, description, and images. Slower but richer output. ## `descriptionMaxLength` (type: `integer`): Truncate description text to N characters. 0 = no truncation. Only relevant when fetchDetails is true. ## `compact` (type: `boolean`): Return core fields only (listingId, make, model, year, price, mileage, fuel, transmission, location, url). Ideal for AI-agent and MCP workflows. ## `incrementalMode` (type: `boolean`): Only emit new or changed listings compared to the previous run. Requires stateKey. ## `stateKey` (type: `string`): Unique identifier for tracking state across runs (e.g. "toyota-hilux-oslo"). Required when incrementalMode is true. ## Actor input object example ```json { "category": "car", "maxResults": 20, "fetchDetails": false, "descriptionMaxLength": 0, "compact": false, "incrementalMode": false } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "maxResults": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/finn-mobility-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "maxResults": 20 } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/finn-mobility-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "maxResults": 20 }' | apify call blackfalcondata/finn-mobility-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/finn-mobility-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Finn.no Mobility Scraper — Cars, MC, Boats & More", "description": "Scrape finn.no/mobility — Norway's largest vehicle marketplace with 100,000+ active listings. Extract make, model, year, price, mileage, and full spec sheets from 6 categories: cars, motorcycles, boats, B2B machinery, caravans, and mobilehomes.", "version": "0.1", "x-build-id": "6eWncFz9GWid1bH81" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~finn-mobility-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-finn-mobility-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/blackfalcondata~finn-mobility-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-finn-mobility-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/blackfalcondata~finn-mobility-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-finn-mobility-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "category": { "title": "Category", "enum": [ "car", "mc", "boat", "b2b", "caravan", "mobilehome" ], "type": "string", "description": "Vehicle category to scrape.", "default": "car" }, "query": { "title": "Search Query", "type": "string", "description": "Free-text search keywords (e.g. \"Toyota HiLux\"). Leave empty to browse all listings." }, "make": { "title": "Make / Brand", "type": "string", "description": "Filter by vehicle make (e.g. \"Toyota\", \"BMW\")." }, "location": { "title": "Location", "type": "string", "description": "City or region (e.g. \"Oslo\", \"Bergen\")." }, "yearFrom": { "title": "Year From", "minimum": 1900, "maximum": 2100, "type": "integer", "description": "Minimum model year." }, "yearTo": { "title": "Year To", "minimum": 1900, "maximum": 2100, "type": "integer", "description": "Maximum model year." }, "priceFrom": { "title": "Price From (NOK)", "minimum": 0, "type": "integer", "description": "Minimum asking price in NOK." }, "priceTo": { "title": "Price To (NOK)", "minimum": 0, "type": "integer", "description": "Maximum asking price in NOK." }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Maximum number of listings to return (0 = unlimited). Memory scales with this: ≤1000 results uses 256 MB, >1000 uses 512 MB.", "default": 50 }, "fetchDetails": { "title": "Fetch Detail Pages", "type": "boolean", "description": "Fetch individual listing pages for full specs, description, and images. Slower but richer output.", "default": false }, "descriptionMaxLength": { "title": "Description Max Length", "minimum": 0, "type": "integer", "description": "Truncate description text to N characters. 0 = no truncation. Only relevant when fetchDetails is true.", "default": 0 }, "compact": { "title": "Compact Output", "type": "boolean", "description": "Return core fields only (listingId, make, model, year, price, mileage, fuel, transmission, location, url). Ideal for AI-agent and MCP workflows.", "default": false }, "incrementalMode": { "title": "Incremental Mode", "type": "boolean", "description": "Only emit new or changed listings compared to the previous run. Requires stateKey.", "default": false }, "stateKey": { "title": "State Key", "type": "string", "description": "Unique identifier for tracking state across runs (e.g. \"toyota-hilux-oslo\"). Required when incrementalMode is true." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```