# Nordic Real Estate Portal Scraper (`jungle_synthesizer/nordic-real-estate-portal-scraper`) Actor Scrape active property listings from Hemnet (Sweden), Finn.no (Norway), Boligsiden (Denmark), and Etuovi (Finland) in one run. Returns price, area, rooms, energy class, broker details, and — uniquely — publicly available sold-price records. Pan-Nordic coverage in a single unified schema. - **URL**: https://apify.com/jungle\_synthesizer/nordic-real-estate-portal-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Nordic Real Estate Portal Scraper Scrapes active property listings from [Hemnet](https://www.hemnet.se) (Sweden), [Finn.no](https://www.finn.no) (Norway), [Boligsiden](https://www.boligsiden.dk) (Denmark), and [Etuovi](https://www.etuovi.com) (Finland) in a single run. Returns price, area, rooms, energy class, broker details, and publicly available sold-price records — pan-Nordic coverage in one unified schema. --- ### Nordic Real Estate Portal Scraper Features - Covers all four major Nordic real estate markets in one actor — no juggling four separate scrapers - Extracts 30+ structured fields per listing: price, area, rooms, year built, energy class, tenure, and full broker contact details - Includes publicly disclosed sold-price records where platforms expose them (common in Nordic markets) - Filters by listing type: for-sale or rental listings, or both - Respects per-country quotas, distributing `maxItems` evenly across selected countries - Runs with residential proxy rotation to handle Cloudflare-protected sites (Hemnet, Boligsiden) - Returns geographic data — address, city, postal code, municipality, region, and lat/lon where available --- ### What Can You Do With Nordic Real Estate Data? - **Real estate investors** — Screen listings across multiple markets simultaneously to find cross-border opportunities - **Market analysts** — Track asking prices, days-on-market, and sold prices across Sweden, Norway, Denmark, and Finland - **Proptech startups** — Build multi-market property search tools or price comparison dashboards - **Academic researchers** — Gather housing market data for comparative Nordic studies - **Relocation services** — Feed curated listings into client portals covering the entire region --- ### How Nordic Real Estate Portal Scraper Works 1. Configure which countries to include (`SE`, `NO`, `DK`, `FI`) and how many listings to return. Leave countries empty to scrape all four. 2. The scraper visits each platform's search results page using a browser with residential proxy rotation. 3. Listings are extracted from search cards: price, area, rooms, property type, broker name, and direct URL are pulled from the listing index. 4. Results are unified into a consistent schema regardless of source platform, then saved to the dataset. --- ### Input ```json { "countries": ["SE", "NO", "DK", "FI"], "listingType": "sale", "maxItems": 50 } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `countries` | array | `["SE","NO","DK","FI"]` | Country codes to scrape. Valid values: `SE` (Hemnet), `NO` (Finn.no), `DK` (Boligsiden), `FI` (Etuovi). Leave empty to scrape all. | | `listingType` | string | `"sale"` | Filter by listing type. `"sale"` for properties for sale, `"rent"` for rentals, `"all"` for both. | | `maxItems` | integer | `10` | Maximum number of records to return across all selected countries. | **Single country example:** ```json { "countries": ["NO"], "listingType": "rent", "maxItems": 100 } ``` *** ### Nordic Real Estate Portal Scraper Output Fields ```json { "listing_id": "20043617", "country": "FI", "platform": "etuovi", "url": "https://www.etuovi.com/kohde/20043617", "listing_type": "sale", "property_type": "Kerrostalo", "title": "Asunto Oy Helsingin Runeberginkatu 35, Helsinki", "price": 385000, "currency": "EUR", "monthly_fee": 320, "area_living_m2": 68.5, "area_total_m2": null, "rooms": 3, "bedrooms": 2, "year_built": 1962, "year_renovated": null, "energy_class": "D", "tenure": "owned", "address": "Runeberginkatu 35", "city": "Helsinki", "postal_code": "00100", "municipality": "Helsinki", "region": "Uusimaa", "latitude": 60.1699, "longitude": 24.9384, "broker_firm": "Kiinteistömaailma Helsinki", "broker_name": "Matti Virtanen", "broker_email": null, "broker_phone": "+358 40 123 4567", "days_on_market": 12, "listed_at": "2026-05-04T00:00:00.000Z", "sold_at": null, "sold_price": null } ``` | Field | Type | Description | |-------|------|-------------| | `listing_id` | string | Unique listing identifier from the source platform | | `country` | string | Country code: `SE`, `NO`, `DK`, or `FI` | | `platform` | string | Source platform: `hemnet`, `finn`, `boligsiden`, or `etuovi` | | `url` | string | Direct URL to the listing page | | `listing_type` | string | `sale` or `rent` | | `property_type` | string | Property type in local language (villa, apartment, terraced house, etc.) | | `title` | string | Full listing title | | `price` | number | Asking price in local currency | | `currency` | string | Currency code: `SEK`, `NOK`, `DKK`, or `EUR` | | `monthly_fee` | number | Monthly housing association fee or common expenses | | `area_living_m2` | number | Living area in square metres | | `area_total_m2` | number | Total area including auxiliary space | | `rooms` | integer | Total number of rooms | | `bedrooms` | integer | Number of bedrooms | | `year_built` | integer | Year the property was built | | `year_renovated` | integer | Year of last renovation | | `energy_class` | string | Energy efficiency class (A-G) | | `tenure` | string | Tenure type: `owned`, `cooperative`, or `rental` | | `address` | string | Street address | | `city` | string | City name | | `postal_code` | string | Postal code | | `municipality` | string | Municipality name | | `region` | string | Region or county name | | `latitude` | number | Latitude coordinate | | `longitude` | number | Longitude coordinate | | `broker_firm` | string | Brokerage firm name | | `broker_name` | string | Individual broker or agent name | | `broker_email` | string | Broker contact email | | `broker_phone` | string | Broker contact phone number | | `days_on_market` | integer | Days the listing has been active | | `listed_at` | string | Date the listing was published (ISO 8601) | | `sold_at` | string | Date the property was sold, if available (ISO 8601) | | `sold_price` | number | Final sold price in local currency, where publicly disclosed | *** ### FAQ #### How do I scrape all four Nordic real estate markets at once? Nordic Real Estate Portal Scraper runs all four by default. Set `countries` to `["SE","NO","DK","FI"]` (or leave it empty) and the scraper visits each platform in sequence, distributing `maxItems` evenly across the selected countries. #### What data can I get from Hemnet, Finn.no, Boligsiden, and Etuovi? Nordic Real Estate Portal Scraper returns 30+ fields per listing: price, area, rooms, property type, energy class, tenure, broker contact details, and geographic data. Publicly available sold-price records are included where platforms expose them — which Nordic markets do more readily than most. #### Does Nordic Real Estate Portal Scraper need proxies? It does. Hemnet and Boligsiden are Cloudflare-protected, so the scraper uses residential proxy rotation to access them. Finn.no and Etuovi work without this, but the actor uses residential proxies across all platforms for consistency. #### How much does it cost to run? Nordic Real Estate Portal Scraper uses pay-per-event pricing at ~$0.002 per listing. A run returning 1,000 listings across all four countries costs roughly $2 plus the Apify compute overhead. #### Can I filter by listing type? Set `listingType` to `"sale"` for properties for sale, `"rent"` for rentals, or `"all"` for both. Availability of rental listings varies by platform. *** ### Need More Features? Need additional fields, different markets, or a custom filter? [File an issue](https://console.apify.com/actors/V8PX42mY3BTb59NeU/issues) or get in touch. ### Why Use Nordic Real Estate Portal Scraper? - **Pan-Nordic coverage** — Four countries, four platforms, one actor. No integrating four separate scrapers. - **Unified schema** — Output fields are consistent regardless of source. `price` is always a number, `currency` tells you the unit, and field names stay the same whether you're pulling from Sweden or Finland. - **Sold-price data** — Nordic countries publish sold prices publicly, and this scraper collects them where available — a dataset that's harder to get in most other markets. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `countries` (type: `array`): List of Nordic countries to scrape. Valid values: "SE" (Hemnet/Sweden), "NO" (Finn.no/Norway), "DK" (Boligsiden/Denmark), "FI" (Etuovi/Finland). Leave empty to scrape all countries. ## `listingType` (type: `string`): Filter by listing type. "sale" for properties for sale, "rent" for rentals. ## `maxItems` (type: `integer`): Maximum number of records to scrape across all countries ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "countries": [ "SE", "NO", "DK", "FI" ], "listingType": "sale", "maxItems": 10 } ``` # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "countries": [ "SE", "NO", "DK", "FI" ], "listingType": "sale", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/nordic-real-estate-portal-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "countries": [ "SE", "NO", "DK", "FI", ], "listingType": "sale", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/nordic-real-estate-portal-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "countries": [ "SE", "NO", "DK", "FI" ], "listingType": "sale", "maxItems": 10 }' | apify call jungle_synthesizer/nordic-real-estate-portal-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/nordic-real-estate-portal-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Nordic Real Estate Portal Scraper", "description": "Scrape active property listings from Hemnet (Sweden), Finn.no (Norway), Boligsiden (Denmark), and Etuovi (Finland) in one run. Returns price, area, rooms, energy class, broker details, and — uniquely — publicly available sold-price records. Pan-Nordic coverage in a single unified schema.\n", "version": "0.1", "x-build-id": "RUmqT02LlQpDwL2QZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~nordic-real-estate-portal-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-nordic-real-estate-portal-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~nordic-real-estate-portal-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-nordic-real-estate-portal-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~nordic-real-estate-portal-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-nordic-real-estate-portal-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "countries": { "title": "Countries to scrape", "type": "array", "description": "List of Nordic countries to scrape. Valid values: \"SE\" (Hemnet/Sweden), \"NO\" (Finn.no/Norway), \"DK\" (Boligsiden/Denmark), \"FI\" (Etuovi/Finland). Leave empty to scrape all countries.\n", "items": { "type": "string" } }, "listingType": { "title": "Listing type", "enum": [ "sale", "rent", "all" ], "type": "string", "description": "Filter by listing type. \"sale\" for properties for sale, \"rent\" for rentals." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to scrape across all countries" } } }, "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 } } } } } } } } } } ```