# Hemnet Scraper (`stable.scraper/hemnet-scraper`) Actor Extracts comprehensive Swedish real estate data from Hemnet.se. Supports search by location/filters or specific URLs. Crawls 50+ property attributes including prices, specs, broker details. TypeScript/Crawlee-powered with rate limiting, error handling & CSV/JSON output - **URL**: https://apify.com/stable.scraper/hemnet-scraper.md - **Developed by:** [Duarte](https://apify.com/stable.scraper) (community) - **Categories:** Real estate, Developer tools, Automation - **Stats:** 28 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $39.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## 🏠 Hemnet Scraper - Extract Swedish Real Estate Data [![Apify Actor](https://img.shields.io/badge/Apify-Actor-orange)](https://apify.com/actors) **Extract property listings from Hemnet.se** - Sweden's #1 real estate platform. This Hemnet scraper gets fastighet prices, bostad locations, mäklare details, and bostadsmarknad data with automated scraping and anti-blocking protection. --- ### 🚀 What can this Hemnet scraper extract? Transform Hemnet.se bostäder into structured data for your Swedish fastighetsmarknad projects: 🏘️ **Fastighet Listings** - Bostadspriser, rooms, kvadratmeter, addresses - Property types: apartments (lägenhet), houses (villa), townhouses (radhus) - Månadsavgift, byggår, floor levels, ownership types 📍 **Location Intelligence** - Full Swedish addresses with postnummer - Stadsdel, kommuner, counties (län) - Geographic mapping for fastighetsmarknad analysis 👥 **Mäklare & Agency Data** - Real estate agent names and kontaktuppgifter - Fastighetsmäkleri details and phone numbers - Professional listings for lead generation 📸 **Rich Property Details** - Property descriptions and features - High-quality images (optional) - Property characteristics and amenities --- ### 💼 Perfect for Swedish real estate professionals #### 🏢 **Fastighetsmäklare & Agents** - **Marknadsanalys**: Analyze competitor pricing in Stockholm, Göteborg, Malmö - **Lead generation**: Find potential säljare and köpare across Sweden - **Portfolio analysis**: Track fastighet trends in specific Swedish kommuner #### 💰 **Fastighetsinvesterare** - **Investment opportunities**: Monitor undervalued bostäder nationwide - **Market trends**: Track price developments in Swedish bostadsmarknad - **ROI analysis**: Compare rental yields across different Swedish regioner #### 📊 **Market Researchers & Analysts** - **Housing market studies**: Comprehensive Swedish property market data - **Price prediction models**: Historical and current market intelligence - **Regional analysis**: Compare housing markets across Swedish counties #### 👨‍💻 **Developers & Data Scientists** - **PropTech applications**: Build Swedish real estate apps and platforms - **API integration**: Automated property data feeds for websites - **Machine learning**: Training data for Swedish housing price models --- ### 🎯 How to scrape Hemnet fastighet data #### Option 1: Search Swedish locations (Recommended) Perfect for market research and broad data collection: ```json { "mode": "search", "location": "Stockholm", "propertyTypes": ["lägenhet", "villa"], "priceMin": 3000000, "priceMax": 8000000, "roomsMin": 2, "maxPages": 5, "outputFormat": "json" } ```` **Popular Swedish locations**: Stockholm, Göteborg, Malmö, Uppsala, Västerås, Örebro, Linköping, Helsingborg, Jönköping, Norrköping #### Option 2: Scrape specific Hemnet URLs Target specific properties or search results: ```json { "mode": "urls", "urls": [ "https://www.hemnet.se/bostader?location_ids%5B%5D=925968", "https://www.hemnet.se/bostad/lagenhet-3rum-stockholm..." ], "extractImages": true, "outputFormat": "csv" } ``` *** ### ⚙️ Input configuration guide | Parameter | Type | Description | Example | |-----------|------|-------------|---------| | **mode** | `string` | `"search"` for locations, `"urls"` for specific links | `"search"` | | **location** | `string` | Swedish city, municipality, or region | `"Göteborg"` | | **urls** | `array` | Specific Hemnet URLs to scrape | `["https://hemnet.se/..."]` | | **propertyTypes** | `array` | Property types to include | `["villa", "lägenhet"]` | | **priceMin/Max** | `number` | Price range in Swedish kronor (SEK) | `2000000` | | **roomsMin/Max** | `number` | Number of rooms filter | `3` | | **maxPages** | `number` | Maximum search pages to process | `10` | | **maxItems** | `number` | Limit total properties extracted | `100` | | **extractImages** | `boolean` | Include property photos | `true` | | **outputFormat** | `string` | Data format: `"json"` or `"csv"` | `"json"` | #### 🏠 Swedish property types supported | Swedish Term | English | Best For | |-------------|---------|----------| | **lägenhet** | Apartment | Urban market analysis | | **villa** | House/Villa | Suburban investment research | | **radhus** | Townhouse | Family housing trends | | **parhus** | Semi-detached | Mid-market analysis | | **fritidshus** | Holiday home | Leisure property market | | **tomt** | Plot/Land | Development opportunities | *** ### 📋 Swedish fastighet data output Get comprehensive bostad data in clean, structured format from this Hemnet scraper: ```json { "url": "https://www.hemnet.se/bostad/lagenhet-stockholm...", "title": "3 rum, 75 m², Södermalm - Götgatan 42", "price": { "amount": 5200000, "currency": "SEK", "formatted": "5 200 000 kr" }, "location": { "address": "Götgatan 42", "postalCode": "11846", "district": "Södermalm", "municipality": "Stockholms kommun", "county": "Stockholms län" }, "property": { "type": "Lägenhet", "rooms": "3 rum", "area": 75, "buildYear": 1920, "floor": "2 tr", "monthlyFee": 3450, "ownership": "Bostadsrätt" }, "broker": { "name": "Erik Lindqvist", "agency": "Mäklarhuset Stockholm", "phone": "+46 8 555 000 99" }, "description": "Charmig 3:a med originaldetaljer...", "features": ["Balkong", "Hiss", "Nära tunnelbana"], "images": ["https://bilder.hemnet.se/images/..."], "extractionMeta": { "scrapedAt": "2024-01-15T14:30:00Z", "dataSource": "structured_data" } } ``` **Export formats available**: JSON, CSV, Excel, XML via Apify platform *** ### ❓ Frequently asked questions about this Hemnet scraper #### 🔒 Is scraping Hemnet legal? Yes, our scraper only extracts **publicly available data** from Hemnet with respectful rate limits. We comply with Hemnet's robots.txt and terms of service. Always ensure your specific use case complies with Swedish data protection laws and your jurisdiction's regulations. #### ⚡ How fast can I extract Swedish fastighet data? Processing speed depends on your requirements: - **Search results**: ~50-100 properties per minute - **Detailed pages**: ~10-20 properties per minute - **With images**: Slower due to download requirements **Tip**: Start with small batches (1-2 pages) to test performance for your specific needs. #### 🛠️ What if the Hemnet scraper stops working? We actively monitor Hemnet for changes and update the scraper regularly: 1. **Check Issues tab** for known problems and solutions 2. **Report new issues** with specific error details and URLs 3. **Reduce scope** (fewer pages/properties) if experiencing timeouts 4. **Contact support** for urgent business-critical issues #### 📅 Can I automate regular Swedish bostad data collection? **Absolutely!** Use Apify's scheduling features: - **Daily monitoring**: Track new listings in Swedish cities - **Weekly reports**: Property market trends across regions - **Monthly analysis**: Long-term Swedish housing market data - **Custom intervals**: Set your preferred automation schedule #### 🌐 Does the scraper handle Swedish geographic data correctly? Yes, our scraper includes **Swedish location intelligence**: - Recognizes Swedish city names (Stockholm, Göteborg, Malmö, etc.) - Maps municipalities and counties (län) correctly - Handles Swedish address formats and postal codes - Supports regional filtering across Sweden #### 📊 How do I handle large Swedish fastighet datasets? **Best practices for large-scale extraction**: - Use `maxItems` parameter to control dataset size - Process data in smaller regional batches (by län or kommun) - Enable webhook notifications for completion alerts - Download results incrementally to manage memory usage *** ### 🎯 Pro tips for Swedish fastighet data extraction with Hemnet scraper #### 🏙️ **Location targeting** - **Major cities**: Use "Stockholm", "Göteborg", "Malmö" for broad market data - **Specific areas**: Try "Vasastan Stockholm" or "Majorna Göteborg" for neighborhood analysis - **Regions**: Target entire counties like "Stockholms län" for comprehensive coverage #### 💡 **Optimization strategies** - **Start small**: Test with 1-2 pages before large-scale extraction - **Smart filtering**: Combine price + room filters to reduce noise - **Image strategy**: Only enable images if essential (increases processing time) - **Batch processing**: Split large regions into smaller geographic areas #### 📈 **Data quality tips** - **Monitor runs**: Check Apify Console for detailed extraction statistics - **Validate results**: Cross-reference with manual Hemnet searches - **Error handling**: Review failed extractions and adjust parameters - **Regular updates**: Schedule regular runs to maintain fresh data *** ### 🔌 Integrate with your Swedish PropTech stack **Seamless integration options**: 📊 **Analytics & BI** - Export to Google Sheets for market analysis - Power BI dashboards for Swedish property trends - Tableau visualizations of regional data 🔄 **Automation & Workflows** - Zapier integration for automated workflows - Make.com for complex data processing pipelines - Custom webhooks for real-time notifications 💻 **Development & API** - RESTful API access for Swedish property data - JavaScript/Python SDK integration - Real-time data feeds for PropTech applications 📱 **Business Applications** - CRM integration for real estate agencies - Lead generation systems for Swedish market - Investment analysis tools for property portfolios *** ### 🏘️ More Swedish real estate data solutions **Expand your Swedish property market intelligence**: - 🏠 **Booli Scraper** - Alternative Swedish property portal data - 📊 **Mäklarstatistik Scraper** - Historical price data and market statistics - 🏢 **Commercial Property Scrapers** - Office and retail property data - 🔧 **Custom Solutions** - Tailored scrapers for specific Swedish real estate needs *Need a specialized solution? Contact us for custom Swedish real estate data extraction.* *** **🚀 Ready to extract Swedish fastighet data?** Click "Try for free" to start using this Hemnet scraper today! **💬 Need support?** Check the Issues tab or contact us for Swedish bostadsmarknad data expertise. # Actor input Schema ## `mode` (type: `string`): Choose how you want to crawl Hemnet ## `urls` (type: `array`): List of Hemnet URLs to scrape (required for URLs mode) ## `location` (type: `string`): Swedish city, municipality, or region to search. Leave empty to get the latest properties from all of Sweden. ## `priceMin` (type: `integer`): Minimum price filter in Swedish Kronor. Leave empty for no minimum limit. ## `priceMax` (type: `integer`): Maximum price filter in Swedish Kronor. Leave empty for no maximum limit. ## `roomsMin` (type: `integer`): Minimum number of rooms. Leave empty for no minimum limit. ## `roomsMax` (type: `integer`): Maximum number of rooms. Leave empty for no maximum limit. ## `propertyTypes` (type: `array`): Types of properties to include in the search. Leave empty for all types. ## `maxItems` (type: `integer`): Maximum number of properties to extract (recommended for fast results). This limits the total results regardless of pages crawled. ## `maxPages` (type: `integer`): Maximum number of search result pages to crawl. Set to 0 for unlimited pages (limited only by maxItems). Note: Each page typically contains ~50 properties. ## `extractImages` (type: `boolean`): Whether to extract property images ## `outputFormat` (type: `string`): Format for the output data ## Actor input object example ```json { "mode": "search", "propertyTypes": [], "maxItems": 8, "maxPages": 0, "extractImages": false, "outputFormat": "json" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("stable.scraper/hemnet-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 = {} # Run the Actor and wait for it to finish run = client.actor("stable.scraper/hemnet-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 '{}' | apify call stable.scraper/hemnet-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stable.scraper/hemnet-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hemnet Scraper", "description": "Extracts comprehensive Swedish real estate data from Hemnet.se. Supports search by location/filters or specific URLs. Crawls 50+ property attributes including prices, specs, broker details. TypeScript/Crawlee-powered with rate limiting, error handling & CSV/JSON output", "version": "1.6", "x-build-id": "Fy3G20B5cCyXXeBtf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stable.scraper~hemnet-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stable.scraper-hemnet-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stable.scraper~hemnet-scraper/runs": { "post": { "operationId": "runs-sync-stable.scraper-hemnet-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stable.scraper~hemnet-scraper/run-sync": { "post": { "operationId": "run-sync-stable.scraper-hemnet-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Crawling Mode", "enum": [ "urls", "search" ], "type": "string", "description": "Choose how you want to crawl Hemnet", "default": "search" }, "urls": { "title": "URLs to Scrape", "type": "array", "description": "List of Hemnet URLs to scrape (required for URLs mode)", "items": { "type": "string" } }, "location": { "title": "Location (Optional)", "type": "string", "description": "Swedish city, municipality, or region to search. Leave empty to get the latest properties from all of Sweden." }, "priceMin": { "title": "Minimum Price (SEK)", "minimum": 0, "type": "integer", "description": "Minimum price filter in Swedish Kronor. Leave empty for no minimum limit." }, "priceMax": { "title": "Maximum Price (SEK)", "minimum": 0, "type": "integer", "description": "Maximum price filter in Swedish Kronor. Leave empty for no maximum limit." }, "roomsMin": { "title": "Minimum Rooms", "minimum": 1, "type": "integer", "description": "Minimum number of rooms. Leave empty for no minimum limit." }, "roomsMax": { "title": "Maximum Rooms", "minimum": 1, "type": "integer", "description": "Maximum number of rooms. Leave empty for no maximum limit." }, "propertyTypes": { "title": "Property Types", "type": "array", "description": "Types of properties to include in the search. Leave empty for all types.", "items": { "type": "string", "enum": [ "villa", "lägenhet", "fritidshus", "tomt", "gård", "radhus", "parhus" ] }, "default": [] }, "maxItems": { "title": "Maximum Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of properties to extract (recommended for fast results). This limits the total results regardless of pages crawled.", "default": 8 }, "maxPages": { "title": "Maximum Pages", "minimum": 0, "maximum": 100, "type": "integer", "description": "Maximum number of search result pages to crawl. Set to 0 for unlimited pages (limited only by maxItems). Note: Each page typically contains ~50 properties.", "default": 0 }, "extractImages": { "title": "Extract Images", "type": "boolean", "description": "Whether to extract property images", "default": false }, "outputFormat": { "title": "Output Format", "enum": [ "json", "csv" ], "type": "string", "description": "Format for the output data", "default": "json" } } }, "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 } } } } } } } } } } ```