Hemnet Property Details Scraper
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$20.00/month + usage
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Hemnet Property Details Scraper
Automate property data extraction from Hemnet.se, Sweden's leading real estate platform. Collect comprehensive listing details including prices, specifications, broker information, and images from over 90% of Swedish property sales. Perfect for market analysis, price tracking, real estate research.
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Pricing
$20.00/month + usage
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Hemnet.se Scraper: Extract Property Data - Market Intelligence & Pricing
Introduction: Why Scrape Hemnet.se?
Hemnet.se is Sweden's largest property platform, receiving over 40 million visits per month and listing approximately 90% of all properties sold in Sweden. As the primary marketplace where Swedish homebuyers and sellers connect, Hemnet contains invaluable real estate data that can transform how professionals analyze the housing market.
For real estate investors, market analysts, property developers, and research professionals, manually collecting data from thousands of listings is impractical. The Hemnet.se Property Scraper solves this challenge by automating the extraction of detailed property information, enabling data-driven decision-making in Sweden's dynamic real estate market.
Whether you're tracking price trends across different regions, analyzing property characteristics, monitoring specific neighborhoods, or conducting comprehensive market research, this scraper provides reliable access to the data you need.
Overview: Comprehensive Property Data Extraction
The Hemnet.se Property Scraper is designed to extract detailed information from individual property listings on Sweden's premier real estate platform. This tool systematically collects over 30 data points from each listing, including financial details, property specifications, location information, and visual assets.
Key Features:
- Automated Data Collection: Process multiple property URLs simultaneously with configurable retry mechanisms
- Proxy Support: Residential proxy integration prevents bot detection and ensures consistent access
- Comprehensive Data Coverage: Extracts 30+ fields including prices, specifications, broker details, and images
- Error Handling: Built-in failure tolerance with configurable retry attempts per URL
- Flexible Output: Structured data format ready for analysis, integration, or database storage
Ideal For:
- Real estate analysts tracking market trends and price movements
- Property investors researching investment opportunities
- Market researchers studying housing patterns and demographics
- Real estate agencies conducting competitive analysis
- Academic researchers studying urban development and housing economics
Input and Output Specifications
Example url 1: https://www.hemnet.se/bostad/villa-10rum-jakobsberg-vastra-jarfalla-kommun-nybodavagen-32-21572671
Example url 2: https://www.hemnet.se/bostad/villa-5rum-kyrkbyn-goteborgs-kommun-korsklevegatan-9-21592500
Example url 3: https://www.hemnet.se/bostad/lagenhet-3rum-trandared-boras-kommun-kransvagen-186-21505079
Example Screenshot of property information page:
Input Format
The scraper accepts JSON configuration with specific parameters to control the extraction process:
Parameter Explanations
max_retries_per_url (Number, default: 2)
- Defines how many times the scraper will retry accessing a URL if the initial attempt fails
- Recommended value: 2-3 for balance between thoroughness and efficiency
- Higher values increase success rate but extend processing time
proxy (Object)
- useApifyProxy (Boolean): Enables proxy rotation to avoid IP blocking and bot detection
- apifyProxyGroups (Array): Specify proxy type - "RESIDENTIAL" is recommended for Hemnet as it mimics genuine user traffic
- apifyProxyCountry (String): Set to "SE" (Sweden) for optimal performance and to match the target market; using Swedish IPs reduces the likelihood of geographic restrictions
ignore_url_failures (Boolean, default: true)
- When set to true, the scraper continues processing remaining URLs even if some fail
- Recommended for batch processing to maximize data collection
- Set to false only if you require all URLs to succeed
urls (Array of Strings)
- List of complete Hemnet.se property listing URLs
- Each URL must be a direct link to a specific property page
- No limit on array size, but consider processing time for large batches
Output Format and Data Fields
You get the output from the hemnet.it Property Details Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.
The scraper extracts an extensive range of property data fields, each serving specific analytical and business purposes:
Property Identification
ID (String)
- Unique Hemnet listing identifier extracted from the URL
- Use for: Database primary keys, tracking specific properties over time, avoiding duplicate entries
URL (String)
- Complete link to the original property listing
- Use for: Direct reference, verification, sharing with stakeholders, re-scraping updated information
Title (String)
- Property headline typically including type, room count, and location
- Use for: Quick identification, search indexing, report generation
Location Information
Street Address (String)
- Complete street address including street name and number
- Use for: Geocoding, neighborhood analysis, proximity calculations
Post Code (String)
- Swedish postal code (typically 5 digits with space: "XXX XX")
- Use for: Regional segmentation, demographic matching, delivery route planning
Area (String)
- District or neighborhood name within the municipality
- Use for: Micro-market analysis, neighborhood comparison, local trend identification
Locations (Array of Objects)
- Hierarchical location data (city, municipality, region)
- Use for: Multi-level geographic analysis, filtering by administrative boundaries
Financial Data
Asking Price (String)
- Formatted asking price with currency (e.g., "3 500 000 kr")
- Use for: Display purposes, human-readable reports
Asking Price Amount (Number)
- Numerical value of asking price without formatting
- Use for: Calculations, price trend analysis, statistical modeling, comparison algorithms
Square Meter Price (Number)
- Price per square meter (kr/m²)
- Use for: Value comparison across different-sized properties, identifying over/underpriced listings
Monthly Fee (String)
- Formatted monthly maintenance fee (for apartments/condos)
- Use for: Display in reports
Monthly Fee Amount (Number)
- Numerical monthly fee value
- Use for: Total ownership cost calculations, comparing cooperative housing options
Running Costs (String/Number)
- Ongoing operational costs (utilities, maintenance for houses)
- Use for: Total cost of ownership analysis, budget planning
Property Specifications
Number of Rooms (String)
- Room count (e.g., "3 rum" or "5 rum och kök")
- Use for: Property categorization, family size matching, filtering search results
Living Area (String)
- Formatted living space with unit (e.g., "85 m²")
- Use for: Display purposes
Living Area (sqm) (Number)
- Numerical square meter value
- Use for: Space calculations, price-per-meter calculations, size-based filtering
Floor (String/Number)
- Floor number for apartments (e.g., "2" or "2 av 4")
- Use for: Preference filtering, accessibility considerations, view potential assessment
Construction Year (String/Number)
- Year the building was constructed
- Use for: Age analysis, renovation needs assessment, energy efficiency estimation, historical value
Energy Class (String)
- Energy rating classification (A-G scale)
- Use for: Sustainability analysis, operating cost estimation, environmental compliance
Housing Form (String)
- Property type classification (e.g., "Bostadsrätt", "Villa", "Radhus")
- Use for: Market segmentation, investment category filtering, legal classification
Tenure (String)
- Ownership form (e.g., "Äganderätt" - freehold, "Bostadsrätt" - cooperative)
- Use for: Legal analysis, financing options, investment risk assessment
Property Details
Description (String/Text)
- Full property description from the listing
- Use for: Feature extraction, sentiment analysis, marketing copy analysis, NLP processing
Amenities (Array of Strings)
- List of features and facilities (e.g., "Balkong", "Hiss", "Fiber")
- Use for: Feature-based filtering, amenity value analysis, buyer preference matching
Labels (Array of Strings)
- Special tags or badges (e.g., "Nyproduktion", "Nytt pris")
- Use for: Identifying recently reduced prices, new construction, urgent sales
Market Activity
Bidding Ongoing (Boolean)
- Indicates if active bidding is in progress
- Use for: Hot market identification, urgency assessment, price prediction modeling
Days on Hemnet (Number)
- Number of days the listing has been active
- Use for: Time-on-market analysis, seller motivation assessment, price reduction prediction
Published At (DateTime/String)
- Original publication timestamp
- Use for: Chronological sorting, time-series analysis, seasonality studies
Times Viewed (Number)
- View count for the listing
- Use for: Interest level measurement, demand indicator, comparative popularity analysis
Location Features
Water Distance (meters) (Number)
- Distance to nearest body of water
- Use for: Premium pricing factors, lifestyle preference matching, environmental features
Coastline Distance (meters) (Number)
- Distance to coastline
- Use for: Waterfront property identification, location premium calculation
Professional Information
Broker (Object/String)
- Real estate agent details (name, contact, photo)
- Use for: Agent performance tracking, contact information, professional network analysis
Agency (Object/String)
- Real estate agency information (name, logo, contact)
- Use for: Market share analysis, agency comparison, lead generation
Housing Cooperative (Object/String)
- Cooperative association details (for Bostadsrätt properties)
- Use for: Association reputation research, governance analysis, fee comparison
Viewing Information
Open Houses (Array of Objects)
- Scheduled viewing times and dates
- Use for: Event planning, buyer interest coordination, timeline tracking
Visual Assets
Images (Array of URLs)
- Property interior/exterior photo URLs
- Use for: Visual analysis, marketing materials, virtual tours, AI-based feature detection
Floor Plan Images (Array of URLs)
- Architectural floor plan images
- Use for: Layout analysis, space planning, conversion potential assessment
Total Images (Number)
- Total count of all images
- Use for: Listing quality assessment, presentation completeness indicator
Sample Output
How to Use: Step-by-Step Guide
Step 1: Collect Property URLs
- Browse Hemnet.se to find properties matching your criteria
- Copy complete URLs from individual property listings
- Organize URLs in a list or spreadsheet for batch processing
Step 2: Configure Your Input
- Set
max_retries_per_urlto 2 or 3 for reliability - Enable proxy with
"useApifyProxy": true - Use
"RESIDENTIAL"proxy group to avoid detection - Set proxy country to
"SE"for Sweden-based scraping - Enable
ignore_url_failuresfor batch jobs
Step 3: Run the Scraper
- Submit your configuration with target URLs
- Monitor progress as the scraper processes each listing
- Review any failed URLs if
ignore_url_failuresis set to true
Step 4: Process the Output
- Export data to CSV, JSON, or database format
- Clean and validate extracted information
- Apply data analysis or integrate with your systems
Best Practices
URL Management
- Verify URLs are active before batch processing
- Group similar properties for efficient analysis
- Keep a record of when URLs were scraped for time-series data
Proxy Configuration
- Always use residential proxies for reliable access
- Match proxy country (SE) to target website location
- Rotate proxies for large-scale scraping operations
Error Handling
- Review failed URLs and retry with adjusted settings
- Check for pattern in failures (specific property types, regions)
- Consider rate limiting for very large batches
Data Quality
- Validate extracted data against sample manual checks
- Handle missing fields appropriately in your analysis
- Update your dataset regularly as listings change
Common Issues and Solutions
Issue: High failure rate
- Solution: Increase
max_retries_per_url, verify URLs are accessible, check proxy settings
Issue: Missing data fields
- Solution: Some listings may not include all fields; implement null-value handling in your analysis
Issue: Slow processing
- Solution: Reduce batch size, optimize proxy configuration, consider parallel processing
Issue: Outdated information
- Solution: Re-scrape URLs periodically to capture price changes, new images, or updated descriptions
Benefits and Applications: Real-World Use Cases
Time Efficiency
Manual data collection from hundreds of property listings would require dozens of hours. The Hemnet.se Property Scraper completes the same task in minutes, freeing professionals to focus on analysis and decision-making rather than data entry.
Market Intelligence
- Price Trend Analysis: Track asking prices and price-per-square-meter across regions and property types to identify market movements
- Inventory Monitoring: Monitor days-on-market and view counts to gauge demand levels in different neighborhoods
- Competitive Analysis: Compare your listings against similar properties to optimize pricing strategies
Investment Research
- Opportunity Identification: Filter properties by price, location, and features to find undervalued opportunities
- Portfolio Diversification: Analyze property types, locations, and price ranges to build balanced portfolios
- Risk Assessment: Evaluate construction years, energy classes, and monthly fees to estimate ongoing costs
Professional Applications
- Real Estate Agencies: Benchmark your listings, track competitor activity, and identify market gaps
- Property Developers: Research target areas, analyze housing stock characteristics, and identify development opportunities
- Financial Institutions: Assess collateral values, monitor market conditions, and support lending decisions
- Academic Research: Study housing patterns, price dynamics, and urban development trends with comprehensive datasets
Business Value
By automating data collection, organizations can:
- Respond faster to market changes with up-to-date information
- Make evidence-based decisions using comprehensive datasets
- Scale research operations without proportional staff increases
- Improve accuracy by eliminating manual data entry errors
- Generate regular reports and dashboards with fresh data
Legal and Ethical Considerations
Hemnet is a publicly accessible platform where property sellers pay to list their homes, and the information is intended for public viewing. However, users should:
- Respect robots.txt directives and website terms of service
- Use scraped data responsibly and ethically
- Avoid excessive request rates that could burden Hemnet's servers
- Not republish scraped data in ways that compete directly with Hemnet
- Comply with GDPR and Swedish data protection laws when handling personal information (broker contacts, etc.)
- Attribute data sources appropriately in published research or reports
This scraper is designed for legitimate research, analysis, and business intelligence purposes. Users are responsible for ensuring their use complies with applicable laws and regulations.
Conclusion: Transform Your Real Estate Data Strategy
The Hemnet.se Property Scraper provides professional-grade access to Sweden's most comprehensive real estate data source. By automating the extraction of detailed property information, this tool enables data-driven decision-making in the Swedish housing market.
Whether you're tracking market trends, researching investment opportunities, or conducting comprehensive property analysis, this scraper delivers the reliable, structured data you need to succeed. With its comprehensive field coverage, robust error handling, and flexible configuration options, you can focus on insights rather than data collection.
Start extracting valuable property intelligence from Hemnet.se today and gain the competitive advantage that comes from better data.
Related Actors
- hemnet.it Property Search Scraper: A specialized data extraction tool engineered to harvest detailed property information from hemnet's property marketplace.
Your feedback
We are always working to improve Actors' performance. So, if you have any technical feedback about hemnet.it Property Details Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.
