Booli Property Search Scraper: Extract Swedish Real Estate Data at Scale

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What Is Booli.se?

Booli.se is Sweden's leading property search platform, hosting thousands of residential listings across apartments, villas, and new construction projects. It serves real estate professionals, investors, and homebuyers seeking market transparency. Booli consolidates listings from multiple agencies and developers, making it a rich source for property market intelligence — but manually collecting and structuring this data is laborious and error-prone.

The Booli Property Search Scraper automates data extraction, transforming unstructured listings into clean, actionable datasets in minutes.

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Overview

The Booli Property Search Scraper extracts comprehensive property records from Booli.se search results pages, capturing 30+ data points per listing. It is built for:

• Real estate investors analyzing market trends and pricing patterns
• Market researchers studying Swedish housing supply and demand
• Property developers monitoring competitor projects and launches
• Data analysts building real estate intelligence platforms
• Agencies aggregating market data for client reports

The scraper handles search result pagination, manages proxy rotation to prevent blocking, and gracefully continues on failed URLs — ideal for large-scale collection campaigns.

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Input Format

The scraper accepts a JSON configuration object defining which property listings to extract and how to handle the scraping process:

{
  "urls": [
    "https://www.booli.se/sok/till-salu/?page=2"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Input Parameters Explained

Parameter	Type	Description	Example
urls	Array	Booli search result page URLs to scrape. Each URL can return up to max_items_per_url listings.	["https://www.booli.se/sok/till-salu/?page=2"]
ignore_url_failures	Boolean	If true, the scraper continues running even if a URL fails. If false, the entire run stops on first error.	true
max_items_per_url	Integer	Maximum number of property listings to extract per URL. Set based on your data needs and rate-limiting concerns.	200

Input Tips

• Search pages: Use filtered Booli search URLs (e.g., by region, price range, property type) to target specific subsets of the market.
• Pagination: Include multiple page URLs to collect larger datasets. For example:
  • https://www.booli.se/sok/till-salu/?page=1
  • https://www.booli.se/sok/till-salu/?page=2
  • https://www.booli.se/sok/till-salu/?page=3
• Limits: Set max_items_per_url conservatively (50–200) to avoid timeout or server load issues on large result sets.

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Output Format

Example Output Record

{
  "id": "6120847",
  "booli_id": "6120847",
  "amenities": [
    {
      "__typename": "Amenity",
      "key": "balcony",
      "label": "Balkong"
    },
    {
      "__typename": "Amenity",
      "key": "fireplace",
      "label": "Eldstad"
    }
  ],
  "blocked_images": false,
  "descriptive_area_name": "Motala",
  "display_attributes": {
    "__typename": "DisplayAttributes",
    "screen_reader_label": "4 rum radhus på Akasialiden 20G Motala, Motala kommun",
    "data_points": [
      {
        "__typename": "DataPoint",
        "value": {
          "__typename": "DisplayText",
          "plain_text": "133 + 35 m²"
        },
        "screen_reader_label": "133 + 35 kvadratmeter"
      },
      {
        "__typename": "DataPoint",
        "value": {
          "__typename": "DisplayText",
          "plain_text": "4 rum"
        },
        "screen_reader_label": "4 rum"
      },
      {
        "__typename": "DataPoint",
        "value": {
          "__typename": "DisplayText",
          "plain_text": "205 m² tomt"
        },
        "screen_reader_label": "205 kvadratmeter tomt"
      }
    ]
  },
  "location": {
    "__typename": "Location",
    "region": {
      "__typename": "Region",
      "municipality_name": "Motala"
    }
  },
  "published": "2026-06-08 16:50:07",
  "list_price": null,
  "list_price_percentage_diff": null,
  "list_sqm_price": null,
  "latitude": 58.53867997,
  "longitude": 15.04479569,
  "days_active": 0,
  "primary_image": null,
  "object_type": "Radhus",
  "estimate": {
    "__typename": "Estimate",
    "price": {
      "__typename": "FormattedValue",
      "value": "2 650 000",
      "unit": "kr",
      "raw": 2650000,
      "formatted": "2 650 000 kr"
    }
  },
  "street_address": "Akasialiden 20G",
  "url": "/bostad/2506673",
  "is_new_construction": false,
  "bidding_open": 1,
  "upcoming_sale": false,
  "tenure_form": "Äganderätt",
  "agency": null,
  "next_showing": null,
  "images": [
    {
      "__typename": "Image",
      "id": "53363041",
      "alt": "Exteriörbild",
      "width": 1920,
      "height": 1280,
      "primary_label": "exterior"
    },
    {
      "__typename": "Image",
      "id": "53363043",
      "width": 1920,
      "height": 1280,
      "primary_label": "fireplace",
      "alt": "Eldstad"
    },
    {
      "__typename": "Image",
      "id": "53363045",
      "width": 1920,
      "height": 1280,
      "primary_label": "kitchen/dining_room",
      "alt": "Kök eller matrum"
    },
    {
      "__typename": "Image",
      "id": "53363046",
      "width": 1920,
      "height": 1280,
      "primary_label": "kitchen/dining_room",
      "alt": "Kök eller matrum"
    },
    {
      "__typename": "Image",
      "id": "53363049",
      "width": 1920,
      "height": 1280,
      "primary_label": "kitchen/dining_room",
      "alt": "Kök eller matrum"
    }
  ],
  "booli_url": null,
  "phase": null,
  "subtitle": null,
  "name": null,
  "list_price_range": null,
  "occupancy": null,
  "project_images": null,
  "developer": null,
  "created": null,
  "rooms_list": null,
  "featured": null,
  "sold_price": null,
  "sold_price_absolute_diff": null,
  "sold_price_percentage_diff": null,
  "sold_price_type": null,
  "from_url": "https://www.booli.se/sok/till-salu"
}

Each scraped property returns a rich dataset with 30+ fields covering identification, pricing, location, imagery, tenure, and market activity:

Core Property Information

Field	Meaning
ID	Internal Booli unique identifier for the property listing
Booli ID	Alternative Booli system ID (may differ from ID field)
Name	Official property name or project title
Subtitle	Secondary descriptive text (e.g., "Renovated 1970s villa")
Street Address	Full street address of the property
Descriptive Area Name	Neighborhood or district name (e.g., "Södermalm, Stockholm")
Location	Geographic location metadata (coordinates, region codes)
URL	Direct link to the property listing on Booli.se
Booli URL	Alternative canonical URL for the property

Pricing & Valuation

Field	Meaning
List Price	Current asking price in SEK (Swedish Kronor)
List Price Range	Price range if exact figure not set (e.g., "5,000,000–6,000,000 SEK")
List Price Percentage Diff	Percentage difference between asking price and Booli estimate
List SQM Price	Price per square meter (SEK/m²) — useful for market comparisons
Estimate	Booli's internal valuation estimate based on comparable sales
Sold Price	Final sale price (once property is sold)
Sold Price Type	Type of sale (e.g., private, auction, estate)
Sold Price Absolute Diff	Absolute difference between list price and sold price (SEK)
Sold Price Percentage Diff	Percentage difference between list price and sold price

Property Characteristics

Field	Meaning
Object Type	Property category (e.g., "Apartment", "Villa", "Townhouse")
Rooms List	Array or count of rooms (bedrooms, bathrooms)
Occupancy	Living space, size, or occupancy type
Is New Construction	Boolean flag: true if the property is a new build
Tenure Form	Type of ownership (e.g., "Bostadsrätt" [cooperative], "Äganderätt" [freehold])
Phase	Development phase if part of a new construction project
Developer	Name of the developer or builder (for new construction)

Market Activity & Exposure

Field	Meaning
Published	Date the listing was published on Booli
Created	Date the property record was created in the system
Days Active	Number of days the listing has been active
Bidding Open	Boolean: whether active bidding/offers are being accepted
Upcoming Sale	Boolean: indicates a scheduled or upcoming auction/sale
Next Showing	Scheduled viewing date/time (if available)
Featured	Boolean: whether the listing is promoted/featured on Booli

Imagery & Media

Field	Meaning
Primary Image	URL of the main listing photo
Images	Array of all property images (exterior, interior, landscaping)
Blocked Images	Count or list of images that failed to load or were removed
Project Images	Images specific to new construction projects

Amenities & Features

Field	Meaning
Amenities	List of key features (e.g., "Balcony", "Garden", "Parking", "Energy-efficient")
Display Attributes	Structured attributes shown in search results and detail views

Sales & Agency Information

Field	Meaning
Agency	Real estate agency managing the sale (name, contact info)
Latitude	Geographic latitude coordinate (decimal degrees)
Longitude	Geographic longitude coordinate (decimal degrees)

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How to Use

Step 1: Identify Search URLs

Visit Booli.se and create search filters matching your needs (region, price range, property type). Copy the resulting page URLs.

Examples:

• https://www.booli.se/sok/till-salu/?page=1 — All properties for sale
• https://www.booli.se/sok/stockholm/till-salu/?page=1 — Stockholm only
• https://www.booli.se/sok/stockholm/till-salu/?min=4000000&max=6000000&page=1 — Stockholm, 4–6M SEK

Step 2: Configure Input

Paste your URLs into the urls array. Set max_items_per_url (e.g., 100–200 for balanced coverage and speed).

Step 3: Run the Scraper

Initiate the actor. The scraper will:

• Navigate to each URL
• Extract property records from search results
• Collect all 30+ fields per listing
• Skip failed URLs if ignore_url_failures: true
• Return structured JSON data

Step 4: Export & Analyze

Download results as JSON, CSV, or Excel. Load into your analysis tool (spreadsheet, database, BI platform).

Best Practices:

• Test with a single page first to verify output format
• Use ignore_url_failures: true for production runs
• Space out large scraping jobs to avoid rate limiting
• Cross-reference with Booli's Estimate field to identify underpriced listings

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Use Cases & Business Value

• Investment analysis: Identify market gaps, underpriced properties, and emerging neighborhoods
• Market intelligence: Track price trends, days-on-market, and supply dynamics by region
• Competitive monitoring: Monitor competitor listings, pricing strategies, and market share
• Data enrichment: Append property data to your CRM, database, or investment platform
• Academic research: Analyze Swedish housing affordability, market efficiency, and regional variation

Real estate professionals using the Booli Property Search Scraper gain competitive advantage through data-driven decision-making, reducing manual research time from hours to minutes.

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Conclusion

The Booli Property Search Scraper delivers Swedish property market data in structured, actionable format. With 30+ fields per listing and flexible filtering, it empowers investors, analysts, and developers to unlock insights from Booli's comprehensive marketplace. Start scraping today and transform raw listings into strategic advantage.