Nieruchomosci-Online.pl Property Search Scraper: Extract Polish Real Estate Listings Data

Understanding Nieruchomosci-Online.pl and Its Value

Nieruchomosci-Online.pl serves as a prominent Polish real estate platform connecting property buyers, sellers, and renters across Poland. The platform aggregates listings from agencies and individual sellers, covering residential, commercial, and land properties throughout Polish cities and regions.

For investors analyzing Polish property markets, agencies monitoring competition, or researchers studying housing trends, this platform provides valuable market intelligence. Manual data collection across multiple searches and pages is time-consuming. This scraper automates extraction, transforming search results into structured datasets for analysis.

What This Scraper Extracts

The scraper processes search result pages from Nieruchomosci-Online.pl, capturing multiple property listings efficiently. It's designed for building comprehensive datasets across different locations, price ranges, and property types.

Key Data Extracted:

Property Identification: ID Account Type, ID AA (unique identifiers), and Share URL for tracking and reference.

Pricing & Economics: Primary Price, Market indicators, and Is No Provision flag for commission information.

Property Attributes: Comprehensive attributes array containing specifications like area, rooms, floor, construction year, and property features.

Location & Mapping: Map coordinates and location data for geographic analysis and visualization.

Visual & Marketing: Video content, Virtual Tour (with type, show type, and gallery integration), H1/H2 headings, and Meta Title for SEO analysis.

Contact & Agency: Contact Box information, ID Account, Is Account Active status, and Is IBO (agency) flag.

Listing Status: Is Archive, As Archive, Mod Date, Change Date for tracking listing lifecycle and freshness.

Special Features: Is Hot (featured), Is One Agency Only (exclusivity), Is Supplement Ad, Open Day information, Thermometer (interest metrics), and Is Fav (favorites tracking).

Engagement Data: Events tracking, Notes, Ad Contact Default Message, and DL Data (download/interaction data).

Compliance: Rodo Terms Paragraph for GDPR compliance information and Virtual Tour Info Cookies.

Input Configuration

The scraper processes Nieruchomosci-Online.pl search result URLs with specific parameters for targeting property data.

Example Configuration:

{
  "proxy": {
    "useApifyProxy": false
  },
  "max_items_per_url": 20,
  "ignore_url_failures": true,
  "urls": [
    "https://amalka.nieruchomosci-online.pl/szukaj.html?3,mieszkanie,sprzedaz,,Amalka:54713,,,50&p=3"
  ]
}

Example Screenshot:

Parameter Breakdown:

proxy: Set useApifyProxy: false by default. Enable for large-scale scraping to avoid detection. Residential proxies recommended for frequent extraction.

max_items_per_url: Controls extraction limit per URL. Set to 20 for standard pages matching typical page sizes on Nieruchomosci-Online.pl.

ignore_url_failures: When true, continues processing if some URLs fail. Essential for batch operations with multiple search URLs.

urls: Search result page URLs. The example URL breaks down as:

• 3,mieszkanie,sprzedaz = apartment for sale
• Amalka:54713 = location identifier
• &p=3 = page 3 of results

URL Strategy: Perform manual searches first with desired filters (location, price, property type), then copy URLs. For comprehensive data, include multiple page numbers: &p=1, &p=2, etc.

Output Structure and Field Meanings

The scraper returns JSON with detailed property objects. Understanding each field enables effective analysis.

Core Identification Fields:

• ID Account Type/ID Account: Account classification and unique identifier for listing owner
• ID AA: Primary property identifier for tracking and deduplication
• ID Ad Type: Advertisement classification
• ID Category: Property category code

Pricing & Transaction Fields:

• Primary Price: Listed property price
• Market: Market type indicator (primary/secondary market)
• Is No Provision: Boolean indicating commission-free listings
• PT: Price type or period indicator

Property Details:

• Attributes: Array containing all property specifications (area, rooms, floor, year built, features, amenities)
• Box Text: Main property description text
• H1/H2: Heading text for property title and subtitles
• Meta Title: SEO title for search optimization analysis

Location & Visualization:

• Map: Coordinate data for geographic plotting and proximity analysis
• Share URL: Direct link to property listing page

Visual Assets:

• Video: Video tour URLs if available
• Virtual Tour: 360-degree tour link
• Virtual Tour Type/Show Type: Virtual tour technology and display method
• Is Gallery Virtual Tour: Indicates if virtual tour integrated in gallery
• Virtual Tour Info Cookies: Cookie requirements for virtual tours

Listing Status & Tracking:

• Mod Date: Last modification timestamp
• Change Date: Last change date for tracking updates
• Is Archive/As Archive: Archive status indicating inactive listings
• Is Hot: Featured or promoted listing indicator
• Thermometer/Thermometer Dictionary: Interest level metrics

Contact & Agency Information:

• Contact Box: Contact details and forms data
• Is Account Active: Active status of listing account
• Is IBO: Real estate agency indicator
• Ad Contact Default Message: Pre-filled contact message template

Special Indicators:

• Is Supplement Ad: Supplementary advertisement flag
• Is One Agency Only: Exclusive agency listing
• Is Open Day: Open house event indicator
• Open Day Date/Open Day Date Full: Scheduled viewing event times

Engagement & Analytics:

• Is Fav: User favorites tracking
• Notes: User or system notes
• Events: Interaction events tracking
• DL Data: Download and engagement data

Compliance:

• Rodo Terms Paragraph: GDPR/RODO compliance information for Polish data protection regulations

Sample Output:

[
  {
  "is_supplement_ad": false,
  "map": {
    "latitude": "54.3655335",
    "longitude": "18.4013946",
    "accuracy": "10",
    "inaccurate_location": 0,
    "is_inaccurate_location": 1,
    "mrk": "https://s.st-nieruchomosci-online.pl/no/gfx/mrk_circle.svg",
    "pois": []
  },
  "attributes": [
    {
      "label": "Piętro",
      "alias": "floor",
      "values": [
        {
          "value": "1",
          "type": "big-number"
        },
        {
          "value": "/",
          "type": "number"
        },
        {
          "value": "1",
          "type": "number"
        }
      ]
    },
    {
      "label": "Liczba pokoi",
      "alias": "rooms",
      "values": [
        {
          "value": "5",
          "type": "big-number"
        }
      ]
    },
    {
      "label": "Rok budowy",
      "alias": "year-built",
      "values": [
        {
          "value": "2025",
          "type": "big-number"
        }
      ]
    },
    {
      "label": "Miejsce parkingowe",
      "alias": "parking-type-0",
      "values": [
        {
          "value": "parking publiczny / na ulicy",
          "type": "small-text"
        }
      ]
    },
    {
      "label": "Stan mieszkania",
      "alias": "condition-type",
      "values": [
        {
          "value": "deweloperski",
          "type": "small-text"
        }
      ]
    }
  ],
  "contact_box": {
    "dl": {
      "category": "Mieszkania",
      "type": "sprzedaż",
      "population_group": "4",
      "is_archive": "0"
    },
    "person_name": "Jakub Firak",
    "photo": "https://i.st-nieruchomosci-online.pl/8ht6zgc/contact.jpg",
    "photo_mini": "https://i.st-nieruchomosci-online.pl/8ht6zgc/contact.jpg",
    "person_validate": "1",
    "name_show": "Jakub Firak",
    "photos_agent_for_mini": "https://i.st-nieruchomosci-online.pl/8ht6zgc/contact.jpg",
    "photo_blank": "https://s.st-nieruchomosci-online.pl/no/gfx/no-photo-male-agent-outline.svg",
    "is_professional": 0,
    "company_name": "Home Experts",
    "phone_h_dots": "571 799...",
    "phone_h": "571 799 889",
    "phone2_h": "",
    "acc_type": "agent",
    "ads_url": {
      "type": "normal",
      "url": "https://www.nieruchomosci-online.pl/agenci/jakub-firak",
      "alike": "alike l::6**.%2Bdoo%27%27%27p059,);6/1/%2B;5q/02509p.2o=790;5o4=3)%3Cq85,=3::l",
      "anchor": "Pełna oferta agenta",
      "at": "Agenta",
      "c_type": "agent"
    }
  },
  "mod_date": "31 grudnia 2025",
  "change_date": "31 grudnia 2025",
  "id_account_type": "2",
  "is_account_active": true,
  "is_ibo": 0,
  "is_no_provision": 0,
  "id_ad_type": "1",
  "primary_price": "749000",
  "id_category": "1",
  "meta_title": "Mikrokawalerka m5 z aneksem kuchennym 126,84 m² na sprzedaż Pępowo",
  "h1": "Mieszkanie, ul. Gdańska",
  "h2": "Gdańska, Pępowo, pomorskie",
  "is_archive": "0",
  "as_archive": 0,
  "box_text": "",
  "video": "",
  "is_open_day": 0,
  "open_day_date": "",
  "open_day_date_full": null,
  "share_url": "https://pepowo.nieruchomosci-online.pl/mieszkanie,m5,z-aneksem-kuchennym/26357752.html",
  "thermometer": 2,
  "thermometer_dictionary": {
    "interest_factor_thermometer_value": 2,
    "paragraph1": "Warto obserwować to ogłoszenie",
    "paragraph2": "umiarkowane zainteresowanie",
    "hover": "Zainteresowanie tą ofertą stopniowo rośnie.",
    "show": true
  },
  "is_hot": 0,
  "is_one_agency_only": 0,
  "virtual_tour": "",
  "virtual_tour_type": 0,
  "virtual_tour_show_type": 0,
  "is_gallery_virtual_tour": false,
  "virtual_tour_info_cookies": true,
  "is_fav": 0,
  "notes": null,
  "events": null,
  "ad_contact_default_message": "Dzień dobry, interesuje mnie ta nieruchomość, chętnie poznam szczegóły. Proszę o kontakt.",
  "id_account": "685179",
  "id_aa": null,
  "rodo_terms_paragraph": "<div class=\"checker-wrapper terms rodo-terms-div none \"><p class=\"rodoTermsParagraph datamin\">Administratorem danych osobowych są NNV sp. z o.o. i Ogłoszeniodawca.<input type=\"hidden\" name=\"idFormSource\" value=\"1\"/> <span class=\"alike l::6**.%2Bdoo%27%27%27p059,);6/1/%2B;5q/02509p.2o;929q.,$9*%27=,$=05=q*%27/49q.,=%27=p6*12_eENmj::l,b\">Cele&nbsp;przetwarzania i&nbsp;Twoje&nbsp;prawa.</span></p></div>",
  "dl_data": {
    "city_name": "Pępowo",
    "region_name": "pomorskie",
    "quarter_name": null,
    "id_ad_type": "1",
    "primary_price": "749000",
    "id_category": "1",
    "id_record": "9Z6TXD",
    "investment_id": "",
    "acc_lvl": "10",
    "city_alias": "pepowo",
    "publisher": "agency"
  },
  "market": "secondary",
  "pt": 4,
  "from_url": "https://amalka.nieruchomosci-online.pl/szukaj.html?3,mieszkanie,sprzedaz,,Amalka:54713,,,50&p=2"
}
]

Step-by-Step Implementation

1. Define Search Criteria: Identify target properties by location, type, and price range. Test searches on Nieruchomosci-Online.pl to verify filters.

2. Collect URLs: Copy search result URLs with applied filters. Include multiple locations, property types, or price brackets for comprehensive data.

3. Configure Input: Set up JSON with URLs. Adjust max_items_per_url (20 recommended) and enable ignore_url_failures for reliability.

4. Launch Extraction: Start via Apify console. Processing time: 3-5 pages typically complete in 2-4 minutes.

5. Validate Results: Check critical fields (prices, attributes, locations) are populated correctly.

6. Export Data: Download as JSON, CSV, or Excel. Deduplicate by ID AA and filter by criteria.

7. Handle Pagination: For large datasets, include multiple page URLs incrementing the &p= parameter.

Strategic Applications

Market Analysis: Calculate average prices per square meter across locations. Identify pricing trends and undervalued properties.

Competitive Intelligence: Monitor agency listings, pricing strategies, and exclusive properties (Is One Agency Only).

Investment Research: Filter by attributes, track hot properties (Is Hot), and analyze market types (primary vs. secondary).

Geographic Analysis: Use map coordinates to create heatmaps, analyze regional pricing, and identify emerging areas.

Engagement Tracking: Analyze thermometer metrics and events data to understand property interest levels.

Virtual Tour Analysis: Track virtual tour adoption (Virtual Tour, Is Gallery Virtual Tour) to understand modern marketing trends.

Archive Monitoring: Track Is Archive status to understand property turnover rates and market velocity.

Advanced Techniques

Time-Series Analysis: Scrape regularly, storing with timestamps. Track price changes via Mod Date and Change Date fields.

Attribute Correlation: Analyze which attributes (parking, floor, year) correlate with premium pricing.

Agency Performance: Aggregate by Contact Box agency data to analyze market share and listing quality.

Open Day Tracking: Monitor Open Day Date fields to identify active marketing periods and neighborhood interest.

Commission Analysis: Filter by Is No Provision to identify commission-free opportunities and analyze market positioning.

Best Practices

Scraping Frequency: Weekly scraping balances freshness with efficiency. Daily scraping suits fast-moving markets in major Polish cities.

Data Validation: Verify prices are positive, coordinates within Poland, and required fields populated. Flag anomalies for review.

Privacy Compliance: Handle contact data according to Polish GDPR (RODO) regulations. Note Rodo Terms Paragraph in output.

Duplicate Management: Use ID AA for deduplication across multiple scrapes.

Quality Checks: Validate Is Archive status to filter inactive listings. Check Mod Date for data freshness.

Conclusion

The Nieruchomosci-Online.pl Property Search Scraper transforms Polish real estate search results into structured intelligence. From pricing dynamics to virtual tour adoption, this tool delivers comprehensive insights into Poland's property market. Whether analyzing markets, monitoring competition, or identifying investments, structured data from Nieruchomosci-Online.pl provides the foundation for informed real estate decisions in Poland.