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Immobiliare.it Property Search Scraper - Advanced Real Estate Data Extraction Tool

Introduction

Immobiliare.it stands as Italy's leading property portal, serving as the primary destination for real estate listings with over 55 million monthly visits and more than 1.2 million active property listings. The platform connects thousands of real estate agencies and private owners, making it an invaluable resource for comprehensive Italian property market data. However, manually collecting this vast amount of data for market analysis, investment research, or competitive intelligence can be extremely time-consuming and inefficient.

The Immobiliare.it Property Search Scraper addresses this challenge by automating the data extraction process, enabling users to efficiently gather large-scale property information from Italy's most comprehensive real estate database. This tool transforms hours of manual research into minutes of automated data collection, providing structured access to critical market intelligence.

Overview of the Immobiliare.it Scraper

The Immobiliare.it scraper is a sophisticated data extraction tool designed specifically for Italy's premier property portal. This scraper enables users to track price movements and market trends in specific provinces or municipalities, monitor new listings, auctions, and rental opportunities for real-time insights, generate high-quality leads for agents, investors, and developers, and analyze comprehensive market data.

The scraper's key strengths include its ability to handle large-scale data collection while respecting website policies, support for proxy rotation to ensure reliable access, and extraction of comprehensive property details that would be impossible to gather manually at scale. The tool is particularly valuable for real estate professionals, market researchers, property investors, and data analysts who need systematic access to Italian property market information.

Target users include real estate agencies seeking competitive intelligence, property investors conducting market analysis, researchers studying Italian housing trends, and developers identifying market opportunities across different Italian regions.

Input and Output Details

Example url 1: https://www.immobiliare.it/vendita-appartamenti/roma/#120239840

Example url 2: https://www.immobiliare.it/vendita-appartamenti/roma/olgiata-giustiniana/

Example url 3: https://www.immobiliare.it/vendita-appartamenti/roma/casalotti-casal-selce/

Example Screenshot of property list by query page:

Input Format

The scraper accepts configuration through a JSON object with several key parameters:

Scrape with URLs:

{
  "max_retries_per_url": 2, // Maximum number of retry attempts for each URL if scraping fails
  "proxy": { // Proxy configuration to avoid bot detection
    "useApifyProxy": false
  },
  "max_items_per_url": 20, // Limit the number of items to scrape per URL
  "urls": [ 
    "https://www.immobiliare.it/vendita-appartamenti/roma/#120239840"
    // Add URLs of property list pages you want to scrape
  ],
  "ignore_url_failures": true // Continue scraping even if some URLs fail
}

The urls parameter: Add the URLs of the property list pages you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.

The ignore_url_failures parameter: If set to true, the scraper will continue running even if some URLs fail to be scraped after the maximum number of retries is reached. This ensures that one problematic URL doesn't stop your entire scraping job.

When you provide a list of URLs for scraping, all options in the "Scrape with search filters" section will be disabled. The system will only collect data from the URLs you specified.

Scrape with Search Filters:

{
  "max_retries_per_url": 2, // Maximum number of retry attempts for each search request
  "proxy": { // Proxy configuration to avoid bot detection
    "useApifyProxy": false
  },
  "max_items_per_url": 20, // Total number of items you want to scrape
  "location": "bocche-del-rodano-dipartimento/marsiglia/", // Location to search for properties
  "property_type": "appartamenti", // Filter by property type
  "operation_type": "affitto", // Filter by operation type
  "min_price": "500", // Filter by minimum price
  "max_price": "2000", // Filter by maximum price
  "min_area": "100", // Filter by minimum area
  "max_area": "300", // Filter by maximum area
  "min_bedrooms": "2", // Filter by minimum number of bedrooms
  "max_bedrooms": "4", // Filter by maximum number of bedrooms
  "number_of_bathrooms": "2", // Filter by number of bathrooms
  "sort_by": "prezzo-asc", // Sort properties by specific criteria
  "page": 1 // Starting page number for search results
}

The location parameter: Enter the location to search for items. Go to the website, choose a location and start search, copy the location value from URL and paste here (e.g., from https://www.immobiliare.it/affitto-villette/bocche-del-rodano-dipartimento/marsiglia/? → location = "bocche-del-rodano-dipartimento/marsiglia/"). Ensure the location is valid by checking it on the Immobiliare website first.

The property_type parameter: Filter properties by type:

• "case" - Tutte le tipologie (All types)
• "appartamenti" - Appartamento (Apartment)
• "attici" - Attico - Mansarda (Penthouse - Attic)
• "case-indipendenti" - Casa indipendente (Independent house)
• "loft" - Loft
• "rustici" - Rustico - Casale (Rustic - Farmhouse)
• "ville" - Villa
• "villette" - Villetta a schiera (Townhouse)

The operation_type parameter: Filter properties by operation type:

• "vendita" - Buy
• "affitto" - Rent

The min_price parameter: Filter properties by minimum price. Available values: "" (Indifferente), "200" (200 €), "250" (250 €), "300" (300 €), "350" (350 €), "400" (400 €), "450" (450 €), "500" (500 €), "550" (550 €), "600" (600 €), "650" (650 €), "700" (700 €), "750" (750 €), "800" (800 €), "850" (850 €), "900" (900 €), "950" (950 €), "1000" (1.000 €), "1100" (1.100 €), "1200" (1.200 €), "1300" (1.300 €), "1400" (1.400 €), "1500" (1.500 €), "1600" (1.600 €), "1700" (1.700 €), "1800" (1.800 €), "1900" (1.900 €), "2000" (2.000 €), "2500" (2.500 €), "3000" (3.000 €), "3500" (3.500 €), "4000" (4.000 €), "4500" (4.500 €), "5000" (5.000 €), "5500" (5.500 €), "6000" (6.000 €), "6500" (6.500 €), "7000" (7.000 €), "7500" (7.500 €), "8000" (8.000 €).

The max_price parameter: Filter properties by maximum price. Available values: "" (Indifferente), "200" (200 €), "250" (250 €), "300" (300 €), "350" (350 €), "400" (400 €), "450" (450 €), "500" (500 €), "550" (550 €), "600" (600 €), "650" (650 €), "700" (700 €), "750" (750 €), "800" (800 €), "850" (850 €), "900" (900 €), "950" (950 €), "1000" (1.000 €), "1100" (1.100 €), "1200" (1.200 €), "1300" (1.300 €), "1400" (1.400 €), "1500" (1.500 €), "1600" (1.600 €), "1700" (1.700 €), "1800" (1.800 €), "1900" (1.900 €), "2000" (2.000 €), "2500" (2.500 €), "3000" (3.000 €), "3500" (3.500 €), "4000" (4.000 €), "4500" (4.500 €), "5000" (5.000 €), "5500" (5.500 €), "6000" (6.000 €), "6500" (6.500 €), "7000" (7.000 €), "7500" (7.500 €), "8000" (8.000 €).

The min_area parameter: Filter properties by minimum area. Available values: "" (Indifferente), "50" (20 m²), "100" (40 m²), "150" (60 m²), "200" (80 m²), "250" (100 m²), "300" (120 m²), "350" (140 m²), "400" (160 m²), "450" (180 m²), "500" (200 m²), "550" (250 m²), "600" (300 m²), "650" (350 m²), "700" (400 m²), "750" (500 m²), "800" (600 m²), "850" (700 m²), and higher values for 800 m², 900 m², 1.000 m².

The max_area parameter: Filter properties by maximum area. Available values: "" (Indifferente), "50" (20 m²), "100" (40 m²), "150" (60 m²), "200" (80 m²), "250" (100 m²), "300" (120 m²), "350" (140 m²), "400" (160 m²), "450" (180 m²), "500" (200 m²), "550" (250 m²), "600" (300 m²), "650" (350 m²), "700" (400 m²), "750" (500 m²), "800" (600 m²), "850" (700 m²), and higher values for 800 m², 900 m², 1.000 m².

The min_bedrooms parameter: Filter properties by minimum number of bedrooms:

• "" - Indifferente (Any)
• "1" - 1
• "2" - 2
• "3" - 3
• "4" - 4
• "5" - 5

The max_bedrooms parameter: Filter properties by maximum number of bedrooms:

• "" - Indifferente (Any)
• "1" - 1
• "2" - 2
• "3" - 3
• "4" - 4
• "5" - 5

The number_of_bathrooms parameter: Filter properties by number of bathrooms:

• "1" - 1
• "2" - 2
• "3" - 3
• "4" - 3+

The sort_by parameter: Sort properties by various criteria:

• "" - Most relevant
• "prezzo-asc" - Least expensive (Price low to high)
• "prezzo-desc" - Most expensive (Price high to low)
• "superficie-desc" - Largest (Area high to low)
• "superficie-asc" - Smallest (Area low to high)
• "data-desc" - Most recent (Date newest first)
• "data-asc" - Least recent (Date oldest first)
• "locali-desc" - Most rooms
• "locali-asc" - Least rooms

The page parameter: Specify the page number to start scraping from, useful for continuing interrupted scrapes or targeting specific result ranges.

When using search filters for scraping, you need to leave the urls field empty in the "Scrape with URLs" configuration.

General Options:

The max_items_per_url parameter: Limit the number of items per URL or search filters you want to scrape. The default value is 20, providing a manageable batch size while allowing for comprehensive data collection.

The max_retries_per_url parameter: Limit the number of retries for each URL or search filters if the scrape is detected as a bot or the page fails to load. The default value is 2, providing a good balance between thoroughness and efficiency.

The proxy parameter: Proxy configuration is essential for maintaining anonymity and avoiding detection. Select proxies to be used by your scraper.

Output Format

You get the output from the Immobiliare.it Property Search Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

[ // List of property information
  {
  "visibility": "supervetrina",
  "data_type": "list-real-estate",
  "id": 121667636,
  "uuid": "63835353-353a-5cf7-b0b3-9188fd57ee40",
  "advertiser": {
    "agency": {
      "id": 248928,
      "type": "agency",
      "show_only_agent_phone": false,
      "phones": [
        {
          "type": "vTel1",
          "value": "06 9763 8582"
        }
      ],
      "bookable_visit": {
        "is_visit_bookable": true,
        "virtual_visit_enabled": true
      },
      "is_paid": true,
      "label": "agenzia",
      "display_name": "RE/MAX Gruppo Casa RE Aventino",
      "guaranteed": false,
      "show_agent_phone": false,
      "show_logo": true,
      "image_urls": {
        "small": "https://pic.im-cdn.it/imagenoresize/1471891385.jpg",
        "large": "https://pic.im-cdn.it/imagenoresize/1471891387.jpg"
      },
      "agency_url": "https://www.immobiliare.it/agenzie-immobiliari/248928/remax-iti-casa-re-roma-aventino/",
      "show_external_link": false
    },
    "supervisor": {
      "type": "agent",
      "image_gender": "male",
      "phones": [
        {
          "type": "vTel1",
          "value": "06 9763 8582"
        }
      ],
      "image_type": "agent",
      "display_name": "Gruppo Casa RE",
      "label": "agente immobiliare",
      "image_url": "https://pic.im-cdn.it/agenti/290736/1471897411/80.jpg"
    },
    "has_call_numbers": true
  },
  "contract": "sale",
  "is_new": false,
  "luxury": false,
  "price": {
    "visible": true,
    "value": 259000,
    "formatted_value": "€ 259.000",
    "price_range": "200.001 - 300.000 €"
  },
  "properties": [
    {
      "multimedia": {
        "photos": [
          {
            "id": 1741071270,
            "caption": "Studio",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071270/xxs-c.jpg"
            }
          },
          {
            "id": 1741071556,
            "caption": "Studio",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071556/xxs-c.jpg"
            }
          },
          {
            "id": 1741071582,
            "caption": "Salone",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071582/xxs-c.jpg"
            }
          },
          {
            "id": 1741071606,
            "caption": "Salone",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071606/xxs-c.jpg"
            }
          },
          {
            "id": 1741071634,
            "caption": "Salone",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071634/xxs-c.jpg"
            }
          },
          {
            "id": 1741071650,
            "caption": "Cucina",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071650/xxs-c.jpg"
            }
          },
          {
            "id": 1741071670,
            "caption": "Cucina",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071670/xxs-c.jpg"
            }
          },
          {
            "id": 1741071698,
            "caption": "Cucina",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071698/xxs-c.jpg"
            }
          },
          {
            "id": 1741071722,
            "caption": "Terrazzo",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071722/xxs-c.jpg"
            }
          },
          {
            "id": 1741071750,
            "caption": "Terrazzo",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071750/xxs-c.jpg"
            }
          },
          {
            "id": 1741071782,
            "caption": "Terrazzo",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071782/xxs-c.jpg"
            }
          },
          {
            "id": 1741071802,
            "caption": "Terrazzo",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071802/xxs-c.jpg"
            }
          },
          {
            "id": 1741071834,
            "caption": "Camera da letto",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071834/xxs-c.jpg"
            }
          },
          {
            "id": 1741071858,
            "caption": "Camera da letto",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071858/xxs-c.jpg"
            }
          },
          {
            "id": 1741071894,
            "caption": "Camera da letto",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071894/xxs-c.jpg"
            }
          },
          {
            "id": 1741071922,
            "caption": "Ripostiglio",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071922/xxs-c.jpg"
            }
          },
          {
            "id": 1741071936,
            "caption": "Bagno",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071936/xxs-c.jpg"
            }
          },
          {
            "id": 1741071956,
            "caption": "Camera da letto",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071956/xxs-c.jpg"
            }
          },
          {
            "id": 1741071986,
            "caption": "Camera da letto",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741071986/xxs-c.jpg"
            }
          },
          {
            "id": 1741072016,
            "caption": "Camera da letto",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741072016/xxs-c.jpg"
            }
          },
          {
            "id": 1741072040,
            "caption": "Bagno",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741072040/xxs-c.jpg"
            }
          },
          {
            "id": 1741072064,
            "caption": "Bagno",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741072064/xxs-c.jpg"
            }
          },
          {
            "id": 1741072094,
            "caption": "Bagno",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741072094/xxs-c.jpg"
            }
          },
          {
            "id": 1741072116,
            "caption": "Terrazzo",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741072116/xxs-c.jpg"
            }
          },
          {
            "id": 1741072150,
            "caption": "Terrazzo",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741072150/xxs-c.jpg"
            }
          },
          {
            "id": 1741072186,
            "caption": "Terrazzo",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741072186/xxs-c.jpg"
            }
          },
          {
            "id": 1741072212,
            "caption": "Interno palazzo",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741072212/xxs-c.jpg"
            }
          },
          {
            "id": 1741072234,
            "caption": "Box auto",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741072234/xxs-c.jpg"
            }
          },
          {
            "id": 1741072262,
            "caption": "Box auto",
            "urls": {
              "small": "https://pwm.im-cdn.it/image/1741072262/xxs-c.jpg"
            }
          }
        ],
        "virtual_tours": [
          null
        ],
        "has_multimedia": true
      },
      "bathrooms": "2",
      "floor": {
        "abbreviation": "1",
        "value": "1° piano, con ascensore",
        "floor_only_value": "1 piano",
        "ga4_floor_value": "1 piano"
      },
      "ga4_condition": "Ottimo / Ristrutturato",
      "price": {
        "visible": true,
        "value": 259000,
        "formatted_value": "€ 259.000",
        "price_range": "200.001 - 300.000 €"
      },
      "rooms": "3",
      "elevator": true,
      "surface": "85 m²",
      "typology": {
        "id": 14,
        "name": "Appartamento"
      },
      "typology_g_a4_translation": "Appartamento",
      "ga4features": [
        "cancello elettrico",
        "porta blindata",
        "terrazzo",
        "impianto tv con parabola satellitare",
        "arredato",
        "esposizione doppia"
      ],
      "ga4_heating": "Autonomo",
      "caption": "Morena Trilocale con terrazzo",
      "category": {
        "id": 1,
        "name": "Residenziale"
      },
      "description": "Proponiamo in vendita un appartamento di 85 mq, in ottime condizioni, situato all'interno di un edificio signorile con ascensore, nel cuore di Morena, uno dei quartieri residenziali più tranquilli e ben collegati di Roma.\n\nDistribuzione interna e caratteristiche principali:\n\n-Zona living luminosa e accogliente, ampio soggiorno con grandi porte/finestre che donano luce naturale e permettono l’accesso diretto al terrazzo di circa 70 mq perfetto per essere vissuto tutto l'anno. Il camino aggiunge un tocco di eleganza e calore, rendendo lo spazio ideale per momenti di relax o convivialità.\n\n-Cucin",
      "photo": {
        "id": 1741071270,
        "caption": "Studio",
        "urls": {
          "small": "https://pwm.im-cdn.it/image/1741071270/xxs-c.jpg",
          "medium": "https://pwm.im-cdn.it/image/1741071270/m-c.jpg",
          "large": "https://pwm.im-cdn.it/image/1741071270/xxl.jpg"
        }
      },
      "bed_rooms_number": "2",
      "location": {
        "address": "Via di Torre Morena",
        "latitude": 41.8153,
        "longitude": 12.6072,
        "marker": "marker",
        "region": "Lazio",
        "province": "Roma",
        "macrozone": "Anagnina, Romanina, Tor Vergata",
        "microzone": "Morena",
        "city": "Roma",
        "nation": {
          "id": "IT",
          "name": "Italia"
        }
      },
      "feature_list": [
        {
          "type": "rooms",
          "label": "3 locali",
          "compact_label": "3"
        },
        {
          "type": "surface",
          "label": "85 m²"
        },
        {
          "type": "bathrooms",
          "label": "2 bagni",
          "compact_label": "2"
        },
        {
          "type": "floor",
          "label": "Piano 1",
          "compact_label": "1"
        },
        {
          "type": "elevator",
          "label": "Ascensore",
          "compact_label": "Sì"
        },
        {
          "type": "terrace",
          "label": "Terrazzo"
        },
        {
          "type": "furniture",
          "label": "Arredato"
        }
      ]
    }
  ],
  "title": "Trilocale via di Torre Morena, Morena, Roma",
  "type": "ad",
  "typology": {
    "id": 14,
    "name": "Appartamento"
  },
  "has_main_property": false,
  "is_project_like": false,
  "is_mosaic": true,
  "from_url": "https://www.immobiliare.it/vendita-appartamenti/roma/?pag=2#120239840"
}, // ... Many other property details
]

The scraper returns structured data with the following comprehensive fields:

Core Identification Fields:

• Visibility: Indicates whether the listing is publicly visible or has restricted access
• Data Type: Categorizes the type of property data extracted (sale, rent, commercial)
• ID: Unique numerical identifier from Immobiliare.it's database system
• UUID: Universal unique identifier for cross-platform data integration

Property Classification:

• Advertiser: Information about the listing party (agency, private owner, developer)
• Contract: Contract type specification (sale, rent, lease arrangements)
• Type: Broad property category (residential, commercial, industrial)
• Typology: Specific property subtype (apartment, villa, office, warehouse)

Market Positioning:

• Is New: Boolean indicating new construction or recent development status
• Luxury: Classification for high-end properties with premium features
• Price: Current asking price in euros, critical for market analysis
• Has Main Property: Indicates primary residence classification for tax purposes

Advanced Categorization:

• Properties: Detailed property characteristics and features array
• Title: Property listing headline with key selling points
• Is Project Like: Identifies development projects or off-plan properties
• Is Mosaic: Special display format used for premium listings

Usage Guidelines

Step-by-Step Implementation

Option 1: Scraping with URLs

1. Prepare Target URLs:

   • Navigate to Immobiliare.it and perform searches matching your research criteria
   • Apply filters for location, property type, price range, and other parameters
   • Copy the resulting search result page URLs from your browser

2. Configure Parameters:

   • Add your collected URLs to the urls array in the configuration
   • Set appropriate retry limits (2-3 recommended) using max_retries_per_url
   • Enable ignore_url_failures to ensure partial success even if some URLs fail
   • Configure max_items_per_url based on your data volume needs (start with 20)

3. Set Proxy Configuration:

   • Configure proxy settings for optimal access
   • Consider using European proxies (preferably Italian) for best results

4. Execute Extraction:

   • Run the scraper with your configured parameters
   • Monitor the execution progress and check logs for any issues

5. Process Results:

   • Analyze the structured output data for your specific use case
   • Validate data quality and completeness
   • Handle any missing or incomplete fields appropriately

Option 2: Scraping with Search Filters

1. Identify Target Location:

   • Visit Immobiliare.it and search for your desired location
   • From the search result URL, copy the location value
   • Example: From https://www.immobiliare.it/affitto-villette/bocche-del-rodano-dipartimento/marsiglia/?, the location is "bocche-del-rodano-dipartimento/marsiglia/"
   • Ensure the location is valid by verifying it works on the Immobiliare website

2. Configure Search Filters:

   • Set location: Add the location parameter with the copied value
   • Define property type: Choose property_type (e.g., "appartamenti" for apartments, "ville" for villas)
   • Set operation type: Configure operation_type ("vendita" for buy, "affitto" for rent)
   • Configure price range: Set min_price and max_price in EUR to filter by budget
   • Set area specifications: Configure min_area and max_area in m² for property size
   • Specify room requirements: Set min_bedrooms, max_bedrooms, and number_of_bathrooms to filter by property features
   • Configure sorting: Use sort_by to order results (e.g., "prezzo-asc" for lowest price first, "data-desc" for newest first)
   • Set pagination: Use page parameter to start from a specific result page

3. Configure General Settings:

   • Set max_items_per_url to control the number of properties to scrape (start with 20)
   • Configure proxy settings for optimal access
   • Set max_retries_per_url (2-3 is typically sufficient)
   • Leave the urls field empty when using search filters

4. Execute and Monitor:

   • Submit your filter configuration to the scraping platform
   • The scraper will automatically construct search URLs based on your filters
   • Monitor the execution progress and review logs for any issues

5. Validate and Process Output:

   • Export the resulting data in your preferred format (JSON, CSV, Excel)
   • Validate that scraped properties match your filter criteria
   • Check for completeness in price, location, and property specification fields
   • Implement data validation checks to identify and handle missing or inconsistent field values
   • Integrate into your analysis pipeline or database

Best Practices

General Optimization:

• Proxy Configuration: Always use residential proxies with European IP addresses (preferably Italian) to ensure reliable access and avoid detection. This helps maintain consistent performance while respecting geographical restrictions.
• Start Small: Test with a few URLs or narrow filters and low max_items_per_url values (5-10) before scaling up
• Rate Limiting: Respect the max_items_per_url parameter to balance data collection needs with responsible scraping practices. This prevents overwhelming the source website while ensuring comprehensive data extraction.
• Monitor Regularly: Keep track of scraping success rates and adjust configuration as needed
• Data Quality: Some listings may have incomplete information. Implement data validation checks to identify and handle missing or inconsistent field values in your analysis workflows.

URL Strategy:

• Focus on specific areas: Use targeted search URLs for specific geographic areas or property types to maximize data relevance
• Targeted searches: Using targeted search URLs produces more actionable insights than broad, generic queries
• Verify URLs: Ensure URLs are accessible and return results before adding to configuration
• Multiple markets: Collect URLs from different Italian cities or regions for comprehensive market analysis

Filter Strategy:

• For location-specific searches: Use the location parameter with operation_type and property_type
• For budget analysis: Focus on min_price and max_price with broad location and property type filters to understand market pricing
• For specific property types: Combine property_type with area filters (min_area, max_area) and bedroom counts
• For market research: Start with broader filters (location + operation_type only), then progressively narrow down based on results
• For comparison: Use consistent filters across different locations to compare Italian property markets

Location Parameter Tips:

• Always copy the exact location value from the Immobiliare website URL
• Location format typically includes region/city hierarchy (e.g., "lazio/roma/" or "lombardia/milano/")
• Verify location values on the website first to ensure they return results
• Use specific neighborhood names for targeted searches, city names for broader coverage
• Italian locations use Italian language formatting (e.g., "roma" not "rome")

Price and Area Range Tips:

• Italian rental prices typically range from €500 to €3000 for standard properties
• Purchase prices vary widely by region: €100,000-€500,000 in smaller cities, €300,000-€1,000,000+ in major cities like Rome, Milan
• Set realistic ranges based on your target market and property type
• Living area typically ranges from 50-150 m² for apartments, 100-300 m² for villas
• Leave ranges empty ("") to get all properties without restrictions

Sorting Strategy:

• Use "prezzo-asc" to identify budget-friendly options
• Use "prezzo-desc" to find luxury properties
• Use "data-desc" to track new listings and market trends
• Use "superficie-desc" to find largest properties in your budget
• Use relevance sorting ("") initially to understand what the market emphasizes

Common Issues and Solutions

General Issues:

• Access Limitations: If encountering blocked requests, verify proxy configuration and consider reducing concurrent requests. Italian property sites may have geographic access restrictions. Use European proxies for best results.
• Data Quality: Some listings may have incomplete information. Implement data validation checks to identify and handle missing or inconsistent field values in your analysis workflows.
• Slow Performance: Reduce max_items_per_url or check proxy performance. Consider spreading requests over time.

URL-Specific Issues:

• Invalid URLs: Ensure URLs are from Immobiliare.it and properly formatted
• Outdated URLs: Immobiliare may change their URL structure; verify URLs still work on the website
• Duplicate Results: Different URLs may return overlapping properties; deduplicate using property IDs
• Empty Results: Verify the URL still contains listings and hasn't expired

Filter-Specific Issues:

• No results from filters: Verify location parameter is correctly copied from website URL. Try broadening criteria by removing restrictive filters like price range or bedroom requirements
• Location not found: Ensure the location value matches Immobiliare's exact format and includes proper Italian spelling (e.g., "roma" not "rome")
• Too restrictive filters: If getting no or very few results, try widening price ranges, removing bedroom/bathroom requirements, or increasing area ranges
• Price range issues: Ensure min_price is less than max_price. Italian rental prices are typically monthly; purchase prices vary widely by region
• Area filter confusion: Values in the configuration don't directly match the displayed m² values; refer to the enumTitles in properties for correct mappings
• Bathroom filter limitations: The number_of_bathrooms filter uses specific values (1, 2, 3, 4 for 3+), not ranges like bedrooms

Italian Market Specifics:

• Language barriers: Property descriptions are in Italian; consider translation tools for analysis
• Regional price variations: Rome and Milan properties cost significantly more than other regions
• Property type nuances: "Appartamento" (apartment) differs from "Attico" (penthouse); choose appropriate property_type
• Currency: All prices are in EUR; implement validation to ensure consistency
• Rental vs Purchase: Rental prices are monthly; purchase prices are total property value

Data Validation Tips:

• Check for missing critical fields (price, location, area)
• Validate that prices are within expected ranges for the region
• Verify bedroom/bathroom counts are realistic
• Handle properties with "Prezzo su richiesta" (price on request) appropriately
• Cross-reference property types with area ranges for consistency

Benefits and Applications

Time and Resource Efficiency

The scraper dramatically reduces manual research time from hours to minutes, enabling real-time market monitoring that would be impossible through manual collection. This efficiency allows for more frequent market analysis and faster response to emerging opportunities.

Real-World Applications

Investment Analysis: Track property prices across different Italian regions to identify emerging investment opportunities and market trends.

Market Research: Generate comprehensive reports on housing availability, pricing patterns, and property characteristics for specific metropolitan areas.

Competitive Intelligence: Monitor competitor pricing strategies and property portfolios for strategic business planning.

Lead Generation: Identify potential properties and contacts for real estate professionals targeting specific market segments.

Business Value

The comprehensive data extraction enables data-driven decision making in Italy's complex real estate market. By providing systematic access to market intelligence, the scraper supports more accurate property valuations, informed investment strategies, and effective market positioning for real estate professionals.

Conclusion

The Immobiliare.it Property Search Scraper provides essential market intelligence capabilities for anyone serious about understanding Italy's real estate landscape. With access to data from Italy's leading property portal that serves over 55 million monthly users and hosts more than 1.2 million listings, this tool transforms complex manual research into streamlined automated insights.

Whether you're conducting market research, seeking investment opportunities, or analyzing competitive landscapes, this scraper delivers the comprehensive Italian property data needed for informed decision-making. Start extracting valuable market intelligence today and gain the competitive advantage that systematic data collection provides.

Your feedback

We are always working to improve Actors' performance. So, if you have any technical feedback about Immobiliare.it Property Search Scraper or simply found a bug, please create an issue on the Actor's Issues tab in Apify Console.