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Subito.it Automotive Scraper: Extract Italian Car Listings Efficiently

Why Scrape Automotive Data from Subito.it?

Subito.it is Italy's #1 online marketplace and the second-largest e-commerce platform in the country, with over 16 million buyers and sellers visiting monthly and 149,000 new ads approved every day. Operating across four main vertical markets including Automotive, Real Estate, Market/Classifieds, and Jobs, Subito has established itself as a dominant force in the Italian automotive sector.

The Italian used car market is experiencing significant growth, expected to reach USD 84.55 billion in 2025, making it a lucrative space for automotive professionals, dealers, and market analysts. Whether you're tracking pricing trends, monitoring competitor inventory, conducting market research, or identifying sourcing opportunities, having access to structured, up-to-date data from Subito.it is invaluable.

The challenge? Manually collecting this data is time-consuming and impractical when dealing with thousands of listings across multiple cities and regions. This is where automated scraping becomes essential.

Overview of the Subito.it Automotive Scraper

The Subito.it Automotive Search Scraper is a specialized data extraction tool designed to automatically collect comprehensive car listing information from Subito's automotive section. Built for efficiency and reliability, this scraper enables users to gather large volumes of structured data without the manual effort of browsing and copying information from individual listings.

Key Advantages

Time Efficiency: What would take hours or days of manual work is completed in minutes. The scraper can process multiple search result pages simultaneously, extracting data from up to 20 listings per URL (configurable).

Data Consistency: All extracted information follows a standardized format, making it immediately usable for analysis, database integration, or reporting purposes.

Geographic Flexibility: Target specific Italian regions, cities, or neighborhoods – from Naples (Napoli) to smaller towns like Mariglianella – ensuring your data collection aligns with your business focus.

Reliable Extraction: With built-in retry mechanisms and proxy support, the scraper handles network issues and avoids detection, ensuring consistent data collection even during extended scraping sessions.

Who Should Use This Tool?

• Automotive Dealers: Monitor competitor pricing, identify acquisition opportunities, and track inventory trends
• Market Researchers: Analyze pricing patterns, regional demand variations, and market dynamics
• Data Analysts: Build datasets for predictive modeling, price forecasting, and market segmentation
• Business Intelligence Professionals: Support strategic decision-making with comprehensive market intelligence
• Independent Sellers: Research optimal pricing strategies based on comparable listings

Input Configuration Explained

Example url 1: https://www.subito.it/annunci-campania/vendita/auto/napoli/

Example url 2: https://www.subito.it/annunci-campania/vendita/auto/napoli/mariglianella/

Example url 3: https://www.subito.it/annunci-campania/vendita/auto/napoli/?o=2

Example Screenshot of automotive list by query page:

Input Format Specification

The scraper accepts JSON configuration with precise parameters to customize data extraction according to specific requirements. The input structure includes essential settings for proxy configuration, retry mechanisms, and URL specifications.

Example Input Configuration:

{
  "max_retries_per_url": 2, // Maximum waiting time when accessing the links you provided.
  "proxy": { // Add a proxy to ensure that during the data collection process, you are not detected as a bot.
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL" 
    ],
    "apifyProxyCountry": "SG" // You should choose an Country that coincides with the Country you want to collect data from
  },
  "ignore_url_failures": true,
  "max_items_per_url": 20,
  "urls": [ // Links to automotive list by query pages.
    "https://www.subito.it/annunci-campania/vendita/auto/napoli/",
    "https://www.subito.it/annunci-campania/vendita/auto/napoli/mariglianella/",
    "https://www.subito.it/annunci-campania/vendita/auto/napoli/?o=2"
  ]
}

Parameter Explanations

max_retries_per_url: Sets the maximum number of retry attempts when accessing URLs. A value of 2 means if a request fails initially, the scraper will attempt to retrieve the page two additional times before moving on. This helps handle temporary network issues or server timeouts.

proxy: Configuration for routing requests through proxy servers to avoid IP-based blocking and simulate genuine user behavior.

• useApifyProxy: Enables the proxy service
• apifyProxyGroups: Specifies the proxy type – "RESIDENTIAL" proxies appear as regular home internet connections, making detection more difficult
• apifyProxyCountry: Sets the geographic location of the proxy. Using "IT" (Italy) is recommended for scraping Italian websites as it mimics local traffic patterns

max_items_per_url: Limits how many car listings to extract from each provided URL. Setting this to 20 means the scraper will collect data from up to 20 listings per search results page.

urls: An array of target URLs pointing to Subito.it automotive search results.

ignore_url_failures allows continuing to the next url even if the previous page has an error.

Comprehensive Output Data Structure

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

[ // List of automotive information
  {
  "kind": "AdItem",
  "urn": "id:ad:d5b92c9c-f906-418b-b41f-5c2fe6f999fb:list:620662460",
  "type": {
    "key": "s",
    "value": "In vendita",
    "weight": 0
  },
  "category": {
    "id": "2",
    "label": "Auto",
    "parent_id": "1",
    "friendly_name": "auto",
    "weight": 1
  },
  "subject": "LAND ROVER EVOQUE 2.2 SD 190CV DYNAMIC",
  "body": "L AUTO È IN OTTIME CONDIZIONI SIA ESTERNE CHE DI MECCANICA\nANNO 2012\nKM  210000\nGOMME AL 90%\nCERCHI IN LEGA NERI\nSENSORI PARCHEGGIO ANT E POST\nTELECAMERA POSTERIORE\nBAGAGLIAIO AUTOMATICO\nFARI BI-XENO\nVOLANTE MULTIFUNZIONE \nCARPLAY\nCAMBIO AUTOMATICO\nDOPPIE CHIAVI\nSEDILI IN PELLE AUTOMATICI\nCHIAVE INTELLIGENTE\nFULL FULL \n\nINFO 3395033985",
  "date": "2025-10-17 05:36:10",
  "images": [
    {
      "cdn_base_url": "https://images.sbito.it/api/v1/sbt-ads-images-pro/images/5f/5f370ee8-7f00-47f4-ba25-b1e54662dded"
    },
    {
      "cdn_base_url": "https://images.sbito.it/api/v1/sbt-ads-images-pro/images/05/054ed307-5d2d-4f90-871c-dea261d647b3"
    },
    {
      "cdn_base_url": "https://images.sbito.it/api/v1/sbt-ads-images-pro/images/60/60ba12a0-edb0-41e3-835a-9720906cda10"
    },
    {
      "cdn_base_url": "https://images.sbito.it/api/v1/sbt-ads-images-pro/images/cb/cbe4068d-5fe9-49ca-89cd-9ac80a212f75"
    },
    {
      "cdn_base_url": "https://images.sbito.it/api/v1/sbt-ads-images-pro/images/14/1445c191-3b27-485d-b969-730e886af60a"
    },
    {
      "cdn_base_url": "https://images.sbito.it/api/v1/sbt-ads-images-pro/images/fc/fc8576ba-c8bb-41ae-98ce-bb1edd2d539a"
    }
  ],
  "features": {
    "/vehicle_status": {
      "type": "list",
      "uri": "/vehicle_status",
      "label": "Tipo di veicolo",
      "values": [
        {
          "key": "1",
          "value": "Usato",
          "weight": 0
        }
      ]
    },
    "/doors": {
      "type": "list",
      "uri": "/doors",
      "label": "Numero di porte",
      "values": [
        {
          "key": "2",
          "value": "4/5",
          "weight": 2
        }
      ]
    },
    "/seats": {
      "type": "list",
      "uri": "/seats",
      "label": "Posti",
      "values": [
        {
          "key": "4",
          "value": "5",
          "weight": 4
        }
      ]
    },
    "/car_type": {
      "type": "list",
      "uri": "/car_type",
      "label": "Carrozzeria",
      "values": [
        {
          "key": "5",
          "value": "SUV/Fuoristrada",
          "weight": 4
        }
      ]
    },
    "/color": {
      "type": "list",
      "uri": "/color",
      "label": "Colore",
      "values": [
        {
          "key": "1",
          "value": "Bianco",
          "weight": 1
        }
      ]
    },
    "/car": {
      "type": "pack",
      "uri": "/car",
      "label": "Auto",
      "values": [
        {
          "key": "000140",
          "value": "LAND ROVER",
          "weight": 125,
          "level": 0,
          "label": "Marca"
        },
        {
          "key": "004042",
          "value": "RR Evoque 1ª serie",
          "weight": 10,
          "level": 1,
          "label": "Modello"
        },
        {
          "key": "100066",
          "value": "Range Rover Evoque 2.2 Sd4 5p. Dynamic Limited Edition",
          "weight": 88,
          "level": 2,
          "label": "Versione"
        }
      ]
    },
    "/fuel": {
      "type": "list",
      "uri": "/fuel",
      "label": "Carburante",
      "values": [
        {
          "key": "2",
          "value": "Diesel",
          "weight": 1
        }
      ]
    },
    "/gearbox": {
      "type": "list",
      "uri": "/gearbox",
      "label": "Cambio",
      "values": [
        {
          "key": "2",
          "value": "Automatico",
          "weight": 2
        }
      ]
    },
    "/price": {
      "type": "number",
      "uri": "/price",
      "label": "Prezzo",
      "values": [
        {
          "key": "10400",
          "value": "10400 €"
        }
      ]
    },
    "/mileage": {
      "type": "list",
      "uri": "/mileage",
      "label": "Km",
      "values": [
        {
          "key": "31",
          "value": "200.000 - 249.999",
          "weight": 31
        }
      ]
    },
    "/mileage_scalar": {
      "type": "number",
      "uri": "/mileage_scalar",
      "label": "Km",
      "values": [
        {
          "key": "210000",
          "value": "210000 Km"
        }
      ]
    },
    "/year": {
      "type": "list",
      "uri": "/year",
      "label": "Anno di immatricolazione",
      "values": [
        {
          "key": "2012",
          "value": "2012",
          "weight": 38
        }
      ]
    },
    "/register_date": {
      "type": "string",
      "uri": "/register_date",
      "label": "Immatricolazione",
      "values": [
        {
          "key": "06/2012",
          "value": "06/2012",
          "label": "Immatricolazione"
        }
      ]
    },
    "/month": {
      "type": "list",
      "uri": "/month",
      "label": "Mese di immatricolazione",
      "values": [
        {
          "key": "6",
          "value": "Giugno",
          "weight": 5
        }
      ]
    }
  },
  "advertiser": {
    "name": "",
    "type": 0,
    "user_id": "22834664",
    "company": false
  },
  "geo": {
    "uri": "/geo",
    "type": "geo",
    "label": "Comune",
    "region": {
      "uri": "/geo/region",
      "id": "15",
      "value": "Campania",
      "friendly_name": "campania",
      "label": "Regione",
      "level": 0,
      "neighbors": "15,11,14,16,17"
    },
    "city": {
      "uri": "/geo/city",
      "id": "4",
      "value": "Napoli",
      "label": "Provincia",
      "level": 1,
      "friendly_name": "napoli",
      "istat": "063",
      "region_id": "15",
      "short_name": "NA"
    },
    "town": {
      "uri": "/geo/town",
      "id": "063067",
      "value": "San Giorgio a Cremano",
      "label": "Comune",
      "level": 2,
      "friendly_name": "san-giorgio-a-cremano",
      "istat": "063067",
      "city_id": "4",
      "has_zone": false,
      "region_id": "15"
    }
  },
  "urls": {
    "default": "https://www.subito.it/auto/land-rover-evoque-2-2-sd-190cv-dynamic-napoli-620662460.htm",
    "mobile": "https://www.subito.it/auto/land-rover-evoque-2-2-sd-190cv-dynamic-napoli-620662460.htm"
  },
  "from_url": "https://www.subito.it/annunci-campania/vendita/auto/napoli/"
}, // ... Many other automotive details
]

Output Fields Explained

Kind: Categorizes the type of listing or advertisement. This helps distinguish between different listing formats or promotional types on the platform.

URN: A unique identifier (Uniform Resource Name) for each listing. This serves as a permanent reference that can be used to track specific vehicles across different scraping sessions or to prevent duplicate entries in your database.

Type: Specifies the broader category classification – in this case, always "auto" (automobile/car) for automotive listings.

Category: Provides more granular classification within the automotive vertical, potentially distinguishing between passenger cars, commercial vehicles, or other vehicle subcategories.

Subject: The listing title or headline as written by the seller. This typically includes key information like make, model, year, and sometimes standout features (e.g., "Fiat 500 del 2018, Full Optional").

Body: The complete description text provided by the seller. This field contains detailed information about the vehicle's condition, service history, features, reasons for selling, and any other relevant details the seller wants to communicate.

Date: The publication date or last update timestamp of the listing. This is crucial for understanding how recent the listing is and for time-series analysis of market trends.

Images: An array of image URLs associated with the listing. These URLs point to all photos uploaded by the seller, allowing you to download and store visual documentation of each vehicle.

Features: Structured information about vehicle specifications and characteristics, typically including:

• Make and model
• Year of manufacture
• Mileage (kilometers driven)
• Fuel type (gasoline, diesel, hybrid, electric)
• Transmission type (manual, automatic)
• Body style (sedan, SUV, hatchback)
• Engine displacement
• Emissions standard (Euro 5, Euro 6, etc.)
• Color

Advertiser: Information about the seller, which may include:

• Seller type (private individual vs. professional dealer)
• Username or business name
• Seller rating or reputation metrics (if available)
• Contact information visibility status

Geo: Geographic location data indicating where the vehicle is located, including:

• Region (e.g., Campania)
• Province (e.g., Napoli)
• City or town (e.g., Mariglianella)
• Sometimes specific neighborhood or district information

URLs: Collection of relevant links associated with the listing:

• Direct link to the full listing page
• Alternative access URLs
• Related or similar listing links

Data Applications

The structured output enables multiple use cases:

• Price Analysis: Compare prices across regions, models, and seller types to identify pricing patterns
• Inventory Tracking: Monitor which vehicles are listed, how long they remain available, and what sells quickly
• Competitive Intelligence: Track what competitors are pricing and how they position their inventory
• Market Segmentation: Analyze differences between professional dealers and private sellers
• Trend Identification: Spot emerging preferences in fuel types, transmission styles, or vehicle ages
• Lead Generation: Identify potential acquisition targets that meet specific criteria

Step-by-Step Usage Guide

1. Identify Target URLs

Navigate to Subito.it's automotive section and perform searches that match your requirements. Copy the URLs of relevant search result pages. Consider:

• Geographic targeting (specific cities or regions)
• Filters (price range, make/model, year)
• Pagination for comprehensive coverage

2. Configure Input Parameters

Create your JSON input file with appropriate settings:

• Set retry count to 2-3 for reliability
• Enable residential proxies with Italian geolocation
• List all target URLs
• Adjust max_items_per_url based on your needs

3. Execute the Scraper

Run the scraper with your configuration. The tool will:

• Sequentially process each URL
• Extract data from listings on each page
• Handle retries automatically if pages fail to load
• Aggregate all results into a structured dataset

4. Process and Analyze Results

Export the collected data in your preferred format (JSON, CSV, Excel). You can now:

• Import into databases or analytics platforms
• Create visualizations and dashboards
• Perform statistical analysis
• Feed into machine learning models

Tips for Optimal Results

Respect Rate Limits: Don't scrape aggressively. Space out your requests to avoid overloading the target server and minimize detection risk.

Use Geographic Filtering: Target specific areas rather than scraping the entire country unless absolutely necessary. This reduces execution time and focuses on relevant data.

Validate Data Quality: After scraping, review a sample of results to ensure all fields are populating correctly and the data meets your quality standards.

Schedule Regular Scraping: Automotive listings change frequently. Schedule periodic scraping sessions (daily or weekly) to maintain up-to-date intelligence.

Handle Duplicates: Use the URN field to identify and remove duplicate listings that may appear across multiple scraping sessions.

Common Issues and Solutions

Issue: Scraper returns empty results

• Solution: Verify URLs are correct and accessible. Check that proxy settings are configured properly.

Issue: Some fields are consistently empty

• Solution: Listing formats may vary. Not all sellers provide complete information. This is expected; focus on listings with complete data.

Issue: Scraper gets blocked or rate-limited

• Solution: Ensure proxies are enabled and set to Italy. Reduce max_items_per_url and add delays between requests.

Issue: Images fail to download

• Solution: Image URLs may have expiration times. Download and store images immediately after scraping, or store URLs for later batch processing.

Business Benefits and Applications

Time Savings

Automated data collection eliminates manual work. What previously required a full-time employee browsing listings for hours now happens automatically in minutes, freeing up human resources for higher-value analytical work.

Competitive Advantage

Access to comprehensive, structured market data provides insights your competitors may lack. Understanding pricing trends, inventory turnover, and regional variations enables smarter business decisions.

Real-World Applications

Dealership Inventory Management: Identify undervalued vehicles listed by private sellers as acquisition opportunities. Monitor competitor pricing to adjust your own listings competitively.

Market Research Firms: Build comprehensive datasets tracking the Italian automotive market's evolution. Analyze seasonal trends, regional preferences, and the impact of economic factors on vehicle sales.

Price Optimization: Use historical data to develop dynamic pricing models that maximize profit while maintaining competitiveness.

Supply Chain Intelligence: Track which vehicle types are most abundant or scarce in specific regions, informing sourcing strategies.

Financial Services: Lenders and insurance companies can use market data to better assess vehicle values and risk profiles.

Conclusion

The Subito.it Automotive Search Scraper transforms how automotive professionals access and utilize market data from Italy's leading online marketplace. By automating the extraction of comprehensive listing information – from pricing and specifications to seller details and geographic data – this tool empowers data-driven decision-making in the dynamic Italian automotive market.

Whether you're optimizing inventory, conducting research, or seeking competitive intelligence, this scraper provides the foundation for actionable insights. The combination of flexible configuration options, reliable data extraction, and structured output makes it an essential tool for anyone serious about understanding and succeeding in the Italian automotive space.

Ready to unlock the power of automated automotive data collection? Start leveraging structured market intelligence today and gain the competitive edge your business needs.

Related Actors

• Subito.it Automotive Details Scraper: A specialized data extraction tool engineered to harvest detailed automotive information from Subito's automotive marketplace.

Your feedback

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