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Lento Product Details Scraper: Extract Product Data & Pricing Intelligence

Introduction

Lento.pl stands as one of Poland's most prominent classified advertisements platforms, attracting an impressive 5.93 million visits a month since its establishment in 2005. This comprehensive marketplace hosts diverse categories including automotive, real estate, services, job listings, and storage solutions, making it a goldmine of valuable market data. The platform is ranked #369 in Poland with categories spanning Online Services, Real Estate, and Automotive, representing a significant portion of Poland's digital commerce landscape.

For businesses, researchers, and data analysts seeking to understand market trends, competitor pricing, or consumer behavior in Poland, manually collecting data from Lento.pl would be an overwhelming task. The Lento.pl Product Details Scraper addresses this challenge by automating the extraction of comprehensive product information, transforming hours of manual work into minutes of automated data collection.

Comprehensive Data Extraction Solution

The Lento.pl scraper is a sophisticated tool designed to extract detailed product information from any listing on the platform. Whether you're analyzing automotive market trends, monitoring real estate prices, or researching service offerings, this scraper provides structured, reliable data extraction capabilities.

The tool excels in handling Lento.pl's dynamic content structure, ensuring consistent data retrieval across different product categories. Its robust architecture can process multiple URLs simultaneously while maintaining data integrity and handling various product page layouts. The scraper is particularly valuable for market researchers, e-commerce businesses, pricing analysts, and competitive intelligence professionals who need regular access to Polish marketplace data.

Target users include digital marketing agencies tracking competitor activities, automotive dealerships monitoring market prices, real estate professionals analyzing property trends, and academic researchers studying consumer behavior patterns in classified advertisements.

Input and Output Format Details

Example url 1: https://krakow.lento.pl/self-storage-magazyn-15-m2-monitor-teren-ul,15100107.html

Example url 2: https://jedlinsk.lento.pl/toyota-rav4-comfort-toyota-rav4-2-0-d-4d,15065218.html

Example url 3: https://roznowice.lento.pl/renault-master-doka-brygadowka-2013-r,15082813.html

Example Screenshot of product information page:

Input Format

The scraper accepts a JSON configuration specifying the product URLs to extract data from, along with proxy settings and retry parameters:

{
  "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
  },
  "urls": [ // Links to product information pages.
    "https://krakow.lento.pl/self-storage-magazyn-15-m2-monitor-teren-ul,15100107.html",
    "https://jedlinsk.lento.pl/toyota-rav4-comfort-toyota-rav4-2-0-d-4d,15065218.html",
    "https://roznowice.lento.pl/renault-master-doka-brygadowka-2013-r,15082813.html"
  ]
}

Input Requirements:

• URLs: Direct links to specific Lento.pl product pages (required)
• Max Retries: Integer value (1-5 recommended) for handling temporary access issues
• Proxy Configuration: Essential for avoiding bot detection and maintaining consistent access
• Country Selection: Should match target market (Poland recommended for accurate pricing)

Output Format

You get the output from the Stockx.com Product Details Page Scraper stored in a tab. The following is an example of the Information Fields collected after running the Actor.

[ // List of product information
  {
  "id": "15100107",
  "url": "https://krakow.lento.pl/self-storage-magazyn-15-m2-monitor-teren-ul,15100107.html",
  "name": "Dodaj do ulubionych",
  "description": "<div class=\"desc text-15\"><h3 class=\"text-18 margin-bottom-15\">Opis oferty</h3>Do wynajęcia magazyny 15m2. <br>\nTeren monitorowany.<br>\nTeren oświetlony.<br>\nOtwieranie bramy automatyczne.<br>\nDostęp 24 h<br>\nPosiadamy też 30m2</div>",
  "price": "500 zł",
  "location": {
    "lat": "50.0955696",
    "lng": "19.9133339",
    "address": "Kraków"
  },
  "date": "Dodane: Piątek, 22 Sierpień, 2025  14:17",
  "details": [
    {
      "label": "Kategoria:",
      "value": "Garaże i parkingi / Do wynajęcia"
    },
    {
      "label": "Powierzchnia:",
      "value": "15 m2"
    },
    {
      "label": "Typ garażu:",
      "value": "Blaszany"
    },
    {
      "label": "Cena:",
      "value": "500 zł"
    }
  ],
  "images": [
    "https://st-lento.pl/adpics/large/08_2025/22/1f3053_self-storage-magazyn-15-m2-monitor-teren-ul-lokietka-krakow-zdjecia.jpg",
    "https://st-lento.pl/adpics/large/08_2025/22/df1105_self-storage-magazyn-15-m2-monitor-teren-ul-lokietka-krakow-zdjecia.jpg"
  ],
  "seller": {
    "id": "EWjjw_5I05mR3_5py3kAw1hzTvwiTE1W6u15FiCgmsY=",
    "name": "Michał",
    "join_date": "Na Lento.pl od 21 cze 2021",
    "phone": "501 010 463"
  }
}, // ... Many other product details
]

The scraper returns structured data with ten comprehensive fields for each processed URL:

ID: A unique identifier extracted from the URL or page content, typically the listing number that appears in Lento.pl's internal system. This field is essential for tracking and referencing specific listings across different data collection sessions.

URL: The complete web address of the scraped product page, enabling easy verification and follow-up visits to the original listing.

Name: The product title as displayed on the listing page, capturing the seller's description of the item. This field often contains key descriptive terms and brand information.

Description: The detailed product description provided by the seller, including specifications, condition details, usage history, and other relevant information that potential buyers need to know.

Price: The listed price in Polish Złoty (PLN), formatted as it appears on the page. This may include additional pricing information like "negotiable" or payment terms.

Location: Geographic information indicating where the product is located or where the transaction should take place. This typically includes city names and sometimes more specific address details.

Date: The publication or last update date of the listing, crucial for understanding data freshness and market timing.

Details: Structured information about product specifications, features, technical details, and other categorical data specific to the product type (e.g., mileage for cars, square footage for real estate).

Images: URLs or references to product photos uploaded by the seller, enabling visual analysis and verification of product condition.

Seller: Information about the person or business posting the listing, which may include seller ratings, contact preferences, and verification status.

Step-by-Step Usage Guide

To effectively use the Lento.pl scraper, begin by identifying the specific product pages you want to analyze. Navigate to Lento.pl and collect the full URLs of interesting listings, ensuring they follow the platform's standard URL structure.

Configure your input JSON with appropriate retry settings and proxy configuration. For optimal results when scraping Polish content, consider using Polish or European proxy servers to minimize detection risk and improve access speed.

Execute the scraper and monitor the extraction process. The tool will process each URL sequentially, applying the specified retry logic for any failed attempts. Depending on the number of URLs and server response times, processing typically takes 1-3 seconds per URL.

Best practices include limiting concurrent requests to avoid overwhelming the server, regularly updating your proxy configuration, and maintaining a reasonable delay between large batching operations. When encountering errors, verify that your target URLs are still active and accessible.

For handling large datasets, consider batch processing in groups of 50-100 URLs to maintain manageable file sizes and processing times.

Business Applications and Benefits

The Lento.pl scraper delivers significant time savings by automating what would otherwise require hours of manual data collection. A typical manual process of gathering information from 100 product listings could take 8-10 hours, while the scraper completes the same task in minutes.

Practical applications include competitive price monitoring for retailers, market trend analysis for automotive dealerships, real estate market research, and consumer behavior studies. E-commerce businesses can track competitor pricing strategies, while researchers can analyze seasonal patterns in classified advertisements.

The structured data output enables immediate integration with business intelligence tools, spreadsheet applications, and database systems, facilitating deeper analysis and reporting capabilities. This automation supports data-driven decision making in pricing strategies, inventory management, and market positioning.

Conclusion

The Lento.pl Product Details Scraper represents a powerful solution for accessing Poland's extensive classified advertisements data efficiently and reliably. With its comprehensive output format and robust handling of various product categories, it serves as an essential tool for anyone needing systematic access to Polish marketplace information.

Ready to unlock valuable market insights from Poland's leading classified platform? Start extracting comprehensive product data today and transform your market research capabilities.

Related Actors

• Lento Product Search Scraper: A specialized data extraction solution engineered to harvest comprehensive product information from Lento's marketplace.

Your feedback

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