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Kolesa.kz Cars Details Scraper: Extract Kazakhstan Automotive Listings for Market Analysis & Inventory Research

Introduction

Kolesa.kz stands as Kazakhstan's premier online automotive marketplace, serving as the primary platform for buying and selling vehicles throughout the country. With hundreds of thousands of active listings, Kolesa.kz provides detailed information about new and used vehicles including specifications, pricing, seller details, financing options, and comprehensive photo galleries.

For automotive dealers, market researchers, price comparison platforms, and businesses analyzing the Kazakhstan automotive market, accessing this structured vehicle data is invaluable. However, manually collecting detailed information from individual car listings is extremely time-consuming, especially when analyzing market trends, comparing inventory, or building comprehensive automotive databases.

The Kolesa.kz Cars Details Scraper solves this challenge by automating the extraction of detailed vehicle information from individual car listing pages. Whether you're tracking competitor pricing, analyzing market availability, building a price comparison database, or conducting automotive market research in Kazakhstan, this scraper enables systematic data collection that would otherwise require extensive manual effort.

Scraper Overview

The Kolesa.kz Cars Details Scraper is a specialized data extraction tool designed to collect comprehensive information from individual vehicle listing pages on Kazakhstan's largest automotive marketplace. This scraper leverages advanced web automation to navigate through car detail pages and extract complete vehicle profiles including specifications, pricing, seller information, and media content.

The tool is particularly valuable for automotive dealers monitoring competitor inventory, market researchers analyzing Kazakhstan's automotive landscape, price aggregation platforms building comparison databases, and automotive industry analysts tracking market trends and availability patterns. It handles various listing types including new cars, used vehicles, credit-eligible listings, and trade-in opportunities.

The scraper maintains high accuracy while implementing best practices for ethical data collection, with configurable retry mechanisms for reliable extraction and residential proxy support for avoiding detection during large-scale operations.

Input and Output Details

Example url 1: https://kolesa.kz/kz/a/show/208963075?search_id=5266361b44cd0a520a50814dc9339f9c5bb751ce&search_type=filter&advert_position=21

Example url 2: https://kolesa.kz/kz/a/show/208533568

Example url 3: https://kolesa.kz/kz/a/show/208707798

Example Screenshot of cars information page:

Input Format

The scraper accepts a JSON configuration focused on extracting detailed information from specific car listing URLs.

{
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "KZ"
  },
  "urls": [
    "https://kolesa.kz/kz/a/show/208963075?search_id=5266361b44cd0a520a50814dc9339f9c5bb751ce&search_type=filter&advert_position=21",
    "https://kolesa.kz/kz/a/show/208707798",
    "https://kolesa.kz/kz/a/show/208533568"
  ],
  "max_retries_per_url": 2
}

The urls parameter: Add the URLs of specific car detail pages you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. Each URL should point to an individual vehicle listing page on Kolesa.kz.

The max_retries_per_url parameter: Limit the number of retries for each URL if the scrape is detected as a bot or the page fails to load. Default value is 2, balancing thoroughness with efficiency.

The proxy parameter: Essential for maintaining access when scraping multiple listings. Use Kazakhstan proxies (apifyProxyCountry: "KZ") for optimal performance and reduced detection risk.

Output Format

Example output

[
  {
  "name": "Toyota Avensis 2004 ж.",
  "id": 208963075,
  "publication_date": "2026-01-13T23:59:59+05:00",
  "is_credit_available": true,
  "is_new_auto": false,
  "is_trade_in_auto": false,
  "seller": {
    "user_id": 33858264,
    "user_type_id": 0
  },
  "photo_count": 4,
  "section": "auto",
  "category_string": "auto.car",
  "category": [
    "auto",
    "auto.car"
  ],
  "category_id": "2",
  "availability": "Бар",
  "region": "KZ-YUZ",
  "city": "shymkent",
  "attributes": {
    "model": "Avensis",
    "brand": "Toyota",
    "avg_price": 4066000
  },
  "last_update": "2026-01-13T15:35:28+05:00",
  "status": "live",
  "unit_price": 4200000,
  "url": "https://kolesa.kz/kz/a/show/208963075",
  "applied_paid_services": [
    "Поднято наверх"
  ],
  "video": false
}
]

The scraper returns comprehensive vehicle listing data:

• Name: Vehicle make, model, and variant. Essential for inventory categorization, search functionality, and vehicle identification.

• ID: Unique listing identifier on Kolesa.kz. Critical for tracking listings over time, detecting price changes, and avoiding duplicates in databases.

• Publication Date: When the listing was first published. Useful for analyzing listing age, market dynamics, and inventory turnover rates.

• Is Credit Available: Boolean indicating financing availability. Important for buyers seeking financed purchases and analyzing market financing penetration.

• Is New Auto: Boolean showing if vehicle is new or used. Critical for market segmentation and analyzing new vs. used vehicle availability.

• Is Trade In Auto: Boolean indicating trade-in acceptance. Valuable for understanding seller flexibility and trade-in market dynamics.

• Seller: Seller information (individual or dealer). Essential for contact, dealer identification, and analyzing seller types in the market.

• Photo Count: Number of images in the listing. Indicator of listing quality and completeness, useful for prioritizing detailed listings.

• Section: Marketplace section (cars, commercial vehicles, etc.). Enables categorical filtering and market segment analysis.

• Category String: Human-readable vehicle category. Useful for user-facing displays and intuitive categorization.

• Category: Standardized category classification. Essential for systematic market analysis and database organization.

• Category ID: Numeric category identifier. Used for technical integrations and cross-referencing with Kolesa.kz taxonomy.

• Availability: Current listing status (available, sold, etc.). Critical for real-time inventory tracking and market availability analysis.

• Region: Geographic region in Kazakhstan. Enables regional market analysis and location-based filtering.

• City: Specific city location. Important for local market analysis, logistics planning, and geographic price comparisons.

• Attributes: Detailed vehicle specifications (year, mileage, engine, transmission, color, etc.). Comprehensive data for vehicle comparison, specification-based filtering, and detailed market analysis.

• Last Update: When listing was last modified. Useful for tracking price changes, identifying stale listings, and monitoring market activity.

• Status: Current listing status. Essential for filtering active listings and tracking market dynamics.

• Unit Price: Vehicle price in local currency. Primary data point for price analysis, market trends, and competitive pricing strategies.

• URL: Direct link to the listing. Reference for verification, additional details, and connecting to original source.

• Applied Paid Services: Premium listing features used. Indicates seller investment in visibility, suggesting motivated sellers or professional dealers.

• Video: Video content availability. Signals comprehensive listings and higher-quality presentations.

Each field supports automotive market intelligence, competitive pricing analysis, inventory management, and Kazakhstan automotive market research.

Usage Guide

Collecting Vehicle Detail URLs

Step 1: Identify Target Listings

Navigate to Kolesa.kz and locate the specific vehicle listings you want to analyze. URLs can be obtained from:

• Search results pages for specific makes/models
• Category browsing (new cars, used cars, specific segments)
• Saved searches or watchlists
• Competitor dealer inventory pages
• Price comparison queries

Step 2: Extract Detail Page URLs

Copy the complete URL of each vehicle listing page you want to scrape. Ensure URLs include all parameters as they appear in the browser.

Step 3: Configure Input

Add URLs to the urls array in your JSON configuration. For bulk operations, use the Bulk edit section to paste multiple URLs efficiently.

Step 4: Set Retry Parameters

Configure max_retries_per_url based on network conditions and listing accessibility. Keep at 2 for standard operations.

Step 5: Configure Proxies

Use Kazakhstan residential proxies for best results when scraping multiple listings. This reduces detection risk and improves access reliability.

Best Practices

URL Management:

• Verify all URLs are accessible before batch processing
• Remove duplicate URLs to avoid redundant extractions
• Keep organized lists of URLs by category or research purpose
• Test sample URLs individually before large-scale scraping

Proxy Configuration:

• Always use residential proxies for multi-listing extraction
• Use Kazakhstan proxies (apifyProxyCountry: "KZ") for optimal access
• Monitor for blocked requests and adjust proxy settings accordingly

Data Collection Strategy:

• Extract listings in batches to manage system resources
• Implement appropriate delays between large extraction runs
• Schedule regular re-scraping to track price changes and availability
• Maintain historical data to analyze market trends over time

Quality Control:

• Verify extracted data matches source listings
• Check for complete attribute extraction
• Validate price and specification accuracy
• Cross-reference with original URLs when discrepancies appear

Common Troubleshooting

Access Issues:

• Switch to Kazakhstan proxies if encountering blocks
• Verify URLs are correctly formatted and accessible
• Check if listings have been removed or expired
• Adjust retry settings for unstable connections

Incomplete Data:

• Verify listing pages fully loaded before extraction
• Check if certain attributes are missing from source listings
• Review output for consistent field population
• Re-scrape problematic URLs with increased retry counts

Performance Optimization:

• Process URLs in manageable batches (50-100 at a time)
• Use appropriate proxy configurations for your scale
• Monitor extraction speed and adjust batch sizes
• Consider parallel processing for very large URL lists

Benefits and Applications

The Kolesa.kz Cars Details Scraper delivers significant efficiency gains for automotive market analysis and inventory research in Kazakhstan.

Primary Applications:

Competitive Price Analysis: Automotive dealers can monitor competitor pricing across similar vehicles, identify pricing opportunities, track market price trends, and optimize their own pricing strategies based on real-time market data.

Market Research: Analyze Kazakhstan's automotive market by segment, region, and vehicle type. Track availability patterns, identify popular models, understand financing penetration, and monitor new vs. used vehicle dynamics.

Inventory Management: Dealers can track competitor inventory levels, identify high-demand vehicles, monitor listing turnover rates, and optimize their own inventory mix based on market availability.

Price Aggregation Platforms: Build comprehensive price comparison databases, provide users with detailed vehicle specifications, track price changes over time, and offer market insights based on aggregated data.

Automotive Industry Analysis: Research Kazakhstan's automotive landscape, analyze regional market differences, track dealer vs. individual seller patterns, identify market trends and shifts in consumer preferences.

The scraper provides advantages through:

• Detailed vehicle specifications for comprehensive analysis
• Availability tracking for real-time market monitoring
• Seller information for competitive intelligence
• Pricing data for market trend analysis
• Financing and trade-in indicators for understanding market dynamics
• Photo and video counts indicating listing quality

The structured output integrates with automotive CRM systems, price comparison platforms, market analysis tools, and inventory management systems for immediate activation in automotive business operations.

Conclusion

The Kolesa.kz Cars Details Scraper transforms manual vehicle listing research into efficient automated data collection. By providing detailed access to Kazakhstan's leading automotive marketplace, it enables data-driven decisions for pricing, inventory management, and market analysis.

Whether you're monitoring competitor pricing, analyzing market trends, building price comparison databases, or conducting automotive market research in Kazakhstan, this scraper provides the detailed extraction capabilities needed to accelerate your business intelligence gathering.

Ready to streamline your Kazakhstan automotive market analysis? Start extracting detailed vehicle insights from Kolesa.kz today.

Related Actors

• kolesa.kz Cars Search Scraper: A specialized data extraction tool engineered to harvest detailed cars information from kolesa's cars marketplace.

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