CarDekho.com Used Cars Search Scraper: Extract India's Largest Used Car Marketplace Data ## Why CarDekho.com Data Matters for the Indian Automotive Market CarDekho.com dominates India's online used car marketplace, connecting millions of buyers with dealers and individual sellers across the country. The platform aggregates inventory from authorized dealers, certified sellers, and private owners, making it the most comprehensive source for understanding pricing trends, vehicle availability, and consumer preferences in India's rapidly growing used car sector. For automotive dealers, this data reveals competitive pricing strategies and inventory distribution. Market researchers gain insights into popular models, price segments, and geographic demand patterns. Financial institutions can assess vehicle valuations for lending decisions, while consumers benefit from transparent market pricing analysis. Manual data collection across thousands of listings would be impractical. This scraper automates the extraction process, delivering structured data ready for analysis, price comparison tools, or inventory management systems. ## Scraper Capabilities and Target Users The CarDekho Used Cars Search Scraper extracts comprehensive information from search result pages, capturing all visible listings with their detailed attributes. It handles various search configurations including price ranges, locations, and specific models. The tool efficiently processes multiple search URLs simultaneously, respecting the platform's structure while extracting dealer information, vehicle specifications, pricing details, and inventory status. It captures CarDekho-specific features like certification badges, EMI calculators, and premium seller indicators. Automotive dealers use this for competitive intelligence and market positioning. Pricing analysts track valuation trends across segments and regions. Financial institutions assess market values for loan underwriting. Aggregator platforms build comprehensive vehicle databases. Market researchers analyze consumer demand patterns and inventory dynamics. ## Input Configuration Explained The scraper accepts CarDekho used car search page URLs. These are filtered search results showing vehicles matching specific criteria like location, price range, or model. Input Structure: json { "proxy": { "useApifyProxy": false }, "max_items_per_url": 20, "ignore_url_failures": true, "urls": [ "https://www.cardekho.com/used-cars+2-lakh-to-3-lakh+in+new-delhi" ] } ### Example Screenshot: proxy: Controls proxy usage. Set useApifyProxy: true with residential proxies for large-scale scraping to avoid detection. max_items_per_url: Limits results per search page (default 20). Increase for comprehensive data collection, decrease for quick sampling. ignore_url_failures: When true, continues processing even if some URLs fail, useful for batch operations. urls: Array of search page URLs. Examples: - Price-based: https://www.cardekho.com/used-cars+5-lakh-to-7-lakh+in+mumbai - Model-specific: https://www.cardekho.com/used-Maruti-Suzuki-Swift+in+bangalore - General city search: https://www.cardekho.com/used-cars+in+pune ## Output Data Structure and Field Definitions The scraper returns JSON objects for each vehicle listing with extensive metadata: Core Identifiers: - UCID: Unique used car identifier for tracking across the platform - Used Car ID: Alternative identifier for database management - Used Car SKU ID: Inventory SKU reference Pricing Information: - Price: Numerical price value in INR - Formatted Price: Display-ready price string (e.g., "₹ 2.45 Lakh") - MSP: Maximum selling price or listing price - Price Saving: Discount amount from original price - EMI Widget: Monthly payment calculation data Vehicle Details: - Model: Car manufacturer and model name - Model Year: Manufacturing year - Variant Name: Specific trim/variant designation - Kilometers: Odometer reading - Owner: Ownership history (1st owner, 2nd owner, etc.) - Owner Slug: URL-friendly owner designation Dealer/Seller Information: - Dealer ID: Unique dealer identifier - Company ID: Parent company reference - Store ID: Physical dealership location ID - Premium Seller Icons: Badges indicating verified/premium dealers - Gaadi Store: Indicates CarDekho's own retail stores Location Data: - City: Vehicle location city - City ID: Numerical city identifier - Locality: Specific neighborhood/area - Loc: Location coordinates or code - City Mismatch: Flags vehicles outside search city - Nearby City Inventory: Indicates if from adjacent cities Status Indicators: - Active: Current listing availability (true/false) - Inventory Status: Stock availability code - Active Text: Human-readable status message - Booking Allowed: Whether advance booking is enabled - CD Certified: CarDekho certification badge Visual Content: - 360°: 360-degree view availability - Gallery DTO: Image gallery data structure - Branding Icon: Dealer branding assets - Similar Cars Branding Icon: Related listing branding Technical References: - Central Variant ID: Master variant database reference - VID: Vehicle identification code - OEM: Original equipment manufacturer code - PI/FT/TT/BT: Internal platform tracking codes User Interaction: - Is Heart: Saved/favorited by users - WhatsApp Enabled: Direct WhatsApp contact available - Lead Form: Lead capture form configuration - Lead Form CTA: Call-to-action button data - VLink: Vehicle detail page URL - Position: Listing position in search results Classification: - Page Type: Search context (price range, model, etc.) - Car Type: Category (hatchback, sedan, SUV) - Utype: User type or listing type - Inventory Type Label: Stock classification - Sort: Sorting parameter applied Sample Output: json [ { "ucid": 0, "used_car_id": 4861260, "price": 840000, "formatted_price": "₹8.40 Lakh", "pi": "https://images10.gaadi.com/usedcar_image/4861260/original/processed_9bdb414f-71c0-47ce-b77a-b942b3871e4b.jpg?imwidth=420", "myear": 2024, "model": "Kia Sonet", "variant_name": "HTK Plus", "threesixty": false, "km": "10,000", "ft": "Petrol", "tt": "Manual", "msp": 900000, "price_saving": "", "is_heart": false, "ip": 1, "used_car_sku_id": "f4b72bfa-3f77-41e6-a4d5-09b33dec4353", "lead_form": 1, "lead_form_cta": "View Seller Details", "vlink": "/used-car-details/used-Kia-sonet-htk-plus-cars-Rajkot_f4b72bfa-3f77-41e6-a4d5-09b33dec4353.htm?adId=13761&adType=41", "position": 1, "button_dto": {}, "central_variant_id": 11397, "active": true, "inventory_status": 1, "active_text": "Active", "is_booking_allowed": false, "sid": "", "oem": "Kia", "vid": "Kia Sonet HTK Plus", "city": "Rajkot", "city_id": 64, "bt": "SUV", "loc": "Raiya", "utype": "Individual", "tm_gaadi_store": false, "compare": true, "branding_icon": "", "page_type": "cls", "car_type": "partner", "corporate_id": 7, "store_id": "", "inventory_type_label": "direct-owner", "locality": "Raiya", "premium_seller_icons": { "icon": "", "full_icon": "" }, "emiwidget": {}, "similar_cars_branding_icon": "", "owner": 1, "owner_slug": "first-owner", "inv_and_user_city_mismatch": false, "dealer_id": 0, "whatsapp_enabled": null, "cd_certified": false, "sort": [ 0, 401.2258053779602 ], "near_by_city_inventory": true, "gallery_dto": { "source": "NORMAL", "tabs": [ { "tab_title": "Images", "type": "all_image", "list_type": "image", "list": [ "https://images10.gaadi.com/usedcar_image/4861260/original/processed_9bdb414f-71c0-47ce-b77a-b942b3871e4b.jpg?imwidth=640", "https://images10.gaadi.com/usedcar_image/4861260/original/processed_f00be29e-a2c7-4817-a773-7598eec1b93f.jpg?imwidth=640", "https://images10.gaadi.com/usedcar_image/4861260/original/f5bd840a-bc55-4a51-9d4c-abf65532bede.jpg?imwidth=640" ] } ], "multiple": true }, "from_url": "https://www.cardekho.com/used-cars+in+new-delhi" } ] ## Usage Guide 1. Setup: Create an Apify account and access the scraper 2. Identify Target Searches: Browse CarDekho to find relevant search URLs matching your criteria 3. Configure Input: Add URLs to the input array, set max_items_per_url based on needs (20-100 typical) 4. Proxy Settings: Enable Apify proxy for large batches (500+ listings) 5. Start Extraction: Launch scraper and monitor progress 6. Download Data: Export as JSON for databases or CSV for spreadsheet analysis 7. Schedule Runs: Set daily/weekly automation for price monitoring Tips: - Batch similar searches together (same city or price range) - Use ignore_url_failures: true for stability in batch operations - Start with small max_items_per_url values to test, then scale up - Check "Active" field to filter current listings only ## Business Applications and Value Automotive Dealers: Monitor competitor pricing in real-time, identify underpriced inventory opportunities, adjust pricing strategies dynamically based on market supply. Market Research: Analyze depreciation rates by model and year, identify trending models and variants, understand geographic price variations, track inventory velocity. Financial Services: Validate vehicle valuations for loan applications, assess collateral values, identify market rate for refinancing decisions. Price Comparison Platforms: Build comprehensive vehicle databases, offer real-time market price insights, enable accurate vehicle-to-vehicle comparisons. Inventory Management: Track stock levels across regions, identify slow-moving inventory patterns, optimize procurement based on demand signals. Consumer Tools: Create price alert systems, provide transparent market analysis, enable informed purchase decisions. ## Best Practices Run scheduled scrapes (daily for fast-moving segments, weekly for comprehensive analysis) to maintain current data. Cross-reference with other automotive platforms for validation. Filter by Active: true and recent Model Year for relevant inventory. Store historical data to track price trends and depreciation curves. Use City ID for geographic segmentation. Analyze Premium Seller Icons and CD Certified for dealer quality indicators. Monitor Kilometers ranges to understand market standards by price segment. Implement alerts for price drops or new inventory matching specific criteria. Segment analysis by Owner status to understand pricing differences between first and subsequent owners.