Yallamotor Cars Search Scraper
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from $3.00 / 1,000 results
Yallamotor Cars Search Scraper
Scrape comprehensive used car listings from YallaMotor.com across UAE, Saudi Arabia, Egypt, and other Middle East markets. Extract vehicle specifications, pricing, seller details, and historical data in both English and Arabic. Ideal for automotive dealers, market analysts, and price comparison.
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from $3.00 / 1,000 results
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YallaMotor.com Used Cars Scraper: Extract Middle East Automotive Market Data
Excerpt: Scrape comprehensive used car listings from YallaMotor.com across UAE, Saudi Arabia, Egypt, and other Middle East markets. Extract vehicle specifications, pricing, seller details, and historical data in both English and Arabic. Ideal for automotive dealers, market analysts, and price comparison platforms.
Understanding YallaMotor.com and Its Market Significance
YallaMotor.com is the Middle East's leading automotive marketplace, connecting buyers and sellers across UAE, Saudi Arabia, Egypt, Kuwait, Bahrain, Oman, and Qatar. The platform specializes in used car listings with detailed specifications, multilingual support (English/Arabic), and region-specific pricing—making it essential for understanding automotive markets in the Gulf and North Africa.
The platform captures market dynamics unique to the Middle East: high-value luxury vehicle trade, import specifications (American, European, Gulf), right-hand vs. left-hand drive preferences, and regional pricing variations. For automotive dealers, this data reveals competitive positioning. For market analysts, it shows supply-demand patterns across vehicle types, years, and regions.
Manual data collection across multiple countries, languages, and thousands of listings is impractical. This scraper automates extraction of complete vehicle data including bilingual content, specifications, seller information, and price history—transforming scattered listings into structured datasets for analysis and business intelligence.
What This Scraper Extracts and Who Benefits
The YallaMotor.com scraper processes search result pages, extracting comprehensive vehicle listings with unique Middle East market features.
Key Data Extracted:
Bilingual Content (EN/AR): Complete vehicle information in both English and Arabic, including make/model names, location details, and user information. Essential for serving diverse Middle Eastern markets and multilingual platforms.
Vehicle Specifications: Make, model, version, year, transmission, fuel type, engine CC, cylinders, doors, seats, body style, drive type, mileage, exterior color, regional specs (American/European/Gulf/Japanese), and accident history.
Pricing & Location: Current price, currency (AED/SAR/EGP), city, area, and complete geographic hierarchy. Enables regional price comparison and market segmentation.
Seller Information: User details (name, email, phone), auto company data (dealership name, certification status, address, branch info), and seller type (individual/dealer). Critical for lead generation and competitive dealer analysis.
Media Assets: Multiple image arrays—thumbnails, slideshow pictures, WebP optimized versions for web and mobile. Supports visual vehicle displays in automotive platforms.
Market Intelligence: Price history with timestamps and change tracking, view counts, listing status, warranty information, and export eligibility. Reveals pricing strategies and market demand signals.
Features & Equipment: Comprehensive feature lists (ABS, airbags, leather seats, parking sensors, sunroof, etc.) standardized across listings. Powers feature-based search and comparison tools.
Year-Based Analytics: Aggregated data by manufacturing year showing average prices, mileage, inventory count, and price ranges per year. Enables depreciation analysis and inventory planning.
Target Users:
Automotive Dealers monitor competitor inventory, pricing strategies, and market availability across regions. Price Comparison Platforms build comprehensive databases for consumer vehicle shopping. Market Researchers analyze regional automotive trends, popular models, and pricing patterns. Automotive Financiers assess vehicle values for loan underwriting and insurance. Export Businesses identify vehicles marked for export and track cross-border automotive trade.
Input Configuration: Targeting Search Pages
The scraper processes YallaMotor search result URLs from any country site (uae.yallamotor.com, ksa.yallamotor.com, egypt.yallamotor.com, etc.).
Example Input:
Example Screenshot:
Parameters:
proxy: Set useApifyProxy: true with residential proxies for production scraping. For testing or low-volume use, false works but may face rate limits.
offset: Starting position for pagination. Set to 0 to begin from first result. Used internally for large dataset extraction.
max_items_per_url: Listings to extract per URL (default 20 matches typical page size). Increase for comprehensive extraction, decrease for sampling.
ignore_url_failures: Set true for multi-URL runs—ensures one failed URL doesn't stop entire job. Essential for bulk scraping.
urls: Search result page URLs. Format: https://[country].yallamotor.com/used-cars/[filters]. Examples:
- By body style:
/used-cars/bs_suv-crossover - By city:
/used-cars/sharjah - By make/model:
/used-cars/gmc/yukon - Combined filters:
/used-cars/dubai/toyota/land-cruiser/2020-2025
Building URLs: Use YallaMotor's search interface to apply filters (location, make, model, year range, price range, body style), then copy the resulting URL. Pagination is automatic—include ?page=X only for specific pages.
Output Structure: Field Explanations
EN/AR Objects: Identical structure in English and Arabic containing make, model, version, location (place/city/area), user details, and auto company information. Purpose: Serve multilingual markets, enable Arabic-language platforms, cross-reference translations.
Make/Model/Version: Hierarchical vehicle identification with IDs, slugs, names, and display titles. Purpose: Vehicle categorization, linking to manufacturer data, building navigation structures.
Place/City/Area: Three-level geographic hierarchy with IDs and currency information. Purpose: Regional price analysis, location-based filtering, understanding market-specific pricing (Dubai vs. Sharjah, Riyadh vs. Jeddah).
User Object: Seller contact information (ID, name, email, phone, mobile, landline). Purpose: Lead generation, seller verification, distinguishing private sellers from dealers.
Auto Company Object: Dealership details including certification status, logo display preferences, address, branch information, tracking capabilities (WhatsApp/call tracking), and OEM agency status. Purpose: Dealer competitive intelligence, certified dealer filtering, dealership network mapping.
Media Object: Nested arrays of image URLs in multiple formats and sizes—thumb pictures, slideshow pictures, WebP versions for web/mobile. Purpose: Visual content for listings, optimized image delivery across devices, gallery displays.
Facets Year: Array containing year-based aggregations—slug, title, link, cheapest price, maximum price, average price, average mileage, listing count, and SEO-friendly link titles. Second object provides make/model context. Purpose: Depreciation analysis, inventory distribution by year, pricing trends over model years.
Facets Year City: Similar to facets_year but segmented by city, showing how pricing and availability vary geographically within same year/model. Purpose: Regional market comparison, identifying best markets for specific vehicles.
Features: Array of standardized feature codes (e.g., "abs_anti_lock_brake_system", "leather_seats", "rear_camera"). Purpose: Feature-based search, vehicle comparison, equipment analysis across listings.
Price History: Array of price change events with timestamps, event type (create/update), and detailed change logs showing field-level modifications. Purpose: Tracking price adjustments, understanding seller behavior, identifying pricing strategies (gradual reductions, relisting patterns).
Sample Output Structure:
Implementation Guide
1. Define Target Market: Choose country sites and vehicle categories. UAE and Saudi Arabia have highest inventory; Egypt and other markets offer different pricing dynamics.
2. Build Search URLs: Use YallaMotor filters to create targeted searches—by city (Dubai, Riyadh), body style (SUV, sedan), make/model, year range. Copy URLs for each search combination.
3. Configure Input: Add URLs to input JSON. For large datasets (500+ listings), use multiple URLs covering different pages. Set max_items_per_url based on needs (20-50 typical).
4. Execute Scrape: Run via Apify. Processing 20 listings typically completes in 1-2 minutes. Large multi-page runs may take 10-20 minutes depending on URL count.
5. Export & Analyze: Export JSON for databases or CSV for spreadsheet analysis. Bilingual data requires careful handling—store EN and AR fields separately or in localized columns.
Handling Pagination: YallaMotor shows ~20 listings per page. For complete inventory scraping, either manually add page URLs (?page=1, ?page=2, etc.) or increase max_items_per_url beyond page limits to trigger automatic pagination.
Error Management: Some listings may be removed or edited during scraping. Activity logs show specific failures. Failed URLs are typically expired listings—safe to ignore in most cases.
Strategic Applications
Dealership Competitive Intelligence: Monitor competitor inventory across regions—what models they stock, pricing strategies, how quickly inventory turns over. Track certified dealers vs. independent sellers.
Regional Pricing Analysis: Compare identical vehicle across UAE cities or between countries (UAE vs. Saudi pricing differences). Identify arbitrage opportunities for vehicle trading.
Depreciation Modeling: Use facets_year data to calculate depreciation curves by make/model. Average prices and mileage by year reveal market depreciation rates and high-mileage impacts.
Inventory Planning: Track which models/years have highest listing counts vs. lowest. High inventory with low prices suggests oversupply; low inventory with high prices signals demand exceeding supply.
Feature Demand Analysis: Analyze feature arrays across price points and regions. Quantify value of specific features (sunroof, leather, 4WD) by comparing prices of vehicles with/without features.
Lead Generation: Extract dealer contact information systematically. Build databases of active dealers by region and specialization for B2B automotive services.
Price History Intelligence: Track individual listings over time using price_history. Identify average time-to-sale by price reduction patterns. Understand seller flexibility in negotiations.
Export Market Tracking: Filter by export_status field to identify vehicles available for international trade. Map export flows between Middle East markets.
Best Practices
Multi-Market Scraping: Run separate jobs per country site for cleaner data organization. Merge datasets later with country identifiers. Respect that pricing, availability, and regulations vary significantly between markets.
Bilingual Data Management: Store EN and AR fields in separate database columns or use localization tables. Don't concatenate—keep languages fully separate for proper querying and display.
Image Optimization: Use WebP versions for web display (smaller files, faster loading). Store multiple sizes (thumb for listings, slideshow for detail pages) to optimize performance across use cases.
Refresh Frequency: Automotive inventory changes rapidly. Scrape active search pages daily for competitive monitoring, weekly for market trend analysis. Price history accumulates value over time—don't delete old records.
Feature Standardization: YallaMotor uses consistent feature codes. Build a mapping table translating codes to user-friendly names in multiple languages for display purposes.
Dealer Verification: Cross-reference auto_company IDs across multiple listings to build complete dealer profiles—their full inventory, price positioning, locations, certification status.
Privacy Compliance: Seller contact information is publicly listed but should be handled per GDPR/local privacy laws. Use for intended business purposes only, implement proper data protection.
