We extract car listings, dealership inventories, pricing signals, and vehicle specifications from Dubicars. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Vehicle Listings objects from dubicars.com. All fields typed and schema-versioned.
"listing_id": "DC-849201", "make": "Toyota", "model": "Land Cruiser", "year": 2023, "price_aed": 315000, "mileage_km": 12500, "specs_origin": "GCC Specs", "exterior_colour": "White"
| # | listing_id | make | model | year | trim | price_aed |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dealerships objects from dubicars.com. All fields typed and schema-versioned.
"dealer_id": "DLR-492", "name": "Al Awir Motors", "location": "Dubai, Ras Al Khor", "verified_status": true, "total_listings": 142, "contact_phone": "+971501234567", "whatsapp_number": "+971501234567"
| # | dealer_id | name | location | verified_status | total_listings | average_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Finance objects from dubicars.com. All fields typed and schema-versioned.
"listing_id": "DC-849201", "price_aed": 315000, "emi_aed": 4850, "finance_available": true, "price_dropped": true, "previous_price": 325000, "discount_pct": 3.1
| # | listing_id | price_aed | emi_aed | finance_available | price_dropped | previous_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Technical Specs objects from dubicars.com. All fields typed and schema-versioned.
"listing_id": "DC-849201", "engine_capacity_cc": 3500, "cylinders": 6, "horsepower": 409, "fuel_type": "Petrol", "drive_type": "4WD", "seating_capacity": 7
| # | listing_id | engine_capacity_cc | cylinders | horsepower | fuel_type | drive_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Search Results objects from dubicars.com. All fields typed and schema-versioned.
"keyword": "nissan patrol", "position": 3, "listing_id": "DC-910234", "promoted_badge": true, "price_aed": 285000, "dealer_name": "VIP Motors", "scraped_at": "2026-05-12T10:15:00Z"
| # | keyword | make_filter | position | listing_id | title | price_aed |
|---|---|---|---|---|---|---|
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Our Dubicars scraper captures the complete automotive ecosystem: vehicle specifications, dynamic pricing, dealer inventories, and finance options. Built to handle regional blocking and JavaScript-rendered contact details.
Extract make, model, year, trim, mileage, GCC specification status, exterior and interior colours, and warranty details for every vehicle.
Capture AED listing prices, estimated EMI calculations, finance availability flags, and export-only pricing tiers.
Track dealer inventories, verified status, location data, and aggregate pricing metrics across the Al Awir and Abu Dhabi auto markets.
Execute JavaScript clicks to reveal hidden phone numbers and WhatsApp contact links for lead generation and dealer mapping.
Scrape engine capacity, cylinder count, horsepower, transmission type, and fuel requirements directly from the vehicle detail pages.
Collect high-resolution image gallery URLs and 360-degree interior/exterior spin links for visual analysis models.
Monitor listings over time to detect price reductions, calculating absolute drops and discount percentages automatically.
Identify paid placements and 'Featured' badges in search results to analyse dealership marketing spend and visibility.
Run continuous pipelines to maintain a real-time mirror of UAE vehicle availability with automated change-detection diffing.
Brief in. Clean data out.
Provide target makes, models, price bands, or specific dealership URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, Middle East proxy rotation, and JavaScript execution for Dubicars.
Schema validation, null-rate checks, currency formatting, and sample contact reveals before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Automotive portals protect dealer contact info and block high-volume scrapers. Here is how we ensure reliable data delivery.
Dubicars restricts aggressive traffic from non-GCC IP ranges. Our crawlers route requests through residential ISP proxies based in the UAE and surrounding regions, ensuring high success rates and avoiding geo-blocks.
Phone numbers and WhatsApp links are hidden behind 'Show Number' buttons to prevent basic scraping. We run full Playwright browser sessions to execute these clicks, wait for the network response, and capture the unmasked contact details.
The UAE used car market moves fast. We maintain a hash index of active listings. Subsequent runs only push new vehicles, sold vehicles, or price changes, reducing your downstream processing load.
Dealer descriptions and spec sheets often contain unstructured text. We parse and normalise fields like mileage, price, and engine capacity into strict numeric types, ensuring your warehouse receives clean, queryable data.
Standard category pages cap out at a certain depth. We generate granular search permutations intersecting make, model, and year to extract the entire catalogue without hitting pagination limits.
Dealerships and classifieds portals monitor competitor pricing and inventory velocity to optimise their own listing strategies.
Banks and lenders analyse average vehicle values and depreciation curves to structure competitive auto loan products.
Trading companies track the availability and pricing of export-only vehicles moving through UAE free zones.
Insurance providers ingest real-time market data to calculate accurate replacement values and total-loss settlements.
Data science teams train machine learning models on historical pricing, mileage, and specification data to predict residual values.
B2B automotive service providers extract verified dealership contact details to build targeted sales pipelines.
"The UAE automotive market is highly fragmented. Aggregating structured pricing and specification data is the only way to build accurate valuation models."
Extracting automotive data requires more than simple HTTP requests. You need UAE-based IPs, JavaScript execution to reveal contact details, and robust normalisation to handle inconsistent dealer inputs. DataFlirt manages this infrastructure so your team can focus on market analysis.
Everything supported by our dubicars.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript execution, specifically targeting UI elements that mask dealer contact details.
We maintain pools of residential ISP proxies specifically located in the UAE and wider GCC region to ensure high success rates against regional firewalls.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state and historical pricing data is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About dubicars.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available vehicle listings and dealership information is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not bypass login walls or extract private user data. Clients should review Dubicars' Terms of Service and consult legal counsel for their specific use case.
Yes. We use headless browsers to interact with the page, simulating a user click on the 'Show Number' button to reveal and extract the underlying phone and WhatsApp numbers.
We route our extraction requests through residential proxies physically located in the UAE and neighbouring GCC countries. This matches expected traffic patterns and prevents blanket geo-blocking.
We support daily, hourly, or near real-time extraction cadences depending on the scope of the target search parameters or specific dealership pages.
Yes. We parse unstructured text into strict types. Engine capacities, mileages, and prices are converted to numeric fields, and specification origins (e.g., GCC vs US) are categorised into standard enums.
Our smallest packages start at defined search parameters or specific dealership lists with weekly delivery. For full-site catalogue extraction, we price based on volume and delivery frequency.
Yes. We provide a sample run of up to 500 vehicle listings as part of the pre-engagement scoping process, allowing you to validate schema fit and field completeness.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily inventory sync or a historical pricing dataset across the UAE market, we scope, build, and operate the pipeline. Tell us what you need.
