We extract used car listings, dealership inventories, pricing trends, and vehicle specifications from Hatla2Ee. 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 Used Car Listings objects from hatla2ee.com. All fields typed and schema-versioned.
"listing_id": "492817", "make": "Hyundai", "model": "Elantra", "year": 2020, "price": 850000, "currency": "EGP", "mileage_km": 45000, "transmission": "Automatic"
| # | listing_id | make | model | year | price | currency |
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Complete list of extractable fields for Dealership Data objects from hatla2ee.com. All fields typed and schema-versioned.
"dealer_id": "D-9921", "dealer_name": "Auto Star Motors", "location": "Cairo, Nasr City", "active_listings_count": 142, "brands_carried": "['Hyundai', 'Kia', 'Toyota']", "phone_number": "+201001234567"
| # | dealer_id | dealer_name | location | phone_number | whatsapp_number | active_listings_count |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Vehicle Specifications objects from hatla2ee.com. All fields typed and schema-versioned.
"listing_id": "492817", "engine_capacity_cc": 1600, "fuel_type": "Petrol", "transmission": "Automatic", "doors": 4, "seating_capacity": 5
| # | listing_id | engine_capacity_cc | cylinders | fuel_type | drive_type | doors |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for New Car Prices objects from hatla2ee.com. All fields typed and schema-versioned.
"make": "Kia", "model": "Sportage", "trim": "Highline", "year": 2024, "official_price": 1800000, "currency": "EGP", "installment_min_downpayment": 540000
| # | make | model | trim | year | official_price | currency |
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Complete list of extractable fields for Installment & Financing objects from hatla2ee.com. All fields typed and schema-versioned.
"listing_id": "492817", "down_payment": 250000, "monthly_installment": 14500, "tenure_months": 60, "requires_insurance": true, "financing_bank": "NBE"
| # | listing_id | price | down_payment | monthly_installment | financing_bank | interest_rate |
|---|---|---|---|---|---|---|
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Our Hatla2Ee scraper handles every layer of the platform: private listings, dealership inventories, dynamic pricing, and contact details, with JavaScript rendering and Arabic text normalisation built in.
Make, model, year, trim, mileage, transmission, colour, and location scraped at scale across all listing categories.
Extract data across Hatla2Ee Egypt, UAE, Saudi Arabia, and other GCC domains using geo-targeted proxies.
Capture full cash prices alongside down payment requirements and monthly installment plans.
Monitor dealer inventory size, pricing strategies, and contact information across different cities.
Extract phone numbers and WhatsApp links embedded in seller profiles by rendering JavaScript click events.
Engine capacity, body type, fuel type, and feature lists extracted into structured JSON payloads.
Monitor price drops and listing duration to calculate average days on market for specific models.
Capture high resolution vehicle exterior and interior image links directly from the listing gallery.
Run daily bulk exports or configure continuous pipelines for new listings with change-detection diffing.
Brief in. Clean data out.
Provide target regions, makes, models, or dealership URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and Arabic text normalisation for Hatla2Ee.
Schema validation, null-rate checks, price outlier detection, and sample listings before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured market intelligence requires navigating regional blocking and dynamic frontends. Here is how we stay resilient.
Hatla2Ee serves different content based on regional IPs. Our crawlers use residential ISP proxies located in Egypt, UAE, and KSA to ensure accurate local pricing and inventory visibility.
Seller phone numbers are often hidden behind JavaScript click events. We run full Playwright browser sessions to trigger these events and extract the raw contact data without triggering rate limits.
Vehicle specifications and locations are frequently listed in Arabic. Our pipeline normalises text encoding, cleans whitespace, and maps Arabic strings to standard English identifiers where required.
Category pages often cap results or use infinite scroll. We bypass frontend UI limitations by intercepting backend API calls, ensuring 100% extraction of deep inventory catalogues.
For large dealership inventories, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Track used car valuation trends, depreciation curves, and average days on market across different makes and models.
Monitor competitor inventory depth, pricing strategies, and new stock additions in real time.
Banks and insurance companies use market value data to underwrite car loans and calculate premium rates.
Aggregate private seller listings to acquire inventory for used car showrooms or C2B purchasing platforms.
Populate vertical search engines and classified portals with structured, deduplicated vehicle listings.
Analyse used car price inflation and inventory turnover as proxy metrics for regional macroeconomic health.
"Hatla2Ee holds the most comprehensive automotive pricing dataset in the Middle East, but extracting structured market intelligence requires navigating regional blocking and dynamic frontends."
Most teams underestimate the investment required: reliable Hatla2Ee scraping requires MENA-region residential proxies, full JavaScript rendering for contact details, Arabic text normalisation, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our hatla2ee.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 rendering, cookie sessions, and click-to-reveal interaction flows.
We maintain pools of residential ISP proxies across Egypt, UAE, and KSA. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About hatla2ee.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available vehicle listings and dealership data is generally permissible. DataFlirt targets only public, non-authenticated market data. We do not extract personal data beyond publicly listed seller contacts. Clients should review Hatla2Ee terms of service and consult legal counsel for specific use cases.
Hatla2Ee often obfuscates seller contact details behind JavaScript click events. We run full Playwright browser sessions to simulate user interaction, trigger the network requests, and parse the resulting contact data.
Yes. Our pipeline natively handles Arabic UTF-8 encoding. We clean whitespace, normalise characters, and can map specific Arabic automotive terms to English identifiers if required by your schema.
We support the full Hatla2Ee network including Egypt, UAE, Saudi Arabia, Qatar, Oman, and Kuwait. Target regions are configured per pipeline.
Continuous pipelines can achieve sub-60-minute latency for new vehicle listings. Full catalogue refreshes typically complete within a 4-8 hour window depending on the target region size.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per vehicle ID, allowing you to track price reductions and days on market.
Our packages start at defined regional extractions with daily delivery. We price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off vehicle catalogue dump or a continuous price-monitoring feed across the MENA region, we scope, build, and operate the pipeline. Tell us what you need.
