We extract property listings, motor classifieds, agent intelligence, and historical pricing signals from Dubizzle. 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 Residential Properties objects from dubizzle.com. All fields typed and schema-versioned.
"listing_id": "PR-1049284", "title": "2BR Apartment with Marina View", "price": 1850000.0, "currency": "AED", "location": "Dubai Marina", "bedrooms": 2, "bathrooms": 3, "size_sqft": 1240, "rera_permit": "7124928472", "agency_name": "Betterhomes"
| # | listing_id | title | price | currency | location | neighborhood |
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Complete list of extractable fields for Motors & Vehicles objects from dubizzle.com. All fields typed and schema-versioned.
"listing_id": "MT-992831", "make": "Porsche", "model": "911 Carrera S", "year": 2021, "mileage_km": 24500, "price": 540000.0, "regional_specs": "GCC", "transmission": "Automatic", "warranty": true
| # | listing_id | make | model | year | mileage_km | price |
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Complete list of extractable fields for Commercial Real Estate objects from dubizzle.com. All fields typed and schema-versioned.
"listing_id": "CR-482910", "property_type": "Office Space", "price": 120000.0, "currency": "AED", "size_sqft": 1500, "location": "Business Bay", "building_name": "O-14 Tower", "furnished": "Fitted", "parking_spaces": 2
| # | listing_id | title | property_type | price | currency | size_sqft |
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Complete list of extractable fields for Agent & Broker Data objects from dubizzle.com. All fields typed and schema-versioned.
"broker_id": "BR-9281", "name": "Sarah Ahmed", "agency_name": "Haus & Haus", "brn": "48291", "rera_orn": "1933", "active_listings_count": 34, "languages": "['English', 'Arabic']", "joined_date": "2019-04-12"
| # | broker_id | name | agency_name | brn | rera_orn | active_listings_count |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for General Classifieds objects from dubizzle.com. All fields typed and schema-versioned.
"listing_id": "CL-582910", "category": "Electronics", "sub_category": "Laptops", "title": "MacBook Pro M2 16-inch", "price": 7500.0, "condition": "Perfect inside and out", "brand": "Apple", "location": "Downtown Dubai", "listed_date": "2023-10-14T08:30:00Z"
| # | listing_id | category | sub_category | title | price | currency |
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Our Dubizzle scraper handles every vertical on the platform: real estate listings, motor specifications, agent directories, and classifieds - with JavaScript rendering, session management, and anti-bot circumvention built in.
Title, location, RERA permit, bedrooms, bathrooms, size, amenities, and descriptive text extracted at the listing level.
Capture make, model, year, mileage, regional specs, exterior colour, and warranty status for all vehicle listings.
Extract broker names, BRN, agency ORN, active listing counts, and language capabilities across the directory.
Track original list prices, subsequent price drops, and premium listing badges timestamped per crawl.
Extract neighborhood, sub-community, and specific building names to map precise property locations.
Extract structured arrays for maid rooms, balconies, views, gym access, and parking spaces from raw text.
Extract office space, retail units, warehouses, and labor camps with DED license requirements.
Capture high-resolution image URLs and 360-degree virtual tour links for real estate listings.
Run one-off bulk exports or configure continuous pipelines at hourly or daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide categories, locations, or agent IDs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for Dubizzle.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Dubizzle employs strict rate limiting and bot detection. Here is how we stay resilient - and why teams choose managed infrastructure over DIY.
Dubizzle uses advanced bot detection based on IP reputation and browser headers. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management.
Contact numbers and specific listing details are heavily JavaScript-rendered and require user interaction. We run full Playwright browser sessions to trigger lazy-loads and reveal hidden data elements.
Dubizzle structures property listings differently from motors or general classifieds. Our selector strategy uses fallback chains tailored to each category so structural changes do not break your pipeline.
For large property and motor catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, schema drift, and coverage drops, responding before you notice any missing records.
PropTech firms and appraisers use historical listing data to build automated valuation models and track price per square foot trends.
Dealerships and auto-loan providers track depreciation curves, average days on market, and regional spec premiums.
Agencies monitor competitor brokerages to track active listing counts, time-to-rent metrics, and market share.
Institutional investors correlate sale prices with rental asking rates to identify high-yield neighborhoods and sub-communities.
Classifieds platforms and marketplaces track Dubizzle inventory levels across electronics, furniture, and jobs categories.
Machine learning teams use Dubizzle property descriptions and images to train computer vision models and NLP classifiers.
"Dubizzle holds the pulse of the UAE property and auto markets - but extracting historical pricing trends requires continuous, resilient pipeline infrastructure."
Most teams underestimate the investment required: reliable Dubizzle scraping requires residential proxies, full JavaScript rendering for contact details, CAPTCHA handling, and daily selector maintenance across disparate classified categories. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our dubizzle.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 retry logic. Playwright handles JavaScript rendering and interaction flows to reveal contact details.
We maintain pools of residential ISP proxies across UAE regions. Rotation happens per-request with sticky sessions where required to prevent blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About dubizzle.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Dubizzle is generally permissible. DataFlirt targets only public, non-authenticated property, motor, and classified data. We do not extract personal data beyond public agent profiles or circumvent authentication walls. Clients should review Dubizzle's ToS and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. We monitor for 403/CAPTCHA rate spikes in real time and trigger pool rotation automatically.
Yes. Our Playwright integration simulates the necessary user clicks to reveal masked phone numbers and WhatsApp contact links on property and motor listings.
Real-time streaming pipelines achieve sub-60-minute latency for new listings in specific categories. Full catalogue refreshes at daily cadence complete within a 4-8 hour window depending on category size.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record per listing ID to track price reductions, delistings, and days on market.
Our smallest packages start at a defined category scope (e.g., Dubai Marina properties) with weekly delivery. For full-site extraction or custom schema requirements, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off property catalogue dump or a continuous price-monitoring feed across 100K vehicle listings, we scope, build, and operate the pipeline. Tell us what you need.
