REAL ESTATE
Bayut data scraping service.
Property listings, pricing trends, and market data from the UAE's largest real estate portal. Dubai, Abu Dhabi, Sharjah, and beyond.
The problem.
WHY THIS IS HARDER THAN IT LOOKS
Proptech startups, real estate investment firms, and market analysts working in the UAE need structured property data from Bayut, the country's largest real estate portal. Bayut does not offer a commercial data API, and the volume of listings (sales, rentals, off-plan) across Dubai, Abu Dhabi, Sharjah, and other emirates makes manual data collection impractical.
The UAE real estate market has a structural complexity that is not obvious from the outside. The most important split is between off-plan and resale. Off-plan properties are sold by developers before construction is complete, often at pre-launch or launch-phase pricing. These listings behave differently from resale: they show unit types and floor plans rather than specific properties, prices change as construction phases progress, and the developer is the counterpart rather than an individual seller. Resale listings are secondary market transactions. Both categories appear on Bayut, but they require different data fields and different interpretation. A second layer of complexity is freehold vs leasehold zoning. Freehold areas allow foreign ownership, which makes them the primary target for investment buyers. Leasehold areas restrict ownership to UAE nationals or long-term leases. The pipeline tags each listing with its zone classification, which is a critical filter for investment analysis. Filtering to freehold-only listings in specific communities like Dubai Marina, Downtown Dubai, or Palm Jumeirah is a common setup for investment fund screening.
The data need is specific: listing prices, property specifications, location data, agent information, images, and historical price movements. For firms building investment models, valuation tools, or market reports, this data is the foundation.
For a proptech startup I work with, the pipeline extracts 80,000 property listings across 35 UAE neighborhoods with 1.2 million property images and 99.2% data completeness. The initial extraction delivered in 5 days with weekly refresh running automatically since then.
This service builds the same pipeline for your UAE real estate data needs.
Is this right for you?
GOOD FIT IF ANY OF THESE SOUND LIKE YOU
You are a proptech startup building a product that needs UAE property listing data as a foundation
You are a real estate investment firm or fund analyzing the UAE market and need structured listing data
You need historical pricing data and trend analysis for UAE neighborhoods
You are a market research firm producing UAE real estate reports and need reliable, refreshable data
What you receive.
EXACT FIELDS, DELIVERED IN YOUR FORMAT
Sample record.
{
"listing_id":"bayut-1234567",
"property_type":"Apartment",
"listing_type":"for_sale",
"price": 2850000,
"bedrooms": 2,
"bathrooms": 3,
"area_sqft": 1450,
"location":"Downtown Dubai, Burj Khalifa Area",
"neighborhood":"Downtown Dubai",
"agent_name":"Allsopp & Allsopp",
"image_count": 24,
"extracted_at":"2026-04-14T07:30:00Z"
}Straightforward pricing.
SCALE DETERMINES PRICE · NO HIDDEN FEES
Market snapshot
One-time extraction of listings in specific neighborhoods or property types. Delivered in 3 to 5 days.
- Up to 10,000 listings
- Any UAE market
- Full field set
- CSV, JSON, or Google Sheet
Market monitoring
Weekly refresh with change detection and pricing trend tracking.
- Up to 50,000 listings
- New listing alerts
- Price change tracking
- PostgreSQL or Sheet delivery
Full market intelligence
Complete UAE market coverage with historical pricing and image extraction.
- All emirates
- 1M+ images
- Historical price series
- Scoping call required
Frequently asked questions.
EVERYTHING YOU NEED TO KNOW
All markets listed on Bayut: Dubai, Abu Dhabi, Sharjah, Ajman, Ras Al Khaimah, Fujairah, and Umm Al Quwain. Dubai has the deepest listing volume. Coverage for other emirates depends on the number of active listings in each market.
Yes. For the running proptech client the pipeline has extracted 1.2 million property images. Images are delivered via CDN URLs or downloaded directly to S3/GCS storage. Image extraction is available on the Market Monitoring and Full Market Intelligence tiers.
Yes. Weekly refresh with change detection captures price increases, decreases, and listing status changes (active, under offer, sold). Over time this builds a historical price series per property and per neighborhood.
Yes. Off-plan listings on Bayut are extracted alongside sale and rental listings. The listing_type field distinguishes between for_sale, for_rent, and off_plan.
For the running engagement the data completeness rate is 99.2% across all fields. The 0.8% of incomplete records are listings where the agent chose not to disclose certain fields (price on request, area not listed). These are flagged in the output.
A neighborhood-specific snapshot starts at $199 for up to 10,000 listings. Market monitoring starts at $499 per month for up to 50,000 listings with weekly refresh. Full market intelligence scopes per engagement.
A market snapshot delivers in 3 to 5 days. Market monitoring setup takes about 1 to 2 weeks for initial extraction, schema mapping, and delivery configuration. After setup the weekly pipeline runs automatically.
Yes. Off-plan listings on Bayut are tagged separately from resale, and the pipeline monitors new project launches by developer, new unit releases within existing projects, and price adjustments per construction phase. For investment firms evaluating developer pipelines, this provides a structured feed of project activity across Dubai and Abu Dhabi without manually tracking dozens of developer websites.
Yes. By aggregating listings by developer name, I can build a developer-level view: total units listed, average price per square foot, project count, launch frequency, and price trends per project. This is useful for competitive intelligence between developers or for investors comparing developer risk profiles before committing to off-plan purchases.
Yes. For the running proptech client the pipeline has extracted 1.2 million images across 80,000 listings, averaging 15 images per listing. Images are delivered as CDN URLs in the JSON output, or downloaded directly to an S3 or GCS bucket you specify. Large image extraction runs in parallel batches to stay within reasonable timeframes. A 10,000-listing image extraction with 10 images per listing takes roughly 2 to 3 days.