We extract residential and commercial listings, agent intelligence, project developments, and pricing records from iProperty. 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 Property Listings (Sale) objects from iproperty.com.my. All fields typed and schema-versioned.
"listing_id": "MY-SALE-892104", "title": "Corner Lot Semi-D at Mont Kiara", "price_myr": 3200000.0, "price_per_sqft": 850.0, "property_type": "Semi-detached House", "built_up_sqft": 3764, "bedrooms": 5, "tenure": "Freehold", "location_hierarchy": "Kuala Lumpur > Mont Kiara", "posted_date": "2026-05-10T14:22:00Z"
| # | listing_id | title | price_myr | price_per_sqft | property_type | built_up_sqft |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Property Listings (Rent) objects from iproperty.com.my. All fields typed and schema-versioned.
"listing_id": "MY-RENT-441290", "title": "Fully Furnished Condo in KLCC", "monthly_rent_myr": 4500.0, "built_up_sqft": 1200, "bedrooms": 2, "furnishing": "Fully Furnished", "agent_id": "AGT-9921", "available_date": "2026-06-01", "facilities": "['Swimming Pool', 'Gymnasium', '24-hour Security']"
| # | listing_id | title | monthly_rent_myr | deposit_myr | property_type | built_up_sqft |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Agent Profiles objects from iproperty.com.my. All fields typed and schema-versioned.
"agent_id": "AGT-9921", "name": "Sarah Lee", "agency_name": "IQI Realty Sdn Bhd", "ren_number": "REN 34211", "phone_number": "+60123456789", "active_listings_count": 42, "languages": "['English', 'Mandarin', 'Bahasa Malaysia']", "areas_covered": "['Mont Kiara', 'KLCC', 'Bangsar']"
| # | agent_id | name | agency_name | ren_number | phone_number | whatsapp_link |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for New Developments objects from iproperty.com.my. All fields typed and schema-versioned.
"project_id": "DEV-5521", "name": "The Horizon Residences", "developer_name": "Sunway Property", "completion_year": 2028, "total_units": 450, "min_price_myr": 850000.0, "max_price_myr": 1500000.0, "property_types": "['Condominium', 'Serviced Residence']"
| # | project_id | name | developer_name | completion_year | total_units | property_types |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Transaction History objects from iproperty.com.my. All fields typed and schema-versioned.
"transaction_id": "TXN-88219", "property_name": "Pavilion Residences", "transaction_date": "2025-11-14", "price_myr": 2100000.0, "price_per_sqft": 1575.0, "built_up_sqft": 1333, "property_type": "Serviced Residence", "tenure": "Leasehold"
| # | transaction_id | property_name | transaction_date | price_myr | price_per_sqft | built_up_sqft |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our iProperty scraper handles every layer of the platform: property listings, dynamic mapping interfaces, agent intelligence, and new development pages — with JavaScript rendering and WAF circumvention built in.
Title, price, PSF, tenure, furnishing, sqft, bedroom count, and every metadata field iProperty surfaces — categorised across sale and rent.
Capture REN numbers, active listing counts, agency affiliations, and unmasked contact numbers directly from agent profiles.
Extract project details, total units, completion dates, and developer information from premium project pages.
Extract exact latitude/longitude coordinates and structural location hierarchies for precise spatial analysis.
Capture publicly available historical sale prices and volume trends attached to building profiles.
Download high-resolution image URLs, virtual tour links, and floor plan diagrams attached to listings.
Categorised extraction across retail, industrial, office space, and residential property types.
Track listing price drops, status changes, and delistings with timestamped accuracy.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide target states, property types, price bands, or agent lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, Malaysian proxy rotation, and CAPTCHA handling for iproperty.com.my.
Schema validation, null-rate checks, and location coordinate verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Real estate portals deploy aggressive rate limiting and obfuscate agent contact details. Here is how we maintain reliable extraction at scale.
iProperty uses strict WAF rules. We route requests through Malaysian residential IPs with mimicking browser TLS fingerprints to avoid HTTP 403 blocks.
Phone numbers and WhatsApp links are often hidden behind JavaScript click events. Playwright headless browsers simulate these interactions to capture the unmasked data.
Search results cap at 100 pages. We bypass this by programmatically bisecting searches across hyper-localised polygons and price brackets to ensure 100% catalogue coverage.
Property detail layouts vary between standard listings and premium developer pages. We use fallback chains and Next.js JSON state extraction to normalise the data.
We maintain a hash index of active listings. Subsequent runs only push price adjustments, status changes, and new listings, reducing downstream processing load.
Train ML models on asking prices, PSF trends, and property attributes to generate accurate real estate valuations.
Identify high-performing agents by active listing volume and region to target for brokerage recruitment.
Cross-reference sale prices with rental rates in specific condominiums to calculate gross rental yields for property investors.
Monitor inventory levels across specific states (e.g., Selangor, Kuala Lumpur) to forecast housing supply gluts or shortages.
Track competing new development launches, pricing tiers, and unit absorption rates.
Identify new listings and price drops to target potential buyers with timely financing offers.
"iProperty holds the definitive record of Malaysian real estate supply, but extracting clean, structured data requires bypassing aggressive WAFs and unmasking dynamic DOM elements."
Most teams underestimate the investment required: reliable iProperty scraping requires Malaysian residential proxies, full JavaScript rendering for agent details, CAPTCHA handling, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our iproperty.com.my 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 and agent contact unmasking.
We maintain pools of Malaysian residential ISP proxies. Rotation happens per-request to prevent WAF bans.
Pipelines run on AWS ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About iproperty.com.my scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available property listings is generally permissible under applicable law. DataFlirt targets only public, non-authenticated data. We do not extract personal user data or bypass authentication walls.
We use headless Playwright browsers to execute the necessary JavaScript click events that unmask agent phone numbers and WhatsApp links on the listing page.
iProperty restricts search pagination. We programmatically divide search queries by granular geographic polygons, property types, and narrow price bands to ensure total catalogue capture.
We can configure daily or weekly sweeps of the entire Malaysian catalogue. For specific high-value areas (e.g., KLCC, Mont Kiara), we can run hourly streaming pipelines.
Publicly visible transaction summaries on listings are extracted. However, deep historical transaction data gated behind iPropertyPRO requires authenticated access, which we do not support.
Our smallest packages start at a defined regional scrape (e.g., all active listings in Selangor) with weekly delivery. 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 catalogue dump or a continuous price-monitoring feed across Malaysia — we scope, build, and operate the pipeline. Tell us what you need.
