We extract condo listings, landed properties, rental yields, agent profiles, and transit proximity from Ddproperty. Delivered as clean JSON, CSV, or Parquet.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Property Listings objects from ddproperty.com. All fields typed and schema-versioned.
"property_id": "DD-189423", "title": "Ashton Asoke 2 Bed Condo", "property_type": "Condominium", "price": 12500000, "price_per_sqm": 195312, "bedrooms": 2, "floor_area_sqm": 64
| # | property_id | title | property_type | price | price_per_sqm | bedrooms |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Condo Projects objects from ddproperty.com. All fields typed and schema-versioned.
"project_id": "PRJ-9921", "project_name": "Ashton Asoke", "developer": "Ananda Development", "completion_year": 2018, "total_units": 783, "nearest_mrt": "Sukhumvit MRT"
| # | project_id | project_name | developer | completion_year | total_units | total_floors |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Agent Profiles objects from ddproperty.com. All fields typed and schema-versioned.
"agent_id": "AG-44912", "agent_name": "Somchai Sukhumvit", "agency_name": "Bangkok Premier Real Estate", "active_listings": 42, "languages_spoken": "['Thai', 'English']", "joined_date": "2019-04-12"
| # | agent_id | agent_name | agency_name | license_number | active_listings | phone_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Rental Market objects from ddproperty.com. All fields typed and schema-versioned.
"listing_id": "R-88321", "monthly_rent": 45000, "deposit_months": 2, "minimum_lease_months": 12, "furnishing_status": "Fully Furnished", "pet_friendly": false
| # | listing_id | property_type | monthly_rent | deposit_months | advance_rent_months | minimum_lease_months |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location Data objects from ddproperty.com. All fields typed and schema-versioned.
"property_id": "DD-189423", "district": "Watthana", "sub_district": "Khlong Toei Nuea", "nearest_bts_station": "Asok BTS", "bts_distance_meters": 250, "nearest_mrt_station": "Sukhumvit MRT"
| # | property_id | district | sub_district | street_name | nearest_bts_station | bts_distance_meters |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Ddproperty scraper handles the entire PropertyGuru platform architecture: dynamic map interfaces, phone number reveals, and deep pagination limits.
Extract condos, townhouses, villas, and commercial spaces with exhaustive metadata including floor area and land size.
Capture asking prices, price per square meter, and rental rates with historical diffing to track market trends.
Extract exact distances to BTS, MRT, ARL stations, and major expressways for precise valuation models.
Aggregate building level data including completion dates, facility lists, and total unit counts.
Compile agent contact details, agency affiliations, and active listing counts across all districts.
Capture high resolution image URLs, virtual tour links, and floor plan graphics for property portals.
Extract exact latitude and longitude coordinates for precision mapping and spatial analysis.
Pull parallel sales and rental listings to calculate gross rental yields per project or district.
Run daily or weekly updates to catch new listings and delisted properties immediately.
Brief in. Clean data out.
Provide target districts, property types, or developer names. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and CAPTCHA handling for Ddproperty interfaces.
Schema validation, null rate checks, and price outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on agreed cadence.
PropertyGuru portals deploy strict rate limits and pagination caps. Here is how we extract complete datasets.
Ddproperty uses Cloudflare and strict rate limiting. We use Thai residential proxies to distribute requests, avoiding geo-blocking and IP bans.
Map views and agent phone numbers require full browser interaction. We execute Playwright sessions to trigger click events and capture hidden data.
PropertyGuru updates DOM structures frequently. We use fallback chains for core fields to ensure schema stability during layout changes.
We maintain a hash index of active listings. You receive diffs rather than full re-dumps, saving compute costs and downstream processing.
Search results cap at 50 pages. We programmatic subdivide searches by micro-locations and price bands to extract the entire hidden inventory.
Firms build automated valuation models using historical price per sqm and specific location data.
Funds calculate rental yields by comparing sales and rental listings within the same condo projects.
Brokerages monitor competitor agent inventory, listing volume, and overall market share.
Researchers analyse transit proximity premiums and development density across Bangkok districts.
Portals ingest Ddproperty listings to enrich their own regional property catalogues.
Service providers extract agent directories to pitch photography, staging, or mortgage services.
"Ddproperty holds the definitive pulse of Thailand's real estate market, but extracting accurate, structured data requires navigating complex bot protection and dynamic mapping interfaces."
Most teams underestimate the investment required: reliable Ddproperty scraping requires Thai residential proxies, full JavaScript rendering for contact reveals, and granular search iteration to bypass pagination limits. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our ddproperty.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 orchestration and deduplication. Playwright handles JavaScript rendering for map interfaces and contact reveals.
We maintain pools of Thai residential ISP proxies. Rotation happens per request with sticky sessions to maintain state.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and SLA alerting, ensuring data arrives on time.
Data delivered to where your team already works — no new tooling required.
About ddproperty.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public real estate listings is generally permissible. We extract only public data, avoiding authenticated user areas and personal user accounts. Clients should consult legal counsel for specific use cases.
Ddproperty obfuscates agent phone numbers on listings. We use Playwright to simulate user interaction, trigger the reveal event, and capture the full contact details.
Yes. We programmatic subdivide searches by micro-locations, property types, and narrow price bands to extract the full catalogue without hitting pagination caps.
We capture the listing price at the time of the crawl. Historical time-series data builds up from the day your pipeline starts, allowing you to track price drops over time.
Yes. We extract building-level metadata, facility lists, and aggregate unit metrics separate from individual property listings.
Daily pipelines capture new listings and price drops within 24 hours. Hourly monitoring is available for specific high-value districts or projects.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily sync of Bangkok condo listings or a full historical pull of Phuket villas, we scope, build, and operate the pipeline. Tell us what you need.
