Real Estate Data Scraping In Singapore, built for the Lion City's property market
Listings, asking prices, floor plans, agent details and transaction records pulled from every major Singapore property portal structured, deduplicated, and delivered on a schedule you set. Real Estate data scraping in Singapore turns scattered listings into one clean, analytics-ready feed.
Real Estate Industry Overview In Singapore
Singapore's property market is small in land area but dense in data HDB resale flats, private condominiums, landed homes and commercial units all move through separate portals with their own listing cycles. Here's the landscape our pipelines are built for.
Between multiple listing portals, agency-run microsites, developer landing pages and classifieds aimed at expats, property data in Singapore shifts constantly new units get listed daily, asking prices are revised weekly, and agents relist the same unit across several platforms under different descriptions. Manual tracking cannot keep pace across this fragmentation, which is why agencies, developers and analysts rely on Real Estate data scraping in Singapore instead of spreadsheets and manual portal checks.
Our Real Estate Data Scraping Services
End-to-end coverage of the property data stack from raw listing extraction to analytics-ready delivery.
Property Listing Data Extraction
Project names, unit types, addresses, tenure, and listing status across every portal in the city-state.
Floor Plan & Unit Data Scraping
Unit-level layouts with size, bedroom count, and stack configuration, refreshed on schedule.
Pricing & Transaction Monitoring
Asking price, transacted price, and PSF tracking across resale, new-launch, and rental segments.
Agent & Agency Data Extraction
Agent name, agency, contact details, listing counts, and performance history per profile.
Rental & Lease Intelligence
Asking rents, lease terms, vacancy signals, and rental yield indicators by district.
Location & District Mapping
Geo-coordinates, MRT proximity, developer footprint, and district-level density mapping.
Leading Real Estate Delivery Platforms We Scrape
Portals, classifieds, and agency-run listing networks covering Singapore's residential and commercial market.
Coverage for Real Estate data scraping in Singapore is built and maintained per client requirement, in line with each platform's public data and applicable terms of use.
Property Listing Data Extraction
A complete, deduplicated listing master per district the foundation layer every downstream valuation model depends on.
- Project name, developer, property type, and tenure
- Listing status and days-on-market tracking
- Cross-platform ID matching to remove duplicate listings
{
"listing_id": "WDC-SGP-07214",
"name": "Parc Clematis",
"platform": "PropertyGuru",
"district": "D05",
"area": "Clementi",
"tenure": ["99-year Leasehold"],
"asking_price_sgd": 1680000,
"psf": 1720,
"status": "active",
"last_scraped": "2026-07-14T09:12:00Z"
}
Floor Plan & Unit Data Scraping
Unit-level catalogue capture including size and stack mix, so pricing and inventory teams work from the same source of truth.
- Unit type, bedroom count, and floor area in sqft
- Stack configuration, orientation, and floor level
- Availability status and unit-mix breakdown
| Unit Type | Size (sqft) | Price S$ | Status |
|---|---|---|---|
| 2-Bedroom | 689 | 1,210,000 | Available |
| 3-Bedroom Premium | 1,022 | 1,780,000 | Available |
| 4-Bedroom | 1,346 | 2,350,000 | Sold Out |
| 1-Bedroom + Study | 527 | 980,000 | Available |
Real Estate Pricing & Transaction Monitoring
Track how asking prices, transacted prices, and PSF move across resale and new-launch segments, down to the district level.
- Asking price vs. last transacted price
- PSF benchmarks by district and property type
- Historical price change logs for trend analysis
| Property | Platform | Asking S$ | Change |
|---|---|---|---|
| D'Leedon | EdgeProp | 2,150,000 | -1.2% |
| Treasure At Tampines | 99.co | 1,340,000 | +0.8% |
| One Pearl Bank | PropertyGuru | 1,980,000 | +1.5% |
| Normanton Park | SRX Property | 1,560,000 |
Agent & Agency Data Extraction
Structured agent profile capture with listing history, so you can benchmark agency performance before it shows up in referrals.
- Agent name, CEA registration, and agency affiliation
- Active listing count and response-time signals
- Review score and closed-deal history where public
{
"agent_id": "WDC-AGT-3391",
"agency": "ERA Realty",
"active_listings": 47,
"districts_covered": 6,
"avg_response_min": 18,
"top_tags": ["responsive", "district specialist"]
}
Rental & Lease Intelligence
Understand rental demand and lease economics at the district and unit-type level.
- Asking rent by unit type and district
- Standard lease term and renewal signals
- Vacancy indicators from repeated relistings
| Area | Avg Rent S$ | Lease Term | Vacancy |
|---|---|---|---|
| Orchard | 5,200 | 12 months | Low |
| Tampines | 2,850 | 24 months | Moderate |
| Bukit Timah | 4,600 | 12 months | Low |
Location & District Mapping
Geo-tagged project data for footprint mapping, whitespace analysis, and developer density studies.
- Latitude/longitude and full postal address
- Property type: condo, landed, HDB, mixed-use
- Developer-wise project counts per district
| Developer | District | Projects | Type |
|---|---|---|---|
| CapitaLand | D09 | 6 | Condo |
| City Developments | D15 | 9 | Mixed-Use |
| UOL Group | D10 | 5 | Condo |
Real Estate Data Fields We Extract
A standard field set that most engagements start from extended per client on request.
Sample Property Dataset
A preview of the raw fields our crawlers pull from real estate platforms across Singapore this is a 10-row sample from a live dataset refreshed daily.
| # | Property | Type | District Area | Tenure | Bed | Platforms | Price S$ | PSF S$ | Updated |
|---|---|---|---|---|---|---|---|---|---|
| 01 | The Sail @ Marina Bay | Condo | D01 Marina Bay | 99-Yr Leasehold | 2-Bed | EDGPGR | 1,850,000 | 2,150 | 2026-07-14 05:40 |
| 02 | D'Leedon | Condo | D10 Farrer Road | 99-Yr Leasehold | 3-Bed | PGRSRX99C | 2,150,000 | 1,980 | 2026-07-14 05:55 |
| 03 | Reflections At Keppel Bay | Condo | D04 Keppel Bay | 99-Yr Leasehold | 4-Bed | EDGPGR | 3,600,000 | 2,240 | 2026-07-14 06:02 |
| 04 | Parc Clematis | Condo | D05 Clementi | 99-Yr Leasehold | 2-Bed | PGR99C | 1,680,000 | 1,720 | 2026-07-14 05:48 |
| 05 | Treasure At Tampines | Condo | D18 Tampines | 99-Yr Leasehold | 3-Bed | SRX | 1,340,000 | 1,340 | 2026-07-14 06:07 |
| 06 | Normanton Park | Condo | D05 Kent Ridge | 99-Yr Leasehold | 2-Bed | EDGPGRSRX | 1,560,000 | 1,650 | 2026-07-14 05:33 |
| 07 | One Pearl Bank | Condo | D03 Outram | 99-Yr Leasehold | 3-Bed | PGR99C | 1,980,000 | 2,010 | 2026-07-14 06:15 |
| 08 | Skywaters Residences | Condo | D01 Shenton Way | 99-Yr Leasehold | 1-Bed | EDGSRX99C | 2,450,000 | 3,180 | 2026-07-14 05:59 |
| 09 | Tengah Garden Walk | HDB | D22 Tengah | 99-Yr Leasehold | 4-Room | SRX | 620,000 | 580 | 2026-07-14 05:21 |
| 10 | The M | Condo | D07 Middle Road | Freehold | 1-Bed | PGREDG99C | 1,420,000 | 2,650 | 2026-07-14 06:20 |
🇸🇬 Sample records live Singapore property data API returns full datasets with all scraped fields across 28 districts
Access Full Datasets →Real Estate Industry Use Cases
How teams put this data to work once it lands in their warehouse.
Competitive pricing benchmarking
Compare asking and transacted prices across competing projects, district by district.
New-launch site selection
Identify undersupplied districts using listing density and absorption-rate data.
Portfolio valuation modelling
Feed live PSF and transaction data into automated valuation models.
Agent commission analysis
Reconcile listed prices against closed-deal figures across agencies.
Developer reputation monitoring
Track review sentiment and relisting frequency across developer portfolios.
Market-entry research
Size a district's property market before committing to expansion or acquisition.
Industries We Serve
Real Estate Agencies & Brokerages
Property Developers
PropTech Platforms
Market Research Firms
Investors & PE / VC Analysts
Mortgage & Financial Institutions
Relocation & Expat Services
Consulting & Advisory Firms
Benefits Of Real Estate Data Scraping
What structured, always-fresh property data actually changes for your team.
Faster decisions
Skip manual portal checks pricing and listing changes land in your pipeline within hours.
Island-wide coverage
See every listing in a district, not just the ones your team can manually check.
Historical trendlines
Price, PSF, and listing-status history that spreadsheets can't reconstruct after the fact.
Clean, deduped data
One listing record per unit, matched across platforms no duplicate noise.
Analyst hours saved
Redeploy research time from data collection to actual valuation and strategy.
API-ready delivery
Plug data directly into your BI tools, CRM, or internal valuation systems.
Our Real Estate Data Collection Process
Modelled on the same precision Singapore's own transit network runs on a coded, repeatable system that scales without dropping a single record.
Scope & target mapping
We confirm platforms, districts, and the exact field set your use case needs.
Pipeline build
Custom crawlers and parsers are built per platform, respecting each site's structure and terms.
Scheduled extraction
Data is pulled on the cadence you need hourly, daily, or weekly.
Cleaning & deduplication
Records are normalised, cross-platform matched, and validated before delivery.
QA & anomaly checks
Automated checks flag missing fields, price outliers, and expired listings.
Delivery & handoff
Final data lands in your chosen format or API endpoint, on schedule.
Data Delivery Formats & API Integration
Take the data however your stack consumes it.
CSV / Excel
Ready for spreadsheets and BI tools.
JSON
Nested, structured records for apps.
REST API
Query live data on demand.
Database push
Direct delivery into your warehouse.
{
"count": 1240,
"page": 1,
"results": [ "..." ],
"updated": "2026-07-14T06:00:00Z"
}
Districts Covered Across Singapore
Core-region-first coverage that extends into suburban and emerging estates as new launches come online.
Frequently Asked Questions
We collect publicly available listing data and structure our pipelines around each platform's public pages and applicable terms. We recommend clients review their own use case with legal counsel, especially for redistribution.
Refresh cadence is set per engagement commonly daily for pricing and listing status, and weekly for agent and location data.
Yes we build custom field mapping per client rather than delivering a fixed template. Share your schema and we'll scope accordingly.
CSV, Excel, JSON, direct database push, or REST API access whichever fits your existing stack.
Yes, coverage extends across HDB resale, private condominiums, landed homes, and commercial listings, scoped on request based on platform availability.
Fill in the form below with your district and platform of interest we'll share a free structured sample dataset within one business day.
Why Choose Our Web Data Crawlers?
Streamline Research
Automate data collection for comprehensive insights.
Save Time
Efficiently gather and analyze data from multiple sources.
Real-time Updates
Stay continuously informed with the latest information.
Competitive Advantage
Monitor competitors' activities and pricing strategies.
Insightful Analysis
Extract trends and patterns for strategic decision-making.
Market Intelligence
Aggregate data from diverse websites effortlessly.
Customizable Solutions
Tailored to fit specific business requirements seamlessly.
Enhanced Productivity
Streamline workflows and boost efficiency significantly.
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