We extract global property listings, yield estimates, residency program criteria, and pricing histories from Tranio. 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 objects from tranio.com. All fields typed and schema-versioned.
"property_id": "TR-98241", "title": "Luxury Villa with Sea View", "property_type": "Villa", "bedrooms": 4, "bathrooms": 3, "total_area_sqm": 320.5, "year_built": 2021, "status": "For Sale"
| # | property_id | title | property_type | status | bedrooms | bathrooms |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Financials objects from tranio.com. All fields typed and schema-versioned.
"property_id": "TR-98241", "price_primary": 1250000.0, "currency_primary": "EUR", "price_per_sqm": 3900.15, "yield_pct": 4.5, "roi_estimate_pct": 6.2, "price_timestamp": "2026-08-14T10:22:00Z"
| # | property_id | price_primary | currency_primary | price_eur | price_usd | price_per_sqm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location & Geography objects from tranio.com. All fields typed and schema-versioned.
"country": "Spain", "region": "Andalusia", "city": "Marbella", "district": "Puerto Banus", "distance_to_sea_m": 500, "distance_to_airport_km": 45.2, "is_exact_location": false
| # | property_id | country | region | city | district | latitude |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Citizenship & Residency objects from tranio.com. All fields typed and schema-versioned.
"eligible_for_program": true, "program_name": "Spain Golden Visa", "program_type": "Residency by Investment", "min_investment_required": 500000.0, "program_currency": "EUR", "processing_time_months": 3, "passport_eligible": true
| # | property_id | eligible_for_program | program_name | program_type | min_investment_required | program_currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Commercial Data objects from tranio.com. All fields typed and schema-versioned.
"commercial_type": "Retail", "tenant_type": "Supermarket Anchor", "lease_term_years": 10, "cap_rate_pct": 5.8, "occupancy_rate_pct": 100, "noi_annual": 72500.0
| # | property_id | commercial_type | tenant_type | lease_term_years | lease_expiry_date | cap_rate_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Tranio scraper handles every layer of the platform: residential listings, commercial yields, off-plan developments, and residency programs - with multi-currency normalisation built in.
Title, description, floor area, lot size, bedrooms, bathrooms, build year, and amenities scraped across all property types.
Capture advertised gross yield, estimated net ROI, projected rental income, and maintenance costs for investment properties.
Extract primary listing currency alongside EUR and USD conversions as displayed on the platform to maintain pricing consistency.
Identify properties eligible for Golden Visa or citizenship programs, including minimum investment thresholds and program types.
Extract tenant types, lease durations, cap rates, and occupancy percentages for commercial real estate listings.
Track development stages, expected completion dates, and developer profiles for off-plan investment opportunities.
Capture country, region, city, and district, along with proximity metrics like distance to sea, airport, and city centre.
Extract high-resolution image URLs, floor plan graphics, and virtual tour links associated with each listing.
Run one-off bulk exports or configure continuous pipelines at weekly or daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide target countries, property types, or investment criteria. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and pagination handling for tranio.com.
Schema validation, null-rate checks, currency conversion tests, and sample property records before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Tranio employs dynamic loading and regional formatting. Here is how we maintain stable extraction.
Tranio property grids rely on JavaScript-driven infinite scroll. Our Playwright integration executes the necessary scroll events and network request interceptions to capture the complete catalogue without missing items.
Listings display in local currencies, EUR, or USD depending on session headers. We force consistent regional headers and extract both the base currency and the platform's converted values to ensure accurate yield calculations.
We target the English locale explicitly to ensure property types, amenities, and status flags map cleanly to your database schema, avoiding mixed-language string values.
For global catalogues, we maintain a hash index of last-seen values per property. Subsequent runs only push price changes or status updates, reducing downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing yield data, and coverage drops. SLA uptime is contractual.
Quantitative funds analyse property prices across European and Asian markets to identify undervalued regions.
Real estate trusts compare gross yields and cap rates across different asset classes and countries.
Family offices track Golden Visa and citizenship-by-investment property thresholds to advise high-net-worth clients.
Global property portals ingest Tranio listings to enrich their own international catalogues.
Analysts track inventory volume and price-per-square-metre trends over time to predict market movements.
International brokerages monitor Tranio's exclusive listings and off-plan developer partnerships.
"Tranio represents one of the most comprehensive datasets for cross-border real estate investment and yield benchmarking globally."
Extracting international property data requires handling dozens of currencies, infinite scroll pagination, and complex commercial lease structures. DataFlirt absorbs that complexity so your quantitative analysts can focus on yield modelling - not the extraction infrastructure.
Everything supported by our tranio.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 deduplication. Playwright manages JavaScript rendering and infinite scroll pagination.
We maintain pools of residential ISP proxies across EU regions. Rotation happens per-request to prevent IP blocks.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About tranio.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available real estate listings is generally permissible under applicable law. DataFlirt targets only public, non-authenticated property and pricing data. We do not extract personal user data or circumvent authentication walls. Clients should review Tranio's ToS and consult legal counsel for specific use cases.
Tranio displays prices based on user locale or explicit selection. We enforce a consistent locale header during extraction and capture both the primary listing currency and the platform's EUR/USD equivalents to ensure data integrity.
No. Tranio deliberately masks exact street numbers and coordinates to protect seller privacy and broker commissions. We extract the most granular location data available on the public listing, typically down to the district or neighbourhood level.
Full catalogue refreshes at daily or weekly cadences complete within a 4-8 hour window depending on target country volume. Change-detection pipelines ensure you only process updated listings.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record per property ID for price adjustments and status changes from the date your pipeline starts.
Our smallest packages start at a defined country or region list (typically 5,000-20,000 listings) with weekly delivery. For global catalogues, 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 global property dump or continuous yield monitoring across 50 countries - we scope, build, and operate the pipeline. Tell us what you need.
