We extract international property listings, agency portfolios, pricing trends, and market metadata from Properstar. 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 properstar.com. All fields typed and schema-versioned.
"property_id": "PRP-839201", "title": "Modern Villa in Marbella", "property_type": "Villa", "listing_type": "Buy", "price": 1250000.0, "currency": "EUR", "bedrooms": 4, "bathrooms": 3, "surface_area_sqm": 240
| # | property_id | title | property_type | listing_type | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Valuation objects from properstar.com. All fields typed and schema-versioned.
"property_id": "PRP-839201", "current_price": 1250000.0, "original_price": 1350000.0, "currency": "EUR", "price_per_sqm": 5208.33, "price_reduced": true, "reduction_pct": 7.4, "price_timestamp": "2026-05-12T09:14:00Z"
| # | property_id | current_price | original_price | currency | price_per_sqm | price_reduced |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Agency & Agents objects from properstar.com. All fields typed and schema-versioned.
"agency_id": "AGC-4921", "agency_name": "Marbella Luxury Real Estate", "agent_name": "Carlos Ruiz", "phone_number": "+34 600 123 456", "active_listings_count": 45, "languages_spoken": "['Spanish', 'English', 'German']", "verified_badge": true
| # | agency_id | agency_name | agent_name | phone_number | office_address | |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location & Geography objects from properstar.com. All fields typed and schema-versioned.
"property_id": "PRP-839201", "country": "Spain", "region": "Andalusia", "city": "Marbella", "postal_code": "29601", "latitude": 36.5101, "longitude": -4.8824, "distance_to_center_km": 2.5
| # | property_id | country | region | city | postal_code | street_address |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Amenities & Features objects from properstar.com. All fields typed and schema-versioned.
"property_id": "PRP-839201", "year_built": 2018, "parking_spaces": 2, "has_pool": true, "has_balcony": true, "heating_type": "Underfloor", "energy_rating": "A", "condition": "Excellent"
| # | property_id | year_built | parking_spaces | has_pool | has_balcony | has_elevator |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Properstar scraper handles every layer of the platform: property listings, dynamic pricing, agent directories, and location metadata, with JavaScript rendering, session management, and anti-bot circumvention built in.
Title, descriptions, surface area, rooms, and every metadata field Properstar surfaces, scraped across 50+ countries.
Capture local and display currencies, tracking price reductions and original listing prices accurately.
Extract agency names, agent contact details, office locations, and active portfolio sizes for B2B intelligence.
Extract latitude, longitude, postal codes, and regional hierarchies to map properties exactly.
Structured extraction of unstructured features like pools, parking, energy ratings, and building condition.
Monitor price reductions, delistings, and days on market to gauge local real estate demand.
Capture high-resolution image URLs, floorplans, and virtual tour links for property visual analysis.
Separate extraction logic for off-plan projects, capturing project phases and unit availability.
Run one-off bulk exports or configure continuous pipelines at daily or weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide target countries, cities, property types, or agency URLs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for properstar.com.
Schema validation, null-rate checks, price-outlier detection, and sample listings before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Global real estate portals use heavy bot mitigation and complex DOM structures for different regions. Here is how we maintain pipeline stability.
Real estate portals block aggressive scraping. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management, trained on real user behaviour patterns.
Properstar adjusts layouts based on the target country. Our selector strategy uses multiple fallback chains per field, so a layout change in the Spanish market does not break your data pipeline for the French market.
Parsing prices requires handling different decimal separators and currency symbols. We extract raw strings and normalise them into structured numeric fields and ISO currency codes.
For large global catalogues, we maintain a hash index of last-seen values per listing. Subsequent runs only push diffs, reducing compute cost, storage bloat, and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops, and respond before you notice.
Researchers track cross-border real estate trends, inventory levels, and pricing variations across international markets.
Data science teams feed machine learning models with pricing, location, and amenity data to build automated valuation models.
Real estate brokerages monitor competitor portfolios, agent counts, and market share in specific regions.
Institutional investors identify high-yield rental markets and track price reductions to spot acquisition opportunities.
Corporate mobility platforms aggregate global listings to help expatriates find housing in new countries.
B2B service providers extract agency and agent contact data to sell marketing, software, and financial services.
"Properstar aggregates millions of listings across 50 countries, but standardising that multi-lingual, multi-currency data requires dedicated infrastructure."
Building a reliable real estate scraper means handling localized DOM structures, complex pagination, and strict rate limits. DataFlirt manages the proxies, parsing logic, and validation schemas so your team receives clean, queryable property records ready for immediate analysis.
Everything supported by our properstar.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across global regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About properstar.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from real estate portals is generally permissible under applicable law. DataFlirt targets only public, non-authenticated property, pricing, and agency data. We do not extract personal user data or circumvent authentication walls. Clients should review portal terms of service and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains so DOM changes do not break the pipeline.
We support data extraction across all countries listed on Properstar, standardising the fields into a single global schema regardless of the source language or currency.
Real-time streaming pipelines achieve sub-60-minute latency for specific target locations. Full country catalogue refreshes at daily or weekly cadences complete within a defined window depending on market size.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series record per property for price changes and availability from the date your pipeline starts.
Our smallest packages start at a defined geographic scope with weekly delivery. For larger global catalogues or custom schema requirements, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
Absolutely. We provide a sample run of up to 500 properties as part of the pre-engagement scoping process, so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off global market dump or continuous price monitoring across millions of listings, we scope, build, and operate the pipeline. Tell us what you need.
