We extract residential and commercial listings, pricing histories, expensas data, and broker details from Zonaprop. 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 zonaprop.com.ar. All fields typed and schema-versioned.
"property_id": "51092834", "operation_type": "Venta", "property_type": "Departamento", "price": 125000, "currency": "USD", "expensas": 45000, "expensas_currency": "ARS", "total_area_m2": 65
| # | property_id | title | operation_type | property_type | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Location Data objects from zonaprop.com.ar. All fields typed and schema-versioned.
"property_id": "51092834", "neighborhood": "Palermo", "city": "Capital Federal", "province": "Buenos Aires", "latitude": -34.588, "longitude": -58.431, "near_subway": true
| # | property_id | province | city | neighborhood | street_name | street_number |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Amenities & Features objects from zonaprop.com.ar. All fields typed and schema-versioned.
"property_id": "51092834", "age_years": 10, "has_balcony": true, "has_security": true, "has_pool": false, "pet_friendly": true, "professional_use": false
| # | property_id | age_years | orientation | condition | has_pool | has_gym |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Broker Data objects from zonaprop.com.ar. All fields typed and schema-versioned.
"publisher_type": "Inmobiliaria", "agency_name": "Lepa Propiedades", "agency_id": "8492", "agent_name": "Carlos Lepa", "active_listings_count": 142, "super_destacado_status": true
| # | property_id | publisher_type | agency_name | agency_id | agency_url | agent_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Market Analytics objects from zonaprop.com.ar. All fields typed and schema-versioned.
"property_id": "51092834", "days_on_market": 42, "original_price": 130000, "price_drop_pct": 3.8, "publication_date": "2023-09-15", "last_updated": "2023-10-20"
| # | property_id | days_on_market | original_price | price_drop_pct | publication_date | last_updated |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Zonaprop pipeline extracts listing details, dynamic pricing in multiple currencies, spatial data, and broker metadata. We handle the complex anti-bot layers and dynamic map rendering automatically.
Extract property types, operation types, covered vs total area, room counts, and full textual descriptions across all Argentine regions.
Capture sale prices in USD, rental prices in ARS, and expensas separately. Track historical price adjustments in an inflationary market.
Extract exact latitude and longitude coordinates, neighbourhood classifications, and street-level data for precise mapping.
Structure unstructured amenity data: pools, security, balconies, building age, and professional use permissions.
Identify Dueño Directo vs agency listings. Track agency portfolio sizes, contact numbers, and premium listing status.
Monitor properties over time to detect price reductions, days on market, and delisting events.
Render JavaScript to extract obfuscated WhatsApp numbers and direct contact details where publicly available.
Run continuous pipelines that only push new listings, price changes, or status updates to reduce warehouse compute costs.
Execute custom polygon searches to extract listings from highly specific micro-neighbourhoods or development zones.
Brief in. Clean data out.
Provide target neighbourhoods, property types, or agency IDs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and anti-bot circumvention for zonaprop.com.ar.
Schema validation, coordinate accuracy checks, and currency parsing verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Real estate portals use aggressive bot protection to prevent data harvesting. We maintain the infrastructure so you receive clean data without interruption.
Zonaprop employs strict anti-scraping firewalls. We utilise Argentine residential proxies and TLS fingerprint spoofing to maintain high success rates without triggering blocks.
Listing coordinates, contact numbers, and image galleries load asynchronously via JavaScript. Our Playwright nodes execute full page rendering to capture data invisible to standard HTTP clients.
Argentine real estate mixes USD for sales and ARS for rentals and expensas. We extract the raw currency strings and normalise them into structured fields for immediate analytical use.
Zonaprop caps search results at a fixed number of pages. We algorithmically subdivide large geographical areas and price brackets to ensure 100% extraction coverage.
The same property is often listed by multiple agencies. We extract internal IDs and location metadata to help your downstream systems deduplicate inventory accurately.
Automated Valuation Models require massive historical datasets of asking prices, expensas, and property features to train machine learning algorithms.
Institutional investors track yield compressions by comparing rental prices (ARS) against sale prices (USD) across specific Buenos Aires neighbourhoods.
Real estate agencies monitor competitor portfolios, track their days on market, and identify newly listed properties for potential co-brokering.
Consultancies analyse spatial distribution of new developments and price per square metre variations across municipal zones.
B2B service providers extract Dueño Directo listings to offer moving services, insurance, or direct property acquisition.
Economists use real estate pricing and expensas inflation as high-frequency indicators for Argentine economic health.
"Zonaprop holds the definitive record of Argentine real estate, but accessing that data consistently requires navigating complex bot protection and volatile currency representations."
Extracting data from Zonaprop at scale requires more than basic HTTP requests. The platform relies heavily on JavaScript for core data points and employs robust anti-scraping measures. DataFlirt manages the residential proxies, browser rendering, and schema maintenance so your analysts can focus on market trends rather than broken pipelines.
Everything supported by our zonaprop.com.ar 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 for lazy-loaded property coordinates and contact details.
Integration with CapSolver and Argentine residential proxy pools ensures continuous access despite strict Cloudflare and Datadome security layers.
Pipelines run on Kubernetes clusters. Airflow manages scheduling and dependency graphs. All state is stored in managed PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About zonaprop.com.ar scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available real estate listings is generally permissible under standard web scraping legal frameworks, provided it targets public data and does not breach authenticated areas. DataFlirt extracts only public listing data. Clients should review Navent's terms of service and consult legal counsel for specific commercial use cases.
Zonaprop restricts search pagination. We bypass this by algorithmically subdividing searches using tight geographical polygons and narrow price brackets, ensuring every single listing in a city is captured.
Yes. We extract the base property price and the expensas (building maintenance fees) as separate data points, capturing their respective currencies.
Yes. While Zonaprop sometimes obscures exact street numbers, we extract the precise latitude and longitude coordinates embedded in the map rendering payload via Playwright.
We support daily sweeps of major markets like Buenos Aires or Cordoba. For specific agency monitoring or highly targeted neighbourhoods, we can configure sub-hourly pipelines.
Yes. We execute the necessary JavaScript triggers to reveal obfuscated WhatsApp and phone numbers on public listings, allowing for direct lead generation workflows.
We begin tracking price histories from the moment your pipeline is commissioned. We store daily snapshots, allowing you to calculate days on market and track price reductions over time.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily sweep of Buenos Aires apartments or a complete national catalogue extraction — we scope, build, and operate the pipeline. Tell us what you need.
