Zonaprop Scraper - Argentina Real Estate Listings & Leads avatar

Zonaprop Scraper - Argentina Real Estate Listings & Leads

Pricing

from $2.00 / 1,000 results

Go to Apify Store
Zonaprop Scraper - Argentina Real Estate Listings & Leads

Zonaprop Scraper - Argentina Real Estate Listings & Leads

Scrape Zonaprop Argentina real estate listings. Extract price (USD/ARS), expenses, surface m2, rooms, bedrooms, bathrooms, address and neighborhood, property type, agency name, WhatsApp/phone contact and photos by search URL. Export JSON, CSV, Excel.

Pricing

from $2.00 / 1,000 results

Rating

0.0

(0)

Developer

Haketa

Haketa

Maintained by Community

Actor stats

0

Bookmarked

5

Total users

2

Monthly active users

11 hours ago

Last modified

Features

Limited permissions

Share

Zonaprop Scraper — Argentina Real Estate Listings, Prices & Agency Leads

The definitive Zonaprop data extractor on Apify. This high-performance Zonaprop scraper extracts real-time property listings from Zonaprop — Argentina's premier real estate marketplace. Seamlessly extract property prices in USD or ARS, monthly maintenance fees (expensas), total and covered surface area ($m^2$), room layouts, bedroom and bathroom counts, full neighborhood addresses, property classifications, listing real estate agencies, direct WhatsApp/phone contact leads, and high-resolution photos.

Export structured property datasets instantly to JSON, CSV, Excel, or API.

Apify Actor


⚡ At a glance

FeatureSpecification
Target PlatformZonaprop Argentina (Navent Group)
Market ScopeBuenos Aires (CABA), GBA (Norte, Oeste, Sur), Córdoba, Rosario, Mendoza & nationwide
Operations SupportedSale (Venta), Rent (Alquiler), Temporary Rent (Alquiler temporal)
Property TypesDepartamentos, Casas, PH, Oficinas, Locales comerciales, Terrenos, Desarrollos
Contact DataReal estate agency name, agency profile URL, agency ID, verified WhatsApp phone
Currency HandlingNative USD and ARS extraction with monthly maintenance fees (expensas)
Pagination & DepthUnlocked 1,000+ listings via multi-search and automated district expansion
Proxy ArchitectureArgentina residential IP rotation configured automatically
Execution Speed~30–45 seconds per 60 listings; ~90 seconds for 250+ properties
Export FormatsClean tabular datasets: JSON, CSV, XLSX, HTML Table, XML, Apify Webhooks

🔎 Why scrape Zonaprop?

Zonaprop (zonaprop.com.ar), operated by Navent and QuintoAndar, is the undisputed leader in Argentina's real estate ecosystem. The portal lists hundreds of thousands of residential and commercial properties across Capital Federal (Palermo, Belgrano, Recoleta, Caballito, Puerto Madero), Greater Buenos Aires, and provincial urban centers. Each listing is packed with actionable market intelligence that real estate investors, hedge funds, proptech startups, and brokers rely on:

  • 💰 Dual Currency Benchmarking: Real estate transactions in Argentina operate in both US Dollars ($USD$) and Argentine Pesos ($ARS$). Tracking live asking prices and fluctuations gives an instant macro pulse of property valuation across inflation cycles.
  • 📞 High-Intent B2B Lead Generation: Over 85% of Zonaprop listings feature direct agency contacts and WhatsApp phone numbers, providing an unmatched database of active real estate brokers and property managers for B2B outreach.
  • 📐 Granular Physical Attributes: Compare asking price-per-square-meter ($/m^2$), room layouts (ambientes), covered versus total surface areas, building age, and parking garage inclusions across micro-neighborhoods.
  • 🏢 Proptech Data Ingestion: Feed proprietary valuation algorithms, automated listing portals, real estate aggregators, and appraisal engines with normalized property feeds.

Manual data collection is tedious, inefficient, and prone to formatting inconsistencies. This automated Zonaprop data extractor transforms complex real estate search pages into clean, analysis-ready tabular data within seconds.


✨ Key features

  • 🏙️ Comprehensive Property Coverage: Scrape any Zonaprop search URL across apartments, family houses, PH units, commercial premises, warehouses, and land developments.
  • 💵 Dual-Currency & Expense Parsing: Extracts both sale/rent prices (priceAmount + priceCurrency in USD or ARS) and monthly building maintenance expenses (expensesAmount + expensesCurrency).
  • 📱 Direct Broker WhatsApp Leads: Extracts the publishing agency (publisherName, publisherId, publisherUrl) and direct WhatsApp contact numbers for targeted marketing and partnership campaigns.
  • 🗺️ Multi-Tier Geographic Normalization: Automatically structures address hierarchies down to street name, neighborhood (barrio), municipality (partido/ciudad), and province.
  • 🔄 Unlocked 1,000+ Deep Pagination: Effortlessly scrape beyond single-search limits. Set maxItems: 1000 or higher; the scraper iterates through search pagination and automatically branches into neighboring districts when broad runs require high volume.
  • ⚡ Lightning Fast Prefill Runs: Lightweight HTTP network pipeline completes standard prefill runs (60 listings) in 30–45 seconds with 0 duplicates.
  • 🛡️ Built-in Session Resilience: Automatic residential proxy rotation ensures seamless data harvesting without manual IP provisioning.
  • 📊 Multi-Format Export Ready: Download your scraped real estate leads and inventory in JSON, CSV, Excel, XML, or connect directly via webhooks.

🎯 Use cases & applications

1. Proptech & Real Estate Portals

Populate local real estate search portals, aggregator platforms, and mobile apps with clean, structured Argentine property inventory. Synchronize price changes, new development releases, and new listings on an automated daily schedule.

2. Broker & Agency B2B Lead Generation

Real estate tech providers, staging services, photographers, mortgage brokers, and insurance providers can extract thousands of agency profiles and WhatsApp phone numbers to scale direct B2B sales pipelines and CRM outreach.

3. Investment Fund & Yield Analysis

Analyze gross rental yields across specific Buenos Aires sub-markets by comparing median sales prices against monthly rental rates in neighborhoods like Palermo Hollywood, Recoleta, Belgrano Chico, and Nuñez.

4. Automated Property Valuation Models (AVM)

Train machine learning regression models on price-per-$m^2$, building age, covered surface ratio, bathroom-to-bedroom ratios, and location coefficients to produce accurate automated home valuations.

5. Competitive Brokerage Intelligence

Monitor which property agencies dominate specific neighborhoods, identify top listing agents, track market share shifts, and analyze exclusive inventory trends across commercial and residential sectors.

6. Appraisers & Real Estate Valuers

Pull comparable sales and rentals (comprables) within a specific geographic radius in seconds. Filter by property type, surface area, and room count to generate defensible appraisal reports for mortgage lenders and buyers.


🧭 How to construct search URLs

Zonaprop URLs follow a predictable, intuitive structure that maps directly to the platform's filtering engine:

  1. Operation + Property Type + Location:
    • https://www.zonaprop.com.ar/departamentos-venta-capital-federal.html
    • https://www.zonaprop.com.ar/departamentos-alquiler-palermo.html
    • https://www.zonaprop.com.ar/casas-venta-zona-norte-gba.html
    • https://www.zonaprop.com.ar/ph-venta-belgrano.html
  2. Applied Filters (Rooms, Price, Features):
    • Perform your search on zonaprop.com.ar using your desired checkboxes (e.g., 2 dormitorios, con cochera, pileta).
    • Copy the resulting URL from your browser address bar.
    • Paste the URL directly into the startUrls array in the actor input.
  3. Multi-URL Campaigns:
    • Provide multiple distinct search URLs across different neighborhoods or operations in a single run.
    • The actor visits each search URL sequentially, extracting properties while automatically filtering out duplicates.

📥 Input parameters

The actor features simple, intuitive configuration options. You can supply targeted search URLs or run an empty input to scrape popular listings by default.

ParameterTypeRequiredDefaultDescription
startUrlsArray of stringsNoCapital Federal Venta URLZonaprop listing or search filter URLs (e.g., https://www.zonaprop.com.ar/departamentos-venta-palermo.html).
maxItemsIntegerNo200Maximum number of listings to collect. Set to 0 for unlimited scraping governed by search depth. Prefill is set to 60 for fast execution.
includeDescriptionBooleanNotrueWhen enabled, scrapes full text descriptions and remarks. Disable for faster, lightweight dataset generation.
proxyConfigurationObjectNoResidential (AR)Proxy settings. Defaults to high-reputation Argentina residential proxies for reliable access.

Example Input (input.json)

{
"startUrls": [
"https://www.zonaprop.com.ar/departamentos-venta-capital-federal.html",
"https://www.zonaprop.com.ar/departamentos-alquiler-palermo.html"
],
"maxItems": 150,
"includeDescription": true,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "AR"
}
}

📤 Output dataset schema

Every collected listing is normalized into a comprehensive JSON object with structured fields and high data coverage:

🏷️ Core listing attributes

FieldTypeCoverageDescription
postingIdstring🟢 HighUnique Zonaprop listing identifier
titlestring🟢 HighClean listing headline
operationTypestring🟢 HighOperation classification (Venta, Alquiler, Alquiler temporal)
propertyTypestring🟢 HighProperty category (Departamento, Casa, PH, Oficina, etc.)
urlstring🟢 HighCanonical listing URL on Zonaprop
scrapedAtstring🟢 HighISO 8601 extraction timestamp

💵 Pricing & financial metrics

FieldTypeCoverageDescription
priceAmountstring🟢 HighNumerical asking price
priceCurrencystring🟢 HighCurrency code normalized to USD or ARS
expensesAmountstring🟡 ConditionalMonthly building maintenance fees (expensas)
expensesCurrencystring🟡 ConditionalCurrency code for monthly expenses

📐 Property specifications & features

FieldTypeCoverageDescription
surfaceTotalstring🟢 HighTotal surface area in square meters ($m^2$)
surfaceCoveredstring🟢 HighCovered/built surface area in square meters ($m^2$)
roomsstring🟢 HighTotal room count (ambientes)
bedroomsstring🟢 HighNumber of private bedrooms (dormitorios)
bathroomsstring🟢 HighNumber of bathrooms (baños)
garagesstring🟡 ConditionalNumber of dedicated parking spots (cocheras)
agestring🟡 ConditionalProperty age in years (antigüedad)

📍 Location details

FieldTypeCoverageDescription
addressstring🟢 HighStreet name and building number
neighborhoodstring🟢 HighNeighborhood name (Barrio e.g., Palermo, Recoleta, Caballito)
citystring🟢 HighCity or municipal partido
provincestring🟢 HighProvince or federal district (Capital Federal, Buenos Aires, etc.)

🏢 Real estate agency & lead information

FieldTypeCoverageDescription
publisherNamestring🟢 HighPublishing real estate agency or broker name
publisherIdstring🟢 HighZonaprop internal agency identifier
publisherUrlstring🟢 HighFull URL to agency's Zonaprop storefront
whatsAppstring🟢 High (~85%)Direct contact telephone / WhatsApp number
imageCountstring🟢 HighTotal number of high-resolution images available
imagesstring🟢 HighPipe-delimited list of high-resolution photo URLs
descriptionstring🟢 HighFull property narrative and agent remarks

📊 Sample output record

{
"postingId": "53412894",
"title": "Excelente Departamento 3 Ambientes Con Balcón En Palermo Hollywood",
"operationType": "Venta",
"propertyType": "Departamento",
"priceAmount": "185000",
"priceCurrency": "USD",
"expensesAmount": "42000",
"expensesCurrency": "ARS",
"surfaceTotal": "72",
"surfaceCovered": "65",
"rooms": "3",
"bedrooms": "2",
"bathrooms": "1",
"garages": "1",
"age": "8",
"address": "Humboldt 1900",
"neighborhood": "Palermo",
"city": "Capital Federal",
"province": "Capital Federal",
"publisherName": "Torres & Asociados Propiedades",
"publisherId": "148291",
"publisherUrl": "https://www.zonaprop.com.ar/inmobiliarias/torres-y-asociados-propiedades.html",
"whatsApp": "+5491145892211",
"imageCount": "14",
"images": "https://imgar.zonapropcdn.com/avisos/1/00/53/41/28/94/1200x1200/1892837162.jpg | https://imgar.zonapropcdn.com/avisos/1/00/53/41/28/94/1200x1200/1892837163.jpg",
"description": "Hermoso semi-piso con orientación este, super luminoso. Gran living comedor con salida a balcón aterrazado...",
"url": "https://www.zonaprop.com.ar/propiedades/clasificado-alclapin-excelente-departamento-3-ambientes-53412894.html",
"scrapedAt": "2026-11-10T12:40:00.000Z"
}

🚀 How to use & integrate

Python Integration via Apify Client

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"startUrls": [
"https://www.zonaprop.com.ar/departamentos-venta-capital-federal.html"
],
"maxItems": 300,
"includeDescription": True
}
run = client.actor("haketa/zonaprop-scraper").call(run_input=run_input)
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(dataset_items)} listings.")

Node.js / JavaScript Integration

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({
token: 'YOUR_APIFY_TOKEN',
});
const run = await client.actor('haketa/zonaprop-scraper').call({
startUrls: ['https://www.zonaprop.com.ar/departamentos-venta-palermo.html'],
maxItems: 500,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Successfully scraped ${items.length} Zonaprop listings.`);

Direct REST API Export

You can fetch results programmatically using Apify's REST endpoint without installing external SDKs:

curl -X GET "https://api.apify.com/v2/datasets/<DATASET_ID>/items?format=csv&clean=true" \
-H "Authorization: Bearer YOUR_APIFY_TOKEN" \
-o zonaprop_listings.csv

⚖️ Comparison: Manual Collection vs. Zonaprop Scraper

FeatureManual Copy-PasteCustom In-House CrawlerZonaprop Scraper (Actor)
Speed1–2 properties / minuteDepends on maintenance60+ properties / 30 seconds
CompletenessProne to human omissionHigh risk of parser drift100% normalized schema
Lead CaptureManual parsing of contactsComplex DOM extractionAutomated WhatsApp & Agency extraction
Proxy & RotationHigh risk of IP bansManual proxy setup & costBuilt-in residential IP rotation
ScalabilityNot scalableHeavy developer upkeepEffortlessly scales to 1,000+ items
Cost EfficiencyExtremely labor intensiveHigh engineering hoursPay-per-usage on demand

🔒 Data Quality & Integrity Assurance

Every listing undergoes rigorous field-level normalization before being emitted to the dataset:

  • Currency Cleanliness: Native symbols (such as $) are resolved to ISO standard codes (ARS or USD) to eliminate confusion with American dollar values.
  • Deduplication Engine: Internal ID caching prevents duplicate entries when paginating through broad or overlapping neighborhood queries.
  • Granular Feature Parsing: Custom numerical parsers break unstructured descriptive strings into clean, integer-based metrics for total surface, covered surface, rooms, bedrooms, and bathrooms.
  • High-Resolution Media: Image links are normalized directly to original CDN assets (1200x1200px) instead of blurry mobile thumbnails.

💡 Best practices for high-volume scraping

  1. Multi-URL Partitioning: For large-scale data extraction across entire metropolitan regions, split queries into targeted sub-searches (e.g., individual neighborhoods such as Palermo, Recoleta, Belgrano, and Caballito). Add each URL to startUrls; the actor aggregates and deduplicates all listings automatically.
  2. Optimizing Run Cost: If you do not require long property narratives or marketing descriptions, uncheck includeDescription. This minimizes network payload sizes and speeds up processing time.
  3. Currency Conversion Post-Processing: Argentine real estate values are frequently quoted in both USD and ARS. Always filter or normalize by priceCurrency before calculating aggregate price-per-square-meter metrics.
  4. Automated Scheduling: Use Apify Schedules to trigger weekly runs to identify newly listed properties and track historical price drops.
  5. Storage & Webhook Pipelines: Connect Apify Integrations to immediately push completed datasets to Amazon S3, Google BigQuery, PostgreSQL, or Zapier when runs finish.

❓ Frequently Asked Questions (FAQ)

How many listings can I scrape in a single run?

There is no hard ceiling. By setting maxItems to 1000 or higher, the scraper extracts across multiple pages and automatically expands into adjoining neighborhoods to reach your desired volume.

Why does the scraper require Argentina residential proxies?

Zonaprop employs strict regional bot mitigation that blocks standard datacenter IPs. The scraper includes pre-configured Argentina residential proxy routing to ensure consistent, reliable HTTP 200 responses.

Can I extract both rental and sale listings in the same run?

Yes. You can supply any combination of Venta and Alquiler URLs in startUrls. Each dataset record explicitly denotes its operation in the operationType field.

Does the scraper extract real estate agent WhatsApp numbers?

Yes. In the majority of listings (~85%), Zonaprop embeds direct WhatsApp phone numbers for broker communication, which this actor extracts directly into the whatsApp column.

What happens if a property listing has multiple currencies?

Argentine properties list prices either in United States Dollars (USD) or Argentine Pesos (ARS). The scraper preserves the original currency and amount without lossy conversions so your downstream pipeline retains source accuracy.

Can I export directly to Google Sheets or Excel?

Yes. From the Apify Console dataset tab, you can instantly export data to CSV, Microsoft Excel (XLSX), or connect an automated webhook to sync directly into Google Sheets, Airtable, or Make.com.

How often can I schedule runs?

You can run the actor as frequently as needed — hourly, daily, or weekly. Because each listing includes a unique postingId, merging multiple runs into a relational database or time-series data store is straightforward.


If you are assembling international property intelligence, check out these companion actors:


📋 Changelog

Version 1.2 (2026-11)

  • Deep Pagination Support: Unlocked high-volume 1,000+ listing extraction with automated geographic neighborhood expansion.
  • Fast Prefill Execution: Tuned prefill parameters to complete standard sample runs in under 45 seconds with 100% data fidelity and 0 duplicates.
  • Enhanced Data Normalization: Improved regex parsing for room counts, bathrooms, garages, and surface metrics across varied publisher formatting conventions.
  • Direct Lead Capture: Reinforced extraction pipelines for agency WhatsApp numbers, broker IDs, and agency profile links.
  • Documentation Overhaul: Added comprehensive SEO keyword mapping, field coverage indicators, and architecture summaries.

Version 1.1 (2026-08)

  • Added structured expenses (expensas) extraction in native ARS/USD currency.
  • Improved multi-level neighborhood, city, and province geographical hierarchy resolution.
  • Expanded photo extraction to return clean high-resolution CDN images.

Version 1.0 (2026-08)

  • Initial production release supporting sales, rentals, and commercial properties across Zonaprop Argentina.