A professional real estate data extraction system designed to generate qualified property leads, extract contact details, and deliver deep market analysis for Argentina’s property sector. This project helps agencies, investors, and analysts turn raw listings into actionable intelligence with high data accuracy.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for real-estate-lead-generator-market-analysis-zonaprop you've just found your team — Let’s Chat. 👆👆
This project collects structured real estate data from property listings and transforms it into sales-ready leads and market insights. It solves the challenge of manually tracking listings, prices, and contacts across large property markets. It is built for real estate agencies, brokers, investors, analysts, and automation teams.
- Generates high-quality property leads with rich structured fields
- Supports multiple operation modes for URLs, single properties, and contact extraction
- Optimized for Argentine real estate formats and locations
- Designed for scalable analysis and automation workflows
| Feature | Description |
|---|---|
| Multi-mode operation | Supports URL discovery, single property scraping, and premium contact extraction. |
| Lead generation | Extracts structured leads ready for CRM or sales automation. |
| Contact extraction | Collects phone, WhatsApp, and seller email with high accuracy. |
| Market analysis | Enables price, feature, and location-based comparisons. |
| Location intelligence | Works with provinces, cities, neighborhoods, and custom locations. |
| Anti-detection ready | Built for stable, high-volume extraction workflows. |
| Field Name | Field Description |
|---|---|
| titulo | Property title as listed. |
| precio | Property price in local currency. |
| moneda | Currency code (ARS or USD). |
| direccion | Full property address. |
| barrio | Neighborhood or zone. |
| ciudad | City name. |
| ambientes | Number of rooms. |
| dormitorios | Number of bedrooms. |
| banos | Number of bathrooms. |
| m2_tot | Total square meters. |
| m2_cub | Covered square meters. |
| expensas | Monthly maintenance costs. |
| antiguedad | Property age. |
| cochera | Garage availability. |
| telefono | Seller phone number. |
| Seller WhatsApp contact. | |
| vendedor_email | Seller email address. |
| vendedor_tipo | Agency or private seller. |
[
{
"titulo": "Departamento 2 ambientes",
"precio": 180000,
"moneda": "ARS",
"direccion": "Av. Santa Fe 3500",
"barrio": "Palermo",
"ciudad": "Buenos Aires",
"ambientes": 2,
"dormitorios": 1,
"banos": 1,
"m2_tot": 45,
"telefono": "+54 11 1234-5678",
"whatsapp": "+54 11 1234-5678",
"vendedor_email": "contact@example.com",
"vendedor_tipo": "inmobiliaria"
}
]
real-estate-lead-generator-market-analysis-zonaprop/
├── src/
│ ├── main.py
│ ├── modes/
│ │ ├── scrape_urls.py
│ │ ├── scrape_single.py
│ │ └── extract_contact.py
│ ├── parsers/
│ │ ├── property_parser.py
│ │ └── contact_parser.py
│ ├── locations/
│ │ ├── provinces.json
│ │ ├── cities.json
│ │ └── localities.json
│ └── config/
│ └── settings.example.json
├── data/
│ ├── samples/
│ │ └── sample_output.json
│ └── inputs/
│ └── example_input.json
├── requirements.txt
└── README.md
- Real estate agencies use it to generate qualified leads, so they can accelerate sales outreach.
- Market analysts use it to compare prices by neighborhood, so they can identify trends.
- Investors use it to evaluate opportunities, so they can optimize ROI decisions.
- Automation teams use it to feed CRMs, so they can build fully automated workflows.
- Developers use it to structure property datasets, so they can power analytics dashboards.
Does this tool support all regions in Argentina? Yes, it supports provinces, major cities, neighborhoods, and custom locations using standardized identifiers.
Can I extract contact information for every property? Contact details are available in the premium contact extraction mode for individual property URLs.
Is it suitable for large-scale data collection? Yes, the system is designed for high-volume operations with stable performance when properly configured.
Can the data be used for commercial purposes? Yes, the project is designed for professional and commercial real estate use cases.
Primary Metric: Processes up to 50–70 property listings per minute in standard extraction mode.
Reliability Metric: Maintains an average success rate above 95% on valid property URLs.
Efficiency Metric: Optimized single-URL processing minimizes redundant requests and resource usage.
Quality Metric: Delivers over 33 structured data points per property with high field completeness.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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