PropertyScan AI Scraper is a powerful tool for collecting up-to-date real estate listings from multiple platforms in a single workflow. It helps professionals gather structured property data efficiently, enabling smarter decisions in research, investment, and market analysis.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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PropertyScan AI Scraper extracts structured real estate listing data based on customizable search criteria such as location, price, and property type. It solves the challenge of fragmented property data spread across multiple platforms by consolidating it into a clean, unified dataset. This project is built for analysts, investors, real estate professionals, and developers who need reliable property intelligence at scale.
- Aggregates listings from multiple real estate platforms in one run
- Applies smart filtering by location, price range, and property attributes
- Produces clean, analysis-ready datasets in structured formats
- Designed for repeatable market monitoring and trend analysis
| Feature | Description |
|---|---|
| Multi-source collection | Gathers listings from multiple real estate platforms simultaneously. |
| AI-enhanced structuring | Normalizes and cleans extracted data for consistency. |
| Advanced filtering | Supports location, price, date range, and property-type filters. |
| Structured output | Delivers clean JSON or CSV data ready for analytics. |
| Scalable execution | Handles small queries and large regional scans efficiently. |
| Field Name | Field Description |
|---|---|
| title | The headline or name of the property listing. |
| location | Address or geographic area of the property. |
| description | Short summary of key property features. |
| operation | Indicates whether the listing is for sale or rent. |
| property_type | Category such as apartment, house, or studio. |
| price | Numeric value of sale price or rental cost. |
| bedrooms | Total number of bedrooms. |
| bathrooms | Total number of bathrooms. |
| square_feet | Property size measured in square feet. |
| publish_date | Date when the listing was published. |
[
{
"title": "Modern 2 Bedroom Apartment",
"location": "Downtown Austin, TX",
"description": "Spacious apartment with balcony and city views",
"operation": "Rent",
"property_type": "Apartment",
"price": 2400,
"bedrooms": 2,
"bathrooms": 2,
"square_feet": 1100,
"publish_date": "2025-01-12"
}
]
PropertyScan AI/
├── src/
│ ├── main.py
│ ├── crawler/
│ │ ├── listing_collector.py
│ │ └── navigation.py
│ ├── processors/
│ │ ├── ai_cleaner.py
│ │ └── normalizer.py
│ ├── exporters/
│ │ ├── json_exporter.py
│ │ └── csv_exporter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── samples/
│ │ └── output.sample.json
│ └── inputs.sample.json
├── requirements.txt
└── README.md
- Real estate investors use it to track new listings across regions, so they can identify undervalued opportunities early.
- Market analysts use it to collect pricing data, enabling accurate trend and demand analysis.
- Property agencies use it to monitor competitor listings, helping them stay competitive.
- Data teams use it to feed property datasets into dashboards and valuation models.
Does this scraper support multiple locations in one run? Yes, multiple locations can be defined, allowing regional or multi-city data collection in a single execution.
Can results be limited to recent listings only? Yes, a configurable date range allows retrieval of listings published within a specific timeframe.
Is the output suitable for analytics tools? The output is fully structured and normalized, making it easy to import into BI tools, spreadsheets, or databases.
What property categories are supported? Common categories such as apartments, houses, studios, and townhouses are supported and can be extended.
Primary Metric: Processes several hundred listings per minute under standard network conditions.
Reliability Metric: Consistently achieves high success rates with stable extraction across supported platforms.
Efficiency Metric: Optimized navigation and filtering reduce unnecessary page loads and processing time.
Quality Metric: Delivers high data completeness with consistent field coverage across listings.
"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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