Dashboard Overview
Real-time insights into your AI-powered real estate pricing and data scraping service
⏱️ Last Scraping Run Status
CompletedTarget: RealEstate.com • Started: 2026-02-08 14:23:15 • Duration: 4m 32s
Scraped: 1,247 listings • Failed: 3 • Success Rate: 99.76%
📜 Recent Activity
Pricing Service Overview
AI-powered real estate pricing using hybrid data sources
📖 Service Description
Our AI Real Estate Pricing Service combines internal ERP data with market intelligence scraped from leading real estate websites to provide accurate, data-driven property valuations. The service uses machine learning algorithms trained on thousands of comparable listings to estimate property prices with high confidence.
- Hybrid data sources (internal ERP + scraped market data)
- Real-time pricing estimates via REST API
- Token-based authentication for secure access
- Configurable weight parameters for pricing factors
- Detailed pricing rationale with comparable listings
📊 Data Sources
🏢 Internal ERP Data
- Property specifications
- Historical transaction data
- Owner and tenant information
- Maintenance records
🌐 Scraped Market Data
- RealEstate.com (15,392 listings)
- PropertyHub.com (8,741 listings)
- HomeMarket.net (6,203 listings)
- UrbanLiving.io (4,856 listings)
🔌 API Access
⚠️ Keep your API token secure. Do not share it publicly or commit it to version control.
Website Scraping Configuration
Visual builder for defining data extraction rules without code
🌐 Target Website Setup
🛠️ Scraped Field Builder
🎯 HTML Component Selector
Click on elements in the simulated preview below to assign them to data fields. This helps visually identify which HTML components contain the data you need.
💡 Tip: Selected elements (highlighted in green) are mapped to scraped fields. Click to select/deselect.
Scraping Result Preview
Verify scraped data quality before using it for training
📋 Live Preview Panel
Sample Row: Listing #1247
Sample Row: Listing #1247 (Normalized)
✓ All fields successfully normalized and ready for training
Validation Results: Last 100 Rows
3 rows have validation errors. Review your CSS selectors or exclude invalid rows before training.
📊 Sample Scraped Listings
| ID | Price | Area (m²) | District | Bedrooms | Date | Status |
|---|---|---|---|---|---|---|
| #1247 | $425,000 | 120 | Downtown | 3 | 2026-02-06 | Valid |
| #1246 | $380,000 | 95 | Midtown | 2 | 2026-02-06 | Valid |
| #1245 | — | 140 | Suburbs | 4 | 2026-02-05 | Missing Price |
| #1244 | $510,000 | N/A | Waterfront | 3 | 2026-02-05 | Invalid Area |
| #1243 | $295,000 | 85 | East Side | 2 | 2026-02-04 | Valid |
Training Dataset Configuration
Map scraped fields to model inputs and prepare training data
🔄 Field Mapping
Map scraped fields to model input features. Fields marked as "Target" will be used as the prediction label.
| Scraped Field | Model Input Feature | Data Type | Role | Include |
|---|---|---|---|---|
| 💰 Price | Currency | Target Label | ||
| 📐 Area (sq m) | Number | Feature | ||
| 📍 District | Text | Feature | ||
| 🛏️ Bedrooms | Number | Feature | ||
| 📅 Listing Date | Date | Metadata | ||
| 🔗 Listing URL | URL | Reference |
🔍 Data Quality Filters
⚠️ At least 1,000 valid rows recommended for reliable training
📊 Dataset Summary
Pricing Configuration & Rules
Fine-tune pricing algorithm parameters and data source weights
⚖️ Feature Weight Configuration
Adjust the relative importance of each factor in the pricing algorithm. Higher weights mean stronger influence on the final price estimate.
🗂️ Data Source Configuration
When enabled, pricing estimates will incorporate market data from configured scraping sources
🔧 Advanced Settings
Pricing Result Preview
View detailed pricing estimates with confidence scores and rationale
🏠 Single Property Pricing
📊 Estimated Price
High ConfidenceBased on 247 comparable listings and 5 years of historical data
The estimated price of $425,000 is based on comprehensive analysis of comparable properties in the Downtown district with similar characteristics.
Key factors:
- Area (120 m²): Similar properties (115-125 m²) in Downtown are priced at $3,480/m² on average
- Location: Downtown premium adds approximately 15% compared to suburban areas
- Property Age (5 years): Well-maintained recent construction commands 8% premium over 10+ year properties
- Market Comparables: 247 recent listings (last 90 days) show average price of $418K for similar specs
The estimate is 1.7% above market average, reflecting the property's excellent condition and prime location within the district.
🔍 Comparable Listings
| Listing ID | Price | Area (m²) | District | Age | Similarity | Source |
|---|---|---|---|---|---|---|
| #15391 | $428,000 | 122 | Downtown | 4 years | 95% | RealEstate.com |
| #15387 | $419,000 | 118 | Downtown | 6 years | 92% | PropertyHub.com |
| #15382 | $432,000 | 125 | Downtown | 3 years | 90% | HomeMarket.net |
| #15375 | $415,000 | 115 | Downtown | 7 years | 88% | RealEstate.com |
| #15368 | $421,000 | 120 | Downtown | 5 years | 98% | UrbanLiving.io |
Bulk Pricing Simulation
Apply pricing estimates to multiple properties simultaneously
⚙️ Bulk Pricing Configuration
⏳ Bulk Pricing Progress
Completed📊 Pricing Results
| Property ID | District | Area (m²) | Estimated Price | Confidence | Status | Rationale |
|---|---|---|---|---|---|---|
| PROP-2847 | Downtown | 120 | $425,000 | 87% | Success | |
| PROP-2846 | Midtown | 95 | $365,000 | 91% | Success | |
| PROP-2845 | Suburbs | 140 | $328,000 | 72% | Low Conf | |
| PROP-2844 | Waterfront | 180 | — | — | Failed | |
| PROP-2843 | Downtown | 85 | $352,000 | 89% | Success |
API Integration
REST API documentation and sample code for external integrations
🔌 Get Single Price Estimate
/api/v1/pricing/estimate
Request Headers
Request Body
Response (200 OK)
🔌 Bulk Price Estimation
/api/v1/pricing/bulk-estimate