Industry: real estate
Client: Martin novosel
location: australia
industry Real estate
Proposal:
AI Agent
Implementation
High-Level Property Investment Search & Analysis Tool
Project Summary
This project develops an AI-powered automation system for realestate.com.au that streamlines property investment analysis for real estate development consultants. The system combines advanced web scraping with intelligent filtering to evaluate subdivision potential through local planning policies, assess proximity to urban centers and airports, and generate AI-driven investment recommendations. Capable of delivering 100 qualified property analyses per week, this tool transforms manual property research into an automated, data-driven process that identifies high-potential investment opportunities efficiently.
The Client
Real estate development consultant investigating AI agent capabilities for sophisticated property data analysis, utilizing advanced web scraping and automated filtering systems for strategic investment identification.
The Client
Real estate development consultant investigating AI agent capabilities for sophisticated property data analysis, utilizing advanced web scraping and automated filtering systems for strategic investment identification.
Key Objectives
Automate property searches on realestate.com.au with advanced filtering
Analyze subdivision potential using local planning policies
Filter properties by proximity to urban centers and airports
Provide AI-driven investment analysis and recommendations
Deliver up to 100 qualified property analyses per week
Make.com
Primary Automation Platform
Make.com Premium Plan
Plan: Pro Plan ($16 USD/month)
Capacity: 10,000 operations/month with upgrade flexibility
Key Features: Custom variables, execution log search, operations flexibility
Google Sheets
Integration Architecture
Input: Make.com workflow triggers
Processing: Multi-API data aggregation and AI analysis
Output: Google Sheets with structured investment data
Monitoring: Real-time operation tracking and error handling
Anthropic LLM
AI Analysis Engine
Claude 3.5 Sonnet API
Pricing: $3 input / $15 output per million tokens
Monthly Budget: $50-100 for 100 searches/week
Rationale: Optimal balance of cost and analytical capability
Alternative: Claude 3.5 Haiku for cost optimization if needed
Property Data Collection
Primary Source: Apify Real Estate Scraper
Target Platform: realestate.com.au
Monthly Cost: $20-50 depending on volume
Data Retrieved: Property details, pricing, location, land size, features
Integration Method: Direct webhook to Make.com
Geographic Intelligence
Australian Bureau of Statistics APIs (Free)
Urban center population data (50,000+ requirement)
Geographic boundary information
Statistical area classifications
Google Maps Distance Matrix API
Drive time calculations to urban centers
Route optimization and accessibility analysis
Monthly Cost: $20-40 for projected volume
Planning & Zoning Data
Planning zones and overlays
Landchecker API (Premium)
Subdivision minimum lot sizes
Property dimensions and frontage data
Development application history
Monthly Cost: TBC (custom pricing required)
Airservices Australia Data (Free)
Airport locations with commercial flights
Virgin, Jetstar, Qantas route information
Flight frequency and accessibility data
Additional Data Sources
Local council APIs where available
Planning policy documents
Development application databases
Infrastructure project information
Local council APIs where available
Planning policy documents
Development application databases
Infrastructure project information
Workflow
FAQ
Do you have more questions? We have prepared some answers for you. But if you need more, just Book a call or mail us hey@sanny.ai
How long will this project take to complete?
How long will this project take to complete?
How many property analyses can the system handle?
How many property analyses can the system handle?
What makes this different from manual property research?
What makes this different from manual property research?
What happens if realestate.com.au changes their website?
What happens if realestate.com.au changes their website?
Is the planning policy analysis accurate?
Is the planning policy analysis accurate?
Got more questions?
Contact me to book a call and discuss your project timeline and staging in more detail.
Industry: real estate
Client: Martin novosel
location: australia
industry Real estate
Proposal:
AI Agent
High-Level Property Investment
Search & Analysis Tool
Project Summary
This project develops an AI-powered automation system for realestate.com.au that streamlines property investment analysis for real estate development consultants. The system combines advanced web scraping with intelligent filtering to evaluate subdivision potential through local planning policies, assess proximity to urban centers and airports, and generate AI-driven investment recommendations. Capable of delivering 100 qualified property analyses per week, this tool transforms manual property research into an automated, data-driven process that identifies high-potential investment opportunities efficiently.
The Client
Real estate development consultant investigating AI agent capabilities for sophisticated property data analysis, utilizing advanced web scraping and automated filtering systems for strategic investment identification.
Key Objectives
Automate property searches on realestate.com.au with advanced filtering
Analyze subdivision potential using local planning policies
Filter properties by proximity to urban centers and airports
Provide AI-driven investment analysis and recommendations
Deliver up to 100 qualified property analyses per week
Make.com
Primary Automation Platform
Make.com Premium Plan
Plan: Pro Plan ($16 USD/month)
Capacity: 10,000 operations/month with upgrade flexibility
Key Features: Custom variables, execution log search, operations flexibility
Google Sheets
Integration Architecture
Input: Make.com workflow triggers
Processing: Multi-API data aggregation and AI analysis
Output: Google Sheets with structured investment data
Monitoring: Real-time operation tracking and error handling
Anthropic LLM
AI Analysis Engine
Claude 3.5 Sonnet API
Pricing: $3 input / $15 output per million tokens
Monthly Budget: $50-100 for 100 searches/week
Rationale: Optimal balance of cost and analytical capability
Alternative: Claude 3.5 Haiku for cost optimization if needed
Property Data Collection
Primary Source: Apify Real Estate Scraper
Target Platform: realestate.com.au
Monthly Cost: $20-50 depending on volume
Data Retrieved: Property details, pricing, location, land size, features
Integration Method: Direct webhook to Make.com
Geographic Intelligence
Australian Bureau of Statistics APIs (Free)
Urban center population data (50,000+ requirement)
Geographic boundary information
Statistical area classifications
Google Maps Distance Matrix API
Drive time calculations to urban centers
Route optimization and accessibility analysis
Monthly Cost: $20-40 for projected volume
Planning & Zoning Data
Planning zones and overlays
Landchecker API (Premium)
Subdivision minimum lot sizes
Property dimensions and frontage data
Development application history
Monthly Cost: TBC (custom pricing required)
Airservices Australia Data (Free)
Airport locations with commercial flights
Virgin, Jetstar, Qantas route information
Flight frequency and accessibility data
Additional Data Sources
Local council APIs where available
Planning policy documents
Development application databases
Infrastructure project information
Workflow
FAQ
Do you have more questions? We have prepared some answers for you. But if you need more, just Book a call or mail us hey@sanny.ai
How long will this project take to complete?
How many property analyses can the system handle?
What makes this different from manual property research?
What happens if realestate.com.au changes their website?
Is the planning policy analysis accurate?
Got more questions?
Contact me to book a call and discuss your project timeline and staging in more detail.
or mail me at