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Real Estate Case Study

Real Estate Data Pipeline for Property Investment

A property investment startup needed comprehensive market data to identify opportunities faster than competitors and make data-driven investment decisions.

PropTech Startup
5 weeks project

50,000+

Listings/day

Scraped and processed

Real-time

Alerts

For new opportunities

95%

Market coverage

Across target regions

3x

Deal flow

Increase in qualified leads

The Challenge

The client was a property investment startup competing against established players with access to expensive commercial data platforms. Their manual approach wasn’t scaling:

  • Manually checking listing sites multiple times per day
  • No systematic way to compare prices across suburbs
  • Missing new listings because they weren’t checking frequently enough
  • Spreadsheet-based analysis that couldn’t handle volume

They needed a competitive edge: faster access to market data and better analytical capabilities than their larger, better-funded competitors.

The Solution

We built a comprehensive real estate data pipeline:

1. Automated Listing Scraper

A resilient scraping system that monitors realestate.com.au and domain.com.au continuously. The system handles anti-bot measures, extracts detailed property information (price, features, location, agent details), and processes 50,000+ listings daily. New listings trigger immediate alerts to the team.

2. Market Intelligence Dashboard

A custom Plotly/Dash dashboard that transforms raw data into actionable insights:

  • Suburb-by-suburb price trends and comparisons
  • Days-on-market analysis to identify motivated sellers
  • Price-per-square-meter benchmarking
  • Historical price tracking for any property

3. Opportunity Alerts

An intelligent alerting system that identifies high-potential opportunities based on custom criteria:

  • Underpriced listings relative to suburb averages
  • Properties with price reductions
  • New listings matching investment criteria
  • Motivated seller indicators (days on market, price drops)

The Results

Within 5 weeks of deployment:

  • 50,000+ listings scraped and analyzed daily
  • Real-time alerts for matching opportunities
  • 95% coverage of target market regions
  • 3x increase in qualified deal flow

The startup now operates with market visibility that matches or exceeds their better-funded competitors, identifying opportunities within minutes of listing rather than days.

"We went from missing opportunities to being first to act. The data pipeline gives us visibility that larger competitors with expensive tools don't have."
F

Founder

PropTech Startup

Tech Stack

Python Playwright PostgreSQL Plotly/Dash Redis Celery

Services Provided

Web Scraping Data Pipeline Development Dashboard Development Real-time Alerting

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