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Project Overview
From property listings to tenant preferences, the internet is home to valuable data. By accessing this information, real estate agencies gain comprehensive market insights. They can spot market opportunities faster, price properties more accurately, and better understand buyer preferences.
However, extracting and organizing this data from multiple platforms requires significant time and resources. Our company partnered with a leading Australian real estate agency to solve this challenge by developing an automated data scraping bot.
The custom-built solution efficiently aggregated real estate data from three platforms: RealEstate.com.au, Domain.com.au, and Property.com.au. This tool automatically extracted various types of data, including property listings, agent details, suburb insights, and pricing trends.
Additionally, it structured all extracted information directly into Google Sheets under proper sub-heads. By continuously updating data, our bot offered the client with a real time view of the real estate market to make strategic decisions on time.
About the Client
In Australia's real estate market, staying ahead means being smart about how you work. The biggest names in property have grown by focusing on new ideas and sustainable buildings, using modern technology to attract both buyers and investors.
Data is what drives success in this competitive field. Having up-to-date information about properties, prices, and market trends helps real estate agencies understand what buyers want and stay competitive.
This is why one of our clients, a real estate agency, came to us for help with web scraping. They wanted to better understand their city's property market by collecting data about listings, prices, what types of homes people prefer, and which neighbourhoods are popular.
With these insights, they could improve their marketing and make sure they're offering the right properties to the right people.
The Challenges
The client wanted to obtain a 360-degree market view by combining property data from multiple real estate platforms.
The issue was each platform had distinct search parameters and data structures which required advanced solutions to merge and clean listings while keeping valuable information from each source. During this process, they encountered several challenges.
Technical Complexity
- Targeted real estate platforms employed sophisticated structures with dynamic, interactive elements that made data extraction harder using simple tools
- Frequent updates in the website structures caused scrapers to break often and demanded constant maintenance
- Scraping excessively led to IP bans or blacklisting from property platforms, damaging relationships with these sites
Data Management Issues
- Identifying and merging duplicate listings across platforms while preserving unique data points in excel was hard manually
- Organizing extracted data into multiple sheets based on varying parameters was complicated because of mismatched formats and fields
- Continuously monitoring and regularly updating data in real-time was time-consuming without advanced scrap setups
These challenges needed a sophisticated solution that could manage complex web structures, automated data extraction, and real-time organization - all while navigating the technical restrictions of multiple platforms.
How Did We Fix This?
Our team developed an automated data scraping bot to help the client with real-time data collection and analysis.
The solution combined web scraping technology with intelligent data processing abilities that made it easy to access listings, prices, and market insights in one place from different sources.
Here's what our team did:
- Employed a Selenium-based automation framework that naturally simulates human browsing patterns
- Implemented enterprise-grade security features, including IP rotation, to ensure reliable and automated data collection
- Built a Python-powered data pipeline for cleaning and structuring extracted information directly into Google sheets
- Developed smart duplicate detection algorithms to consolidate listings across multiple platforms while preserving unique details from each source
- Created a comprehensive Google sheet with dedicated sections to categorize data based on parameters like listing price, active property listings, suburb profile data, and more
Key Features of Our Solution
Relu’s custom-built automated data scraping bot transformed the client’s real estate data extraction through four powerful capabilities
- Automated Web Scraping: Our powerful bot solution efficiently collects essential property data across multiple platforms simultaneously. The solution effortlessly handles dynamic elements and successfully bypasses anti-scraping mechanisms like CAPTCHA, ensuring effective data collection.;
- Data Processing and Transformation: The solution implements a robust ETL process that automatically cleans, merges, and organizes data within Google sheets. There are dedicated tabs in the sheets to track historical pricing trends, offering valuable market insights.
- Hosting and Scheduling: Hosted on AWS infrastructure, the system operates continuously without manual intervention. This cloud-based approach ensures data remains fresh and relevant through automated updates.
- Anti-Detection Measures: The solution employs residential rotating proxies and randomized browsing patterns to avoid IP blocks in data extraction. These strong measures maintain uninterrupted data scraping operations, ensuring consistent data flow.
Results
By partnering with Relu Consultancy, the client transformed their approach to market intelligence. Our custom-built real estate scraper bot delivered immediate, measurable improvements to their operations.
Through our solution, the client eliminated hours of manual data gathering, replacing it with automated, real-time data collection across multiple platforms. The scalable architecture we designed meant they could easily expand their data collection as their needs grew, while our intelligent processing system ensured the information remained accurate and actionable.
The impact was clear - with Relu's automated scraping technology, the client can now:
- Track property listings and price changes in real-time
- Spot neighborhood trends before their competitors
- Make faster, data-driven decisions about their property portfolio
- Adapt quickly to market shifts with reliable, up-to-date information
This strategic advantage helped them move from reactive to proactive market positioning, enabling them to capitalize on emerging real estate opportunities as soon as they arose.
Wrapping Up
The success of this project proved the transformative power to automate form submission. By using tools like Airtable and browser automation, businesses can reduce manual effort, improve accuracy, and scale their operations effortlessly.
If your organization needs a break from inefficient manual form submission, let us help you build a customized solution to automate your workflow.
Partner with Relu Consultancy to transform your business challenges into opportunities. Our team specializes in building custom automated solutions that save time, reduce manual work, and deliver actionable insights.
Whether you need data extraction, processing, or analysis, we'll create a tailored solution that drives your business forward.
