Case study · Real Estate
How do you find the hidden gems as a realtor before anyone else?
Traditional methods were falling short. Here's how a real estate agency with 30+ years of experience started finding the best properties before its competitors, without staff searching the web by hand.
- Competitive Advantage
- Market Intelligence
- Web Scraping
- RPA Development
- Increase in first reach to property owners
- 78%
- Increase in company budget efficiency
- 47%
- Increase in company ARR
- 54%
Overview
The client and the goal
Staying up to date with market trends matters as much as experience in real estate. Our client, an agency with over 30 years of experience, knew this and reached out to us. They needed to stay ahead of their competitors, and they recognized that traditional techniques could no longer find the best deals in the market.
Their options were to assign employees to gather market information manually from various sources, which was costly and slow, or to find a smarter solution. They chose the latter. We built a solution that helped them grow a successful portfolio, stay current with market trends, and monitor their competitors easily.

Key points
Key takeaways.
- The client needed to grow their market share by growing their portfolio.
- A successful portfolio meant finding the best properties before their competitors did.
- Despite 30+ years of experience, traditional property-hunting techniques were falling short in a fast-paced industry.
- epctex’s data extraction and automation increased the client’s revenue, boosted productivity, and drove remarkable growth.
- The client’s skilled team gained a competitive advantage that let them find the best deals first.
Challenges
What stood in the way
Newer competitors were using algorithmic techniques to analyze the market and catch the best deals. Our client was still hunting properties manually, with several employees scouring different websites. It worked, but it was slow.
The main challenge was to bring the organization up to speed with the methods its competitors were using: boosting revenue while freeing the team from manual searching and analysis.

Solution
How we solved it
We built a series of automations tailored to the client's needs, collecting listings from numerous sources and using an algorithmic approach to analyze new properties as they hit the market. Our Smart Notification system filtered that data so the relevant team was only notified when it mattered.
We started by testing our automation on a single property listing source. Once it was polished and refined, we gradually scaled up to 20 sources across the USA. That let the client reach landlords much faster than their competitors and act first.
Everything we build is agile and lean, because client requirements change with new market or macroeconomic developments. Our solutions are robust and reconfigurable: the client can change settings at any time through a simple UI we provide, extending the product into new states or domains.
Working with epctex, the agency increased its efficiency and revenue with a tool that can expand its reach into multiple states and domains, and moved its employees from labor-intensive property searching to sales.
Services used
What powered this project.
Competitive Advantage
Use competitor and market data to win more customers and protect your margins. We automate the data behind your competitive edge.
Market Intelligence
Gather and analyze market data to spot trends, opportunities and threats early. We automate market intelligence so your team can act with confidence.
Web Scraping
Extract data from any website automatically, even behind anti-scraping protection. Pricing, reviews, leads and more, without manual work.
RPA Development
Robotic process automation for repetitive, rules-based work. We build RPA with NLP and AI so your team can focus on higher-value tasks.
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How we work
From first call to data on schedule.
We handle the technicalities of data acquisition and automation, so you can focus on growing your business.
- 1$ scope
Define project goals
In a first consultation, we discuss your specific data needs and desired outcomes to make sure the project succeeds.
- 2$ sample
Build a custom extraction
We set up automated extractions tailored to your use case and send you a sample dataset before any full-scale collection.
- 3$ deliver
Collect and deliver
Once you approve the sample, we collect data at scale and deliver it within the agreed timeframe.
- 4$ monitor
Maintain and manage
Our team keeps every subsequent run healthy and makes sure your data arrives on schedule, with minimal disruption.

