Ever found yourself drowning in spreadsheets and chasing down missing details?That was exactly the situation one of my clients faced, a real estate data aggregator struggling to manage and enrich property records across multiple sources.
The Challenge
The client needed to automatically pull property details and enrich them with additional owner, director, and address information. Doing this manually was error-prone and consumed hours daily, slowing down decision-making.
The Solution
Using Make.com, I built a streamlined automation that begins with Google Sheets, makes HTTP requests to pull external data, manages cookies, parses responses, and uses a router to channel each data point where it belongs. Each detail, from owner names to individual emails—is cleanly updated into the right sheet, instantly. The Tools
- Make.com (Integromat)
- Google Sheets
- HTTP Module
- Text Parser
- Router & Data Aggregation Tools
The Hurdles
Dealing with inconsistent response formats from APIs was tricky. Some APIs needed dynamic cookies, and others returned data in unreadable chunks. I built custom parsing rules and integrated conditional routers to ensure clean data flow.
✅ The Outcome
The result? A fully automated workflow that updates property data every 15 minutes, no manual input required. The client now saves over 10 hours weekly, with data quality improving significantly. They were honestly relieved, calling it a "game-changer" for their operations.
Who Needs This?
Real estate firms, property tech startups, and data aggregation services looking to minimize manual work and maximize data accuracy.
If you're dealing with messy data or time-consuming tasks like this, let's explore how automation can work for you.
🔁 I'd love your feedback or to collaborate on your next project.