Case Study · Business Automation
Real Estate Market Data Aggregation Engine
Automated scheduled data collection across 40 regional public registries with automated validation and CRM syncing.
The Engineering Challenge
Operations staff spent over 120 manual hours every week copying property ownership records, deed updates, and tax records into internal spreadsheets.
Our Architectural Solution
Built a fault-tolerant Node.js & Python background worker pipeline that scrapes, normalizes, enriches, and validates property records on a scheduled cron cadence.
Measurable Production Results
Saved 120+ manual operational hours weekly while eliminating manual data entry error.
Increased property lead data accuracy score to 99.4%.
Syncs verified property leads directly into HubSpot CRM in real time.
Technologies & Frameworks
Node.jsPythonSeleniumPostgreSQLHubSpot APIAWS Lambda
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