Real Estate Data Engineering and Automation Platform

Background

A leading real estate technology company required a comprehensive data processing and automation system to manage and enhance property datasets nationwide. The project’s goal was to ensure continuous, accurate data collection and deliver value-added analytics, including rent estimation, parcel data integration, and mortgage prediction capabilities.

Coaldev was engaged to build a comprehensive data ecosystem that automated data scraping, developed secure APIs for data access and monetization, and migrated the client’s infrastructure from AWS to Linode for cost optimization and flexibility.

Challenges

Building a nationwide real estate data pipeline required maintaining nonstop data collection while ensuring accuracy, stability, and cost efficiency at scale. The system needed to support continuous scraping, complex integrations, and a cloud migration that wouldn’t interrupt existing services. Below are the key challenges Coaldev resolved while developing this end-to-end data engineering ecosystem.

Maintaining 24/7 data scraping with minimal downtime.

Managing data consistency across multiple property datasets

Handling large-scale proxy rotations and network costs.

Ensuring seamless system migration without service disruption.

Solution

Coaldev’s engineers built a robust architecture featuring scrapers with integrated proxy management, automated failure detection via Slack alerts, and an ELK-based monitoring setup—the rent estimator engine leveraged property data to calculate market-aligned rent and lease predictions.

Coaldev’s data engineering team developed an automated data ecosystem that unified scraping, analytics, and distribution under one platform.

Key solution components included:

1. Automated Data Scraping

Scrapy-based crawlers deployed across distributed clusters with intelligent proxy rotation to ensure uninterrupted data collection.

2. Failure Detection and Monitoring

ELK Stack dashboards combined with Slack-integrated alerts for real-time anomaly detection and status reporting.

3. API Development

A secure REST API layer enabling controlled data access for partners, clients, and internal dashboards.

4. Cloud Migration

Seamless transition from AWS to Linode Cloud using Kubernetes orchestration, achieving cost optimization and improved scalability.

5. Predictive Analytics

A rent estimator engine utilizing property, market, and historical data to forecast rental value and mortgage performance.

This unified infrastructure provided a scalable foundation for continuous property intelligence while automating the entire data lifecycle—from collection to monetization.

Results

Coaldev delivered a continuously operating, cloud-native real estate data ecosystem that powers one of the largest autonomous property databases in the U.S.

Key results

Real-time data pipeline operating with hourly health monitoring and automatic recovery.
Comprehensive API suite enabling data sales and website integration.
Reliable AWS-to-Linode migration ensuring minimal downtime and cost savings.
Predictive rent estimation integrated with live property and financial metrics.

The platform now operates independently with complete DevOps visibility, providing consistent insights and data-driven value for real estate investors, brokers, and analytics providers.