Multiple Listing Service Management (MLS Management)

A Property Listing Software Solution

services

Web Application Development

industry

Real Estate

duration

Working Since 2018

country

United States

Multiple Listing Service Management (MLS Management)

Project Overview

Multiple Listing Service (MLS) is a supportive solution for an online real estate application. It is a property listing software with seamless functionality of fetching property from other platforms. The software is efficient in capturing and accessing different data structure schemas. It also manages all the necessary licenses and compliances. The MLS software consists of a Machine Learning (ML) approach to automate the schema conversion tool. Also, it has a smooth functionality to exchange data from MLS to server implemented IDX (Internet Data Exchange).

Challenges

Field Structure (Schema Mapping Tool)

• All MLS follow their own field structure for property data.

• Schema includes a huge number of fields, so the team had to normalize the schema for application.

• Mapping and matching the most common schema field based on parameter scores was a big task.

Multiple Third-Party for MLS

• There are many third-party for MLS IDX which had to be implemented.

• Had to pull properties from standard protocols like RETS API, RESO Web API.

• Different MLSs had their own method of exchange, IP Address, and image processing.

Rules & Regulations (Compliance)

• Every MLS has their own rules and regulations about displaying or handling property details publicly on site.

• Various compliances like address disclosure, Internet entry listing display had to be managed.

• The team had to be careful while fetching MLSs and had to display disclaimer & office name on properties.

Rate Limiting & IP Access

• Rate limiting is the most common practice for limiting the number of records to pull in a single request and in a certain timeframe.

• Some MLS have specific IP base access, requiring registered IP addresses for access.

• We had to create a complex schedule and exponential back-off based strategy to maximize the output.

Our Solution

Global Field Structure

• Made one global field structure for use in our system HQ/CRM.

• While pulling properties from MLS, we add field structure before adding/updating property in our DB.

• The team of developers are able to manage properties easily on HQ or on our other platforms.

Image Processing Pipeline

• Added an Image processing pipeline with DLS (Downloading Server) which takes original images from MLS and stores them in a bucket.

• Applied different image processing techniques like compression, sharpening and resizing.

• Stored images in different formats that support latest web standards: AVIF, WEBP, Progressive JPEG.

ML-Powered Schema Mapping

• Integrated machine learning approach for schema normalization.

• Leveraged ML capability to map and match the most common field based on various parameter scores.

• Resolved the challenge to overcome the Schema Conversion Tool automatically.

Infrastructure & Scaling

• Used a private NAT gateway and Accelerator for solving US IP address access requirements.

• The system follows a horizontal auto scaling policy based on metrics to increase workers on a runtime basis.

• With auto scaling in place, the system can handle any type of workload in order to maintain the state.

Features

The MLS Management platform includes the following key features for property data management and exchange.

1. Add / Update MLS Details Into MLS Admin

Onboarding of new MLS is very simple and easy. One can test and check credentials before processing and also check real time status of MLS connection active/inactive.

2. Field Mapping (Schema Mapping Tool)

The user can map a field structure here, against our field schema to MLS field scheme. In some cases there are no proper fields, for which one has to manually search the type of field and complete the field mapping for further use.

3. Cron Schedule for Properties

Cron schedule is used for fetching properties from MLS in every 15 & 30 minutes time interval by last modification timestamp of properties. Schedule is a background process, thus, runs automatically in every 15 - 30 minutes.

4. Worker Dashboard

It is a place to view all metrics and statistics of MLS and workers. Dashboard provides all time metrics number or running process, total queue, messages in queue, total pulled properties, downloading images, etc. The system follows a horizontal auto scaling policy based on the metrics to increase the number of workers on a runtime basis. With auto scaling in place, the system can handle any type of workload in order to maintain the state.

Technology Stack

The MLS Management platform is built on a cloud-native AWS infrastructure with PHP (Laravel) backend, multiple database systems, and serverless computing for scalable property data processing.

Cache & Message Queue

Redis , AWS Simple Queue Service

Logging & Monitoring

AWS Cloudwatch

Infrastructure Orchestration

Terraform , AWS Cloudformation

Serverless

AWS Lambda ( Python & Node.js )

Third Party

RETS API , RESO WEB API

Frontend UI

HTML , CSS , jQuery

Technologies

PHP ( Laravel ) , Elastic Search , Connector ( Golang )

CI/CD

Gitlab , Elastic Container Registry

Server Stack

Docker , AWS Elastic Container Service

Database

AWS Relations Database Service (MySQL) , MongoDB

Notifications

AWS Simple Notification Service , Slack Notification

Conclusion

The MLS Management platform successfully streamlined property data exchange across multiple listing services for the US real estate market. By integrating ML-powered schema mapping, automated cron scheduling, and a scalable AWS infrastructure, the solution enables real-time property synchronization while managing compliance requirements across different MLS providers.

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