One Listing, 90,000 Realtors, 200+ Platforms. MLS Apartments Built That Engine with Magentic AI.
MLS Apartments needed more than a listing tool. They needed an automated distribution machine, a smart data aggregator, and an analytics platform, all built around the way real estate professionals actually work. Magentic AI built the automations, the integrations, and the intelligence layer.
Getting a property listing in front of the right people is the core job in real estate. But doing that across tens of thousands of realtors and hundreds of platforms, consistently, accurately, and without a manual process breaking down somewhere in the middle, is an entirely different problem.
MLS Apartments was operating in that gap. They had a growing network, a large client base, and real ambition to be the platform that connects property managers and realtors at scale. What they didn't have was the automation infrastructure to support it without things getting messy fast.
Here's what they were dealing with:
- Listing distribution was a manual bottleneck. Getting a property listed across multiple platforms required repetitive, time-consuming effort. At any kind of scale, that becomes unsustainable and error-prone.
- Realtors found the listing form tedious. Filling in a full real estate listing from scratch is a slow process. For busy property managers and agents handling multiple listings, friction at the input stage meant delays, incomplete data, and drop-off.
- Analytics were scattered and inaccessible. Performance data across different listing platforms lived in different places. Clients had no single view of how their listings were performing, which meant decisions were being made with incomplete information.
- No visibility into platform-wide trends. Without consolidated analytics and heat maps, neither MLS Apartments nor their clients could see the bigger picture: where demand was concentrating, which listings were getting traction, and where attention was being lost.
We built the automation and intelligence infrastructure that MLS Apartments needed to operate at the scale their business required. Everything we built was designed around one principle: reduce friction at every step, and surface the right information at the right time.
Here is what we delivered:
- Automated listing syndication across 90,000+ realtors and 200+ platforms. A single listing input now triggers automated distribution across MLS Apartments' full network. No manual re-entry, no platform-by-platform posting, no data inconsistency. One submission, maximum reach, instantly.
- Smart, intuitive listing forms. We redesigned the listing input experience from the ground up. The form is fast, guided, and intelligent, capable of scraping existing property information to pre-fill fields where data already exists, and structured to make filling from scratch as frictionless as possible. Realtors and property managers spend significantly less time on data entry and more time on what matters.
- Cross-platform data scraping and analytics aggregation. We built scrapers that pull performance data from across the platforms MLS Apartments syndicates to, and consolidate it into a single analytics layer. Clients get a unified view of their listing performance without having to chase numbers across a dozen different dashboards.
- Heat maps and platform-wide visibility tools. Beyond individual listing analytics, we built visualisation tools including heat maps that give MLS Apartments and their clients a geographic and behavioural picture of where interest is concentrated, where listings are gaining traction, and where there are opportunities being missed.
React Js
Node.js
PostgreSQLWe built the platform in focused layers, starting with the highest-impact automation first. Listing syndication went live first, immediately eliminating the manual distribution process. The smart form followed, dramatically reducing the time and effort required at the input stage. Analytics aggregation and the visualisation layer were built on top of the clean, centralised data that the syndication pipeline was now producing.
The outcomes across MLS Apartments' business and their clients were significant:
- Listings now reach 90,000+ realtors and 200+ platforms automatically, with no manual effort required after the initial submission.
- Realtor and property manager input time dropped substantially as the smart form eliminated repetitive data entry through auto-fill and guided input flows.
- Clients gained a single, consolidated view of listing performance for the first time, replacing the fragmented, platform-by-platform picture they had before.
- Heat maps and analytics tools gave MLS Apartments a genuine product differentiator, turning raw listing data into strategic insight that clients actively use to make decisions.
- The platform now scales with the business rather than against it. Adding new platforms, new clients, or new listing volumes does not add operational overhead.
90,000+
realtors
200+
real estate platforms
One
unified analytics view
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