US-20260127689-A1 - SYSTEM AND METHOD FOR REAL-TIME RETRIEVAL OF REAL ESTATE LISTING DATA

US20260127689A1US 20260127689 A1US20260127689 A1US 20260127689A1US-20260127689-A1

Abstract

A system and method provide real-time lead identification and lifecycle monitoring for real estate listing opportunities earlier than conventional batch-processing platforms. The system incorporates a Predictive Expiration Monitoring (PEM) engine module to analyze active listing records and schedule delivery of lead notifications to subscribing professionals prior to a contractual expiration event. Concurrently, a Reactive Delisting Detection (RDD) engine module continuously monitors MLS data in real-time to detect and immediately deliver leads corresponding to status changes such as Cancelled, Terminated, or Withdrawn. All delivered leads are enrolled in a continuous monitoring service that tracks the property for subsequent reactivation or relisting in a non-expired status. Upon detecting such an event, the system automatically generates a compliance notification, instructing the subscriber to cease further outreach. This integrated system significantly improves conversion rates and reduces competition by providing actionable, timely data, optionally enhanced by machine-learning ranking and filtering criteria.

Inventors

Rory James Higgins

Assignees

Rory James Higgins

Dates

Publication Date: 20260507
Application Date: 20251027

Claims (17)

1 . A system for real-time retrieval of real estate listing data, the system comprising: a data ingestion interface module configured to receive and normalize real estate listing records from one or more Multiple Listing Service (MLS) databases; a predictive expiration monitoring (PEM) engine module configured to: analyze active listing records having an Expiration Date metadata field; and schedule delivery of a lead notification to a subscribing real estate professional prior to a listing expiration event while the listing remains in an active status; a reactive delisting detection (RDD) engine module configured to: continuously monitor the MLS records for status changes in real-time; detect a status change of a listing to a delisted status, wherein the delisted status includes Cancelled, Terminated, or Withdrawn; and deliver a corresponding lead notification substantially immediately upon detection of the status change; and a monitoring service module configured to: enroll all delivered lead notifications from the PEM engine and the RDD engine into a continuous monitoring queue; and generate a compliance notification to the subscribing real estate professional when a listing previously delivered as a lead is subsequently detected as being relisted or reactivated in a non-expired status.
2 . The system of claim 1 , further comprising a normalization pipeline module configured to map disparate MLS record fields into a canonical data schema prior to processing by the PEM engine and the RDD engine.
3 . The system of claim 1 , wherein the PEM engine module schedules delivery at a predetermined time on the Expiration Date.
4 . The system of claim 1 , wherein the RDD engine module delivers the corresponding lead notification substantially immediately by transmitting the notification within a configurable time period of less than one hour after detecting the status change.
5 . The system of claim 1 , further comprising a Data Processing Module configured to filter the listing records based on a determination that the property associated with the delisted status has not been re-entered into the MLS as a new active listing.
6 . The system of claim 1 , wherein the monitoring service module is configured to track the status of the listing for at least 30 days after the listing is delivered as a lead.
7 . The system of claim 1 , wherein the monitoring service module cross-references a Storage Module containing historical delivery records to determine a subset of subscribing real estate professionals who previously received the lead notification, for targeted delivery of the compliance notification.
8 . The system of claim 1 , further comprising a User Interface Module configured to allow the subscribing real estate professional to set and apply filtering options based on at least one criteria selected from: geographic location, property type, and price range.
9 . The system of claim 1 , further comprising a classification module configured to rank or filter the delivered leads using a machine-learning algorithm trained on historical conversion outcomes or anomaly detection.
10 . The system of claim 1 , further comprising an Alert Communication Module configured to integrate the lead notification with an external customer relationship management (CRM) system used by the subscribing real estate professional.
11 . A method for real-time retrieval of real estate listing data, the method comprising: receiving and normalizing MLS records from a data ingestion interface module; predictively scheduling a lead notification via a PEM engine module by: analyzing an Expiration Date field of an active listing record; and scheduling delivery of the lead notification to a subscribing real estate professional prior to a listing expiration event; reactively detecting a delisted status in real time via an RDD engine module by: continuously monitoring the MLS records for status changes; detecting a transition of a listing to a delisted status, including Cancelled, Terminated, or Withdrawn; and delivering a corresponding lead notification substantially immediately upon detection; and continuously monitoring the listing via a monitoring service module by: maintaining a status lineage record of the listing following delivery of the lead notification; and automatically generating a compliance notification to the subscribing real estate professional upon detecting a subsequent relisting or reactivation of the property to a non-expired status.
12 . The method of claim 11 , wherein predictively scheduling delivery comprises selecting a delivery time on the Expiration Date for the active listing that is prior to the listing's actual expiration time.
13 . The method of claim 11 , further comprising, prior to delivering the corresponding lead notification, the step of filtering the listing using a Data Processing Module to confirm it has not been relisted with a different MLS number
14 . The method of claim 11 , further comprising aggregating data from multiple real estate markets across different geographical regions prior to the predictive scheduling and reactive detection steps.
15 . The method of claim 11 , wherein delivering the lead notification and the compliance notification includes transmitting the notification via one or more communication channels selected from: email, SMS, and mobile application push notification via an Alert Communication Module.
16 . The method of claim 11 , further comprising ranking or filtering the delivered leads using a classification module trained on historical conversion outcomes to prioritize delivery.
17 . The method of claim 11 , wherein continuously monitoring the listing via the monitoring service module comprises cross-referencing a Storage Module containing historical data to associate the relisted property with the previous lead notification record.

Description

CROSS-REFERENCE TO RELATED APPLICATION This application claims priority to U.S. Provisional Patent Application No. 63/712,466, filed Oct. 27, 2024, titled “System and Method for Real-Time Retrieval of Real Estate Listing Data,” the entirety of which is incorporated herein by reference. FIELD OF INVENTION The present invention relates to systems and methods for providing real-time data on real estate listings that have been cancelled, expired, terminated, or withdrawn from a multiple listing service (MLS). BACKGROUND OF THE INVENTION In the real estate industry, accessing timely and accurate data on property listings is critical for real estate professionals, particularly when a listing's status changes to cancelled, expired, terminated, or withdrawn from the Multiple Listing Service (MLS). When a listing is removed from the market without selling, real estate agents or investors often attempt to contact the homeowner in hopes of securing the property for re-listing. However, current systems that provide this data suffer from several critical deficiencies. First, existing services that offer expired, cancelled, withdrawn, or terminated listing data rely on batch processing methods that deliver the data in bulk at a fixed time each day, usually the morning after the listing status changes. This delay results in intense competition, as numerous agents or investors simultaneously contact the same homeowners, leading to frustration for homeowners and a low success rate for agents or investors. These services do not offer the real-time data access required to gain a competitive advantage. Second, these conventional providers are purely reactive. They generally wait for an explicit status change to occur—such as a listing transitioning to “Expired”—before distributing the lead. They lack any mechanism to predict an upcoming expiration based on MLS metadata before the expiration event occurs, failing to provide agents with the earliest possible opportunity to make contact. Third, existing systems that deliver these leads often fail to provide effective or timely subsequent lifecycle monitoring. Any monitoring provided typically suffers from the same delays as their initial lead delivery, such as relying on batch processing, rather than continuous, real-time tracking. This creates a new problem where an agent may continue to expend effort, or risk compliance violations, by contacting a homeowner who has already relisted the property with a new professional. These systems lack an integrated and continuous lifecycle monitoring or compliance notification mechanism to immediately inform the agent when outreach should cease Therefore, there is a clear and unmet need for a comprehensive, integrated system that overcomes all of these deficiencies. A need exists for a system that not only (1) provides real-time access to cancelled, withdrawn, or terminated listing data, but also (2) predictively identifies leads before they expire, and (3) provides continuous lifecycle monitoring to issue compliance notifications when a lead is relisted. The present invention addresses these needs by offering a solution that delivers predictive, real-time, and continuously monitored property status updates. SUMMARY OF THE INVENTION In light of the disadvantages mentioned in the previous section, the following summary is provided to facilitate an understanding of some of the innovative features unique to the present invention and is not intended to be a full description. A full appreciation of the various aspects of the invention can be gained by taking the entire specification and drawings as a whole. The present invention is a system and corresponding method for the real-time retrieval of real estate listing data. The system significantly improves upon conventional data processing methods by combining two distinct detection mechanisms to provide real estate professionals with timely, actionable leads. The system comprises a data ingestion interface module configured to receive and normalize real estate listing records from one or more Multiple Listing Service (MLS) databases. This normalized data is processed by two primary engine modules. First, the predictive expiration monitoring (PEM) engine module is configured to analyze active listing records having an Expiration Date metadata field and to schedule delivery of a lead notification to a subscribing real estate professional prior to a listing expiration event while the listing remains in an active status. In some embodiments, this delivery is scheduled for a predetermined time on the Expiration Date. Second, the reactive delisting detection (RDD) engine module is configured to continuously monitor the MLS records for status changes in real-time. This module detects a status change of a listing to a delisted status, including Cancelled, Terminated, or Withdrawn, and delivers a corresponding lead notification substantially immediately upon detection of the status change, potentially with