- RESO Web API OData protocols require granular token bucket rate limiting to prevent IP throttling from MLS boards.
- Dual-stage ingestion pipelines decouple heavy image re-encoding from real-time price and status change propagation.
- PostgreSQL with PostGIS extensions allows sub-5ms polygon radius searches across 1,000,000+ historical and active property records.
- Automated fallback sync jobs run every 15 minutes to reconcile missed webhook events and preserve absolute data integrity.
“When a new listing or price reduction hits the MLS, our clients' buyers receive automated SMS alerts within 12 seconds, consistently beating national portals to the punch.”
1. The Challenge of Legacy RETS vs. Modern RESO Web API
2. The Dual-Stage Distributed Ingestion Pipeline
import { createODataClient } from "@reso/odata-client";
import { redisPublisher } from "@/lib/redis";
export async function pollMlsDeltas(lastSyncTimestamp: string) {
const client = createODataClient({
endpoint: process.env.RESO_API_URL!,
token: process.env.RESO_BEARER_TOKEN!,
});
// Query only records modified since last timestamp
const filter = `ModificationTimestamp gt ${lastSyncTimestamp}`;
const stream = await client.getProperties({
$filter: filter,
$select: ["ListingKey", "StandardStatus", "ListPrice", "City", "Coordinates"],
$top: 500,
});
for await (const listing of stream) {
// Publish instantly to Redis channel for websocket dispatch
await redisPublisher.publish("mls:listing:updated", JSON.stringify(listing));
}
}3. Geospatial Indexing with PostGIS
| Pipeline Component | Legacy Batch Cron | Built Digitally Stream Sync |
|---|---|---|
| Listing Change Latency | 2 to 4 hours | < 15 seconds (Real-time) |
| Daily Record Capacity | 50,000 records | 1,200,000+ records |
| Photo Ingestion Throughput | 5 photos/sec | 120 photos/sec (Edge CDN) |
| Polygon Query Response | 450ms | 8.2ms (PostGIS indexed) |
| Sync Uptime SLA | 97.2% | 99.99% Guaranteed |
Marcus Vance
AuthorMarcus specializes in enterprise database clustering, high-throughput streaming pipelines, and real estate data standards (RESO Data Dictionary & Web API).
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