Use cases
PropSocket is a unified PMS API. That's a sharp tool — useful for some jobs, wrong for others. Below: the three audiences we're built for, the canonical use case for each, and the cases where you should look elsewhere. We'd rather tell you no on this page than waste a week of your evaluation.
Audience 01
You're a startup shipping a leasing CRM, a maintenance app, a resident portal, a renewals product, an AI agent — anything that needs to read or react to live PMS data for someone else's portfolio. Your customers run Entrata today and you'd like to add Yardi without rebuilding the data layer.
You're a fit if
Not the right fit?
Look elsewhere if
Canonical use case
You're a leasing-CRM startup. You wire PropSocket to your customer's Entrata instance. New leases land on your endpoint as LEASE_SIGNEDwebhooks within minutes. Your renewals engine reads units and residents from the REST API using one normalized schema. When you sign your second customer running Yardi (whenever we ship), the same code path serves them — no second integration project, no parallel data model.
Audience 02
You run an ILS or a marketplace surface. You need availability, pricing, photos, and unit details across many operators on many PMSes — and you need the data fresh enough that a listing doesn't outlive the lease that filled it.
You're a fit if
Not the right fit?
Look elsewhere if
Canonical use case
You run an apartment marketplace. Twenty operators on Entrata, fifteen on Yardi (when live), and the rest scattered. You consume PropSocket's UNIT_UPDATEDwebhooks to keep availability and rent in sync, and pull nightly Property snapshots for your search index. One ingestion pipeline, one schema, one auth model — instead of one connector team per PMS.
Audience 03
You're a data engineer at an operator. Your portfolio runs on one or more PMSes and you need clean Property, Unit, Resident, and Lease data landing in your warehouse on a schedule — without owning the integration code, the auth dance, or the schema drift.
You're a fit if
deleted_at instead of vanished rows — so your historical analytics stay coherent.YYYY-MM-DD — predictable types, no float drift.Not the right fit?
Look elsewhere if
Canonical use case
Your operator has 40 properties on Entrata. You schedule a nightly PropSocket CSV export of Units and Leases to your SFTP landing zone, and your warehouse loader picks it up at 02:00. Lease lifecycle webhooks land on an internal endpoint for near-real-time dashboards. When you acquire a portfolio on Yardi (whenever we ship), the loader doesn't change — the schema is the same.
Where we're not a fit yet
These come up in every evaluation. We'd rather state them once, plainly, than have you find out three weeks in.
Today PropSocket reads. Posting charges, creating work orders, updating residents back into the source PMS — that's Phase 2 on the roadmap, not MVP. If write-back is on your critical path for the next two quarters, tell us on the contact form so we can prioritize honestly.
PropSocket runs on a sync cadence — a daily sync on Starter, customizable up to every 4 hours on Growth, every hour on Scale, and every 15 minutes on Enterprise. Webhooks fire within the cadence as the engine detects changes. If your product needs CDC-grade streaming off the PMS database, we're not it.
Our Common Data Model is PMS-shaped — Property, Unit, Resident, Lease, LeaseResident. Accounting systems, revenue management, brokerage feeds, MLS, marketing platforms — all interesting, none shipped. If your use case requires non-PMS data today, build that piece directly and use PropSocket for the PMS side.
Talk to the engineers building PropSocket. We'll tell you if we're a fit before we ask you to sign anything.