Monitor student housing listings and alert on new deals

The system scans housing sites for new listings within budget and alerts you the moment one appears.

How the work actually flows

It branches. Every path runs; runs once per each housing site.

Pattern: Parallel Split (2) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig>"housing search request submitted"]:::trig s0[["scan housing sites"]]:::mi s1["filter listings by budget"]:::task trig --> s0 s0 --> s1 gx{"+ where to send matching listings"}:::gate s1 --> gx p00["post summary to chat channel"]:::task gx -->|"notify chat"| p00 p10["update student record"]:::task gx -->|"update record"| p10 p00 --> out p10 --> out out[/"chat alert with matching listings"/]:::out pay{{"catches budget listings before they're gone"}}:::pay out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepRuns once per itemEvery pathResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Messaging & NotificationsAPI & Webhook IntegrationCustomer Support & Ticketing
Connects
Rocket.ChatIntercomScrapeGraphAI

The problem it solves

Finding student housing means refreshing the same handful of websites over and over, hoping to catch a good unit before someone else does. By the time you notice a listing that fits your budget, it's often already gone.

Who it fits

Students or a housing service helping students find off-campus or university housing.

How it works

  1. A search request comes in with budget, location, and room type preferences
  2. The system scans a list of university and rental housing sites for current listings
  3. Listings are checked against the budget to find ones that qualify
  4. A summary of matching listings is posted to a chat channel
  5. The student's record is updated with the latest housing report
What you get

Listings your students see before anyone else

Students get alerted the moment a housing listing matching their budget and preferences appears, without having to refresh sites all day.

What you get

A chat alert with matching listings and an updated student record.

What you need

A Rocket.Chat workspace, an Intercom account, and a ScrapeGraphAI API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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