Datics AI
AI for Property management

Listings data and feeds by Datics AI · Property management service

Property and unit data collected, structured and shaped into the feed formats listing portals read.

A listings product needs listings before it needs screens. We collect and structure property and unit data first, then shape it for your own site and for the feeds outside portals read.

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Built in your codebase and tested in your vendors' sandboxes.

Rental listings data collection, structuring and feeds

  • Property data collected. Listings, detail pages and public housing authority data, delivered as CSV in rounds you review.
  • Units modeled as data. Bedrooms, bathrooms and square feet per floor plan, with properties, units and media kept apart.
  • Feeds for portals. Listings shaped into the XML rental feed format an outside listing portal reads.
  • Search on the same model. Renter search, filters and detail pages built on the same data model.

What it does

What the integration service covers.

Listings data collected from public property sources and structured into properties, units and media, with every floor plan kept as its own unit, then shaped into the XML rental feed format an outside listing portal reads.

Property data collected

Listings, detail pages and public housing authority data, delivered as CSV in rounds you review.

Units modeled as data

Bedrooms, bathrooms and square feet per floor plan, with properties, units and media kept apart.

Feeds for portals

Listings shaped into the XML rental feed format an outside listing portal reads.

Search on the same model

Renter search, filters and detail pages built on the same data model.

How it works

Data comes first, in rounds: each delivery goes to your team for review, and your feedback sets the scope of the next. The schema separates properties, units and media, so the same data serves your site and outside portals.

Built on property data collection, unit modeling and an XML listings feed we have delivered for an affordable housing listings platform.

RentSpire

Listings · Structured property data

Renters search affordable housing listings built on property data we structured first

A listings site with no listings is no use to renters; we structured the property data first, then built search and an owner dashboard on it.

Data foundationPermission-awareIntegrations
Read case study

NOLK Enterprises Inc.

Listings data · Indexed from spreadsheets

Thousands of online stores indexed from spreadsheets, compared by traffic and social following

The store list sat in four spreadsheets nobody could search. Now every store is indexed, enriched from the web and compared in dashboards.

Data foundationIntegrations
Read case study

Coast Technology

Listings data · Daily capture from many sites

Dealers see rival stock, prices and sales daily, captured from many changing websites

Dealers checked rival lots by hand, site by site. Now one engine captures competitor stock daily and the portal compares prices and sends alerts.

Data foundationInside a live productMulti-tenant
Read case study

Why it sells

What the integration service makes possible.

Best fit: Rental listing platforms, affordable housing search, property marketing software.

Used in:Property management and short-term rental software

Controls

What the integration touches, and who approves.

Built in your staging; nothing changes in your product unless your team merges it.

  • Who uses it

    Your product and data team

  • What it connects to

    Public property sources, your database and listing portal feeds

  • What a person approves

    Your team reviews every data round before the next one starts

See all controls and how we handle property data and permissions

How to get it

A fixed-scope integration, then it runs.

Scoped in the Product Review and quoted before we start. Add more only if you want it.

  1. First · Scope · fixed quote

    One piece of work, scoped

    • Your staging
    • Pull requests
    • Your team merges
    • Built and tested in your staging
    • Reviewed by your engineers
    • Monitoring before go-live
    Book a 30-minute Product Review

  2. Then · Live in production

    A finished product, yours to run

    • Fixed quote
    • Tested before launch
    • Switch per management company
    • A finished, working Listings data and feeds in your product
    • Runs in your cloud, under your name
    • Fixed quote, agreed before we start

  3. Optional · Add more later

    Only if you want it

    Modules it feeds:

    • Each one quoted on its own
    • Nothing ongoing unless you ask

Already built or tried AI? Get it scored with the AI Scorecard. Need something else? Start with a Planning Sprint.

See the integration service on your own product.

Bring your product and the systems your management companys run. In 30 minutes we look at what the integration would cover and what it would take.

Book a 30-minute Product Review All property management modules

Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.

Book a Product Review