What's New

Embed a rental search map on any website

Maps now come in two kinds. The new Listing type puts a scrollable list of your homes beside a map with price pins, and embeds on any website with an iframe. It pulls your own inventory, or takes listings from a system you already run.

Maps now come in two kinds, chosen when you create one. The original neighbourhood map pins what is around a building. The new Listing map is the classic rental search layout: a scrollable list of homes on one side, a map with price pins on the other.

You will find it under Marketing, then Maps. Create a map, pick Listing, and it gets a public URL and an iframe snippet like any other map, so it can sit on any website, including one QuickCasa did not build.

Where the listings come from

By default the map pulls your own QuickCasa inventory. Filters narrow it to specific communities or buildings, an availability setting, a bedroom range and a price range. If you keep your listings in another system, the map can take them from the host page instead.

Before you publish, Check matching listings tells you how many listings the current filters match, how many were skipped for missing coordinates, and how many pins would have nothing to click.

What a visitor gets

  • The price shown on the pin, or plain dots instead.
  • Nearby pins grouped into numbered clusters, with a click to zoom in on them.
  • A search box that filters both the list and the pins.
  • A list that follows the map as they pan, waits for a Search this area button, or always shows everything.

Making it look like yours

Every part of the layout carries a stable CSS class, and the colours are published as CSS variables. The editor has a custom CSS field with a reference table of every class and variable, plus an example you can copy.

Two things worth knowing

A listing with no coordinates cannot be pinned, so it is left off the map. The editor tells you how many that is before you embed anything.

The Performance section shows the last 30 days: how often the map loaded, how many listings were opened, the share of loads that opened one, and which listings were opened most.

Coming next

What's next

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