--- title: "How to Build a Real Estate Website in Framer" description: "How to build a real estate website in Framer: structuring property listings in the CMS, adding price range sliders and multi-field filters, and the design details that matter for buyers." canonical_url: "https://framerhub.io/blog/framer-real-estate-website-guide" last_updated: "2026-08-23T00:00:00.000Z" --- Real estate buyers filter aggressively. Price range, bedrooms, location, property type, often all at once, before they'll look at a single listing photo. A framer real estate site that can't handle that loses visitors before they reach the properties that would have matched. This guide covers the field structure property listings actually need, what native Framer filtering does and doesn't cover for this specific vertical, and how to add the price range and combined filters buyers expect. There's a live demo of the finished filtering behaviour at [framercmsfilter.com/demo?demo=real-estate](https://framercmsfilter.com/demo?demo=real-estate), location, property type, price range and bedrooms working together, so you can see the end state before you build it. --- ## Structuring property listings in Framer's CMS Real estate listings need more structured fields than almost any other CMS use case, because buyers filter on nearly every data point. This is the schema we'd ship, the same shape of data you can see being filtered in the live demo.
Field Type Why it's this type
Title Text The listing headline ("3-bed craftsman, Eastside")
Price Number A Text price can be displayed but never range-filtered or sorted
City / Neighborhood Option A fixed list gives buyers a clean facet and stops "Austin" and "austin " becoming two values
Full address Text Display only, separate from the filterable location field
Bedrooms Number Buyers filter "3 or more", which needs a numeric comparison
Bathrooms Number Same reason, and half-baths mean it needs decimals
Square footage Number Second most common range filter after price
Property type Option House, condo, townhouse, land
Status Option For sale, pending, sold — so unavailable stock can be filtered out without deleting the page
Year built Number Optional, but it's a range filter buyers use more than agents expect
Listed date Date Powers "new this week" and newest-first sorting
Gallery Image (multiple) Real estate is the most photo-dependent listing category there is
Description Rich Text The write-up on the detail page
Listing agent Reference Points at an Agents collection, so a bio change happens once
The two decisions that cost the most if you get them wrong: **Location is two fields, not one.** A full address is for display. A City or Neighborhood Option field is what a filter binds to. Try to do both jobs with one text field and you'll end up with a filter dropdown containing forty unique addresses. **Price, beds, baths and square footage must be Number fields from day one.** Retrofitting the field type after eighty listings are entered as text means re-entering eighty listings. This is the single most common expensive mistake on a real estate build. --- ## Building the native listing grid Drag a Collection List onto the page, connect it to the property collection, and design a card showing the hero image, price, city, and a bed/bath/sqft summary line. Add native Dynamic Filters bound to Property type and Status. That's a working, browsable listings page, and it's free. For a single agent with twenty active listings, this is genuinely the right answer. Native filtering handles tabs, dropdowns, checkboxes and toggles bound to a field, it combines them with AND logic, and it drives URL parameters from the page variables behind each filter, so a filtered view is shareable. Don't reach past it until the project needs something it doesn't do. --- ## Where native filtering falls short for real estate specifically Real estate is the vertical that hits the ceiling fastest, because the four things buyers filter on are exactly the four native filtering doesn't compose. **No price range.** Native filter controls bind a field to an option, a checkbox or a toggle. A $400k–$800k band needs a numeric range control, which isn't one of the native types. **No "3 or more" threshold on a numeric field.** Buyers almost never want exactly three bedrooms. Modelling "3+" as option values ("1", "2", "3", "4+") is the usual workaround, and it breaks the moment someone wants 3-or-more *and* under $700k. **No result count.** "38 properties match" is a real usability feature on a listings page, and it's the first thing a client asks for after seeing the first build. **No option counts on the facets.** Buyers scan "Miami (12)" and skip the empty neighborhoods. Without counts they click into dead ends. **No saved or favourited listings.** Buyers compare. A shortlist is standard behaviour on every portal they've used. For the full picture of what native Dynamic Filters cover and where they stop across any CMS use case, see our [Dynamic Filters guide](/blog/framer-dynamic-filters-guide). --- ## Adding real estate-grade filtering with CMS Filter [CMS Filter](/plugins/framer-cms-filter) is our plugin, and real estate is the use case it fits best, because every gap above is one of its components. **Price as a real range.** A range filter type bound to the Price number field, as a dual input or a slider, with unit formatting so buyers see $450,000 rather than 450000. **Bedrooms and bathrooms as thresholds.** Number filters ship with eight comparison operators, so "3 or more bedrooms" is a setting, not a workaround. **Location, property type and status composed with price and beds.** AND/OR logic is composed at three levels, per filter, per filter builder, and on the collection itself, so four filters narrowing at once behaves the way buyers expect. **A live result count.** A count component renders "38 properties" against the current filter state and updates as buyers narrow. **Facets with option counts.** Auto-detected from the CMS option fields, so "Miami (12)" comes for free once the field is an Option. **Removable filter chips.** A buyer four filters deep can drop the price range without resetting bedrooms and location. **Multi-field search.** One debounced input searching across title, address and description together, rather than one field at a time. **Listed-date range.** A date range toggle for "new this week", which is the single highest-engagement filter on most portals. **Sorting and pagination.** Sort by price or square footage, then page through results rather than rendering four hundred listings into one scroll. **Saved favourites.** A favourite button on the card and a saved-listings view, so buyers can build a shortlist. **Desktop sidebar and mobile drawer stay in sync.** Filter surfaces sharing a store key show the same state, so a buyer who filters in the mobile drawer sees it reflected everywhere. **Shareable filtered URLs.** One `urlSync` toggle on the collection writes the active filter state into the URL, so an agent can send a client a link to "3-bed condos in Eastside under $700k" and have it open filtered. The live demo runs this exact combination: [framercmsfilter.com/demo?demo=real-estate](https://framercmsfilter.com/demo?demo=real-estate). Show it to the client before you quote the build, it's a faster conversation than a spec document. ### Setup steps 1. Install CMS Filter from the FramerHub plugin page or the Framer Marketplace. 2. Replace the Collection List with `CMSCollection`, connected to the property collection, and give it a `storeKey`. 3. Add `CMSFilters` with the same `storeKey`. Configure a range filter on Price, number filters with a "greater than or equal" operator on Bedrooms and Bathrooms, and option filters on City, Property type and Status. 4. Add `CMSSearch` across Title, Full address and Description. 5. Add `CMSCount`, `CMSFacets` and `CMSClearAll` around the grid. 6. Add `CMSPagination` under the grid and `CMSSort` above it. 7. For a desktop sidebar plus a mobile filter drawer, duplicate the `CMSFilters` block with the same `storeKey` so both surfaces stay synchronized. 8. Turn on `urlSync` on `CMSCollection` last, then test that a filtered URL opens in the same state in a fresh browser. --- ## Design details that matter for real estate buyers **Photo quality and gallery depth.** A gallery with lightbox viewing beats a single hero image by more here than anywhere else. **Map placement.** Buyers want location context immediately, either as a map toggle beside the grid or embedded on the detail page. If you show a map next to a filtered grid, keep it in sync with the filter state, a map showing every property while the list shows twelve is worse than no map. **Status visible on the card.** A buyer who falls for a sold listing and only finds out after clicking through has a bad experience that reflects on the agent. **Fast image-heavy pages.** Multiple high-resolution photos per listing plus a filterable grid is a naturally heavy page. Serve appropriately sized images and lazy-load below the fold; our [performance guide](/blog/optimize-framer-site-performance) covers the general approach. **Agent contact reachable from both places.** Contact details or an enquiry form should be one click away from the grid and from every property page. --- ## Individual property detail pages Each property needs its own page: the full gallery, complete specifications, the write-up, and a way to request a showing. Framer's CMS page templates generate one detail page per collection item from the same fields you set up for filtering, so this comes almost free once the schema is right. Design the template for your most complete listing and check it against your thinnest one. A luxury listing with 40 photos and a 600-word description and a bare land listing with three photos and two lines have to survive the same layout. Enquiry handling is where real estate sites leak leads. A generic "thanks, we'll be in touch" is weaker than confirming which agent will respond and roughly how soon. On a multi-agent site, route the enquiry using the listing agent reference field rather than dropping everything into a shared inbox. --- ## SEO for real estate listing pages Real estate is a category where SEO drives genuinely high-intent traffic, because buyers search very specifically ("3 bedroom house Austin under 500k"). **Give every property its own indexable detail page**, with a title and meta description built from its actual fields, address, price, bedrooms, not one template string repeated across 200 pages. **Use structured data** appropriate to the listing type so price and key details can appear in the result before the click. **Handle sold listings deliberately.** Either redirect a sold listing to a relevant active page or keep it live with a clear sold status. Deleting pages that accumulated search value is the worst of the three options. **Build location landing pages if volume supports it.** A page for "homes for sale in neighborhood " that links into a pre-filtered result set captures location intent the grid alone won't reach, and with URL sync on, that pre-filtered link is one you can actually create. Our [Framer SEO guide](/blog/framer-seo-guide) covers the site-level settings behind all of this. --- ## Lead capture and supporting content **Enquiry and showing-request forms** are the conversion point on a real estate site. Validate them properly, a broken contact form on a $600k listing page is an expensive bug, not a cosmetic one, and confirm submissions are actually arriving before handover, not after. **A mortgage or affordability calculator** helps buyers self-qualify before they reach out, and it's a common reason a listings site gets bookmarked. **Neighborhood and area guides** support both SEO and the buyer's actual decision, and they're the content an agent can genuinely write. For the collection and reference-field mechanics underneath all of this, see the [Framer CMS complete guide](/blog/framer-cms-complete-guide). --- ## Common real estate site mistakes **Text fields instead of Number fields for price, beds and square footage.** This blocks range and threshold filtering entirely and is usually discovered after data entry. **No status filter, so sold properties clutter active results.** Buyers filtering for available homes shouldn't have to click through sold ones. **A single low-resolution hero image instead of a real gallery.** This undersells every listing on the site. **No mobile filter drawer.** A large share of property searching happens on a phone, often while driving through a neighborhood. Desktop-only filtering misses that entirely. **Promising an MLS feed before checking what it takes.** Every real estate client raises this one first. ### What about MLS/IDX feeds? Be straight about this one, because it decides whether the project is a Framer build at all. Framer's CMS has no MLS or IDX integration. There is no native connector, and nothing in the CMS pulls a feed on a schedule. That leaves three honest routes: 1. **Manual or CSV-based listings.** The agent or their assistant maintains listings in the Framer CMS, importing via CSV when there's a batch. This is the right answer for a single agent or a small boutique brokerage with their own inventory, and it's what most of these builds actually are. 2. **A server-side job that writes into the CMS.** Something outside Framer reads the feed and writes items in through Framer's Server API, which Framer lists as open beta. This is a real software project with real maintenance, not a plugin you install, budget it as one. 3. **An embedded third-party IDX widget.** Fastest to ship, and it costs you design control: the listing pages come from the vendor's iframe, not your Framer template, so the filtering and detail design in this guide stop applying to those pages. On top of the technical route, MLS display rules are set by each local board and association, and access is typically tied to a licensed member. Confirm what the client's board allows before you quote a feed-driven build. Telling a client "not this way, here's what it would actually take" early is much cheaper than discovering it in week three. --- ## FAQ ### Can Framer handle a real estate listings website? Yes. Framer's CMS collections work well for property listings, with each property as a collection item holding price, location, bedrooms, square footage, and images. The part native Framer doesn't cover is a price range filter and several filters composed together with a live result count, both of which real estate sites need almost by default. ### How do I add a price range slider to a Framer real estate site? Framer's native Dynamic Filters cover tabs, dropdowns, checkboxes and toggles bound to a field, not a numeric range. The CMS Filter plugin adds a range filter type that binds to a numeric CMS field as a dual input or a slider, with unit formatting for prices. ### What CMS fields does a real estate website need? At minimum: price, city or neighborhood, bedrooms, bathrooms, square footage, property type, status, and images. Price, bedrooms, bathrooms and square footage must be Number fields, and city, property type and status should be Option fields, or you lose range and facet filtering later. ### Can a Framer real estate site pull listings from an MLS or IDX feed? Not natively. Framer's CMS has no MLS or IDX integration, so a feed has to reach the CMS some other way: a server-side job that writes items in through Framer's Server API, which Framer lists as open beta, or an embedded third-party IDX widget, which costs you design control over the listing pages. MLS display rules are set by each local board, so confirm them before quoting the work. ### How do I filter properties by bedrooms and price at the same time in Framer? You need several filters composed together. Native Dynamic Filters combine with AND logic but have no numeric range control. CMS Filter composes a price range filter, a bedrooms threshold filter, and location and property type filters in one collection, with a result count and removable filter chips. --- ## Bottom line A framer real estate site lives or dies on two things: number fields set correctly on day one, and filtering that composes price, bedrooms, location and property type at once. Native Framer gets you the CMS structure, the detail pages and a browsable grid, genuinely enough for a small single-agent site. Past that, the range filter, the result count and the shareable filtered URL are what buyers expect, and that's the gap [CMS Filter](/plugins/framer-cms-filter) fills. Look at the [real estate filtering demo](https://framercmsfilter.com/demo?demo=real-estate) before you scope the project. It's the fastest way to find out whether the client wants what you're about to quote. *Last updated: August 2026*