How to Build a Zillow Clone with Bubble

What Zillow Actually Does

Zillow is a real estate marketplace where users browse property listings, get home value estimates, connect with agents, and research neighbourhoods. The platform aggregates listings from multiple sources (MLS feeds, agent uploads, for-sale-by-owner submissions) and layers on data like price history, tax records, school ratings, and comparable sales. Users can search by location, filter by property attributes, save favourites, and contact listing agents directly.

The core experience is search and discovery. Users enter a location and see listings plotted on a map alongside a scrollable list. Filtering by price range, bedrooms, bathrooms, property type, and dozens of other criteria lets users narrow results to exactly what they want. Zillow's Zestimate algorithm provides automated home valuations, but you do not need to replicate that for a viable MVP.

Core Features to Build

Your MVP needs property listings with photos, descriptions, price, address, and key attributes (bedrooms, bathrooms, square footage, lot size, year built, property type). Map-based search showing listings as pins on an interactive map. List view with filtering by price range, bedrooms, bathrooms, property type, and listing status. Individual property pages with photo galleries, descriptions, key details, and agent contact information.

User accounts with saved searches and favourite listings drive repeat engagement. Agent profiles with listings, contact info, and a message form connect buyers with sellers. A listing submission flow lets agents or property owners create and manage their listings. Search by city, postcode, or address with autocomplete makes the platform feel professional.

Data Types in Bubble

The primary data types are Property, User, Agent, SavedSearch, Favourite, Enquiry, Photo, and OpenHouse. Property is the largest type with fields for title, description, price, address (text), city, state, postcode, geographic address (Bubble's geographic address type for map plotting), bedrooms, bathrooms, square footage, lot size, year built, property type (house, flat, townhouse, land), listing status (for sale, for rent, sold, pending), listing type (agent listed, owner listed), featured image, photos (list of Photos), agent (Agent reference), created date, updated date, and view count.

Using Bubble's geographic address type for the location field is critical because it enables map-based searching and distance calculations. Store the human-readable address as a separate text field for display purposes since the geographic address type's formatting can be inconsistent.

Agent is either a separate type or a role on the User type with fields for display name, photo, agency name, phone, email, bio, years of experience, specialities (list of texts), listings count, and rating. If agents are also users who log in to manage listings, extend the User type with agent-specific fields and a user role field to distinguish between regular users and agents.

Photo belongs to a Property with an image file, caption, sort order, and a flag for whether it is the featured image. Separate the photo type rather than using a list of images directly on Property because it gives you more control over ordering, captions, and gallery management.

SavedSearch stores a user's search criteria so they can re-run it or receive alerts. Fields include user reference, location text, price min, price max, bedrooms min, bathrooms min, property types (list of texts), and created date. Favourite is a simple join between User and Property. Enquiry captures messages from users to agents with user reference, agent reference, property reference, message text, phone number, and created date.

Map Integration and Location Search

Map-based search is Zillow's signature feature and Bubble supports it well through the Google Maps plugin or Mapbox plugin. Set up a map element on the search results page with markers bound to the search results. Each marker represents a property and shows the price as a label. Clicking a marker opens a popup with the property's key details and a link to the full listing page.

For location search, use a search box element connected to Google Places autocomplete. When a user selects a location, store it as a geographic address and use Bubble's geographic search operator to find properties within a radius. The default search radius of 10 to 25 miles works for most use cases. Let users adjust the radius or zoom the map to refine their search area.

Synchronise the map and the list view. When the user pans or zooms the map, update the list to show only properties visible on the current map viewport. Bubble's map element exposes bounds (northeast and southwest corners) that you can use as constraints on the property search. This creates the interactive map-list pairing Zillow users expect.

For address entry during listing creation, use the same Google Places autocomplete to ensure accurate geocoding. When an agent enters an address, the autocomplete resolves it to a geographic address with coordinates, which ensures the listing appears correctly on the map.

Workflows and Search Logic

The search workflow runs whenever the user changes a filter, enters a location, or moves the map. Use a combination of URL parameters and custom states to store active filter values. When any filter changes, the repeating group's data source dynamically applies all active constraints. Price range uses number comparisons on the price field. Bedrooms and bathrooms use greater than or equal to comparisons. Property type uses the contains operator on a text field.

Saved searches store the filter values as individual fields on the SavedSearch type. When a user runs a saved search, populate the filter inputs with the saved values and trigger the search. For saved search alerts, set up a recurring backend workflow that runs each SavedSearch, checks for new properties matching the criteria since the last alert, and sends an email notification if new matches exist.

The listing creation workflow is a multi-step form. Step one captures address and property type. Step two captures details (price, beds, baths, sqft, year built, description). Step three handles photo uploads with drag-and-drop reordering. Step four is a preview before publishing. Each step saves progress to a draft Property thing so work is not lost if the user navigates away.

Property view tracking increments the view count each time a user opens a listing page. Run this as a backend workflow to avoid race conditions on simultaneous views. Track unique views by checking if a View entry exists for the current user and property before creating a new one.

UI Components and Layout

The search results page uses a split layout with the map on one side and the property list on the other. On desktop, this is typically a 50/50 or 60/40 split. On mobile, the map and list switch between full-screen views with a toggle button. The filter bar sits above both panels with dropdowns for price range, beds, baths, property type, and a more filters expandable section.

Property cards in the list show the featured image, price, beds/baths/sqft summary, address, and a favourite heart icon. Each card links to the full property detail page. The detail page has a full-width photo gallery at the top (use a slideshow or grid layout), followed by price and key stats, then the full description, property details in a structured grid, map showing the location, and the agent contact section with an enquiry form.

The agent profile page shows their photo, bio, contact info, agency affiliation, and a repeating group of their active listings. Users can message agents directly through an enquiry form that creates an Enquiry entry and optionally sends an email notification to the agent.

Privacy Rules and Permissions

Published listings are visible to everyone including logged-out users. Draft and unlisted properties are only visible to the agent or owner who created them. Enquiry messages are visible to the sender and the receiving agent only. User favourite lists and saved searches are private to each user. Agent contact details are public on their profile but their backend dashboard showing enquiries and listing analytics is restricted to their own data.

Set privacy rules on Enquiry to check that the current user is either the sender or the agent. Set rules on Property so draft status listings are only visible to their creator. SavedSearch and Favourite are restricted to their owning user.

What to Skip in V1

Skip home valuations and Zestimates (requires ML and massive datasets), mortgage calculators, school and neighbourhood data overlays, 3D virtual tours, MLS feed integration (complex API licensing), property history and tax records, and agent review systems. Focus on the core listing, search, and contact loop. If agents are listing properties and buyers are sending enquiries, your platform has value. Everything else is enhancement.

Cost and Timeline

A Zillow clone with map search, property listings, filters, agent profiles, and saved searches takes 6 to 9 weeks for an experienced Bubble developer. The map integration and location-based search are well-supported in Bubble but require careful setup for performance. Budget for the Google Maps API at roughly $200 per month for moderate usage (the first $200 per month is free from Google). Bubble's Growth plan at $119 per month covers the data and workflow needs.

Total first-quarter cost for DIY runs $500 to $900 including Bubble, Google Maps API, and any listing management plugins. Hiring a developer costs $7,000 to $18,000 depending on scope and the number of property types and filter combinations you need.

DIY vs Hiring a Bubble Developer

Real estate platforms have straightforward data models but complex search and map interactions. If you are comfortable with Bubble's search constraints and have worked with the Google Maps plugin before, the DIY route is viable. Where most builders struggle is synchronising the map viewport with the list search, handling geographic address types correctly, and building a smooth multi-step listing creation flow with photo management.

A professional Bubble developer will set up performant map-list synchronisation, configure geographic search constraints correctly, and build a listing flow that handles photo uploads and reordering smoothly. If you are targeting a real market with real agents, the polish of a professionally built platform makes a significant difference in agent adoption.

Ready to Build?

Related guides:

• Bubble plaid integration guide

Real estate platforms need to look professional and perform flawlessly on day one. Talk to Goodspeed Studio about building your property marketplace on Bubble with proper map integration and listing management.