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SearchJet
Enterprise Platforms

Search That Sells Real Estate

For MLS Portals, Directories & Property Platforms

Enterprise search for large listing catalogs. Geolocation filtering, complex facets, real-time indexing. Faster search usually means more inquiries. Scale without breaking your database.

The Problem

Database Search Doesn't Scale

Real estate portals live or die by search. Slow search = lost listings = lost revenue. Database-driven search breaks at scale.

⚠

Listing Search is Slow & Inflexible

Database-driven search on large property datasets kills performance. Adding price filters, location filters, or custom attributes requires backend changes that take weeks.

⚠

Users Abandon Search

Slow results, broken filters, and poor ranking push users to leave your portal. Competitors with better search capture more listings and higher commissions.

⚠

Conversion Loss at Scale

Scaling to millions of listings breaks your database. Search performance degrades, database costs skyrocket, and your competitive edge disappears.

The Solution

SearchJet for Real Estate

Enterprise search built for listings. Scale to large catalogs without database strain.

Lightning-Fast Geolocation Search

Search by radius, city, neighborhood, or coordinates. Instant results for "homes within 5 miles of downtown" queries without database load.

Complex Faceted Filtering

Price ranges, property type, bedrooms, lot size, year built, HOA status, pet policies — unlimited custom facets. Users narrow results without database strain.

Semantic Property Matching

Search "modern condo in trendy neighborhood" and find exactly that. Understand intent beyond keywords — location vibe, property style, lifestyle fit.

Real-Time Indexing

New listings appear in search within seconds of posting. Updates, price changes, and status changes sync instantly from your MLS or listing system.

Advanced Ranking & Relevance

Rank listings by relevance, price, listing age, or custom scoring. Show users the listings they actually want, boost conversions, reduce support tickets.

Zero Database Load

Search runs externally. Your database stays responsive however much search traffic you get, so you avoid scaling it just for search.

Use Cases

Proven Across Real Estate Verticals

Real Estate MLS Portals

Zillow, Realtor.com, Trulia-like platforms

Geolocation search
Price/bed/bath filters
Property type facets
Agent/office search
Saved searches

Commercial Real Estate

Office, retail, industrial listing platforms

Lease/sale filtering
Sq footage ranges
Tenant type facets
Map view integration
Investment metrics

Business Directories

Yellow pages, B2B marketplaces, service directories

Category facets
Location search
Rating filtering
Review integration
Custom attributes

Rental Platforms

Airbnb-like vacation rental and long-term rental sites

Date availability
Price per night filters
Amenity facets
Host search
Review-based ranking
Integration Options

Connect Your Listings in Minutes

MLS Direct Integration

Pull listings from your MLS feed (RETS/RESO) in a scheduled server-side script and push them to the bulk indexing endpoint

code
// Your own sync script (e.g. a nightly cron job), server-side only
const listings = await fetchListingsFromMls(); // your MLS/RETS client

const response = await fetch(
  'https://app.searchjetengine.com/api/v1/index/bulk',
  {
    method: 'POST',
    headers: {
      // Private key: keep it in an env var, never in browser code
      'Authorization': 'Bearer ' + process.env.SEARCHJET_PRIVATE_KEY,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      documents: listings.map(listing => ({
        id: String(listing.ListingKey),
        title: listing.StreetAddress,
        content: listing.PublicRemarks,
        url: 'https://example.com/listings/' + listing.ListingKey,
        type: 'listing',
        // Custom fields are stored with the document
        price: listing.ListPrice,
        beds: listing.BedroomsTotal,
        baths: listing.BathroomsTotalInteger,
        sqft: listing.LivingArea,
        propertyType: listing.PropertyType,
        status: listing.Status
      }))
    })
  }
);
const { taskUid } = await response.json();

REST API Batch Upload

Bulk upload listings to POST /index/bulk. Upsert mode updates listings that already exist and creates new ones

code
// Batch index listings (server-side)
const response = await fetch(
  'https://app.searchjetengine.com/api/v1/index/bulk',
  {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer ' + process.env.SEARCHJET_PRIVATE_KEY,
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      documents: listings, // [{ id, title, content, url, ... }]; an existing id is replaced
    })
  }
);
const { taskUid } = await response.json();

Webhook Real-Time Sync

Point your listing system's webhooks at your own endpoint, which forwards each change to SearchJet

code
// Your own webhook endpoint (Express)
app.post('/webhooks/listings', async (req, res) => {
  const { event, listing } = req.body;

  if (event === 'listing.created' || event === 'listing.updated') {
    await fetch('https://app.searchjetengine.com/api/v1/index/bulk', {
      method: 'POST',
      headers: {
        'Authorization': 'Bearer ' + process.env.SEARCHJET_PRIVATE_KEY,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        documents: [{
          id: String(listing.id),
          title: listing.address,
          content: listing.description,
          url: listing.url,
          price: listing.price,
          status: listing.status
          // ... other fields
        }]
      })
    });
  }

  res.sendStatus(200);
});
Illustrative Example

Real Estate Search Performance

Illustrative example of a listings portal moving off database search. Your results will vary.

MetricBeforeAfterImpact
Search Response TimeSeconds<150msFewer bounces
Database Queries/SearchSeveral per searchNoneSearch load off your database
Listing Conversion RateBaselineMore listings foundMore inquiries likely
Support Tickets"I can't find..." ticketsFewerFewer search-related tickets

Real Estate Search Example

Complex query combining location, price, and property attributes:

search-query.js
// Real estate search with filters. Safe to run in the browser
// with a SEARCH key (never the private key).
// price, beds, baths, propertyType and status must be marked filterable
// in your index settings, otherwise the API returns INVALID_FILTER.
const params = new URLSearchParams({
  q: 'modern home near downtown',
  filters: 'price >= 200000 AND price <= 800000 AND beds >= 3 AND baths >= 2 ' +
    'AND propertyType IN ["Single Family", "Condo"] AND status = "Active"',
  sort: 'date:desc', // Newest first
  limit: '20'
});

const res = await fetch(
  'https://app.searchjetengine.com/api/v1/search?' + params,
  { headers: { 'Authorization': 'Bearer YOUR_SEARCH_KEY' } }
);
const data = await res.json();

// Returns:
// - data.results: array of matching listings (id, title, url, price, ...)
// - data.facet_distribution: facet counts (50 Single Family homes, 30 Condos, etc.)
// - data.total: total matches
// - data.processing_time_ms: server-side search time

Frequently Asked Questions

Enterprise support for real estate platforms

How do I handle geolocation filtering?
SearchJet supports geographic queries natively. Index properties with lat/lng coordinates, then query with "homes within 5 miles of [lat, lng]" or "properties in neighborhood X". Instant results without PostGIS or geo-database complexity.
Can SearchJet handle millions of listings?
Yes. SearchJet runs on Meilisearch, which is built for large indexes, and your database stays responsive regardless of listing count or search volume. Plans are sized by monthly searches and indexed documents; very large catalogs go on a custom Enterprise plan.
How do I keep search index in sync with MLS feeds?
Three options: (1) a scheduled script that pulls your MLS RETS feed and sends it to the bulk indexing endpoint, (2) webhooks from your listing system to your own endpoint, which forwards changes for real-time updates, or (3) a daily batch upload. Combining a webhook with a daily batch gives you redundancy.
Do you support custom ranking algorithms?
Yes. Customize ranking by listing age, price, days-on-market, agent rating, or any custom field. Boost specific listings, demote bad matches, or create custom scoring logic.
How do we integrate with our map view?
SearchJet returns coordinates with search results. Use any mapping library (Google Maps, Mapbox, Leaflet) to display results on a map. Filter/sort results and map updates in real-time.
What about handling expired or delisted properties?
Index listing status as a field and mark it filterable in your index settings, then filter on it at query time (for example status = "Active") to exclude expired listings. When a listing changes status, upsert it again with the new status.

Ready to Transform Your Real Estate Platform?

See how enterprise search can lift inquiries and reduce database costs at scale.

Enterprise support included. Talk to sales for custom pricing.