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GET /api/live-listings/search/ Elasticsearch-powered Growth plan required

Live UK Property Listings via REST — Updated Daily from Major Portals

Search current UK property listings — updated daily, backed by 30 years of Home.co.uk data collection. Filter by boundary, price range, bedrooms, and transaction type. Paginated results with instant Elasticsearch performance — typically under 50ms.

Free tier: 100 requests/month. No credit card required.

Search listings instantly

One endpoint — filter by boundary, transaction type, price, bedrooms, and sort by date or price. Paginated with up to 200 results per page.

UK-wide coverage — backed by Home.co.uk's 30-year dataset
Boundary filtering — search within any geographic area
Sale and rental listings with status tracking
Sortable by price or date (ascending/descending)
Elasticsearch-backed — sub-50ms response times
Request
curl -G "https://api.homedata.co.uk/api/live-listings/search/" \
  --data-urlencode "transaction_type=Sale" \
  --data-urlencode "bedrooms=3" \
  --data-urlencode "max_price=400000" \
  --data-urlencode "page=1" \
  -H "Authorization: Api-Key YOUR_API_KEY"
Response 200 OK
{
  "count": 1547,
  "page": 1,
  "page_size": 200,
  "total_pages": 8,
  "results": [
    {
      "id": "a3f2e1d4-...",
      "listing_id": "R152849384",
      "property_uprn": 100022612238,
      "display_address": "High Street, Norwich NR1",
      "latest_price": 350000,
      "bedrooms": 3,
      "bathrooms": 2,
      "transaction_type": "Sale",
      "latest_status": "For Sale",
      "added_date": "2025-02-14T10:30:00Z",
      "source": "Home.co.uk",
      "listing_property_type": "Terraced"
    }
    // ... more listings
  ]
}

Query parameters

All parameters are optional. Combine them to narrow your search.

Parameter Type Default Description
boundary_id integer Filter by geographic boundary ID. Use the boundaries endpoint to find IDs.
transaction_type string Sale or Rental
bedrooms integer Exact number of bedrooms
min_price integer Minimum price in GBP
max_price integer Maximum price in GBP
page integer 1 Page number for pagination
page_size integer 200 Results per page. Max 200.
sort string -added_date added_date, -added_date, latest_price, -latest_price. Prefix - for descending.

Response fields

Each listing includes the core data points you need for property intelligence.

Pagination

Field Type Description
count integer Total matching listings
page integer Current page number
page_size integer Results per page
total_pages integer Total available pages

Each listing

Field Type Description
listing_id string Portal listing ID (e.g. R152849384)
property_uprn integer Unique Property Reference Number — use this to enrich with the UPRN Lookup or Comparables endpoints
display_address string Listing address as displayed on portal
latest_price integer Latest asking price in GBP
bedrooms integer Number of bedrooms
bathrooms integer Number of bathrooms
transaction_type string Sale or Rental
latest_status string For Sale, Sold STC, Under Offer, etc.
added_date datetime When listing first appeared
source string The originating property portal
listing_property_type string Detached, Semi-Detached, Terraced, Flat, etc.

UK-wide listings, one endpoint

30 years of continuous UK property listing data through Home.co.uk, normalised into a single consistent schema.

📊

Multi-portal coverage

UK property listings aggregated and deduplicated — backed by 30 years of Home.co.uk data collection.

🏠

30 years of Home.co.uk

Built on three decades of UK property data collection through Home.co.uk — one of the UK's longest-running property data platforms.

Normalised schema

Consistent field names, types, and formats regardless of source portal. No per-portal mapping needed in your code.

Who uses live listings data

Live listing data powers everything from market analysis to automated pricing tools.

📊

Market intelligence

Track new listings, price changes, and time on market across any area. Build real-time dashboards for agents and investors.

🏠

Property search apps

Power a property search experience without scraping. Filter by boundary, price, and bedrooms — all from a single API call.

🔔

Alert systems

Monitor new listings in specific areas. Poll periodically, compare against last seen results, and notify users when matches appear.

💰

Pricing tools

Compare active asking prices against recent sold prices from the comparables endpoint. Spot overpriced or underpriced listings automatically.

Practical patterns

Common integrations in production.

Paginate through all results

Python — iterate all pages
import requests

page = 1
all_listings = []
while True:
    resp = requests.get(
        "https://api.homedata.co.uk/api/live-listings/search/",
        params={"transaction_type": "Sale", "bedrooms": 3, "page": page},
        headers={"Authorization": "Api-Key YOUR_API_KEY"},
    ).json()
    all_listings.extend(resp["results"])
    if page >= resp["total_pages"]:
        break
    page += 1

print(f"Fetched {len(all_listings)} listings across {page} pages")

Combine with comparables

JavaScript — asking vs sold price analysis
// Get active listings in an area
const listings = await fetch(
  `https://api.homedata.co.uk/api/live-listings/search/?boundary_id=14624&transaction_type=Sale`,
  { headers: { "Authorization": "Api-Key YOUR_API_KEY" } }
).then(r => r.json());

// For each listing, get comparable sold prices
for (const listing of listings.results.slice(0, 5)) {
  const comps = await fetch(
    `https://api.homedata.co.uk/api/comparables/${listing.property_uprn}/`,
    { headers: { "Authorization": "Api-Key YOUR_API_KEY" } }
  ).then(r => r.json());

  const soldPrices = comps.comparables
    .filter(c => c.sold_let_price)
    .map(c => c.sold_let_price);
  const avgSold = soldPrices.reduce((a, b) => a + b, 0) / soldPrices.length;
  const premium = ((listing.latest_price - avgSold) / avgSold * 100).toFixed(1);
  console.log(`${listing.display_address}: asking ${premium}% vs comps`);
}

Get your free API key

100 requests/month on the free tier. No credit card. From signup to your first listing search in under 5 minutes.