Prices & transactions

{
  "count": 1,
  "results": [
    {
      "uprn": "100023336956",
      "address": "14 Maple Avenue, Bristol BS8 3AJ",
      "property_type": "Semi-detached",
      "bedrooms": 4,
      "tenure": "Freehold",
      "property_sale_events": [
        {
          "event_type": "Added",
          "date": "2024-01-12",
          "price": 595000,
          "source": "Home.co.uk",
          "agent": "Savills Bristol"
        },
        {
          "event_type": "Price Changed",
          "date": "2024-02-28",
          "price": 575000,
          "source": "Home.co.uk",
          "agent": null
        },
        {
          "event_type": "Under Offer",
          "date": "2024-03-15",
          "price": null,
          "source": "Home.co.uk",
          "agent": null
        },
        {
          "event_type": "Sold STC",
          "date": "2024-03-22",
          "price": null,
          "source": "Home.co.uk",
          "agent": null
        },
        {
          "event_type": "Completed",
          "date": "2024-05-28",
          "price": 558000,
          "source": "Land Registry",
          "agent": null
        }
      ],
      "property_listings": [
        {
          "listing_id": "142857",
          "agent": "Savills Bristol",
          "first_listed": "2024-01-12",
          "last_updated": "2024-05-28",
          "bedrooms": 4,
          "display_address": "Maple Avenue, Clifton"
        }
      ]
    }
  ]
}

# cURL
curl "https://api.homedata.co.uk/property_sales/?uprn=100023336956" \
  -H "Authorization: Api-Key YOUR_KEY"

# Python
import requests

resp = requests.get(
    "https://api.homedata.co.uk/property_sales/",
    params={"uprn": "100023336956"},
    headers={"Authorization": "Api-Key YOUR_KEY"}
)
sales = resp.json()["results"]
for event in sales[0]["property_sale_events"]:
    print(f"{event['event_type']}: £{event['price']}")

// JavaScript
const res = await fetch(
  "https://api.homedata.co.uk/property_sales/?uprn=100023336956",
  { headers: { "Authorization": "Api-Key YOUR_KEY" } }
);
const { results } = await res.json();
results[0].property_sale_events.forEach(e =>
  console.log(`${e.event_type}: £${e.price}`)
);

# cURL
curl https://api.homedata.co.uk/price_trends/SW1A/ \
  -H "Authorization: Api-Key YOUR_KEY"

# Python
import requests

resp = requests.get(
    "https://api.homedata.co.uk/price_trends/SW1A/",
    headers={"Authorization": "Api-Key YOUR_KEY"}
)
data = resp.json()
for month in data["trends"]:
    print(f"{month['month']}: £{month['median_price']}")

// JavaScript
const res = await fetch(
  "https://api.homedata.co.uk/price_trends/SW1A/",
  { headers: { "Authorization": "Api-Key YOUR_KEY" } }
);
const data = await res.json();
data.trends.forEach(m =>
  console.log(`${m.month}: £${m.median_price}`)
);

# cURL
curl https://api.homedata.co.uk/price_distributions/BS8/ \
  -H "Authorization: Api-Key YOUR_KEY"

# Python
import requests

resp = requests.get(
    "https://api.homedata.co.uk/price_distributions/BS8/",
    headers={"Authorization": "Api-Key YOUR_KEY"}
)
for bin in resp.json()["bins"]:
    print(f"{bin['range']}: {bin['count']} listings")

// JavaScript
const res = await fetch(
  "https://api.homedata.co.uk/price_distributions/BS8/",
  { headers: { "Authorization": "Api-Key YOUR_KEY" } }
);
const { bins } = await res.json();
bins.forEach(b =>
  console.log(`${b.range}: ${b.count} listings`)
);

GET /property_sales/?uprn=100023336956