Searchland charges £195/seat.
We start free.

import requests
from concurrent.futures import ThreadPoolExecutor

API_KEY = "YOUR_API_KEY"
BASE = "https://api.homedata.co.uk"
HEADERS = {"Authorization": f"Api-Key {API_KEY}"}

def site_due_diligence(address_query: str) -> dict:
    # Step 1 — resolve address to UPRN
    find = requests.get(f"{BASE}/api/address/find/",
        params={"q": address_query, "limit": 1}, headers=HEADERS)
    uprn = find.json()["suggestions"][0]["uprn"]
    postcode = find.json()["suggestions"][0]["postcode"]

    # Step 2 — fetch flood risk, planning, and EPC concurrently
    def get_flood():
        return requests.get(f"{BASE}/api/risks/flood/",
            params={"uprn": uprn}, headers=HEADERS).json()

    def get_planning():
        return requests.get(f"{BASE}/api/planning/search/",
            params={"postcode": postcode, "limit": 10}, headers=HEADERS).json()

    def get_epc():
        return requests.get(f"{BASE}/api/epc-checker/{uprn}/",
            headers=HEADERS).json()

    with ThreadPoolExecutor(max_workers=3) as ex:
        flood_f = ex.submit(get_flood)
        planning_f = ex.submit(get_planning)
        epc_f = ex.submit(get_epc)

    return {
        "uprn": uprn,
        "flood_risk": flood_f.result()["results"][0]["properties"]["description"],
        "planning_nearby": planning_f.result()["count"],
        "epc_score": epc_f.result().get("current_energy_efficiency"),
    }

result = site_due_diligence("10 Downing Street, London")
# {"uprn": 10022874092, "flood_risk": "Very Low probability...",
#  "planning_nearby": 8, "epc_score": 74}