Rightmove

Rightmove Sold Property API

One sold address in England or Wales: every recorded sale with exact price, date, tenure, new-build flag and percent change since the previous sale, the postcode and coordinates, and the archived last listing (beds, baths, key features, photos, floorplans, advertised dates, nearest stations) when the address was listed on Rightmove. Costs 1 credit per request.

POST/api/v1/rightmove/sold-property

Authorizations

Authorizationstringheaderrequired

Bearer authentication header of the form Bearer <token>, where <token> is your Scavio API key (e.g. Bearer sk_live_your_key).

Body

application/json

sold_idstring

sold_id from Sold Prices. Pass this or url.

Example: 921d33f4-d206-4991-be4d-75cbe71981ce

urlstring

A rightmove.co.uk/house-prices/details/<id> URL. Alternative to sold_id.

Example: https://www.rightmove.co.uk/house-prices/details/921d33f4-d206-4991-be4d-75cbe71981ce

Notes

England and Wales only, back to 1995. Sale history covers addresses in England and Wales; data_coverage gives the date range. last_listing is null when the address was never advertised on Rightmove. An unknown sold_id is a 404 and costs 1 credit.

Request

from scavio import ScavioClient

client = ScavioClient(api_key="sk_live_your_key")

res = client.rightmove.sold_property(sold_id="921d33f4-d206-4991-be4d-75cbe71981ce")
p = res["data"]

print(p["address"], p["postcode"], p["property_type"])
for t in p["transactions"]:
    print(t["date"], t["price"], t["tenure"], t["percent_change"])

Response

"sold_id": "921d33f4-d206-4991-be4d-75cbe71981ce",

"url": "https://www.rightmove.co.uk/house-prices/details/921d33f4-d206-4991-be4d-75cbe71981ce",

"address": "54, Mendip Road, Bedminster, Bristol BS3 4NY",

"postcode": "BS3 4NY",

"country": "ENGLAND",

"property_type": "Terraced",

"latitude": 51.4373,

"longitude": -2.59675,

"response_time": 2779

}

from scavio import ScavioClient client = ScavioClient(api_key="sk_live_your_key") res = client.rightmove.sold_property(sold_id="921d33f4-d206-4991-be4d-75cbe71981ce") p = res["data"] print(p["address"], p["postcode"], p["property_type"]) for t in p["transactions"]: print(t["date"], t["price"], t["tenure"], t["percent_change"])