UK Landregistry Sold Price History Scraper
Pricing
Pay per event
UK Landregistry Sold Price History Scraper
Scrape UK Land Registry sold price data by postcode or outcode. Get structured datasets grouped by house number/street for real estate analysis, matching, and enrichment. Export in JSON/CSV/Excel. Ideal for Rightmove, Zoopla, and UK property projects.
0.0 (0)
Pricing
Pay per event
0
Total users
2
Monthly users
2
Runs succeeded
>99%
Last modified
3 days ago
You can access the UK Landregistry Sold Price History Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "postcodes": ["N16 9NH"] }9
10# Run the Actor and wait for it to finish11run = client.actor("dhrumil/uk-landregistry-sold-price-history-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startUK Landregistry Sold Price History Scraper API in Python
The Apify API client for Python is the official library that allows you to use UK Landregistry Sold Price History Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
