Zoopla Sold Properties Scraper
3 days trial then $30.00/month - No credit card required now
Zoopla Sold Properties Scraper
3 days trial then $30.00/month - No credit card required now
Scrape Zoopla.co.uk to crawl millions of off market real estate properties from United Kingdom. Our real estate scraper also lets you monitor specific listing for sold properties. You can provide multiple off market search result listings to scrape/monitor.
You can access the Zoopla Sold Properties Scraper programmatically from your own Python 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "listUrls": [{ "url": "https://www.zoopla.co.uk/house-prices/sw1a-1bg/?new_homes=include&view_type=list" }],
10 "threads": "3",
11 "proxy": { "useApifyProxy": False },
12 "browserWSEndpoint": "wss://scraping_browser_name:password@host",
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("dhrumil/zoopla-sold-properties-scraper").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21 print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Zoopla Sold Properties Scraper API in Python
The Apify API client for Python is the official library that allows you to use Zoopla Sold Properties Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
Actor Metrics
6 monthly users
-
2 stars
>99% runs succeeded
Created in Feb 2024
Modified 12 days ago