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Zoopla.co.uk Scraper

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Zoopla.co.uk Scraper

Zoopla.co.uk Scraper

dhrumil/zoopla-scraper
Try for free

3 days trial then $30.00/month - No credit card required now

Scrape Zoopla.co.uk to crawl millions of sale/rent real estate properties from United Kingdom. Our real estate scraper also lets you monitor specific listing for new updates/listing. You can provide multiple search result listings to scrape/monitor.

You can access the Zoopla.co.uk 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/for-sale/property/london/ec4/fleet-street-temple-blackfriars-st-pauls/?beds_min=4&q=ec4&radius=0.25&results_sort=newest_listings&search_source=for-sale" }],
10    "proxy": { "useApifyProxy": False },
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("dhrumil/zoopla-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Zoopla.co.uk Scraper API in Python

The Apify API client for Python is the official library that allows you to use Zoopla.co.uk Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 10 monthly users

  • 4 stars

  • >99% runs succeeded

  • 0.2 hours response time

  • Created in Dec 2022

  • Modified 12 days ago