![Zoopla.co.uk Scraper avatar](https://images.apifyusercontent.com/SAg4k8Gc3YirykR8BJrEFyPLlFnCQQq1_EEqx19QMVA/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS90ZU9qODVEZ1lBUVNaVUtlSi9GZGhCM1NDQnplV29MVzdUTi16b29wbGEucG5n.webp)
Zoopla.co.uk Scraper
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View all Actors![Zoopla.co.uk Scraper](https://images.apifyusercontent.com/SAg4k8Gc3YirykR8BJrEFyPLlFnCQQq1_EEqx19QMVA/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS90ZU9qODVEZ1lBUVNaVUtlSi9GZGhCM1NDQnplV29MVzdUTi16b29wbGEucG5n.webp)
![Zoopla.co.uk Scraper](https://images.apifyusercontent.com/SAg4k8Gc3YirykR8BJrEFyPLlFnCQQq1_EEqx19QMVA/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS90ZU9qODVEZ1lBUVNaVUtlSi9GZGhCM1NDQnplV29MVzdUTi16b29wbGEucG5n.webp)
Zoopla.co.uk Scraper
dhrumil/zoopla-scraper
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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.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "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" }],
9 "proxy": {
10 "useApifyProxy": True,
11 "groups": ["RESIDENTIAL"],
12 },
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("dhrumil/zoopla-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
Developer
Maintained by Community
Actor metrics
- 4 monthly users
- 2 stars
- 100.0% runs succeeded
- 0.13 hours response time
- Created in Dec 2022
- Modified 21 days ago
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