Pricing

$25.00/month + usage

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ZOOPLA | Buy | Rent | Sell | House Price | Agent | UPRN Scraper

Try for free

Your key to mastering UK real estate data. Get instant access to Zoopla's extensive property listings, complete with pricing, features, and agent details. Perfect for market analysis, lead generation, and property research.

Pricing

$25.00/month + usage

Rating

5.0

(5)

Developer

Muhamed Didovic

Actor stats

Bookmarked

Total users

Monthly active users

2 months ago

Last modified

Categories

Real estate

Lead generation

Automation

You can access the ZOOPLA | Buy | Rent | Sell | House Price | Agent | UPRN 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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    "startUrls": [{ "url": "https://www.zoopla.co.uk/to-rent/houses/yorkshire-and-the-humber/?price_frequency=per_month&property_sub_type=bungalow&property_sub_type=detached&q=Yorkshire%20&search_source=to-rent" }],
10    "proxy": {
11        "useApifyProxy": True,
12        "apifyProxyGroups": ["RESIDENTIAL"],
13    },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("memo23/zoopla-cheerio-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

ZOOPLA | Buy | Rent | Sell | House Price | Agent | UPRN Scraper API in Python

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