
Fast Zoopla Properties Scraper
Pricing
$1.00 / 1,000 results

Fast Zoopla Properties Scraper
Scrape houses and flats for sale and to rent from zoopla.co.uk in a couple of seconds.
4.8 (4)
Pricing
$1.00 / 1,000 results
1
Monthly users
6
Runs succeeded
>99%
Last modified
4 months ago
You can access the Fast Zoopla Properties 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 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 = { "startUrls": [
9 { "url": "https://www.zoopla.co.uk/for-sale/property/london/?q=London&results_sort=newest_listings&search_source=for-sale" },
10 { "url": "https://www.zoopla.co.uk/for-sale/details/65671981/" },
11 ] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("tri_angle/fast-zoopla-properties-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
Fast Zoopla Properties Scraper API in Python
The Apify API client for Python is the official library that allows you to use Fast Zoopla 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:
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$1.00