Zoopla Property Listings Scraper

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📋 Description

Zoopla Property Listings Scraper is a powerful Apify actor designed to extract comprehensive property data from Zoopla.co.uk, the leading UK property portal. This scraper efficiently collects property listings including prices, addresses, specifications, agent information, and high-quality images for real estate analysis, market research, property investment research, and competitive intelligence.

The actor handles pagination automatically and provides structured, clean data ready for analysis or integration into your applications. Whether you're building a property database, conducting market research, or monitoring real estate trends, this scraper delivers reliable results with minimal configuration.

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🎯 Use Cases

This scraper is ideal for various real estate and data applications:

• Real Estate Market Research — Analyze UK property prices, trends, and market conditions across different regions and property types.
• Property Investment Analysis — Collect comprehensive property data to identify investment opportunities and evaluate property values.
• Estate Agent Lead Generation — Build databases of property listings with agent contact information for business development.
• Property Comparison Tools — Aggregate listing data to create comparison platforms and property search engines.
• Academic and Data Science Projects — Obtain clean, structured property data for research and machine learning applications.
• Property Portal Development — Seed databases with existing listings when building new property platforms.
• Price Monitoring — Track price changes over time for specific areas or property types.

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🚀 Getting Started

Quick Start

1. Open the actor page on Apify
2. Click Try it out to run with default settings
3. Configure input parameters as needed
4. Click Run to start the scraping job

Prerequisites

• An Apify account with available compute units
• UK residential proxies recommended for optimal success rate (see Proxy Configuration)

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⚙️ Input Configuration

Configure the scraper using the following parameters. All parameters are optional — the scraper will use sensible defaults if not specified.

Input Schema

Parameter	Type	Required	Default	Description
startUrl	string	No	Zoopla London listings	Single Zoopla search URL to scrape. Must be a valid Zoopla.co.uk URL.
startUrls	array	No	—	Array of multiple URLs to crawl in a single run. Overrides startUrl.
results_wanted	integer	No	50	Maximum number of property listings to collect. Range: 1-500.
max_pages	integer	No	5	Maximum number of pages to scrape per URL. Each page typically contains 25 listings.
maxConcurrency	integer	No	2	Number of concurrent browser pages. Lower values increase reliability but reduce speed.
proxyConfiguration	object	No	UK Residential	Proxy settings for making requests (see below).

Example Input

{
  "startUrl": "https://www.zoopla.co.uk/for-sale/property/london/",
  "results_wanted": 100,
  "max_pages": 5,
  "maxConcurrency": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "countryCode": "GB"
  }
}

URL Examples

Get started with these URL patterns:

Search Type	URL Pattern
Properties for sale	https://www.zoopla.co.uk/for-sale/property/{location}/
Properties to rent	https://www.zoopla.co.uk/to-rent/property/{location}/
New homes	https://www.zoopla.co.uk/new-homes/for-sale/{location}/

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📊 Output Structure

The scraper returns a comprehensive JSON array containing detailed property information. Each listing includes multiple data points for complete property analysis.

Data Fields

Field	Type	Description
listingId	string	Unique Zoopla listing identifier
url	string	Direct URL to the property listing page
title	string	Property title or listing headline
price	number	Asking price in numeric format (GBP)
priceValue	number	Numeric price value for calculations
priceCurrency	string	Currency code (always "GBP")
priceText	string	Formatted price string (e.g., "£325,000")
address	string	Full property address
postalCode	string	UK postal code
locality	string	Town or city name
beds	number	Number of bedrooms
baths	number	Number of bathrooms
propertyType	string	Property type (Flat, House, Bungalow, etc.)
description	string	Full property description text
image	string	URL to main property image
agentName	string	Listing estate agent or property developer
source	string	Data extraction method identifier
scrapedAt	string	ISO 8601 timestamp of extraction

Example Output

[
  {
    "listingId": "72064206",
    "url": "https://www.zoopla.co.uk/for-sale/details/72064206/",
    "title": "2 bed flat for sale",
    "price": 325000,
    "priceValue": 325000,
    "priceCurrency": "GBP",
    "priceText": "£325,000",
    "address": "Birdhurst Rise, South Croydon CR2",
    "postalCode": "CR2",
    "locality": "London",
    "beds": 2,
    "baths": 1,
    "propertyType": "Flat",
    "description": "Stunning two-bedroom first-floor period conversion apartment with original features throughout.",
    "image": "https://lid.zoocdn.com/u/2400/1800/a1b2c3d4.jpg",
    "agentName": "Barnard Marcus",
    "source": "json-ld",
    "scrapedAt": "2026-01-07T11:00:00.000Z"
  }
]

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🔧 Proxy Configuration

Proper proxy configuration is essential for reliable data extraction. Zoopla implements protection measures that require appropriate proxy setup.

Recommended Configuration

{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "countryCode": "GB"
  }
}

Proxy Type Comparison

Proxy Type	Success Rate	Notes
UK Residential	High	Recommended for best results
Residential (other)	Medium	May work with reduced success
Datacenter	Low	Not recommended, high failure rate
No proxy	Very Low	Will likely fail

Important: Residential proxies with UK (countryCode: "GB") geolocation provide the highest success rate. Using datacenter proxies or proxies without country specification will significantly reduce reliability.

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⚡ Performance Tips

Optimize your scraping runs with these recommendations:

• Limit results per run: For best reliability, keep results_wanted under 200 listings
• Reduce concurrency: Lower maxConcurrency to 1-2 for improved success rate
• Balance pages and results: Fewer pages with more results per page is more efficient
• Monitor usage: Large scraping jobs consume more compute units

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❓ Frequently Asked Questions

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🛠️ Troubleshooting

Common Issues and Solutions

Request Blocked or Access Denied

• Verify proxy configuration uses UK residential proxies
• Reduce maxConcurrency to 1
• Decrease results_wanted and max_pages
• Wait several minutes before retrying

Empty or Incomplete Data

• Some fields may be empty if not provided by the listing
• Zoopla listings vary in completeness
• The scraper captures all available data for each property

Timeout Errors

• Reduce the number of concurrent requests
• Limit results_wanted to a smaller number
• Increase timeout settings in your Apify run configuration

Slow Performance

• Increase maxConcurrency (up to 5) for faster scraping
• Reduce max_pages if not all pages are needed
• Consider running multiple smaller jobs instead of one large job

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📈 Related Actors

Explore other Apify actors for extended functionality:

• Rightmove Scraper — Extract Rightmove property listings
• OnTheMarket Scraper — Collect OnTheMarket property data
• UK Property Data Aggregator — Combine multiple UK property sources

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📄 Changelog

Version 2.1.0

• Enhanced data extraction with improved field coverage
• Optimized pagination handling for large result sets
• Better error recovery and retry mechanisms
• Improved output data structure

Version 2.0.0

• Major architecture improvements
• Enhanced data completeness
• Improved reliability and error handling

Version 1.0.0

• Initial release
• Basic property data extraction

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📝 License

This project is licensed under the ISC License. See the LICENSE file for details.

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🤝 Support and Contributing

Getting Help

• Check the Apify documentation for platform guides
• Review the Troubleshooting section above
• Search existing issues on the GitHub repository

Contributing

Contributions are welcome! Please feel free to submit issues and pull requests on the GitHub repository.

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