How to Use Real Estate Web Scraping to Gain Valuable Insights
Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
We offer a data collection service for one of the most analytics-rich property platforms in the UK. Using a Zoopla scraper, we collect everything from active listings to sold property records and valuation estimates. This helps you track trends, analyze neighborhoods, and make informed decisions in the UK housing market.
You don’t need to run any scripts or learn APIs. We scrape Zoopla data for you and turn it into ready-to-use results. We extract only the fields you need, whether it’s prices, addresses, sale history, or Zoopla Estimates.
The data is exported in CSV, Excel, or JSON. It’s suitable for one-time analysis or regular database updates. We work fast and adapt to your needs. You describe the task — we deliver clean, organized data.
The Zoopla scraper collects core listing information essential for housing platforms, research, and automation:
This structured dataset forms a reliable foundation for decision-making, listing comparison, and market tracking.
In addition to standard listing fields, we can collect a wide range of extended property and location data:
This kind of layered data helps you understand more than just price and size — it reveals context, infrastructure, and market behavior.
Zoopla is a major property platform in the UK, accessible via zoopla.co.uk. Launched in 2007, the site is used by millions of buyers, renters, and agents. It covers listings across England, Scotland, Wales, and Northern Ireland, with both sale and rental properties available.
Zoopla stands out for combining listings with market data — including historical sale prices, local demand trends, and property valuations known as Zoopla Estimates.
All listings are shown in GBP. The platform is in English and uses UK-specific terms like postcodes and council tax bands. Real-time listings and detailed context make Zoopla useful for both individual users and businesses in the UK housing market.
Get a QuoteDevelopers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Zoopla — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
Zoopla offers more than just property listings. It includes verified prices, market history, and local insights. But getting this data manually is time-consuming and limited.
We scrape Zoopla data for you and deliver structured information across thousands of listings — ready to use in your workflow.
You can use this data to:
You don’t need to scrape or process anything yourself. We handle the extraction — you get clean, ready-to-use housing data.
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Real estate web scraping: a powerful tool for data collection and analysis. Learn how to choose the right data collection method and benefit from real estate web scraping
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ScrapeIt is a data services company that helps businesses collect clean, structured information from digital platforms.
We don’t offer scraping tools or APIs. We handle the entire process for you — including setup, extraction, and formatting. We’ve worked with housing data across multiple platforms and volumes. You get results quickly, with no manual effort on your side.
No. We take care of all the parsing and formatting. You receive clean, ready-to-use data.
Yes. Just tell us which postcodes you want included, and we’ll extract only listings from those areas.
Zoopla doesn’t display public user reviews, but if agent-related reputation data is shown, we can extract it.
Yes. If available, we’ll include property valuations and previous sale prices with each listing.
Yes. Our extractor can target listings within any UK city or town — just specify the location you need.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
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