The most complete and advanced AI-powered real estate scraper, anti-ban, and headless browser solution on the market.
The most cost-effective and powerful real estate scraper available today.
From $2 /10.000 requests
ML-powered real estate scraper API that automatically parses and converts real estate websites into structured real estate data without any need for you to supply selectors or rules.
Ideal for real estate websites where you need the standard information but don’t want to build rules-based scrapers.
From $6 /10.000 requests
Don’t waste time web scraping the same real estate websites we already do on a regular basis.
The fastest way to get rock solid, reliable to scrape real estate data.
From $450 /month
Major real estate listings collect and display a variety of property-related information, including; descriptions, image URLs, location, history, and pricing, for multiple types of real estate data, including homes, condos, apartments, and more.
The real estate data on these real estate websites are valuable, but scraping real estate data is challenging due to their size and highly interactive features.
To overcome this, you need real estate web scraping technology that can automatically configure to be cost-effective for every real estate website or a web scraping company with decades of experience delivering this property data at scale.
Local and specialist real estate websites are crucial components of the overall real estate industry.
From specialized property websites to individual company pages, there are countless sources of valuable property data available.
Just some of the different types of real estate websites to scrape real estate data from include:
We probably already extract property data from your target real estate website and can offer the property data you need in a standardized schema that will make your life easier and save you time and money.
Zyte API is the ultimate web scraping API, designed for the real estate market to automatically avoid bans in the most cost-effective way possible saving you time and money at every stage of your scraping real estate data project.
The real estate market has trends and dynamics in different areas you can uncover with web scraping property data and use to inform your decisions around the real estate industry including identifying investment opportunities.
Scraping real estate websites allows you to analyze property listings data to identify areas of high demand for real estate and low competition.
Real estate agents can use fresh real estate data to determine the most appropriate pricing for properties based on factors such as location, property type, and supply and demand.
Use property details data to create more effective property listings by including additional relevant details.
As the global leader for 12+ years, Zyte has developed the expertise, processes and technology that guarantees success for our clients.
Our dedicated customer success managers partner with your team to ensure best-in-class advice and web scraping results - guaranteeing quality and performance with 24/7 monitoring and support.
Different name. Same company. And with the same passion to deliver the world’s best data extraction service to our customers. We’ve changed our name to show that we’re about more than just web scraping tool. In a changing world Zyte is right at the cutting edge of delivering powerful, easy to use solutions that help our customers stay ahead in today’s fast-moving, data-driven world.
We offer many delivery types including FTP, SFTP, AWS S3, Google Cloud storage, email, Dropbox and Google Drive. Formats for delivery can be CSV, JSON, JSONLines or XML. We’ll work with you to determine what’s best for your project. And we’re always pleased to discuss other custom delivery or format requirements should you need them.
We have the technical capability to extract any website data. However, there are legal considerations that must be adhered to with every project, including scraping behind a login as well as compliance with Terms and Conditions, privacy, and copyright laws. When you submit your project request our solution architects and legal team will pinpoint any potential concerns in extracting data from websites and ensure that we follow web scraping best practices.
After you’ve submitted your project request, a member of our solution architecture team will quickly get in touch to set up a project discovery call. They’ll explore your requirements of data extraction from websites in detail and gather the information they need, including:
Once our architects know your requirements to extract data from webpages, they’ll propose the optimal solution - usually within a couple days - for your approval.
We specialize in data extraction solutions for projects with mission critical business requirements. And that means our top priority is always delivering high quality accurate data to our clients. To achieve this we’ve implemented a four-layer Data Quality Assurance process that continuously monitors the health of our crawls and the quality of the extracted data. This reviews all your data to identify inconsistencies, inaccuracies or other abnormalities including manual, semi-automated and automated testing.
We offer all our customers no-cost support on coverage issues, missed deliveries and minor site changes. If there’s a larger website data extraction change that requires a complete spider overhaul this may incur an additional cost.
Yes, if we have sample data available for the source you want to be scraped. If it’s a new source we haven’t crawled before we will share sample data with you following development kick-off. This occurs post purchasing. For product or news & article data, you can free trial our Automatic Extraction product via an easy-to-use user interface.
Talk to us about your requirements
Zyte’s Data Extraction services is an end-to-end solution that can help you with web content extraction. It’s the most hassle-free way to get clean structured data; quickly and accurately. But if you’re looking for a DIY option, Zyte offers web data extraction tools to make your job easier.
Data extraction is described as the automated process of obtaining information from a source like a web page, document, file or image. This extracted information is typically stored and structured to allow further processing and analysis.
Extracting data from Internet websites - or a single web page - is often referred to as web scraping. This can be performed manually by a person cutting and pasting content from individual web pages. This is likely to be time-consuming and error-prone for all but the smallest projects.
Hence, data extracting is typically performed by some kind of data extractor - a software application that automatically fetches and extracts data from a web page (or a set of pages) and delivers this information in a neatly formatted structure. This is most likely a spreadsheet or some kind of machine-readable data exchange format such as JSON or XML. This extracted data can then be used for other purposes, either displayed to humans via some kind of user interface or processed by another program.
There’s a vast amount of information out there on the Internet. Extracting and aggregating data from public-domain websites and other digital sources - also known as web data scraping - can give you a significant business edge over your competitors.
Data extracting generates insights that can help companies analyze the performance of a particular product in the marketplace, track customer sentiments expressed in online reviews, monitor the health of your brand, generate leads, or compare price information across different marketplaces.
It also gives researchers a powerful tool to study the performance of financial markets and individual companies, guide investment decisions and shape new products.
There are many non-financial uses for data extraction, such as scraping news websites to monitor the quality and accuracy of stories or to monitor trends in reporting. It’s also used to obtain information from public institutions, for example, to track contract awards and hence investigate possible corruption.
Data extraction can significantly streamline the process of getting accurate information from other websites that your own organization needs to survive and thrive.
There’s a vast range of applications and use cases for website data scraping. One popular example where data extraction is widely used comes from the world of retail and e-commerce. It’s an invaluable tool for competitor price monitoring, allowing companies – and market researchers – to monitor the pricing of rivals’ products and services. Manually tracking competitors’ prices that may change on a daily basis isn’t practical - especially if you’re monitoring the pricing of hundreds or thousands of different products. A data scraping tool automates this process, scraping pricing data from e-marketplaces and competitors’ websites quickly and reliably.