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
Houzz is where millions go to plan, design, and build better homes — from renovation ideas to contractor portfolios and product sourcing. Our Houzz scraper helps you access this rich ecosystem of data: photos, professionals, and product insights, all structured and ready for use in your own tools, research, or platforms.
With our service to scrape Houzz data, you get exactly what you need — not just listings, but organised content tied to real professionals, brands, styles, and spaces. We extract information based on your criteria and deliver it structured, filtered, and cleaned.
You don’t need to build anything yourself. We handle the full process — from parsing and filtering to final delivery — in CSV, Excel, JSON, or any other convenient format.
We gather the essentials that make Houzz unique: every photo in an ideabook, associated tags (room type, style, and materials), product details featured in images, and the professional or company credited for the project. From there, we pull visible listing information — such as project descriptions, featured products, and contractor names — delivering clean, structured records you can analyse or integrate.
Beyond the obvious, the Houzz scraper captures indicators like how many times a photo has been saved, designer engagement through comments or questions, and detailed project metadata such as location tags or ideabook depth. This adds valuable context — helping you understand not just what’s published, but how users interact with content across the Houzz platform.
Houzz is a global platform for home renovation, interior design, and professional sourcing — combining inspiration, service providers, and products in one place. Founded in 2009 in Palo Alto, it has grown into a widely used ecosystem for homeowners, architects, builders, and interior designers.
The platform operates localized versions in over a dozen countries, including the United States, United Kingdom, Canada, Australia, Germany, France, Italy, Spain, Sweden, Denmark, Russia, Japan, and more. Each version runs under a dedicated top-level domain — such as houzz.com, houzz.co.uk, houzz.de, houzz.fr, houzz.it, or houzz.jp — with content tailored to the local market.
Houzz supports multiple languages, depending on the country version — including English, German, French, Italian, Spanish, Swedish, Japanese, and Russian. Product listings and service pricing are displayed in the local currency: USD, GBP, EUR, CAD, AUD, JPY, etc.
What sets Houzz apart is how it blends editorial inspiration, practical tools, verified professionals, and shopping in a single user journey.
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Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for Houzz — 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
The value of Houzz isn’t just in what’s visible — it’s in how everything connects: photos, products, professionals, and user behavior. When we scrape Houzz data, we capture this entire ecosystem in a structured form, ready for trend tracking, lead generation, platform enrichment, or design research.
This is especially valuable for marketplaces, product brands, home improvement services, and analysts who want clear insight into how people plan, shop, and collaborate around home design.
Learn how to use web scraping to solve data problems for your organization
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
Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
At ScrapeIt, we provide fully managed data extraction built around your needs. You tell us what to collect, and we take care of the parsing, structuring, and delivery — clean, accurate, and aligned with your goals.
Whether you're enriching a product database, powering a design search engine, or studying market trends, we make web data work for you — without the technical hassle.
ScrapeIt extracts data from a wide range of platforms — including e-commerce, housing and renovation portals like Houzz, as well as automotive, job, and real estate listing sites.
Yes. If location details are available, we can filter and export data by city, ZIP code, or regional tags included in the listings.
Where visible, our extractor captures hourly rates, consultation fees, and listed prices for specific design or contractor services.
Yes, we can extract public reviews, business addresses, and profile-level contact details for architects, designers, and contractors featured on Houzz.
Absolutely. By scraping structured content like photos, tags, and descriptions, we help you analyse housing trends and property styles across different cities and project types.
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.
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