Houzz Scraper

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.

Houzz Scraper
Solutions

Houzz Data Scraper

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.

Core Data Collected with the Houzz Scraper

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.

Core Data Collected with the Houzz Scraper
Additional Houzz Details We Capture

Additional Houzz Details We Capture

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.

About Houzz

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.

Get a Quote
dev_w

25

Developers

customers

90

Customers

pages

60 000 000

Pages extracted

stime

3500

Hours saved for our clients

Price

Pricing for Houzz Data Scraping

Customized scraping setup for Houzz — faster and cheaper than building a solution from scratch.

Plans:
Plan:
Airplane
Helicopter
Helicopter Pro
Glasses
Glasses Pro
Best Choice
Microscope
DNA
Fee 1st month ?Fee includes setup and a data sample
199 €
499€
499€
499€
499€
499€
799€
Fee 2nd month ?Fee starting from the 2nd month onward.
-
169€
199€
229€
289€
349€
549€
Free project assessment
+
+
+
+
+
+
+
Custom requirements
+
+
+
+
+
+
+
Prescrape sourse filtering ?The range of scraped data will be narrowed down based on the requirements.
+
+
+
+
+
+
+
Test data ?"Data example" is a pre-generated dataset, usually not up-to-date, intended to showcase what parameters can be scraped, its format, final file structure, etc. It is refreshed once a quarter and provided "as-is". The cost is not subtracted from the first month's fee.

"Sample dataset" is a bespoke, freshly scraped subset comprising up to 10% of the anticipated data volume. It's fully customized to meet clients' requirements and formatting needs. The sample dataset is included in most plans, with its cost deducted from the first month's fee.
data example
10% dataset
10% dataset
10% dataset
10% dataset
10% dataset
10% dataset
Frequency ?The number of times the dataset is to be delivered during the billing period (month).
one-time
monthly
bi-monthly
weekly
3 times weekly
daily
3 times daily
Data limits(rows) ?The maximum number of unique data rows covered by the plan.
100 000
250 000
500 000
1 000 000
1 500 000
2 000 000
3 000 000
Data quality checks?The forms of quality assurance implemented to ensure data accuracy and quality standards.
manual
automated
automated
automated
automated
automated and manual
automated and manual
Scraping session duration ?The time frame (working days) designated for dataset acquisition.
up to 5 days
up to 5 days
up to 5 days
up to 3 days
same day
same day
same day
Postscrape data processing ?Enhanced forms of processing the scraped data (i.e. transformation, matching, enrichment, etc).
paid separately
+
+
+
+
+
+
Output formats
CSV, JSON, XLSX
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
any text-compatible format
Delivery options
e-mail, FTP pick up
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
e-mail, FTP, S3, client's storage
any
any
Data storing period ?The retention period for clients' datasets on the Service's servers after the delivery.
7 days
14 days
14 days
30 days
30 days
60 days
90 days
Issue response time ?The regulated period for the support team to acknowledge and address a customer's issue or inquiry.
72h
72h
72h
48h
48h
24h
18h
Scraping / data delivery scheduling ?The possibility to scrape data within a predefined dates and time intervals.
-
-
-
+
+
+
+
Delta scraping ?Comparative data scraping where new datasets are matched with previous ones to identify and deliver updates or changes.
-
paid separately
paid separately
paid separately
paid separately
paid separately
+
Image storing ?The option to retain images associated with the scraped data.
paid separately
paid separately
paid separately
paid separately
paid separately
paid separately
+
Translation integration ?The option to integrate external services for automated data translation.
paid separately
included
included
included
included
included
included
Weekend scraping ?Conducting data scraping operations over the weekend.
-
-
-
-
paid separately
paid separately
+
Free Scraper maintenance ?Any structural or naming adjustments in data sources are resolved under free maintenance, without additional fees.
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+
+
+
+
+
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Free change requests ?Free adjustments to the scraping requirements or data structure available within a billing period (month).
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1
1
1
1
3
5
Benefits
Quotitive discounts ?Discounts that are available for the number of scrapers being operated concurrently under subscription.
-
Season, Sixer, Duz
Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Believer, Season, Sixer, Duz
Commitment discounts ?Discounts that are available for the number of billing periods (months) paid upfront.
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Quint, Deca, Q-n-D
Dedicated PM
-
-
-
+
+
+
+
Dedicated Slack channel ?A dedicated guest Slack channel is provided for the client's team to facilitate seamless communication and efficient issue resolution.
-
-
-
-
-
+
+
Integration with client's infrastructure ?Automatic data delivery and integration with the client’s system.
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+
+
+
+
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SLA ?A Service Level Agreement (SLA) can be signed upon clients' requests.
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+
+
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Extra Costs
Sample dataset ?A bespoke, freshly scraped subset comprising up to 10% of the anticipated data volume. It's fully customized to meet clients' requirements and formatting needs.
50€
50€
50€
50€
50€
50€
50€
Extra data (100K rows) ?The cost of extra data beyond the volume provided by the plan.
12€ / 100K
10€ / 100K
10€ / 100K
10€ / 100K
10€ / 100K
8€ / 100K
7€ / 100K
Delta scraping ?Comparative data scraping where new datasets are matched with previous ones to identify and deliver updates or changes.
79€
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
99€ - 1st month | 49€ - 2+ month
included
Translation integration ?The option to integrate external services for automated data translation.
25€
+
+
+
+
+
+
Translation(100K symbols) ?The cost of usage of translation integration option.
0,8€ / 100K
0,7€ / 100K
0,7€ / 100K
0,7€ / 100K
0,7€ / 100K
0,6€ / 100K
0,6€ / 100K
Weekend scraping ?Conducting data scraping operations over the weekend.
-
-
-
-
79€ - 1st month | 59€ - 2+ month
79€ - 1st month | 59€ - 2+ month
included
Image Storing (100 GB / month) ?The cost of usage of image storing option.
5€ / 100GB
4€ / 100GB
4€ / 100GB
3,5€ / 100GB
3,5€ / 100GB
3€ / 100GB
3€ / 100GB
Postscrape data processing ?Enhanced forms of processing the scraped data (i.e. transformation, matching, enrichment, etc).
10€
included
included
included
included
included
included
Extra change request rate ?The cost of each change request is determined individually based on the working hours required multiplied by the service rate.
-
30€/h
30€/h
30€/h
30€/h
30€/h
30€/h
Analytical dashboard ?The basic analytical dashboard can contain up to 6 metrics.
-
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month
499€ - 1st month | 199€ - 2+ month

Get samples:

Data Example

9.99 (14.99)
/ source
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Data limits (rows): a 100+ row piece

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Iterations: 1

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Custom requirements: No

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Data lifetime: up to 3 month old

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Data quality checks: No

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Delivery deadline: 1 working day

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Output formats: CSV, JSON, XLSX

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Delivery options: e-mail

Sample Dataset

50
/ source
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Data limits (rows): up to 10%

icon-check

Iterations: up to 3

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Custom requirements: Yes

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Data lifetime: up-to-date

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Data quality checks: Yes

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Delivery deadline: 1-2 working days

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Output formats: CSV, JSON, XLSX

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Delivery options: e-mail

Get data sample

Why Use Houzz Scraper

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.

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About ScrapeIt

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.

FAQ

What types of platforms does your company collect data from?

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.

Can I export property-related content by city or ZIP code?

Yes. If location details are available, we can filter and export data by city, ZIP code, or regional tags included in the listings.

Does the extractor include prices or service rates from Houzz profiles?

Where visible, our extractor captures hourly rates, consultation fees, and listed prices for specific design or contractor services.

Can you collect reviews, addresses, and contact info for professionals?

Yes, we can extract public reviews, business addresses, and profile-level contact details for architects, designers, and contractors featured on Houzz.

Is it possible to track how property and housing styles vary by region?

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.

How does it Work?

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.

Request a Quote

Tell us more about you and your project information.
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Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582