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
Canada’s most comprehensive real estate listings, collected and structured for your specific needs. With ScrapeIt, you get housing data from Realtor.ca — refined, location-aware, and ready for analysis.
Instead of navigating countless listings manually, we extract data from Realtor.ca using a custom-built solution tailored to your filters. Whether you focus on residential sales in Ontario or rental units in Vancouver, ScrapeIt delivers structured insights with zero setup from your side.
With our Realtor.ca Scraper, we pull detailed property information from every listing — including price, address, city, postal code, number of bedrooms and bathrooms, living space in square feet, property type, listing status, and days on market. You’ll also receive full descriptions, image URLs, agent or brokerage contact info, and map coordinates for geographic analysis.
ScrapeIt helps you scrape Realtor.ca data beyond basic listing facts — we extract layers that reflect market sentiment and listing performance. These include “Open House” tags, changes in listing price over time, popularity indicators like saved counts, walk scores, and neighborhood-level filters such as school catchments or transit access. These data points help you compare demand across regions or highlight high-engagement zones for targeting.
As Canada’s official real estate platform, Realtor.ca connects buyers, renters, and agents coast to coast — from major metros to remote rural areas. Operated by the Canadian Real Estate Association (CREA) and fueled by MLS® data from hundreds of regional boards, it offers national coverage of resale homes, rentals, commercial properties, and land listings — all updated directly by licensed professionals.
The site is fully bilingual (English and French), with prices shown in Canadian dollars (CAD). Users can fine-tune searches by property type, energy efficiency, open house availability, or even pet-friendliness. Integrated tools like commute estimates, Walk Score®, school catchments, and community demographics provide essential context for decision-making.
But Realtor.ca goes beyond listings — offering affordability calculators, neighborhood insights, and a clean, mobile-first experience for users on the move. Whether you’re a first-time buyer in Toronto, an investor exploring Alberta, or a relocation specialist serving newcomers, the platform remains one of the most trusted and comprehensive real estate resources in Canada.
Thanks to robust API access and syncing across devices, Realtor.ca fits seamlessly into the workflows of both individual users and real estate professionals alike.
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Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for REALTOR.ca — 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
Realtor.ca offers a centralized view of Canada’s housing market — but relying solely on manual search or APIs limits your scope. A Realtor.ca Scraper gives you the power to analyze large volumes of property data across all provinces with complete flexibility. Whether you’re building pricing models, tracking regional demand shifts, or comparing listing activity in urban vs. rural areas, structured extraction provides the breadth and depth needed for actionable insights. Developers, analysts, and real estate firms can all benefit from high-quality data — without platform restrictions or technical roadblocks.
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.
ScrapeIt creates custom data extractors that focus on your specific real estate needs — no coding, no dashboards, no setup required. We scrape Realtor.ca data and deliver it in structured form, exactly as requested: filtered by region, property type, listing status, or price range. Whether you need bulk export for analysis or ongoing updates, our service adapts to your workflow and business goals. You get clean, accurate, and ready-to-use datasets, purpose-built for your use case.
Clients range from Canadian brokerages and data providers to international investors and proptech startups — anyone who needs high-quality housing data without API limits.
Yes. We can filter for new entries, listings with price drops, or properties marked as “Open House” — depending on your use case.
Of course. Most clients prefer CSV or JSON, but we can also supply Excel files or custom schemas upon request.
Yes — listings can be enriched with agent profiles, brokerage names, phone numbers, and contact links.
ScrapeIt works only with public-facing data, respecting platform structure. Clients must ensure their data usage complies with their own legal and business policies.
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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NIP: 5423457175
REGON: 523384582