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
Need rental data from Canada’s local markets? ScrapeIt captures detailed listings from RentFaster.ca — structured and filtered to match your research, investment, or listing aggregation needs. All the insights, zero browsing.
Instead of relying on front-end filters or time-consuming manual checks, ScrapeIt automates the extraction of RentFaster.ca listings based on your exact needs. Whether you want to monitor Calgary’s condo market or pull rental homes in smaller Alberta towns, our extractor targets specific fields and cleans the output for direct integration. No scraping tools to manage — just structured property data aligned with your criteria.
ScrapeIt’s RentFaster.ca scraper collects granular property data tailored for market research, aggregation, or internal dashboards. Each listing includes rental price, full address with postal code, property type, number of bedrooms and bathrooms, and square footage. We also extract listing descriptions, image URLs, and available floor plans where applicable. You’ll get landlord or property manager contact info, plus metadata like listing ID, posting date, and whether utilities are included. If available, we capture walk score ratings, nearby schools, and proximity tags such as “close to transit” or “downtown location” — all structured for export in CSV or JSON format.
ScrapeIt doesn’t stop at standard fields — we scrape RentFaster.ca data beyond the basics to uncover deeper market dynamics. This includes lesser-known details like whether utilities (heat, water, electricity, internet) are bundled into the rent, what lease durations are available, and whether furnished options are offered. We also capture promotional tags such as “Move-in Today,” “Pet Friendly,” or “Reduced Security Deposit.” Some listings mention views, noise levels, floor preference, or parking arrangements — all subtle signals that matter for renters and analysts alike. These extra fields help differentiate properties beyond price and location.
Serving Canadians coast to coast, RentFaster.ca began in Calgary but now powers rental searches in nearly every major urban center — from Vancouver to Halifax. With roots going back to 2003, the platform blends local expertise with national reach, catering to tenants, landlords, and property managers alike.
What sets RentFaster.ca apart is its detailed market insight: renters get access to postal code-level pricing data, trend graphs, and niche filters like “furnished only” or “private entrance.” Listings include everything from condos and duplexes to short-term suites and student housing — all priced in Canadian dollars and available in both English and French.
Registered users can save favorites, compare listings, and explore rich neighborhood profiles. Meanwhile, landlords benefit from tools to monitor listing views, adjust pricing strategies, and even download printable signage. For anyone navigating Canada’s rental landscape — whether it’s a new city or a new phase in life — RentFaster.ca delivers clarity, convenience, and control.
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Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for RentFaster — 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
While RentFaster.ca offers powerful local listings, it lacks export flexibility — making large-scale research or monitoring time-consuming. A RentFaster.ca scraper gives you full control over how and when rental data is used. You can track pricing shifts across cities, compare amenities between listing types, or analyze lease trends in specific postal codes. Whether you're building a rental price index, feeding a listing aggregator, or scouting for investment zones in Alberta or beyond — structured extraction with a scraper removes friction and opens up rich, location-based housing data for strategic use.
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.
Tired of messy exports or platforms that lock down their data? ScrapeIt offers a simpler route to scrape RentFaster.ca data without the hassle. We develop customized extractors that focus on precision — targeting just the listings, features, and filters you actually need. From lease duration to utility breakdowns, everything is parsed, structured, and delivered in a format that fits your process. You won’t need to manage tools or touch a line of code — we provide reliable housing data that’s ready to work where you need it.
Yes, we can structure datasets by city, province, or ZIP code to help you analyze regional trends, rental gaps, or cross-market pricing.
Our clients range from analytics teams and rental platforms to real estate advisors and investor groups seeking verified housing data.
If publicly shown, yes — we extract names, phone numbers, and contact forms listed with each property.
Definitely. We can narrow the dataset to just furnished rentals, month-to-month leases, or properties that include utilities.
You can receive the export in CSV, JSON, or Excel — whatever integrates best with your tools or workflow.
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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