Explore structured rental data from RentCafe - apartments, floor plans, amenities, and pricing details, all extracted and refined by ScrapeIt. Get exactly what matters, delivered with location-level precision.
Our extraction process to scrape RentCafe data is built around your needs - no generic feeds or scraped noise. We target listings based on your chosen criteria: city, property type, rent range, amenities, or availability. ScrapeIt handles parsing, cleanup, and formatting, so you receive clear, filtered data aligned with your rental market goals.
ScrapeIt helps you scrape RentCafe data in full detail - not just rent and location. We gather a complete snapshot of each listing, capturing the full address (including ZIP code and coordinates), monthly pricing with any promotional rates, and comprehensive unit specs like square footage, number of bedrooms and bathrooms, and floor plan type.
Beyond that, we collect interior features such as washer/dryer setups, balcony access, smart tech, and flooring. Each listing includes rich media - from high-resolution photos to video tours and 3D walkthroughs.
Community-level data is also part of the package: amenities like fitness centers, pools, EV charging, pet areas, and package lockers are all tracked. We extract current availability, upcoming move-in dates, and lease conditions.
Resident-generated content, like star ratings and written reviews by category, adds valuable qualitative insight. You’ll also receive cost-related fields, including deposits, pet fees, and application charges - all structured and export-ready for analysis.
With RentCafe, the real story often lives in the extras - and our RentCafe scraper captures them. We extract user-focused details like “Top Rated Communities,” properties tagged as “New Listing” or “Limited Availability,” and filters for pet policies, smoke-free units, or wheelchair accessibility. We also track unit-level availability status, specials like “1 month free,” and engagement signals such as the number of floor plans viewed or saved.
By going beyond standard fields, we help clients monitor what truly drives renter interest - including lifestyle alignment, urgency cues, and policy-related preferences often missed in traditional datasets.
Rentcafe.com, developed by Yardi Systems, is a key player in the North American rental market - offering a seamless experience for anyone searching for an apartment, townhouse, or single-family home in the U.S. or Canada. Listings come straight from verified property managers, with up-to-date pricing, floor plan availability, and the ability to connect directly without registration.
What makes the platform particularly effective is its blend of simplicity and depth: renters can filter by pet-friendliness, lease length, accessibility, and amenities like in-unit laundry or EV charging. Budget-conscious users benefit from built-in affordability tools and neighborhood-level insights, while side-by-side comparison features help narrow down options fast.
RentCafe also serves current residents through its built-in tenant portal, streamlining rent payments, maintenance requests, and amenity reservations - all from one dashboard. For property teams, it provides a digital bridge between marketing and leasing operations. Whether you're moving across town or across the country, the platform delivers a data-rich, renter-first experience that supports every step of the leasing journey.
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Developers
Customers worldwide
Pages extracted
Hours saved for our clients
€199 / one-time
setup fee - included
€169 / mo
setup fee €499
€229 / mo
setup fee €499
€349 / mo
setup fee €499
€549 / mo
setup fee €799
RentCafe is home to one of the richest rental databases in North America - but using it manually means missed opportunities. With a RentCafe scraper powered by ScrapeIt, you get structured, filtered rental data tailored to your needs. From tracking rent trends and comparing amenities to analyzing lease terms across cities, our solution lets you go beyond the UI and extract exactly what matters - no rate limits, no API headaches. It’s rental intelligence, delivered on your terms.
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Learn MoreLearn how to use web scraping to solve data problems for your organization
Real estate teams work in a fragmented data landscape. The sites that drive demand in Boston look nothing like the ones that matter in Berlin, São Paulo, Dubai, or Mumbai.
Real estate teams are operating in a data environment that is bigger, faster, and more fragmented than ever. Listings go live and disappear in hours, price cuts happen quietly, and the portals that matter most in each country are rarely the same global “top 5.”
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
Looking for tailored rental data without the hassle of scraping tools or browser automation? That’s where we come in. ScrapeIt delivers clean, structured RentCafe datasets filtered exactly to your criteria - no setup, no coding, just actionable results. Whether you need nationwide data segmented by ZIP code or insights into amenity-driven pricing, we provide ready-to-integrate outputs aligned with your workflow. Our role is simple: you tell us what you need - we handle the extraction, formatting, and delivery.
Our clients include housing platforms, proptech developers, urban researchers, and real estate firms who need accurate rental intelligence across the U.S. and Canada.
Yes - we can structure exports based on ZIP codes, neighborhoods, or entire cities, making regional comparison effortless.
It can. We extract both written feedback and category-specific scores like cleanliness, maintenance, and noise levels where available.
You’ll receive your data in the format that works best for you - CSV, JSON, XLSX, or something custom if needed.
Absolutely. We can apply your specific filters before extraction, whether it’s lease flexibility, amenities, or unit features.
Step 1 - Make a Request
You share your needs, expectations, and desired timeframe. We’ll suggest the best solution based on your request and budget.
Step 2 - Configuring Custom Web Crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Step 3 - Collect and Deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Step 4 - Maintain and Support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
REGON: 523384582
