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
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Pages extracted
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Customized plans that grow with your data needs.
€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.
Learn how to use web scraping to solve data problems for your organization
If you work in travel tech, an OTA, a hotel chain, or at an airport, you are in a price-and-availability arms race. Fares change by the hour, room inventory disappears in minutes, and competitors test new bundles and ancillaries constantly.
If you sell online, run a marketplace, or advise e-commerce clients, you already know why eBay matters: it’s one of the few places where big retailers compete side by side with thousands of small merchants and private sellers.
E-commerce teams do not just need “some” competitor data anymore. They need a continuous stream of real prices, discounts, stock levels, reviews, and seller behavior from the platforms that actually shape their markets.
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.
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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