Point2Homes is built around houses for rent in the United States and Canada. Our Point2Homes scraper collects them with rent, beds, baths, square footage and pet policy.
Plans from €169/month · Free project assessment · Reply within 1 business day
You give us the geography - whole states or provinces, a list of counties, or named cities and neighbourhoods - and the kinds of home you care about: single family homes, townhouses, duplexes, apartments. We build the crawler for that scope, operate it and fix it when Point2Homes changes a page. Point2Homes screens automated traffic, so request pacing, rotating proxies, CAPTCHA handling and page rendering come with the service.
Before any commitment we assess the project free of charge, and you can order a sample to check the columns against your needs. Data is delivered as CSV, Excel (XLSX), JSON or XML to FTP, Google Drive, Dropbox or your database, a single time or on a daily or weekly schedule. Plans start from EUR 169 a month, or EUR 199 for a one-time extract.
Point2Homes publishes two kinds of rental page, and they need different rows. One home with one address and one rent is a single listing. A managed development with several units - a community, in the site's vocabulary - has one page that covers all of its floor plans. We keep both and mark which is which.
Names and direct phone numbers of individual agents are personal data, and so are the names of reviewers. By default we keep the brokerage or the management company and leave the person out.
Three kinds of page surround the listings, and they are often the reason a buyer comes to Point2Homes in the first place.
We join these tables to the listings by area, so the row for a house in Orlando or in Dallas County can carry the local average rent and household income beside its own rent. Repeating the run adds what one pass cannot show: rent changes per home, units leaving the market, and floor plans whose range moves.
Point2Homes belongs to Yardi, the property management software company, and sits in the same rental network as the apartment portal RentCafe. By its own description it now specialises in houses for rent in the United States and Canada - single family homes, townhouses, duplexes and cottages - with apartment communities listed alongside.
The site is two country sections, US and CA, each cut the same way: state or province first, then county or region, city and neighbourhood. Every area has two result sets, houses for rent and apartments for rent, and a Property type filter narrows them to houses, townhouses, duplexes, mobile homes, apartments or condos; each page announces how many rentals it holds.
Part of the inventory is professionally managed communities, which is why a Point2Homes page often describes a development with floor plans and a management company where another site would show one landlord's house. Individual homes sit beside them, and in Canada some of those arrive from real estate boards with an MLS number attached. Around the listings the site publishes average rent pages and demographics profiles for the same cities.
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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
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan details →Rental houses are scattered across small operators and private owners, which makes them harder to count than apartment blocks. Point2Homes gathers them and counts them by area, and that is what makes its pages worth turning into a table.
Every day, a full snapshot of all active Homegate listings in one Swiss region, with photos and PDFs, for a company's own listing-history database.
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A real-estate analytics company got two portals archived listing by listing: the saved page, a JSON file and every photo, 420K+ listings in all.
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US real-estate investors get agent lists for their markets from MLS portals under their own 2FA logins, plus realtor.com and Zillow directories.
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.”
Six jobs that scraped property data does, each backed by a ScrapeIt project: seller leads, listing monitoring, image datasets, weekly market supply, sold records and unit-level rentals. For every use case - the fields it needs and how often to refresh them.
ScrapeIt is a managed web scraping service. We build the crawler for the site you need, operate it, repair it and deliver the dataset with documentation for each column - there is nothing to install and nothing to maintain on your side. Rental sites built on communities and floor plans, as Point2Homes is, need rows designed for ranges as well as single values, and we settle that layout with you before the first full run.
We stay on pages that need no login, treat personal data as GDPR requires, and never sell lists of agents' or tenants' contacts.
Yes. The ScrapeIt Point2Homes API returns address, home type, monthly rent or rent range, bedrooms, bathrooms, square footage, pet policy and management company as JSON from an endpoint we host, refreshed on the schedule you set. If an endpoint is more than you need, the same fields arrive as CSV, XLSX or JSONLines files or as a load into your database.
Yes. Rental listings, community pages with their floor plans, area counts, average rent pages and demographics profiles are all open to visitors without an account. We collect only publicly available data - everything a visitor can see on Point2Homes - and we collect it legally.
Yes. The US and CA sections share a layout, so one project can cover both; each row carries its country, its state or province and its currency. Canadian listings that come from real estate boards add columns for the MLS number and the brokerage.
Yes, as separate tables. Average rent pages give the city average, the share of each rent bracket and a trend against the national figure; demographics profiles give population, households, income, education and employment. Average rent is keyed by city and the profiles by city, county and state, so both join to the listings.
Daily, weekly or on demand. Rents and available units on community pages change as homes are leased, so rent tracking deserves a daily or weekly run, while demographics profiles change rarely and need only an occasional pass. Every delivery is dated, which turns repeated runs into a rent record per home and per floor plan.
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.
Point2Homes data from €169/month. Free project assessment, reply within 1 business day.
Scrapeit Sp. z o.o.
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