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
Access curated listings from Point2Homes — spanning residential and commercial properties across North America and beyond. ScrapeIt delivers ready-to-use data — including price, location, property features, and agent info — cleaned, parsed, and formatted to your needs.
No need to deal with scraping tools or write code — we take care of it all. ScrapeIt builds a custom data pipeline that pulls property listings from Point2Homes based on your exact criteria. Whether you’re analyzing condos in Toronto or compiling housing offers in Florida, we collect, clean, and structure the information for seamless delivery. You get filtered, formatted data — ready to use without technical headaches.
Scrape Point2Homes data with precision — we gather detailed listing information including property type, full address, postal code, price, square footage, number of bedrooms and bathrooms, and property description. We also capture listing status (for sale, pending, sold), neighborhood info, agent contact details, and featured photos. Each data point is cleaned and normalized, so you can work with reliable housing information across U.S., Canadian, and Latin American markets.
Point2Homes delivers much more than basic property listings — the Point2Homes scraper captures layers of data often missed by standard tools. It extracts neighborhood price trends, listing duration, local school ratings, walkability indexes, and outputs from mortgage calculators. In many areas, additional insights such as property tax estimates, community demographics, buyer interest indicators, and regional market overviews are also available. These deeper signals provide essential context for understanding not just the property, but the full environment surrounding it — ideal for smarter decisions, targeted investments, and platform-level integrations.
Point2Homes is a bilingual real estate platform (English–Spanish) designed for buyers, agents, and international investors navigating North American and Caribbean markets. Covering listings across the U.S., Canada, Mexico, and various Caribbean territories, point2homes.com offers a consolidated view of cross-border property portfolios — making it a valuable tool for those tracking multi-country real estate trends.
What sets it apart is its contextual depth: each listing page includes demographics, school rankings, walkability scores, crime data, and even property tax estimates — giving users actionable insights that go beyond square footage and price.
Part of the Yardi ecosystem, Point2Homes benefits from stable data pipelines, professional-grade integrations, and analytics capabilities often absent from consumer-facing portals. The platform supports multi-currency displays (USD, CAD, MXN), virtual tour hosting, agent performance badges, and tools like “Open Home” scheduling for more seamless communication.
Designed for both end-users and real estate professionals, it offers saved searches, listing alerts, and export options, positioning itself as a trusted, feature-rich destination for anyone exploring real estate opportunities across borders.
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Pages extracted
Hours saved for our clients
Customized scraping setup for Point2Homes — 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
Point2Homes brings together high-detail listings, local intelligence, and cross-border visibility — but there’s no built-in way to extract or analyze that data at scale. A Point2Homes scraper lets you unlock structured property information, pricing patterns, neighborhood filters, and location-specific metadata across multiple countries. Whether you’re monitoring Caribbean beachfront properties, building a Canadian market tracker, or analyzing demographic overlays in U.S. zip codes — scraped data from Point2Homes gives you context-rich insights far beyond what static listings provide.
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.
At ScrapeIt, we don’t offer software — we offer answers. Our team builds dedicated scrapers that scrape Point2Homes data and other real estate platforms, transforming it into structured outputs ready for your systems. No setup, no parsing code — just location-specific property information, delivered cleanly in Excel, CSV, or JSON. From regional focus to cross-border aggregation, we adjust the extraction to match how you work.
We can gather residential homes, land, rentals, commercial properties, and even luxury listings — all based on your specific targets.
Yes — whether it’s daily updates for fast-moving areas or a monthly snapshot, we adjust delivery to match your pace.
Definitely. Where available, we include names, phone numbers, and profile links for agents or brokers listed on the platform.
Of course. Since Point2Homes supports both USD and CAD, and offers bilingual content, we’ll match your preferences during extraction.
Yes — we can collect listings from the U.S., Canada, Mexico, and the Caribbean, organizing the data clearly by region.
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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