230,000 Daily Rows Standardized Across 5 EU Property Sites
Monitoring of real estate listings on funda.nl, pararius.com, rentberry.com, rentola.com, and zimmo.be to support the growth of a European property portal.
Learn MoreMLS.com is one of the most recognised real estate platforms in the U.S., connecting millions of buyers, sellers, and agents through listings from 900+ local MLS databases. Covering every state, the site provides access to residential and commercial properties, new developments, foreclosures, and investment opportunities nationwide. With our MLS scraper, you gain structured insights from one of the most trusted sources in the U.S. housing market.
Our MLS web scraper delivers exactly the data your business needs - without complex tools or integrations. We extract and prepare structured datasets tailored to your goals, whether it’s tracking property prices, monitoring market activity, analysing investment trends, or comparing regions. You choose the export format - CSV, Excel, or JSON - and we handle the entire process, giving you clean, ready‑to‑use data from verified product pages across the platform.
Using scrape MLS data, we collect structured property data directly from verified listings. This includes property addresses, full descriptions, high‑quality images, pricing details, square footage, number of bedrooms and bathrooms, lot sizes, and year built. We also extract agent and broker information, open house schedules, and foreclosure listings. Every dataset is cleaned, organised, and ready for analysis, giving you a complete picture of the U.S. real estate market.
When we scrape MLS, you gain more than listing details. We collect neighbourhood statistics, property tax history, price change trends, school ratings, and walkability scores. Our datasets also cover days on market, comparable properties, and regional demand spikes. These insights help you understand market dynamics, evaluate investment opportunities, and spot emerging trends before your competitors.
MLS.com is one of the most recognizable real estate platforms in the U.S., designed to simplify access to property listings nationwide. The platform aggregates data from 900+ local MLS databases, covering every state and showcasing residential and commercial properties, new developments, foreclosures, and investment opportunities.
Unlike typical listing sites, MLS serves as a central hub, connecting buyers, sellers, and agents with verified, up‑to‑date information. Its reach across the entire U.S. housing market makes it a trusted source for professionals, investors, and anyone analysing regional real estate trends. With millions of active listings and detailed property insights, MLS plays a key role in understanding market dynamics at both local and national levels.
Get a QuoteDevelopers
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
The U.S. housing market moves fast, and data from MLS reflects these changes in real time. With scrape MLS data, our dedicated extractor collects structured property data directly from verified property listings. From live property prices to investment trends and agent activity, we deliver datasets that help you evaluate markets, compare regions, and act on opportunities before competitors.
Monitoring of real estate listings on funda.nl, pararius.com, rentberry.com, rentola.com, and zimmo.be to support the growth of a European property portal.
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Daily detection of new private property listings in Switzerland on Homegate.ch and ImmoScout24.ch, giving the agency first access to high-value leads.
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Scraping residential listings from Immobilienscout24.de in Germany and Mallorca, including complete data and resized images.
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
ScrapeIt is a data extraction company specialising in structured data exports across multiple industries - from e‑commerce and travel to real estate and job platforms. Our services handle the entire parsing process for you and deliver clean, ready‑to‑use datasets in formats like CSV, Excel, JSON, or any format you prefer. Whether you need insights from a single page or large‑scale datasets, we provide accurate, verified data that helps you uncover opportunities and stay ahead in your market.
We extract verified property data directly from MLS listings, ensuring accuracy and consistency.
Yes. We customise the export to deliver property datasets filtered by state, city, or ZIP code.
Yes. Where available, we include homeowner or agent reviews alongside other property details.
We can provide one‑time datasets or recurring updates based on your needs to keep your product information current.
Absolutely. We can merge MLS.com exports with data from other real estate platforms for deeper market insights.
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