Take benefits from accurate and large-scale MLS datasets from the top Real Estate Data Scraping provider, including property size, type, year, square feet area, prices, and location datasets.
The MLS data fields contain property size, type, year, square feet area, prices, location, listings, demographics, sales data, and more. Ask us for subset scraping or complete MLS dataset scraping.
Assess market situations and potential research markets, and discover investment opportunities by studying scraped MLS datasets. Predict market situations to define the best time to trade property and make property performance comparisons while making informed investment decisions.
Get detailed operations insights and competitor strategies. Find improvement areas and stronger competitors in a specific market, and discover collaboration opportunities by MLS dataset scraping.
Deeply understand the target market, including preferred locations, demographic data, and purchasing habits. Using MLS Datasets data scraping, you can generate potential leads, create a list of potential buyers, design target-based marketing strategies, and reach the correct audience with a point-on-target message.
Get structured and easy-to-use datasets for each use case.
We maintain data sets depending on structural changes in the website.
You can define customized Output Fields depending on your business needs.
We offer all-time support to our clients whenever they ask us.
Depending on predefined scheduled subscription to data feeds of updated records.
Google Cloud PubSun, Microsoft Azure, Amazon S3, and SFTP.
Get datasets in various formats like Excel, CSV, ndJSON, or JSON.
We assign a dedicated account manager to manage your data scraping.
Assign servers to manage thousands of data requests.
Don't worry about the data quality; focus on better decision-making with accurate and reliable data.
Click all the data points appearing on the websites that you find challenging to uncover if you try to collect them yourself.
Get precise, complete, and fresh datasets covering millions of web pages with billions of data fields.
Boost the usability and value of your data sets by adding several data resources to generate a valuable and accurate dataset.
Actowiz Solutions is fully committed to complying with data protection rules and regulations, including CCPA and GDPR.
We will deliver datasets in formats like CSV, Excel, ndJSON, or JSON to your preferred storage system.
We use Google Drives, Cloud Storage, AWS, SFTP, and other platforms to deliver the data.
Pricing will depend on your requirements for data quantity and difficulty level. So share your requirements with our team, and we will quote after analyzing your requirements.
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Customers
Worldwide
Category Leader
#1 in Web Data
Used by: Business Leaders, Decision Makers, Analysts, Academics, Software Engineers, IT Professionals
Fortune 500 Companies, Academic Institutions, Small-Medium Businesses, NGOs
Yes, you can buy a subset, including the data points needed. By buying a subset, the cost is substantially reduced.
Select any one format: JSON, CSV, ndJSON, or XLSX.
Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.
Watch how businesses like yours are using Actowiz data to drive growth.
From Zomato to Expedia — see why global leaders trust us with their data.
Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.
We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.
How Blinkit and Zepto use pricing, dark store, and SKU data to win India 10-minute delivery war and how FMCG brands can track both platforms with quick commerce intelligence.
Case study on how we used Adidas Product Data Scraping to help a brand gain insights, optimize pricing, and drive competitive intelligence.
Scrape 10 largest pizza chains Data in the United States in 2026 to analyze pricing, menus, trends, and market share for smarter insights.
Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.