Magicbricks is India’s leading real estate platform, featuring hundreds of thousands of up-to-date listings. With our Magicbricks scraper, we collect this data for you — fast, accurate, and hassle-free.
Perfect for market analysis, price tracking, or building your own real estate database.
We use our own tools to scrape Magicbricks data and deliver exactly what you need — no setup, no coding, no stress. Want listings from Delhi or only builder-floor apartments in Pune? Just tell us — we’ll extract it.
Filtered by city, price, property type, or any other visible field — ready to use from the start.
We scrape Magicbricks data to collect all visible listing details that matter for real estate tracking and analysis. This includes property type (flat, villa, plot, commercial), number of bedrooms and bathrooms, super built-up area, and furnishing status.
We also extract location data — city, neighborhood, and even landmarks — along with price, floor number, total floors, facing direction, and age of the property. Listings often include whether it’s posted by an owner, agent, or builder, which we capture too.
You get listings with all essential specs, ready for segmentation, valuation, or lead generation.
Our Magicbricks scraper also collects valuable extras beyond the core fields. These include:
Magicbricks is one of India’s most visited property platforms, launched in 2006 and backed by Times Internet, part of The Times Group. It features over 1.5 million active listings across 200+ cities, from top metros like Mumbai and Bangalore to tier-2 and tier-3 markets.
What sets Magicbricks apart is its full-service ecosystem. In addition to property listings, it offers mortgage calculators, legal documentation support, interior design services, and even rent payment tools. Users can explore projects with photos, videos, and virtual tours — or check locality reviews written by residents and real estate experts.
The platform is available in English and supports regional languages. Prices are listed in INR, and listings can be filtered by city, locality, builder, amenities, and even project stage. Magicbricks also runs its own pricing index (PropIndex) and valuation engine (PropWorth), giving users deeper market insight.
Domain: magicbricks.com. A trusted source for Indian real estate — at scale.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for MagicBricks — 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
Working with Indian property data manually is time-consuming — and incomplete. A Magicbricks scraper solves that by collecting listings in bulk, across cities, property types, and price ranges.
Whether you're building a real estate app, running market research, or comparing new projects, our Magicbricks scraper gives you structured data without the hassle. It’s faster, cleaner, and built for real use.
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At ScrapeIt, we focus on getting you real estate data without the hassle. For platforms like Magicbricks, we’ve already built the scrapers — all you do is tell us what listings or details you want.
We handle the extraction, parsing, and formatting. You get clean, structured data — no setup, no technical overhead, just results that fit your workflow. You ask. We extract.
Yes. We deliver the scraped data in the format you prefer — CSV, Excel, or JSON — structured and ready to use.
Absolutely. We can extract listings by city, locality, address, or zip codes, depending on how the data is shown on the site.
Yes. Our extractor can handle both — you can choose to focus on one category or include everything available on Magicbricks.
We can run the scraper once, on demand, or on a regular schedule — daily, weekly, or monthly — with fresh export files every time.
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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