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
99acres is one of India’s leading real estate platforms, with thousands of listings — from apartments in Mumbai to office spaces in Bengaluru.
With our 99acres scraper, you get ready-to-use data from a trusted source — no manual work, no copy-pasting. We extract exactly what you need and deliver it in a format that fits, fast and tailored to the specifics of the Indian market.
We scrape 99acres data based on your criteria. Just tell us what matters — location, price range, property type, or builder info. We take care of the rest, delivering structured and filtered data that’s easy to use for analytics, mapping, or integration into your systems.
Using our 99acres scraper, we collect the full picture behind each listing — not just surface details.
You get access to:
From resale units to builder-floor listings — every data point is extracted and organized for quick use.
There’s more to listings than just price and square footage. Our scraper can pull supporting data that helps you see the bigger picture.
This includes:
These extras help refine targeting, build internal search tools, or compare listings at scale — all without manually clicking through pages.
99acres.com is one of India’s largest real estate platforms, launched in 2005 and owned by Info Edge — a major tech group that also operates Naukri.com (India’s leading job portal) and Jeevansathi.com (a top matchmaking service).
The platform covers over 600 cities across India and serves millions of users searching for residential and commercial properties to buy, rent, or invest in.
The site features:
The primary language is English, with listings also available in Hindi. Prices are shown in Indian rupees (INR). The platform is accessible via desktop, mobile web, and mobile apps for Android and iOS. Thanks to its scale and depth, 99acres is a key source for tracking India’s real estate trends.
Get a QuoteDevelopers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for 99acres — 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
Need to analyze regional markets? Want to track builder launches across multiple cities? Or maybe you're building tools that rely on real-time property listings?
This is where scrape 99acres data makes the difference. Clean, up-to-date data helps compare supply, benchmark prices, and spot trends — across states, zones, or even postal codes. Use it for insights, automations, or powering your own housing platforms.
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
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At ScrapeIt, our service is built around your workflow. You tell us what you need from real estate sites like 99acres, Housing.com, Immoweb, ERA Belgium, or others — and we take care of the parsing, cleaning, and formatting.
No steep learning curves, no generic exports. Just the exact property data, organized the way your team needs it.
Yes. You can choose whichever format works best with your tools and workflows — we’ll deliver the data that way.
Of course. You decide what to include: full property details, just price and location, or builder info only. We adapt the export to your use case.
No. ScrapeIt isn’t a tool you install. We’re a service company — you send us requirements, we send back results.
You can request one-time parsing or regular updates — daily, weekly, monthly. We adjust to your needs and schedule.
Absolutely. As part of our services, we can scrape data from other platforms you’re interested in — to expand or enrich your dataset as needed.
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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