Introduction
The Indian property market is evolving fast, and investors are increasingly relying on data-driven insights to make smarter decisions. ArcTechnolabs collaborated with a real estate investment consultancy to extract pricing intelligence and property trends using the Real Estate Price Dataset from 99acres India. By analyzing historical and current property rates, we helped them assess market fluctuations, compare localities, and offer clients better ROI-driven investment strategies. The data-driven approach enabled more confident investment advisory, especially across tier-1 and tier-2 Indian cities where pricing patterns vary sharply.
The Client
Our client is a property investment consultancy working with HNIs and institutional investors to identify profitable real estate opportunities across India. With over a decade of market experience, they offer strategic advisory, location evaluation, and asset portfolio optimization. However, the firm lacked access to structured, scalable, and real-time property pricing data. They wanted to Scrape Property Listings from 99acres India to analyze region-wise price dynamics and rental yield trends. Traditional methods of manual data collection were time-consuming and error-prone, limiting their ability to benchmark localities accurately or detect price volatility.
Key Challenges
The consultancy needed clean, high-volume pricing data across residential and commercial listings in real time. Pricing varied by property type, builder reputation, location, and amenities. Capturing this level of granularity from 99acres manually was nearly impossible at scale. They also required the ability to monitor project-level price updates and identify underpriced or overpriced assets. While some portals provided basic pricing tools, they lacked actionable insights. The absence of a dedicated 99acres Property Listing Scraping Service hindered their ability to generate investment-grade recommendations. Furthermore, the client needed access to the Property Pricing Trends Dataset – 99acres to analyze price history, emerging growth corridors, and future value potential in upcoming areas. They sought a tech partner with expertise in Scraping 99acres Property Listings across cities and generating structured output usable in their internal dashboards.
Key Solution
ArcTechnolabs delivered a custom data extraction system using the Real Estate Price Dataset from 99acres India, gathering structured pricing data from thousands of listings across key cities. Using our adaptive crawling infrastructure, we fetched per-square-foot pricing, historical changes, and builder-wise averages. We integrated the 99acres Real Estate Scraper API into the client's CRM to enable real-time alerts on high-yield listings. We also captured metadata like configuration, property age, floor level, and amenities, enriching the dataset with investment-grade filters. Our scraping team built pipelines around Indian Real Estate Datasets From 99acres.com that enabled easy comparison across 3BHK, 2BHK, and studio listings in various budget segments. This empowered the client to identify patterns in micro-markets and track underappreciated localities. We also included overlays using 99acres Real Estate Property Datasets and paired this with our Web Scraping 99acres Property Data capabilities to track changes in project launch pricing vs. current resale values. Delivery was streamlined through our scalable Real Estate Data Scraping Services , combining both desktop and Mobile App Scraping Services to ensure maximum data coverage. By aligning the extracted data with their valuation models, the client could finally unlock the power of structured Real Estate Property Datasets for portfolio recommendations. .
Client Testimonial
"Working with ArcTechnolabs has been a game-changer for our research team. Their ability to extract and structure pricing data from 99acres has drastically improved our investment recommendations. The Real Estate Price Dataset from 99acres India gave us the competitive edge we needed to serve our high-net-worth clients with confidence."
— Head of Strategy
Conclusion
By leveraging the Real Estate Price Dataset from 99acres India, ArcTechnolabs enabled the client to go beyond guesswork and implement a data-first approach to real estate investment. The success of this partnership showcases how custom-built scraping solutions, powered by our expert Web Scraping Services , can fuel precision in decision-making for real estate investors. Whether you need listing-level insights, pricing trends, or API-powered data feeds, ArcTechnolabs delivers tailored solutions that scale with your needs.
