How to Use Rakuten Product Scraping for eCommerce Market Intelligence in Japan?
Learn how Rakuten product scraping enables eCommerce market intelligence in Japan by extracting pricing, trends, and competitor data for smarter decisions.
Explore how MagicBricks and 99acres Data Scraping helped extract real estate listings, offering insights into pricing, trends, and market opportunities.
In India’s fast-evolving real estate landscape, access to accurate and up-to-date property data is crucial for developers, investors, and market analysts. Actowiz Solutions has been at the forefront of helping clients Extract Real Estate Data efficiently from top property platforms. This case study showcases how our advanced data scraping solutions empowered a real estate research firm to access comprehensive listings across key platforms. Through a customized approach to MagicBricks and 99acres data scraping, the client gained critical insights into location-based pricing, property trends, and builder activities. Our focus was on providing scalable and reliable tools to support real estate property listings scraping from India’s largest online real estate portals. With clean, structured datasets and automation in place, the client was able to enhance their research capabilities and deliver real-time property market intelligence.
The client is a real estate consulting firm based in India, specializing in investment advisory and market research. Their services depend heavily on timely and detailed data from sources such as MagicBricks and 99acres. Despite having a skilled analytics team, their manual efforts to Extract MagicBricks Property Data and Extract 99acres Property Data were proving inefficient and inconsistent. They needed a data partner who could deliver structured, high-volume datasets from these platforms in a reliable and compliant manner. Seeking to build a powerful analytics engine for trend prediction, price comparison, and locality insights, the client partnered with Actowiz Solutions to streamline data acquisition processes through robust real estate scraping India solutions.
The client faced significant bottlenecks in data gathering, with inconsistent access to property listings and missing information across various regions. Manual scraping methods not only consumed time but also led to data duplication, errors, and delays in analysis. Their analysts struggled to maintain an up-to-date repository of listings, particularly in high-demand areas. In addition, variations in data formats and frequent updates on property portals made it difficult to track changes in property prices, builder listings, and availability. These limitations impacted their ability to provide accurate forecasts and recommendations to clients. Without a scalable solution to scrape listings from MagicBricks and 99acres, they lacked visibility into the full market picture. Furthermore, building custom scripts internally proved costly and hard to maintain due to constant structural changes on the platforms. It became evident they needed a specialized partner to implement tools for Indian real estate data scraping that were both scalable and precise.
Actowiz Solutions deployed a custom real estate scraping framework designed specifically for the Indian market. Through intelligent automation, we ensured smooth and scalable MagicBricks and 99acres data scraping without violating platform norms. Our system collected data points such as property type, pricing, location, size, amenities, builder info, and posting dates. This allowed the client to access a daily feed of fresh, accurate, and de-duplicated listings. The scraped data was enriched and standardized into a structured format suitable for analytics. Our solution also included dynamic monitoring of changes in listings, enabling timely updates for pricing fluctuations and new developments. By enabling automated workflows to automate property data collection from 99acres, we significantly reduced the client's manual effort and turnaround time. We also delivered datasets compatible with their in-house BI tools, ensuring seamless integration and reporting. This strategic move provided the foundation for real estate property listings scraping and enabled the client to unlock deeper Indian property data insights and generate accurate trend analyses. The enriched 99acres Real Estate Dataset proved especially valuable for understanding location-specific activity, while MagicBricks property data supported builder benchmarking and pricing comparisons. The combined dataset now plays a key role in multiple client-facing reports, enhancing their competitive edge in the market.
"Actowiz Solutions completely transformed our data acquisition process. Their scraping expertise gave us unmatched visibility into the market, and their support was top-notch. The integration was smooth, and our analytics team now delivers deeper insights thanks to structured data from MagicBricks and 99acres."
— Strategy Lead, Online Retail Brand
This project highlights a successful application of real estate property listings scraping, where Actowiz Solutions delivered powerful automation and analytics capabilities through reliable data extraction. With a strategic focus on MagicBricks and 99acres data scraping, the client now enjoys accurate, up-to-date, and actionable data tailored for real estate research. The enriched datasets empower them to predict trends, monitor builder activities, and inform investment decisions with confidence. As a use case, it also showcases how use cases of MagicBricks data in real estate analytics are expanding rapidly among advisory firms and property platforms. Whether your goal is to Web Scraping Real Estate Data or build a strong market intelligence system, Actowiz Solutions offers scalable, compliant, and customized tools to meet your data needs.
Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.
Find Insights Use AI to connect data points and uncover market changes. Meanwhile.
Move Forward Predict demand, price shifts, and future opportunities across geographies.