Tracking Trends with Product Data Scraping from Coupang

Introduction

In South Korea's dynamic e-commerce ecosystem, consumer behavior shifts rapidly—especially in sectors like beauty and cosmetics. To stay ahead, real-time insights are essential. ArcTechnolabs empowered a leading market intelligence firm with product data scraping from Coupang to extract rich, structured datasets that helped them decode emerging trends. From lipstick shades to skincare innovations, the firm needed access to real-time pricing, stock levels, and new product launches. Our robust Web Scraping Services enabled them to tap into critical consumer signals without manual effort. The focus was on scaling across categories, especially beauty and cosmetics, with precision and speed.

The Client

Our client, a Seoul-based market intelligence company, supports top cosmetic brands in launching and pricing their products strategically. Their core service involves providing real-time analytics on new product entries, price changes, and consumer sentiment in Korea’s booming beauty sector. The firm had tried manual research and third-party reports but lacked real-time access to Coupang’s fast-moving catalog. That’s when they approached ArcTechnolabs to implement product data scraping from Coupang, specifically to scrape beauty and cosmetics data and deliver actionable intelligence for their clients. Their end goal was building a predictive model of consumer preference and product success.

Key Challenges

The client faced multiple roadblocks. Coupang’s site heavily relies on JavaScript rendering and dynamic content loading, making traditional scraping ineffective. They also needed to extract thousands of product listings in real time, from various cosmetic subcategories like skincare, makeup, and personal care. Data volume was massive, and Coupang’s frequent DOM updates broke most of their in-house scripts. Further complexity arose from inconsistent product specifications and localization in Korean, making categorization difficult. Their need to scrape cosmetic product data using API had previously failed due to rate limits and unstable responses. Ensuring consistent access, clean structuring, and real-time updates made this a high-stakes project. Without a reliable real-time cosmetic product scraping API, their operations were bottlenecked. Manual data entry also became unscalable and prone to errors. They required end-to-end automation to convert raw listings into a standardized Cosmetic Brand Products Dataset, suitable for integration into their internal systems and predictive dashboards.

Key Solution

ArcTechnolabs deployed its advanced Web Scraping API Services , fine-tuned specifically for product data scraping from Coupang. We leveraged a resilient scraping engine using proxy rotation, headless browsers, and custom parsers for dynamic JavaScript content. The system captured live cosmetic listings, pricing, ratings, and stock status across thousands of SKUs. We implemented a fully automated workflow through our Cosmetic product API for e-commerce data, enabling real-time updates and alerts for any new launches or price changes. Data was normalized, translated where required, and categorized using NLP models. The client could now easily run their analytics using our structured Beauty Products Data Scraping Services. For scalability, we integrated our solution with their internal database through secure API endpoints. Additionally, we offered Mobile App Scraping Services to track app-exclusive offers. Our system ensured 99.9% uptime, giving the client continuous access to an evolving market. We also enabled historical comparisons, vital for seasonality trend analysis. This comprehensive web scraping cosmetic data via API solution positioned them ahead of competitors in spotting demand trends and new brand entrants.

Client Testimonial

"ArcTechnolabs delivered far more than just data—they delivered clarity. Their product data scraping from Coupang gave us daily insights we couldn't get elsewhere. The automation, accuracy, and speed of their APIs are exceptional. We've since expanded into more product categories with them."

— Head of Data Strategy

Conclusion

Thanks to ArcTechnolabs’ powerful product data scraping from Coupang solution, the client now makes data-driven decisions faster than ever. They’ve significantly reduced manual research time, improved forecasting accuracy, and deepened client relationships through better insights. The integration of Cosmetic Brand Products Dataset with internal systems boosted agility and responsiveness. By leveraging our tailored Web Scraping API Services, they transformed scraping into a scalable intelligence platform. Whether it's tracking new lipsticks or seasonal skincare kits, ArcTechnolabs’ scraping engine delivers data that matters—efficiently, legally, and in real time.