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Explore how Lazada and TikTok Shop data scraping empowers student research with real-world datasets for pricing, trends, and product analysis accuracy.
In the era of digital commerce, universities and research institutions are increasingly relying on real-world datasets to power data-driven academic projects. Actowiz Solutions partnered with a leading Southeast Asian university to support a large-scale student research initiative focused on eCommerce trends and pricing behavior. Through advanced Lazada and TikTok Shop data scraping, we enabled the creation of a structured, verified, and region-specific product dataset collection for research. This helped students analyze real-time price variation, promotional patterns, and product availability across both platforms.
With TikTok and Lazada dominating the eCommerce landscape in Southeast Asia, gathering actionable datasets has become essential for accurate academic modeling. Our expertise in Web Scraping TikTok Data and Extract Lazada Website Data ensured that students received precise and relevant data, fueling impactful research outcomes.
The client was a prominent research university in Southeast Asia with a dedicated data science department. Their final-year undergraduate and postgraduate students were tasked with conducting real-time product pricing and trend analysis using live eCommerce data. They required scalable and dependable access to Lazada and TikTok Shop datasets for university projects that would align with industry expectations and provide deep insights into consumer behavior and product positioning.
The department's key objective was to build a rich academic dataset for product analysis across various product categories such as electronics, beauty, fashion, and household goods. They also sought tools that could help them monitor pricing discrepancies, seller strategies, and influencer-driven marketing trends on TikTok Shop. The faculty emphasized the need for a reliable partner capable of offering end-to-end Lazada and TikTok Shop data scraping.
One of the major challenges was the dynamic nature of pricing and product listings on both TikTok Shop and Lazada. Prices changed frequently due to flash deals, limited-time discounts, and influencer promotions. Static data dumps were inadequate, and what the students needed was real-time product data for student analysis. Moreover, conventional scraping tools failed to bypass CAPTCHA challenges, JavaScript rendering, and regional localization settings that personalized product views.
Another issue was the scalability of product dataset collection for research. The university needed a large volume of consistent, structured data that was categorized by brand, seller, and pricing history. Gathering such datasets manually or using public APIs was insufficient and time-consuming. Furthermore, legal and ethical considerations surrounding data collection for academic purposes required a solution that was compliant and respectful of platform guidelines.
Lastly, sourcing tools that could effectively handle dataset collection from Lazada for academic projects and scrape TikTok’s short-form commerce content proved to be a bottleneck. The research projects needed more than just price listings—they required reviews, seller ratings, engagement stats, and even TikTok video metadata where applicable.
Actowiz Solutions deployed a customized data scraping pipeline using our proprietary TikTok Shop product scraping tool and Lazada Data Scraping API. These tools were tailored to extract clean, structured, and real-time data across multiple categories, enabling students to capture accurate eCommerce snapshots over time. Our TikTok Data Scraper retrieved metadata including product pricing, influencer tags, engagement metrics, and video links, while the Lazada tool captured pricing, shipping, seller, and promotional data across regions.
We also provided scalable modules for product dataset collection for research, allowing faculty and students to define parameters such as SKU, category, time intervals, and region filters. This not only ensured academic consistency but allowed students to experiment with various research hypotheses using controlled datasets.
To overcome rendering and localization issues, we used browser emulation with smart IP rotation, ensuring uninterrupted data access even during platform peak hours. Actowiz also built a frontend dashboard where students could visualize trends, filter by brands, and export datasets for integration with R, Python, or Excel.
Our commitment to ethical data sourcing was critical. We aligned with platform T&Cs where applicable and provided datasets through a read-only mode strictly for educational use. These tools gave students a hands-on experience in working with live datasets, which directly enhanced their understanding of digital commerce in Southeast Asia.
In summary, Actowiz Solutions enabled seamless Lazada and TikTok Shop data scraping, helping the university build and maintain high-quality product dataset collection for research that supported over 60 final-year projects in 2024 alone.
"Actowiz delivered exactly what we needed—a secure and scalable solution for real-time data collection from TikTok Shop and Lazada. Their scraping tools gave our students unprecedented access to real market behavior. It was an essential part of our research curriculum."
— Head of Data Science Department
This case study demonstrates the critical role of Lazada and TikTok Shop data scraping in empowering student-led research across Southeast Asia. Actowiz Solutions provided a robust technical infrastructure, enabling actionable insights and hands-on experience for future data professionals. By bridging academic needs with industry-grade data pipelines, we helped students learn from real-world commerce behavior in an ethical, compliant, and impactful manner.
If your institution is looking for advanced tools for product dataset collection for research, including tools to scrape product data from Southeast Asia platforms, look no further. Partner with Actowiz Solutions to bring real-time data into your classroom today!
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.