In this case study, we partnered with a leading retail analytics firm seeking accurate marketplace insights from Australia’s popular eCommerce platform. The client needed structured, real-time information on pricing, product descriptions, discounts, ratings, and seller details to strengthen competitive benchmarking and dynamic pricing strategies. Our team designed a scalable extraction framework to scrape product data from Kogan efficiently while maintaining high accuracy and compliance standards.
To streamline operations, we deployed an automated Kogan product scraper capable of handling thousands of product URLs daily with intelligent scheduling and proxy rotation. The system ensured uninterrupted data flow, reduced duplication, and delivered clean datasets in customized formats such as CSV and API feeds.
Additionally, we implemented Kogan stock availability scraping to monitor inventory fluctuations and promotional trends. This enabled the client to identify fast-moving products, track restocking patterns, and optimize their own pricing decisions. As a result, the client achieved improved market visibility, faster decision-making, and measurable revenue growth.
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The client approached us after facing persistent challenges in gathering accurate and timely marketplace intelligence from Kogan. Their internal team struggled with inconsistent data collection, frequent website structure changes, and missing product attributes that affected reporting accuracy. Manual tracking methods were time-consuming and failed to deliver real-time insights, especially for Kogan competitive price tracking, where even small pricing shifts significantly impacted strategy.
They also attempted to rely on limited third-party tools, but those solutions lacked customization and scalability. Without a reliable Kogan price scraping API, the client found it difficult to automate bulk extraction of product prices, discounts, seller details, and availability updates. Data gaps often led to delayed reactions to competitor promotions.
Moreover, inaccurate datasets disrupted Kogan price benchmarking efforts, making it hard to compare performance across categories. These operational inefficiencies resulted in slower decision-making, reduced competitiveness, and missed revenue opportunities in a fast-moving eCommerce environment.
To overcome the client’s challenges, we designed a scalable and intelligent extraction ecosystem tailored to marketplace dynamics. We deployed AI-powered Kogan product scraping to automatically detect layout changes, categorize products accurately, and extract structured data including price, ratings, seller details, and discount information with high precision.
Our team integrated a secure E-commerce data scraping API that delivered real-time, customizable data feeds in CSV and JSON formats. This allowed seamless integration with the client’s analytics dashboards and internal pricing engines, ensuring faster competitive reactions.
We also delivered clean, normalized eCommerce product Datasets with validation layers to remove duplicates, flag anomalies, and maintain consistency across categories. Automated scheduling and stock monitoring enabled daily updates without manual intervention, significantly improving operational efficiency and data reliability.
| Product ID | Product Name | Category | Seller | Original Price (AUD) | Discounted Price (AUD) | Discount % | Rating | Reviews | Stock Status | Last Updated |
|---|---|---|---|---|---|---|---|---|---|---|
| KG101 | 4K Smart TV 55” | Electronics | Kogan AU | 899 | 749 | 17% | 4.5 | 1,245 | In Stock | 12-02-2026 |
| KG102 | Wireless Earbuds Pro | Electronics | Kogan AU | 199 | 149 | 25% | 4.3 | 842 | In Stock | 12-02-2026 |
| KG103 | Robot Vacuum Cleaner | Home Appliances | SellerX | 599 | 499 | 17% | 4.1 | 563 | Low Stock | 12-02-2026 |
| KG104 | Office Chair Ergonomic | Furniture | SellerY | 299 | 239 | 20% | 4.4 | 390 | In Stock | 12-02-2026 |
| KG105 | Gaming Laptop 16GB RAM | Computers | Kogan AU | 1499 | 1349 | 10% | 4.6 | 275 | Out of Stock | 12-02-2026 |
| KG106 | Air Fryer 7L Digital | Kitchen | SellerZ | 249 | 199 | 20% | 4.2 | 618 | In Stock | 12-02-2026 |
| KG107 | Fitness Smartwatch | Wearables | Kogan AU | 179 | 129 | 28% | 4.0 | 704 | In Stock | 12-02-2026 |
| KG108 | Electric Kettle Steel | Kitchen | SellerX | 89 | 69 | 22% | 4.3 | 511 | Low Stock | 12-02-2026 |
| KG109 | Bluetooth Soundbar | Electronics | SellerY | 349 | 299 | 14% | 4.5 | 328 | In Stock | 12-02-2026 |
| KG110 | Mattress Queen Size | Home & Living | Kogan AU | 799 | 699 | 13% | 4.4 | 452 | In Stock | 12-02-2026 |
The final outcome of our engagement was a comprehensive, reliable, and automated data solution that transformed the client’s approach to marketplace intelligence. By implementing our ecommerce data scraping services, the client gained access to structured product data, real-time pricing updates, stock availability, and promotional trends from Kogan. This enabled accurate competitor analysis, efficient inventory management, and faster pricing decisions across multiple categories. The clean and normalized datasets integrated seamlessly with their internal analytics platforms, reducing manual effort and operational delays. Additionally, continuous monitoring allowed the client to respond proactively to market changes, optimize revenue strategies, and enhance overall business performance. Overall, the project delivered measurable improvements in efficiency, accuracy, and competitive visibility, helping the client maintain a strong position in the Australian eCommerce landscape.
“Working with this team has transformed the way we access marketplace data. Their solutions provided accurate, real-time product and pricing information that was previously difficult and time-consuming to collect. The datasets they delivered were clean, well-structured, and easy to integrate with our analytics systems, allowing us to make faster, data-driven decisions. Their team was professional, responsive, and highly attentive to our requirements, offering customized support throughout the project. Thanks to their expertise, we now monitor inventory and competitor trends efficiently, which has significantly improved our operational strategies and overall market competitiveness.”
— Head of E-commerce Analytics
We can extract detailed product information including pricing, descriptions, ratings, reviews, discounts, seller details, and stock availability across multiple categories.
Our systems can provide real-time or scheduled updates daily, weekly, or at custom intervals, ensuring clients always have the most accurate and timely marketplace insights.
Yes, all data is cleaned, structured, and delivered in formats like CSV, JSON, or via API feeds, making it easy to integrate with analytics tools or dashboards.
Absolutely. Our scalable infrastructure supports thousands of product URLs daily, with smart scheduling and proxy rotation to ensure uninterrupted and efficient data collection.
We implement automated validation, normalization, and de-duplication processes to maintain high data accuracy, flag anomalies, and provide reliable datasets for business decisions.
We start by signing a Non-Disclosure Agreement (NDA) to protect your ideas.
Our team will analyze your needs to understand what you want.
You'll get a clear and detailed project outline showing how we'll work together.
We'll take care of the project, allowing you to focus on growing your business.