Development of an Advanced Product Information Aggregator Platform

The client faces difficulty in efficiently collecting, updating, and managing product information from various online stores, many of which use single-page application (SPA) architectures. They lack the internal technical expertise to develop a robust data aggregation system that ensures timely updates, reliable storage, and comprehensive insights, leading to data inaccuracies and operational inefficiencies.

A medium-sized eCommerce aggregator specializing in collecting and managing product data from multiple online retail stores to enhance inventory management and market analysis.

• Create a scalable system capable of collecting product data from numerous online stores with high accuracy and efficiency.
• Implement mechanisms for scheduled updates and real-time force updates via APIs.
• Design and develop an intuitive dashboard to monitor system operations and data collection status.
• Integrate with cloud storage and data processing services to ensure secure, scalable, and efficient data storage and transfer.
• Scale the system using process optimization, proxy management, and containerization to support extensive web crawling activities.
• Implement telemetry and monitoring tools to track system performance and identify issues proactively.

• Web crawlers and scrapers tailored for SPA (single-page application) stores using automation tools like Selenium.
• APIs enabling manual product data updates and providing real-time status information on data collection processes.
• Integration with cloud storage solutions (e.g., Azure Blob Storage) for scalable data storage.
• Automated data workflows for transferring collected data into cloud storage via data factory integrations.
• Process scaling through multi-process architecture, proxy management, and load distribution.
• Telemetry integration for monitoring system health, performance metrics, and operational analytics.
• Dashboards for system status overview and operation management.
• Containerized deployment using Docker for flexible launching and scaling of data collection tasks.

• Azure Blob Storage for persistent data storage
• Azure Data Factory for orchestrating data transfer workflows
• APIs for manual data update triggers and status reporting
• Proxy services to facilitate scalable web crawling

• System must support scalable crawling operations with at least 38 concurrent scrapers/processes.
• Data collection accuracy and completeness with minimal downtime.
• Secure handling of data and credentials in compliance with industry standards.
• Real-time telemetry and monitoring with alerts for system failure or anomalies.
• Deployment flexibility with containerized architecture for rapid scaling and maintenance.

The development of this advanced product information aggregator aims to enhance data collection efficiency, reduce operational manual efforts, and ensure high data accuracy. It is expected to support processing from multiple online stores with a scalable architecture, ultimately improving decision-making insights, increasing operational reliability, and enabling rapid deployment of updates, leading to increased market responsiveness and competitive advantage.