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Development of Scalable Product Information Aggregation Platform with Azure Integration and Automated Crawling
  1. case
  2. Development of Scalable Product Information Aggregation Platform with Azure Integration and Automated Crawling

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Development of Scalable Product Information Aggregation Platform with Azure Integration and Automated Crawling

intexsoft.com
Information technology
eCommerce
Business services

Challenges in Product Data Aggregation

Lack of technical specialists to redevelop and scale a product information aggregation prototype, difficulties in extracting data from SPA-based online stores, inefficient crawler management, and absence of telemetry and scalable storage solutions

About the Client

Data science-focused company requiring technical expertise to build and scale product data aggregation infrastructure

Objectives for Aggregation Platform Development

  • Redevelop existing prototype framework for improved performance
  • Implement SPA scraping capabilities using Selenium
  • Create API for forced product data updates and crawler status monitoring
  • Establish scalable infrastructure with proxy management
  • Integrate Azure Blob Storage for data persistence
  • Implement telemetry via Azure App Insights

Core System Functionalities

  • SPA store scraping using headless browsers
  • RESTful API for data update triggers and status reporting
  • Dashboard for crawler/scrapers management
  • Multi-format data export (JSON, CSV, XML)
  • Azure Blob Storage integration for structured data storage
  • Telemetry dashboard with system health metrics

Technology Stack Requirements

Selenium for browser automation
Azure Blob Storage
Azure Application Insights
Docker containerization
Proxy rotation infrastructure

System Integration Needs

  • Azure Blob Storage for data persistence
  • Azure Data Factory for ETL processes
  • REST API for external system communication
  • Docker container orchestration

Non-Functional Requirements

  • Horizontal scalability for 100+ concurrent crawlers
  • 99.9% system uptime SLA
  • Data processing latency under 500ms
  • Enterprise-grade security with RBAC
  • Automated failover and retry mechanisms

Expected Business Impact

Enables efficient aggregation of product data from 38+ online stores with real-time updates, reduces manual data collection efforts by 80%, improves data accuracy through automated validation, and provides actionable business intelligence through integrated telemetry dashboards

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