The client needed to monitor product pricing and catalog data across 500 competitor websites daily. Manually visiting these sites was impossible, and existing off-the-shelf scrapers struggled with the diverse, dynamic architectures of different e-commerce platforms. They needed a custom, automated solution that could handle massive data volumes with precision.
Solution Delivered
- Developed a custom Python-based web scraping engine tailored for e-commerce.
- Built individual site-parsers that could handle dynamic content loading (AJAX/JS) on 500 different domains.
- Automated the data cleaning and standardization process to deliver a single, unified dataset every 24 hours.
Impact & Results
- Provided the client with real-time market intelligence that was previously impossible to obtain.
- Significantly improved the client’s pricing strategy through data-driven insights.
- Eliminated thousands of hours of manual labor, allowing the team to focus on high-level analysis.
