Scalability
The system was deployed on cloud servers with containerized crawlers running in parallel, capable of scraping millions of records weekly
Data Scraping & Automation for National E-Commerce Retailer
StreamlineX Retail, a fast-growing e-commerce brand, needed a reliable way to track competitor pricing across thousands of SKUs daily. We built a custom data pipeline that delivered clean, accurate pricing data at scale — cutting manual work and giving them a competitive edge.
120k+
Records delivered
98%
Data accuracy
2 Weeks
To deployment
3x
Faster reporting
The Challenge
The client operated in a fiercely competitive retail environment, selling consumer electronics across multiple online marketplaces. Their operations team manually tracked competitor prices, stock levels, and customer reviews by copying and pasting data from websites into spreadsheets. This consumed hundreds of staff hours weekly and left huge gaps in coverage. By the time reports were compiled, the data was already outdated, causing them to lose sales when competitors undercut prices or launched promotions.
Our Approach
We conducted a full audit of their workflows and identified the most valuable data points: competitor pricing, product descriptions, stock availability, and ratings.
Our team built a custom scraping infrastructure using Scrapy + Selenium + Playwright that could handle sites with heavy anti-bot protection.
The Results:
- Competitor monitoring that once took 12 staff members was reduced to a fully automated pipeline.
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The client’s pricing engine began updating within hours instead of days, helping them win 30% more “Buy Box” placements on Amazon.
- Annual savings of over $250,000 in manual labor costs.
- Executives had access to real-time competitive dashboards that reshaped how they strategized promotion
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