How an Agribusiness Achieved E-commerce Precision with Web Scraping

It’s easy to understand the upfront cost of purchasing a service. What’s harder to anticipate are the hidden operational and opportunity costs that surface once the work begins.

One such challenge was managing the volume of files. Delivering 500 files per day—one for each product category—was technically correct but operationally inefficient. It required significant manpower and introduced backend complexity for both teams.

We proposed a simpler, smarter alternative: consolidate daily extractions into a single file, and embed filters that allow sorting by product category. This allowed our partner to focus their time on working with the data—not wrangling it.

The second challenge—anti-bot defenses—was a different beast. Several target sites had strict geo-location targeting and rate limits, which restricted how many requests could be made from a given region or IP.

Overcoming these defenses requires more than just proxies. It demands robust scraping infrastructure, dynamic IP rotation, and engineers capable of spinning up virtual machines in parallel—all without triggering detection. That’s exactly what we’re built for.

In the end, we delivered a fully automated system that extracted all required data points—accurately and efficiently. Our partner was able to deliver results to their client without delays or manual intervention.

A win-win, all around.