Full-Stack · Automation · Web Scraping

Scalable Web Scraping
Using Node.js and ProxyMesh

How we built a Node.js scraper that pulled pricing and availability data from a large e-commerce site at over 10,000 requests an hour.

ClientConfidential (NDA)
IndustryE-Commerce · Retail
Core stackNode.js, ProxyMesh
EngagementAutomation tooling development
The challenge

The client needed a web scraper to extract data from a large e-commerce site, but anti-scraping measures made reliable data gathering difficult.

Our solution

We built a Node.js application that used ProxyMesh to rotate proxies seamlessly and avoid detection - scaling to 10,000 requests an hour while surfacing product pricing and availability insight.

Results achieved
10,000+
Requests per hour sustained
95%
Success rate maintained

*Due to the terms of our Non-Disclosure Agreement (NDA), the client's identity and website URL remain confidential.

Need reliable data extraction at scale?

Our engineers can build scraping infrastructure that holds up against anti-scraping defenses.

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Location
Jaipur, India · Global delivery
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