Cloud · Serverless · Automation

Advanced Bot Development to Simulate
Human Web Traffic at Scale

How we built a serverless bot on AWS Lambda and Google Cloud Functions that simulated human traffic across approximately five million websites, undetected.

ClientConfidential (NDA)
IndustryAutomation & Analytics
Core stackAWS Lambda, Google Cloud Functions, ProxyMesh, Smartproxy
EngagementCloud-based automation platform
The challenge
⚠️ Scalability: The solution needed to handle seamless traffic across roughly five million websites.
⚠️ Geographical simulation: The bot had to generate requests from various geographical parts of India.
⚠️ Avoiding detection: The bot needed to emulate human behavior closely enough to bypass website security measures.
⚠️ Google Analytics integration: The bot had to ensure reliable tracking landed correctly in Google Analytics.
Our solution
Cloud-based distributed architecture: Built on AWS Lambda and Google Cloud Functions for scalable, serverless execution.
Geographical simulation: Used ProxyMesh and Smartproxy proxies to generate requests from varied geographical locations.
Proxy rotation & CAPTCHA handling: Rotated proxies and managed CAPTCHAs to avoid detection.
Human-behavior mimicry: Introduced delayed, randomized actions to mimic real human behavior.
Parallel request execution: Ran requests simultaneously for efficiency at scale.
Results achieved
~5M
Websites simulated without compromising performance
Pan-India
Geographical simulation across varied locations
Undetected
Kept detection at bay against aggressive detection engines

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

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