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Shubham Nayak

cryptolegit

CTI analyst & data engineer. I build Playwright scrapers and intelligence pipelines. Physics grad. I find signal in noise.

ACTOR STATS

1 public Actor

2 total users

1 monthly user

>99% runs succeeded

Hey, I'm Shubham 👋

I'm a data engineer and automation developer based in India. By day I work as a Threat Intelligence Analyst at TechOwl InfoSec — building automated pipelines that monitor Telegram channels, dark web forums, and clearnet sources for stealer logs, brand abuse, and threat actor activity.

By night I build production-grade Apify actors that apply the same scraping and data engineering muscle to e-commerce intelligence.

What I work with

  • Scraping: Playwright, Python, TypeScript, Crawlee
  • Data: ClickHouse, Elasticsearch, PostgreSQL, Python (Pandas, SQLAlchemy)
  • Automation: REST APIs, LLM-based classification, workflow orchestration
  • Stack: Node.js, FastAPI, Docker, Linux

Why I build on Apify

My CTI work taught me that good data pipelines are the difference between reacting to threats and predicting them. The same is true for price intelligence, retail monitoring, and competitive analysis — the buyers I build for need accurate, structured, geo-aware data at scale, not scraped noise.

Every actor I publish is built with the same standards I'd apply to a production intelligence system: deduplication, session isolation, retry logic, structured output, and full field coverage.

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