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ajaykumar617

ajay

@ajaykumar617

Expert Web Scraping and Automation Expert

India
English, Hindi
About me
Hi, I’m Ajay 👋 — a professional web scraping and automation expert with years of hands-on experience turning raw websites and apps into structured, ready-to-use data. I specialize in: Web Scraping & Data Extraction – E-commerce, real estate, job portals, directories, reviews. Anti-Bot & Reverse Engineering – Overcoming CAPTCHAs, rate limits, and protected sites. Mobile Automation (Android & iOS) – App data scraping, UI automation, and custom bots. Social Media Data – Facebook, Instagram, LinkedIn profile & engagement data for lead generation and analytics.... Read more
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ajaykumar617
ajay
Offline • 

See my services

Data Scraping
I will scrape event app data attendees, speakers, exhibitors, sponsors from any app
Data Scraping
I will scrape any website and deliver clean data in any format

Work experience

Wealth_Excel

Senior Software developer

Wealth Excel • Full-time

Aug 2019 - Mar 2024 • 4 yrs 7 mos

- Designed and maintained scalable web scraping infrastructure to extract structured data from complex, dynamic websites using Python, Scrapy, Selenium, and Playwright. - Built robust anti-detection systems including proxy rotation, user-agent spoofing, CAPTCHA solving integration, and request throttling to ensure high success rates. - Developed data pipelines to clean, validate, and ingest scraped data into databases (PostgreSQL/MongoDB) and data warehouses for downstream analytics. - Reverse-engineered JavaScript-rendered sites and mobile APIs to identify reliable data endpoints and minimize scraping overhead. - Mentored junior developers on scraping best practices, legal compliance (robots.txt, terms of service), and ethical data collection standards. ## Key Achievements - Reduced scraping failure rates from ~35% to under 5% by architecting a distributed crawling system with automatic retry logic and dynamic fingerprint rotation. - Scaled data collection from 100K to 2M+ pages per day by migrating from single-instance scripts to a Kubernetes-based microservices architecture. - Cut infrastructure costs by 40% through intelligent caching, selective headless browsing, and switching to lightweight HTTP-based scraping where possible. - Delivered a real-time competitor pricing monitoring system that processed 500K+ SKUs daily, directly supporting revenue optimization decisions. - Implemented a monitoring and alerting dashboard (Grafana/Prometheus) that reduced mean time to detection (MTTD) for scraper failures from hours to under 10 minutes.