I am a Senior Frontend & Full-Stack Developer with over 4 years of experience in building high-performance web applications and data-driven tools. My passion lies in optimizing performance and delivering impactful products. I thrive in dynamic environments where I can innovate and collaborate with teams to create seamless user experiences across various platforms.
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Built a scalable Amazon AI-powered scraping system using Node.js and Express that extracts structured, relevant product data directly from Amazon product and search pages.
The scraper intelligently collects:
-Product title
-Bullet points & description
-Price (MRP, deal price, discounts)
-Ratings & review count
-BSR (Best Seller Rank)
-Category hierarchy
-Product images
-Variations (size, color, pack)
-Seller information
-A+ content insights (when available)
Key Highlights
-Built custom scraping logic without relying on third-party Amazon APIs
-Implemented rotating headers and user agents for improved reliability
-Designed structured JSON response for seamless integration
-REST API endpoints built with Express for scalable access
-AI layer for data cleaning, normalization, and keyword extraction
-Error handling & fallback mechanisms for dynamic content
-Optimized for performance and anti-bot resilience
Use Cases
-Amazon listing optimization tools
-Competitor research dashboards
-Market research automation
-Keyword intelligence systems
-E-commerce analytics platforms
Tech Stack
-Node.js
-Express.js
-Axios / Puppeteer (if used)
-Cheerio (if HTML parsing used)
-AI processing layer (OpenAI or NLP-based cleanup)
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