Emrah Gunel
Full-Stack Developer | eCommerce, Web Scraping & Automation Expert
I’m a full-stack developer who builds fast, scalable, and intelligent digital systems. With deep hands-on experience across Python, Node.js, React, Next.js, and Shopify, I design solutions that blend clean engineering with business impact.

I specialize in eCommerce development, web scraping, automation, and high-performance web applications—creating tools and experiences that help businesses work smarter, sell more effectively, and scale without friction.

My approach combines technical depth with product intuition: transforming complex challenges into simple, intuitive, and reliable systems.
My recent projects </>
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Portal Scscourt Website Information Scraper

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Designed and implemented a high-performance web-scraping system capable of reliably extracting court information. Leveraged Python, tls_client, multi-threading, rotating proxies, and Apify to ensure scalability, efficiency, and resilient data collection.

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Python Apify tls_client Multi-Threading
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Coaster Furniture Website Product Scraper

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Designed and implemented a high-performance web scraping system capable of extracting over 5,000 product records in under 30 minutes from coaster.coasteramer.com using Python, Node.js, Playwright, and TypeScript. Optimized concurrency through multi-threading and asynchronous task management, achieving significant throughput improvements while maintaining data accuracy and reliability. Leveraged TLS client session management to handle secure requests efficiently and ensuring stable, large-scale data collection. Integrated error handling, rate limiting to sustain continuous scraping under production load.

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Python Node.js Playwright Apify tls_client Multi-Threading
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Haworth (Shopify Theme Build)

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Haworth Inc. is a privately held, family-owned office furniture manufacturer headquartered in Holland, Michigan, United States.

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Shopify Shopify Theme Build HTML CSS JavaScript
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Ashleydirect.com Python Web Scraper

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Successfully engineered a high-performance data extraction pipeline for AshleyDirect.com using Python, tls_client, Apify, and Multi-Threading. The system efficiently scraped and processed 10,000+ product records with full reliability and session management.

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Python tls_client Apify Multi-Threading
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Apify web scraping actors

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Developed and maintained over 50 Apify actors to efficiently scrape court probate information, leveraging Node.js, TypeScript, Puppeteer, Playwright, and Crawlee to ensure robust, scalable, and high-performance data extraction workflows.

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Node.js Typescript Puppeteer Playwright Crawlee Docker Apify
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Google Map Automation Scraper

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Developed a Python-based Google Maps scraper utilizing Selenium, Beautiful Soup, and Requests to efficiently extract business contact data for fence installers, garage door suppliers, and security system providers across the United States.

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Python Selenium Beautiful Soup Request multithreathing
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Booty By Bret

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Booty by Bret is an affordable, flexible, and highly effective glute-building program created by the world's foremost expert in glute training, Bret Contreras, PhD, CSCS, and personal trainer for 20 years. The workouts in this program are the exact workouts used at Glute Lab by members of Bret’s Glute Squad and are highly efficient to maximize aesthetics, body composition, strength, and athletic goals.

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Woocommerce React Next.js Node.js Express.js CMS Management
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Solana Token Analysis Bot

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This is an advanced Solana token analysis and execution bot using Python, RPC, Requests, Web3, and Solana Transaction APIs to enable real-time, automated trading on the Photon platform. By integrating Web3 protocols and leveraging parallel processing, the bot achieved rapid response times and reliable performance within the decentralized Solana ecosystem, demonstrating a robust application of blockchain analytics and automation technologies.

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Python Web3 Request Solana RPC
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carsales.com.au data scraper

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Engineered a high-performance web scraping system using Python, Selenium, Selenium-Driverless, and Requests to extract over 130,000 automotive sales records from carsales.com.au. The extracted datasets were processed and structured into CSV format for advanced analytics, enabling comprehensive market insights and data-driven decision-making within the automotive domain.

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Python Selenium Selenium-driverless Request CSV
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Eric Cressey

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A highly sought-after coach for healthy and injured athletes alike, Eric has helped athletes at all levels – from youth sports to the professional and Olympic ranks – achieve their highest levels of performance in a variety of sports.

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Woocommerce CMS management Node.js Express.js Typescript
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