Abdullah C.

When ordinary scrapers fail and return broken data, I step in. I extract protected web data hidden behind anti-bot blocks, strict rate limits, dynamic JavaScript, and internal APIs. Over the past 3+ years, I’ve completed 150+ custom data extraction projects across multiple platforms, saving clients hundreds of hours of manual research. My solutions serve real estate investors, automotive intelligence teams, tax compliance firms, and lead generation agencies who need zero-loss, high-accuracy data delivered straight to their pipelines. ⭐ Client Testimonials: 💬 "Abdullah asked exactly the right questions and filled in the gaps I left. A genuinely great experience." Josh Cissel | Founder, Cissel Management Co, LLC 💬 "Produces extremely high-quality work with clear, easy communication." Joseph | Director of Operations, Apex Systems Engineering 💬 "Successfully handled strong anti-bot mechanisms where others failed. Highly skilled!" Wahab | Lead Engineer, Global E-commerce Solutions 💡 Projects I have worked on: ✅ Google Maps & Google Search: High-volume B2B lead generation scraper harvesting business directories, locations, contact info, ratings, and search SERP listings. ✅ Tax Lien & County Portals: Specialized public record scraping for judicial tax liens, property auction ledgers, and municipal legal filings across US county databases. ✅ Zillow & Crexi: Real estate data extraction for residential and commercial listings, capturing property values, square footage, zoning data, and broker contacts. ✅ Amazon, eBay & Target: E-commerce catalog scraping for price monitoring, stock levels, seller metrics, product reviews, and inventory tracking. ✅ Carvana : Large-scale web scraping and data extraction pipeline harvesting 100+ vehicle spec attributes, VINs, and pricing histories across 100K+ listings. ✅ Instagram Scraper: Comprehensive data scraping engine extracting profiles, posts, engagement metrics, full comment replies, and public contact info (emails & phone numbers). ✅ Reddit Scraper: Deep web crawling and data extraction capturing subreddits, multi-level nested comment trees, user metrics, and media assets (images & video streams). ✅ Facebook Scraper: Automated data extraction across Pages, Profiles, and Groups to harvest posts, reaction breakdowns, and comment hierarchies. 🛠️ My Tech Stack 1. Scraping & Requests: Python, HTTPX, Requests, Scrapy, BeautifulSoup. 2. Browser Automation: Playwright, Selenium, SeleniumBase, Undetected-Chromium 3. Data Pipelines & Storage: Pandas, Pydantic, CSV, JSON, Google Sheets API, PostgreSQL, Supabase, MongoDB 4. Deployment: Docker, Linux VPS (Ubuntu), Crontab / Scheduled Automation If you're tired of broken scrapers, incomplete datasets, or getting blocked by anti-bot systems, let's talk. Send me a message with a brief description of your project and the target website and I'll review the site architecture, test the anti-bot parameters, and get back to you with a clear execution plan. Related Keywords Web Scraping, Data Extraction, Data Scraping, Web Crawling, Data Mining, Screen Scraping, API Scraping, Reverse Engineering APIs, Dynamic Web Scraping, JavaScript Scraping, Browser Automation, Python Web Scraping, Playwright, Selenium, SeleniumBase, Scrapy, BeautifulSoup, HTTPX, Asyncio, Headless Browsers.