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I build data systems that don't quietly break: scrapers, pipelines, sync jobs, and the APIs and websites around them. 1,000+ completed projects, 100% Job Success, $500K+ earned on Upwork. What I'm best at: - Data ingestion at scale - Playwright, Puppeteer, Selenium; anti-bot handling, monitoring, scheduled pipelines that grow datasets instead of overwriting them - Full-stack React - Next.js, TypeScript, Tailwind, PostgreSQL/Prisma - Data plumbing - imports, incremental sync, normalization, headless APIs - Rescuing stalled projects - inherited codebases, AI-generated apps that hit their ceiling, "it works but nobody knows why" systems I currently work by invitation only. If your project fits the above, send an invite with a short description and I'll respond quickly.

I extract and build high-quality datasets from complex websites at scale. 𝟮𝟬,𝟬𝟬𝟬+ 𝗿𝗲𝗰𝗼𝗿𝗱𝘀 delivered across multiple sources using scraping, APIs, and smart automation. 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝗰𝗼𝗿𝗲. "Outcome was in high quality and exactly as requested. Can only recommend!" — verified client review. I build web scraping and automation tools that save businesses hours of manual work, delivering clean, structured, ready-to-use data without the back-and-forth. 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 𝗙𝗢𝗥 𝗬𝗢𝗨 ✔ Web scraping, static sites, dynamic JS pages, pagination, large-scale runs across hundreds of pages ✔ Data enrichment, cross-referencing records against multiple sources with email verification and validation ✔ Data extraction, business directories, car listings, product prices, job boards, real estate listings ✔ Multi-source aggregation, scrape from multiple sites, merge and deduplicate into one clean dataset ✔ Automation, Airtable databases, Make workflows, n8n, Google Apps Script web apps, API integrations ✔ Clean output, Excel, CSV, JSON, structured and labeled, ready to use immediately 𝗣𝗥𝗢𝗩𝗘𝗡 𝗥𝗘𝗦𝗨𝗟𝗧𝗦 ✔ 12,500+ US business directory listings (ongoing → 25,000+), multi-category dataset structured by state and city, fully deduplicated ✔ 2,500+ car listings across all 50 US states, delivered in structured Excel in under 3 days ✔ European business directory scraping, extracted names, verified emails, phone numbers, and websites from individual profile pages with MX email verification ✔ 2,600+ record database enriched to 99.6% accuracy, every record verified against multiple sources, full audit trail delivered ✔ Full inventory management system for a reseller, Airtable database, Python data migration, Google Apps Script web app, and Make automation syncing sales across platforms ✔ AI lead qualification workflow using n8n, Gemini API, Slack, Gmail, and Google Sheets, automated scoring and routing of incoming leads ✔ Automated report verification system at Tunisia's National Cybersecurity Agency, Python, Flask, PostgreSQL, real-time dashboards 𝗧𝗢𝗢𝗟𝗦 𝗜 𝗨𝗦𝗘 Python · Selenium · BeautifulSoup · Requests · Airtable · Make · n8n · Google Apps Script · Excel · CSV · JSON · Flask · PostgreSQL 𝗪𝗛𝗬 𝗖𝗟𝗜𝗘𝗡𝗧𝗦 𝗛𝗜𝗥𝗘 𝗠𝗘 ✔ 100% Job Success Score ✔ Automation-first, I build it to run itself, not just once ✔ Fast delivery, most projects done in 48–72 hours ✔ Clear communication, regular updates, no disappearing ✔ I focus on your result, not just writing code Need data extracted or a task automated? Send me a message and I'll tell you exactly how I'd approach it.

🚀 Python Data Engineer | Web Scraping & Automation Expert | Data Extraction, ETL & GoHighLevel. Need reliable data from websites, APIs, PDFs, documents, or online directories delivered directly into your CRM, database, or business workflows? I help businesses automate data collection, processing, and integration using Python-based solutions that are scalable, accurate, and built for long-term reliability. ✅ Services * Web Scraping & Data Extraction * Web scraping, crawling, and data mining * Dynamic website scraping (JavaScript-heavy sites) * Data extraction from websites, APIs, PDFs, spreadsheets, and documents * Lead generation and web research * Scheduled and real-time data collection Data Processing & ETL * Data cleaning, validation, normalization, and enrichment * CSV, Excel, JSON, XML, and database exports * Custom ETL pipelines and workflow automation * Data deduplication and quality assurance Automation & Integrations * GoHighLevel (GHL) automation and CRM integration * REST & GraphQL API integrations * Workflow automation and data synchronization * Airtable, Google Sheets, and third-party platform integrations Databases & Cloud * MySQL, PostgreSQL, MongoDB, Firebase * AWS, Google Cloud, and DigitalOcean deployment * Automated data storage and pipeline monitoring ✅ Why Clients Work With Me ✔ Extensive experience across hundreds of scraping and automation tasks ✔ Expertise in Python, Scrapy, Selenium, Playwright, BeautifulSoup, and API integrations ✔ Clean, structured, production-ready data with validation and quality checks ✔ Experience handling large-scale scraping projects across thousands of pages and records ✔ End-to-end solutions from data extraction and processing to automation and CRM integration ✔ Focus on reliability, maintainability, and business outcomes rather than just collecting data 🔄 Typical Workflow Website / API / PDF → Data Extraction → Cleaning & Validation → Database / CRM → Automation & Reporting Whether you need a simple scraper, a large-scale data pipeline, lead generation system, GoHighLevel integration, or a fully automated workflow, I can help you build a solution that saves time and scales with your business. 💡 Let's discuss your project and turn manual processes into automated, reliable systems.

If a website fights back - enterprise anti-bot, hidden APIs, court and government platforms - that's exactly what I've specialized in for 9+ years. When standard scraping tools and AI scrapers hit a wall, that's where my work starts: getting the data out at scale, and keeping the pipeline alive long after the demo. I go deepest in real estate and public records (court filings -> ownership and foreclosure signals), but the same systems run price monitoring across UK retail, marketplace sync behind enterprise anti-bot, and B2B lead generation. Whatever the source, you get working infrastructure that runs daily - not a zip file with a script in it. I've spent 9+ years on Data Extraction & Pipelines (20+ in technology, with a network security background) getting data out of sources that don't want to give it up, and turning it into systems my clients run their businesses on: deal sourcing, lead generation, price monitoring, market intelligence. Clients usually come to me when: - An existing extraction process keeps breaking and the data it feeds can't be trusted anymore - The data lives behind protected sites, anti-bot, or a hidden API no off-the-shelf tool reaches - The work spans many counties or platforms and needs one system, not one-offs per source - They want ownership distress signals before competitors find them - Public records need turning into lead generation and skip-tracing workflows - The data has to stay current - ongoing monitoring, not a one-time export Where I'm genuinely hard to replace: Protected sites and hidden APIs. Akamai, Cloudflare, DataDome, PerimeterX, reCaptcha, device fingerprinting. Mobile and web reverse engineering to reach hidden APIs when the protocol allows it - direct platform connections over headless browsers. When standard web scraping tools and AI scrapers hit a wall, this is the work I've specialized in for years. And if a target is technically or legally not viable, I'll tell you that too, before you spend money. Court and government platforms. Tyler Odyssey, Socrata, Granicus, Laserfiche, CivicPlus, ArcGIS and a few dozen more I've already mapped. Here's the thing most people miss: what looks like hundreds of different government websites is usually a handful of underlying platforms. On a recent project, 250+ government sites came down to 10 integrations. Build the adapter once and the same system covers an entire state. Your project starts further ahead because of every project before it. Pipelines that stay alive. Monitoring, alerting, retries, data quality checks, AI-assisted classification where it makes sense. I've taken over plenty of projects where the previous solution worked great in the demo and died three weeks later. Getting the data out is half the job. I also wire it into the systems your team already runs - CRM, database, sheets, scheduled reports (HubSpot, Postgres and the like) - so the pipeline ends where you actually work, not in a raw file. Selected work: - 150,000+ grocery products monitored every 2-5 hours across major UK retailers - 125,000+ automotive parts synchronized daily from marketplaces behind enterprise anti-bot Court records pipeline detecting ownership distress signals across 225+ counties, feeding real estate acquisition workflows - 100,000+ real estate listings deduplicated and merged with ownership, tax and valuation data for AVM workflows - 96,000+ business entities extracted from government registries, classified by industry with LLMs, enriched with contact data - 250+ government sites analyzed and reduced to 10 platform integrations - 5,000+ municipal meetings scraped and analyzed with AI keyword intelligence across five government platforms; adding a new jurisdiction requires zero code changes Not sure if your target is even extractable? Every project starts with a short feasibility check: I map the source, the protection layer and the realistic effort, so you know what is viable before committing to a build. If it cannot be done reliably (or legally), I tell you upfront and you spend nothing chasing it. --- real estate data, property data, real estate leads, mls data, foreclosure data, court records monitoring, government data, municipal data, regulatory data, foia, competitor intelligence, data pipeline, automated data pipeline, scheduled extraction, data orchestration, proxy rotation, browser automation, python automation, data classification, data normalization, data enrichment, data validation, document extraction, structured data delivery, supabase, ai data processing, llm integration, demandstar, tyler odyssey, granicus, primegov, legistar, civicplus, agendacenter, civicclerk, escribe, agendalink, laserfiche, swagit, hyland onbase, iqm2, civicweb, boarddocs, diligent, revize, municode, destiny, veconnect, tyler energov, arcgis hub, ckan, accela, opengov, clerk of courts, property appraisers.

I help businesses stop wasting hours on manual document processing by building Python, OCR, AI, and automation systems that convert messy documents into clean, structured, usable data. 🚀 My work is not just “OCR” or simple copy-paste automation. I build practical tools, Python scripts, REST APIs, and MVP workflows that can extract data from PDFs, scanned documents, invoices, receipts, purchase orders, bank statements, forms, reports, and images — then clean, validate, review, and export the results into Excel, CSV, JSON, Google Sheets, databases, or API-ready formats. ⚙️ What I can help you build: ✅ Python scripts for PDF, OCR, image, and data extraction automation ✅ PDF to Excel / CSV / JSON conversion workflows ✅ OCR pipelines using Google Vision OCR, Tesseract, OpenCV, PyMuPDF, and AI models ✅ Invoice, receipt, purchase order, bank statement, and form parsing systems ✅ REST APIs for document upload, processing, extraction, and export ✅ MVP tools for document processing platforms and internal business automation ✅ Human-in-the-loop review systems to improve accuracy before final export ✅ Excel automation, data cleaning, matching, validation, and reporting ✅ Google Sheets automation and structured data workflows ✅ Web scraping and API-based data collection when needed ✅ Custom automation tools that replace repetitive manual work 🧠 My main advantage: I combine strong manual data extraction experience with real Python automation skills. That means I understand both sides of the problem: 1. The accuracy needed when dealing with messy, real-world documents 2. The technical automation needed to process files faster and more reliably at scale I have worked on OCR and document automation projects involving scanned PDFs, financial documents, purchase orders, invoices, receipts, bank statements, forms, Google Drive OCR pipelines, Excel automation, structured data conversion, and AI-assisted document parsing. I also build review workflows where uncertain values are flagged for human review instead of blindly exporting incorrect data. This is especially useful for businesses that need high accuracy, auditability, and clean final outputs. 💡 Example workflows I can build: A user uploads PDFs or scanned images → the backend extracts the required fields → low-confidence or unclear values are sent to a review screen → the final approved data is exported to Excel, CSV, JSON, Google Sheets, or sent through a REST API. Another example: A business receives invoices, POs, or reports every day → a Python automation processes the files → extracts key fields and line items → validates the data → highlights missing or uncertain values → generates a clean Excel report ready for use. I care about building solutions that are practical, accurate, and useful in real daily work — not just scripts that work on one perfect sample file. If you have sample files, send me 1–3 examples and I can review the structure, suggest the best workflow, and explain the expected accuracy, cost, and implementation approach.

I build Python automation systems, AI integrations, and web scraping pipelines that make businesses run faster with less manual work, fewer errors, and zero constant babysitting. 10+ years building production-ready solutions for startups and businesses. If it can be automated, I'll automate it. 🤖 AI integration & LLM development: I build AI-powered apps and workflows using OpenAI GPT-4, Anthropic Claude, and Gemini APIs. My work covers RAG pipelines, vector databases, LangChain, LlamaIndex, AI agents, custom GPTs, and AI chatbots for customer service, lead generation, and internal operations. ⚙️ Python automation & API integrations: I design and build Python workflow automation, business process automation, ETL pipelines, and REST API integrations that run on autopilot. From CRM automation (HubSpot, Salesforce) to Google Sheets syncing, Slack bots, email automation, and n8n / Make / Zapier flows — I connect your tools and eliminate manual work entirely. I focus heavily on automation and data extraction systems that remove repetitive manual work and turn complex business processes into reliable, scalable pipelines. Whether it's automation across APIs or large-scale data extraction from web platforms, I build systems that run continuously with minimal oversight. 🕷️ Web scraping & large-scale data extraction: Proven track record in high-frequency, large-scale web scraping using Playwright, Selenium, Scrapy, Requests, and BeautifulSoup. I handle JavaScript-rendered pages, pagination, login-protected sites, anti-bot bypass, and proxy rotation. Data delivered clean in CSV, JSON, Excel, MongoDB, MySQL, or SQLite. 🗄️ Data engineering & ETL pipelines: I build data pipelines that move, clean, and transform large datasets for reporting and analytics. Experience with AWS Lambda, EC2, MongoDB, MySQL, and SQLite for scalable data engineering solutions. 🛠️ Tech stack AI / LLM - OpenAI · Claude · Gemini · LangChain · LlamaIndex · RAG · Vector DBs · AI Agents Automation - Python · n8n · Make · Zapier · REST APIs · Webhooks · ETL Pipelines - Bots - Trading Bots Scraping - Playwright · Selenium · Scrapy · BeautifulSoup · Requests · Proxy · Anti-bot Databases - MongoDB · MySQL · SQLite · CSV · JSON · Excel Cloud - AWS · Lambda · EC2 Message me with your problem - I'll reply fast with an honest plan, clear timeline, and no fluff. Let's build something that actually works.