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I build production-grade Python-based data extraction and Web Scraping systems that survive where others fail. Projects range from focused data extraction tasks to large-scale Anti-Bot resilient infrastructures — each engineered for stability, performance, and long-term reliability. Over 12+ years, I’ve designed extraction systems processing 1B+ structured records across marketplaces, aggregators, AI/ML platforms, competitive intelligence systems, and enterprise catalogs. My systems are built using Python, Scrapy, Playwright, and Selenium — combining Web Scraper development, Data Mining, API Integration, and ETL pipeline design into stable, production-grade architectures. Whether you need a targeted scraping solution or a high-volume distributed pipeline, I architect the right system. When data becomes mission-critical — reliability matters more than code. ────────────── What I Build ────────────── • Custom Python Web Scraper and Data Extraction systems aligned with business logic • Scalable web crawlers handling anything from selective datasets to millions of pages • Continuous update pipelines (batch & incremental ETL workflows) • Queue-based distributed processing • High-concurrency execution models • API-based data extraction and system integrations • Clean ingestion into PostgreSQL / MySQL / APIs / cloud storage • Automated validation, deduplication & anomaly detection • Structured Data Mining pipelines for growing datasets You receive structured, business-ready datasets — not scripts to babysit. ────────────── Anti-Bot & Protection Layers ────────────── Modern platforms are protected.I work inside environments guarded by: - Cloudflare (403 / 429 / Turnstile) - DataDome behavioral detection - Akamai Bot Manager - PerimeterX - Reverse engineering of detection vectors & TLS/JA3 fingerprint alignment - Headless & browser fingerprint detection - hCaptcha / reCAPTCHA v3 Enterprise - Sustainable session & token lifecycle management This is not proxy swapping. This is controlled, sustainable access engineering. ────────────── Scale & Cost Control ────────────── As volume increases, scraping typically fails in two ways: 1) Stability collapses 2) Infrastructure & proxy costs explode I optimize concurrency models, routing logic, batching strategy, request distribution, and traffic patterns to maintain high throughput with controlled infrastructure load. Where relevant, I reduce proxy and infrastructure costs by up to 30% while preserving system stability. Result: High uptime. Predictable performance. Controlled margins. ────────────── Future-Proofing ────────────── Websites evolve. Structures change. Protection layers update. I implement structural drift monitoring and heartbeat systems that detect site changes before pipelines fail — shifting from reactive recovery to proactive control. Most developers fix scraping after it breaks. I design systems that minimize breakage from the start. ────────────── Who This Is For ────────────── • Founders building data-driven products • AI/ML teams requiring proprietary datasets • Businesses automating competitive intelligence or market tracking • Companies where reliable data access supports growth ────────────── Confidence Check ────────────── If needed, I can provide a working sample before full engagement to demonstrate data quality and bypass stability. To get started, send: - Target website(s) - Required data fields - Expected volume - Update frequency - Preferred output format Whether you're starting with a focused scraping task or building a large-scale data infrastructure — let’s build it properly.

Need a web scraping expert who can also build the backend around your data? I have 5 years of experience solving difficult extraction tasks, browser automation (Selenium, Playwright), session/cookies. I’ve built scrapers and data pipelines for different websites, where scraping is allowed. I always keep terms of service and do ethical scraping. I can deliver results in CSV, Excel, Google Sheets, send to your API, or ship the scraper itself. Just write me! Recent projects: • Scraped 200k car listings for an ML price prediction model using multiprocessing. • Built a content-harvesting backend (pipelines + Google Drive/Sheets) used in production. • Led a Django project that scrapes 100k+ content items (videos, articles, etc.) per week. • Developed an internal Python library for PostgreSQL via asynchronous SQLAlchemy. • Reviewed and fixed a client’s FastAPI project to improve reliability and speed. • Built automation tools for various websites. • Scraped transcripts for YouTube via an official YouTube API. Tech stack: • Python 3.12+, SQL; asyncio and multiprocessing for fast crawling • Scraping: Beautiful Soup, Scrapy, aiohttp, requests; Selenium, Playwright; HTML, CSS, XPath, JSON, • Backend: FastAPI, Django; JWT, OAuth2; PostgreSQL, SQLAlchemy (sync/async), SQLite, Alembic; Redis • Data & automation: Pandas, NumPy; Google Sheets/Drive; Telegram API (Telethon, python-telegram-bot); OpenAI GPT API • Dev & ops: Docker, CI/CD, GitLab, GitHub; pytest If you need parsing, scraping, crawling, data extraction, data mining, or an automation script, just send 1-2 target URLs and a sample of the desired output columns. I’ll propose the best approach, the anti-bot plan, and a quick prototype. I always keep the terms of service. I also handle data cleaning and enrichment with Pandas, plus ETL pipelines, so you get ready to use datasets. As a Python developer who cares about code quality, I write clean, readable code that follows PEP8 and OOP principles, and I cover key parts with tests for long-term stability. Send me a brief description and technical requirements of your project, and I’ll solve your problem!

I am a web scraping expert with 13+ years of experience in Python-based data extraction from complex and Cloudflare-protected websites using proxies, Playwright, and custom-built scraping software. I specialize in scraping dynamic, JavaScript-heavy, and protected websites, including business directories, e-commerce platforms, marketplaces, and custom web applications. Depending on the project complexity, I combine custom Python scripts with proprietary scraping tools to achieve fast, reliable, and cost-effective data extraction. This allows me to efficiently handle both small one-time tasks and large, long-term scraping pipelines. I work with projects of any size — from quick one-hour jobs to complex, long-term contracts requiring continuous data collection, monitoring, and maintenance. I have extensive experience scraping a wide variety of websites, from business directories and lead generation platforms to large-scale e-commerce systems. This includes extracting contact data, company and people information, as well as structured product data from high-traffic online stores such as electronics, auto parts, furniture, and other complex marketplaces. Deliverables include clean, well-structured data in CSV, Excel or JSON

I am AVAILABLE NOW and 24/7 ✅ 10+ year experience. 🚨 I don't use "chat gpt" to write code. I'm an old developer who thinks logically and uses my own head. After me, there's no need to rewrite the code to make it work. Hi) I have been involved in commercial python development 5 years+. I add various services: # Scraping different web-pages # Automation scripts # development of any complexity on a python I love my job! I like to benefit people :)

I’m a Senior Python Engineer and Full Stack Developer with 8+ years of experience building web scraping infrastructure, automation platforms, backend systems, and scalable data engineering solutions for startups, SaaS products, trading companies, and data-driven businesses. Clients usually contact me for projects related to Python development, Full Stack development, backend development, backend APIs, web scraping, data extraction, browser automation, Playwright automation, Selenium automation, Scrapy development, ETL pipelines, workflow automation, automation systems, API integrations, real-time data processing, AI automation, OpenAI integrations, scalable backend systems, sportsbook software, betting systems, odds aggregation, analytics platforms, SaaS products, and high-load real-time data systems. Why clients work with me ✔ 8+ years of Python engineering experience ✔ 6+ years of Full-Stack engineering experience ✔ $400K+ earned on Upwork ✔ Top Rated Plus freelancer ✔ Production-grade scalable architectures ✔ Strong communication and reliable delivery ✔ Experience with high-load real-time systems ✔ Long-term technical partnership mindset My main stack includes: Python • FastAPI • Django • Flask • AsyncIO • REST APIs • GraphQL • Playwright • Selenium • Scrapy • WebSockets • Microservices • Celery • SQLAlchemy • Backend Architecture - Web Scraping & Data Engineering Playwright • Selenium • Scrapy • BeautifulSoup • Requests • Browser Automation • Data Extraction • Web Scraping • Data Mining • ETL Pipelines • Proxy Management • Pandas • NumPy • Dask • Scikit-learn • TensorFlow • PyTorch • XGBoost • OpenCV - Advanced Scraping Infrastructure Cloudflare • DataDome • Akamai Bot Manager • PerimeterX • reCAPTCHA • hCaptcha • Residential & Mobile Proxies • Session Management • Authentication Workflows • Browser Fingerprinting - Full Stack Development React • Next.js • TypeScript • JavaScript • HTML5 • CSS3 • Tailwind CSS • Admin Dashboards • SaaS Applications • Analytics Dashboards - Cloud, DevOps & Infrastructure Docker • Kubernetes • AWS • Google Cloud • Azure • GitHub Actions • GitLab CI/CD • Terraform • Ansible • Nginx • Linux AI & LLM Development OpenAI API • GPT-4 • Claude • Llama • AI Agents • RAG • Prompt Engineering • AI Automation • LLM Integrations • As a Full Stack Developer and backend developer, I build backend systems, APIs, automation platforms, web applications, analytics dashboards, browser automation workflows, admin panels, and scalable real-time data products designed for production environments. Web Scraping & Automation As a Python developer specializing in web scraping and automation systems, I build scalable scraping infrastructure for dynamic websites, protected platforms, APIs, marketplaces, SaaS products, and analytics systems. Scraping and automation projects include: • Large-scale web scraping systems • Data extraction pipelines • Browser automation with Playwright and Selenium • Scrapy-based scraping infrastructure • API reverse engineering and API integrations • Proxy management and anti-bot workflows • Marketplace and e-commerce data collection Backend Development & Automation Systems As a Full Stack Developer and backend developer, I also build scalable backend systems, backend APIs, automation infrastructure, workflow automation platforms, web applications, and real-time backend services. Typical backend and automation projects include: • Backend API development • Workflow automation systems • Real-time automation platforms • Monitoring and reporting systems • Data synchronization systems • Web applications and admin dashboards • Cloud-based backend infrastructure Clients hire me as a Python developer and Full Stack Developer when they need scalable backend systems, automation workflows, real-time data processing, or production-grade infrastructure that can support long-term product growth. Sportsbook & Betting Systems I have strong hands-on experience building sportsbook software, betting systems, odds aggregation platforms, sportsbook data systems, and real-time betting infrastructure running in production environments. • Real-time sportsbook odds aggregation systems • Arbitrage and positive EV analytics platforms • Betting automation and execution systems • Historical odds databases and backtesting engines • Sports analytics dashboards and reporting systems • Odds monitoring and alerting systems AI Automation & Data Infrastructure • AI data collection pipelines • OpenAI API integrations • AI automation workflows • RAG and knowledge base infrastructure • AI enrichment and structured data processing If you need a Python developer, Full Stack Developer, backend developer, or automation developer who can build scalable backend systems, automation infrastructure, web applications, sportsbook systems, or real-time data products, feel free to reach out.

👋 Hi, I’m a 🏆 ⭐️⭐️⭐️⭐️⭐️Top Rated Python Web Scraping and Data Mining Expert at GroupBWT - a 100-person engineering team delivering scalable, high-accuracy data extraction and web scraping systems since 2009. I specialize in building end-to-end data mining and lead generation pipelines using tools like Python, Selenium, Playwright, and Puppeteer to extract structured information from complex, dynamic, and protected sources. Over the years, I’ve worked on systems where data mining and web scraping are core infrastructure components, not just scripts. We help clients replace spreadsheets, manual monitoring, and unreliable sources with fully automated pipelines delivered into APIs, dashboards, or databases: ✅ Our Python Web Scraping and data mining systems process over 1.5 million URLs per day, with proxy rotation, retry logic, and real-time monitoring. ✅ We reduce reporting delays by 70% using real-time data mining and web scraping pipelines for inventory, pricing, and market tracking. ✅ Our systems collect and structure more than 15,000 news articles weekly using web scraping and data mining pipelines, converting unstructured content into usable insights. 🔁 What I do 📦 Python Web Scraping Data Mining: We build large-scale Python Web Scraping data mining systems that extract structured data from marketplaces, real estate platforms, B2B directories, social networks, and news sources. ✔ Product & Price Monitoring ✔ Competitor Analysis ✔ Business Directory extraction ✔ Lead Generation & Contact Discovery 🧹 Cleaning, Enrichment & Integration We don’t stop at extraction - every data mining and Python Web Scraping pipeline includes cleaning, normalization, deduplication, and enrichment. We turn raw outputs into Data Analyst-ready datasets that integrate with CRMs, BI tools, and internal systems. ✔ Document & Market analysis ✔ Data matching and enrichment ✔ Classification and tagging 📤 Automation & Scalable Delivery We design recurring web scraping data mining pipelines that run daily or hourly with full observability. Every web scraping data mining system includes monitoring, alerts, retries, and structured delivery into APIs, databases, or BI dashboards. ✔ Scheduled web scraping data mining pipelines ✔ Real-time dashboards ✔ Automated reporting feeds ✔ Lead Generation database creation and enrichment ✔ Custom bot developer solutions ✔ Data Analyst-ready dataset 🧾 Data Entry & Data Scraping Support We provide structured Data Entry services: ✔ Lead Generation database creation and enrichment ✔ Data Entry for large-scale scraped datasets into spreadsheets, CRMs, and databases ✔ Data Entry automation for transforming unstructured data scraping outputs into structured records ✔ High-volume Data Entry handling for product, business, and directory information ✔ Data Entry validation to ensure accuracy and consistency across datasets ✔ Semi-automated Data Entry workflows ⚙️ Tech Stack: Languages: Python, JavaScript, PHP Databases: MySQL, PostgreSQL, MongoDB, DynamoDB, MSSQL, Snowflake Frameworks: Scrapy, Twisted, Hadoop, DRF, Laravel, ApacheSpark Containerization: Docker, k8s Message Brokers: RabbitMQ, Redis AWS: EC2, SQS, RDS, S3, Lambda, Gateway, Neptune Libraries: Celery, Puppeteer, NLTK, numpy, pandas, spaCy, TensorFlow, scikit-learn, React-PHP, Keras, sqlalchemy, Gensim, pyTorch RPA & Workflow: Selenium, Playwright, UI automation, Slack/Google Sheets integrations, API workflows, Excel automation Bot Developer: Custom bot developer | data scraper solutions Platform: Databricks, Snowflake, BigQuery, Airflow, DBT, Redshift, Power BI 🧩 SAMPLE WEB SCRAPING & DATA MINING PROJECTS ✅ Built a platform covering 300+ marketplaces using Python Web Scraping and data mining, processing 60M+ records daily ✅ Built pricing intelligence system using data mining and Python Web Scraping across 120+ eCommerce domains ✅ Delivered news intelligence platform powered by web scraping data mining from 80+ global media sources ✅ Built a lead generation platform using Python scraping and web scraping data collection across multiple business directories, generating thousands of verified leads weekly 🤝 Why Clients Work With Us: ✅ Enterprise-Grade Web Scraping & Data Mining Systems 🔹 We build full-scale ecosystems, not scripts - every Python Web Scraping and data mining system includes monitoring, scaling, error recovery, and Data Analyst-ready outputs. 🔹 Clients reduce manual work by up to 60% using automated web scraping data mining pipelines 🔹 Result: 25-35% lower operational costs through stable web scraping data mining infrastructure ✅ Built to Scale 🔹 Systems handle 100M+ pages/month using web scraping data mining architecture 🔹 Designed for horizontal scaling of web scraping data mining workloads 🔹 Real-time updates through scheduled web scraping and data mining execution 🚀 Ready to turn data into structured intelligence using web scraping and data mining? ➡️ Invite me to your job and let’s build your pipeline