Hire the Best Scrapy Developers
in Ukraine

Most AI projects fail because the infrastructure around them wasn't built to last. I'm an AI developer and Python developer who fixes that. I build RAG pipelines, AI Agent systems, and the backend architecture they need to actually run in production. When a project demands it, I bring in a trusted Python developer I've worked with long-term. Having a second Python developer and a second AI developer on call means you get the output of a full team without the overhead of managing one. 1. AI Systems That Go Beyond the Prototype As an AI developer, I design and implement custom RAG (Retrieval-Augmented Generation) pipelines that ground your LLMs in proprietary data: eliminating hallucinations and making responses genuinely useful. I build autonomous AI Agent frameworks that execute multi-step workflows without human input. Whether that means PyTorch for a custom machine learning model, TensorFlow for a deployment-optimized pipeline, or combining PyTorch and TensorFlow across different stages of the same system or computer vision for document parsing and image classification — I choose the right tool, not the trendiest one. My data scientist background means I treat model evaluation as seriously as model building. Nothing ships until the benchmarks prove it works. Every web development project I deliver goes through the same data scientist discipline: measure, validate, ship. 2. The Backend That Holds It Together A great AI developer still needs solid engineering underneath. As a Python developer, I build the infrastructure that makes AI systems reliable at scale: FastAPI and Django REST APIs, Flask microservices for lightweight integrations, Flask-based task queues for async jobs, PostgreSQL and MySQL schemas built for real data volumes, SQL queries optimized for performance, Docker-containerized services deployed through CI/CD pipelines with Git-managed version control. Data Scraping and web scraping are core to how I keep models current. I build Scrapy pipelines that continuously pull structured data from the web and load it into PostgreSQL or MySQL. That means your AI developer's models are always working with fresh information. I also use Scrapy for competitive research and e-commerce intelligence. Airtable provides non-technical stakeholders visibility into those Data Scraping pipelines, and Airtable webhooks trigger FastAPI or Django endpoints when records change. 3. Full Stack, Front to Back I'm a full stack developer and web developer, which means I own the entire delivery. React dashboards, Node.js middleware, JavaScript-heavy interfaces. I build the frontend that makes AI outputs accessible to real users. As a software engineer with web development experience across the full stack, I keep React components, Node.js services, and JavaScript logic clean and maintainable alongside the Python backend. I also have PHP developer experience. Many clients have existing PHP developer codebases, legacy CMS platforms, older systems that need to connect to modern Python APIs rather than be replaced. I know how to work with what's already there. 4. What Working With Me Looks Like You get a Python developer and AI developer in one person, backed by a trusted Python developer when the scope demands it. You get production-ready code - documented, tested, Git-managed, containerized with Docker, deployed through CI/CD. You get a data scientist mindset applied to every decision, a software engineer's standards applied to every line, a full stack developer's awareness of the full delivery chain, and a web developer's understanding that the end user is always the point. If you need an AI developer and Python developer who can take a project from first conversation to live deployment, I'd like to hear about it.

Hi I'm Mark, Python developer with years of experience. My main passion and specialization is working with data extraction. I have worked with many sites and wrote a lot of bots which can extract data in any required format like Excel, CSV, Json or save data to DB. ✔Python *Xpath, Selenium, PDF, Automatization, OCR, Parsing, Scrapy, Request, Regex ✔ MySQL ✔ PostgreSQL ✔ Perform your project in a great way. ✔ high quality; ✔ Resolving Proxies and ReCaptcha issues; ✔ Meeting deadlines; ✔ 80+ hrs/week online; ✔ Flexibility

Hello! I am a Python Developer and Full Stack Developer with 5+ years building production-grade systems across FinTech, EdTech, IoT, MedTech, and eCommerce. My work as a Python Developer covers Django REST Framework APIs, Flask microservices, FastAPI services, Machine Learning pipelines, Web Scraping Python automation, and AI-powered Data Extraction — all deployed on Amazon Web Services. PYTHON DEVELOPER — CORE BACKEND As a Full Stack Django Developer, I architect end-to-end solutions: Python Django backends, Django React frontends, Django AWS cloud infrastructure, and Django REST Framework APIs. My Python Full Stack Developer Flask practice covers microservices, background workers, and event-driven systems. As a Flask Developer, I combine Python Flask services with PostgreSQL, Redis, Docker, and CI/CD pipelines for reliable production deployments. API Integration is central to my Python Developer work: Amazon API Integration, Shopify API Integration, Facebook API Developer automations, Twilio messaging layers, and complete API Documentation for developer teams. Every RESTful API I deliver follows clear versioning, error handling, and monitoring standards. FULL STACK DEVELOPER CAPABILITIES As a Full Stack Developer, I connect Python backends to React, Vue, Angular, and JavaScript frontends — working alongside PHP Developer, Laravel, Node.js, Java, and Web Developer teams. I extend WordPress installations with custom Python APIs, integrate Gumroad and Mailwizz platforms, build Lead Generation pipelines, and automate Data Entry workflows that eliminate repetitive manual work. Frontend toolkit: HTML5, CSS3, Bootstrap, HTML, CSS, jQuery — enough to own the full delivery cycle as a Python Full Stack Developer without handoff bottlenecks. WEB SCRAPING PYTHON & DATA EXTRACTION Web Scraping is a dedicated practice within my Python Developer work. I deliver: - Web Scraping Python pipelines — Scrapy, Selenium, BeautifulSoup - Web Scraping Data Mining systems for pricing, market research, and competitor analysis - Web Scraping Real Estate platforms extracting listings at scale - Automated Data Extraction workflows with deduplication, validation, and structured output into PostgreSQL or cloud storage Every Python Script is production-hardened: scheduled runs, error recovery, proxy rotation, and clean pipeline logging. MACHINE LEARNING PYTHON & AI SYSTEMS As a Python Developer and Full Stack Developer with AI depth, I design and deliver Machine Learning Python systems, Neural Network models, Computer Vision tools (OpenCV), and Artificial Intelligence automation pipelines. Delivered results: AI Big Data Platform (Norway) — automated 70% of manual procurement, –30% procurement cycle, 10x more data sources. Stack: Python, TensorFlow, PyTorch, Keras, Azure. AI Product Research Tool (EU) — 85% model accuracy, 500K+ product records processed daily in 12 weeks. Stack: Python, TensorFlow, Scikit-Learn, FastAPI, Azure AI. IoT Utility Platform (Benelux) — 1M+ smart meter readings per day across 200K+ devices, –35% processing latency, launched 2 months ahead of schedule. Stack: Python, Kafka, Redshift, DynamoDB, Apache Spark, AWS. AI Fleet Demand Prediction (Mobility) — +28% fleet utilisation, –32% rider wait times. Stack: Python, scikit-learn, PyTorch, Kafka, SageMaker. AI NLP Patient Support (MedTech) — –45% first-line support requests, +30% faster appointment booking. Stack: Python, NLP, Cloud APIs. AI Citizen Support (Government) — multilingual NLP chatbot across public platforms; –45% admin workload, +35% faster response. Stack: Python, IBM Watson, REST webhooks. My AI/ML toolkit includes: Data Science, Data Analysis, Data Analyst dashboards, AI Trading systems, Forex Trading analytics, Computer Vision (OpenCV), FFmpeg, OpenCLAW, Automation, Dashboard development, and Scripting. PYTHON DEVELOPER AWS & DEVOPS As a Python Developer AWS specialist, I work with: AWS Application deployments, AWS Lambda, Redshift, DynamoDB, S3, Kinesis, AWS Glue, SageMaker. My DevOps practice covers CI/CD pipelines, Azure DevOps, Docker, Git, and RESTful API gateway configuration. I build observable systems — not just functional ones. FULL TOOLKIT Core: Python, Django, Flask, FastAPI, React, Vue, Angular, Node.js, JavaScript Data & ML: Machine Learning, Data Science, Data Analysis, Neural Network, TensorFlow, scikit-learn, Pandas, NumPy Databases: PostgreSQL, MySQL, SQL, MongoDB, Redis Infrastructure: Amazon Web Services, Docker, Git, CI/CD, Azure DevOps, AWS Application, Golang Scraping: Selenium, Scrapy, Data Scraping, Data Extraction, Automation Developer Specialised: Computer Vision, OpenCV, OpenCLAW, FFmpeg, AI Trading, Forex Trading, Scripting, RESTful API, Desktop Application, Software Architecture & Design, WordPress, PHP I work cleanly inside existing codebases, write proper documentation, and communicate in plain language.

I am a Web Scraping developer with 2+ years of experience and 500+ production spiders delivered. I build stable and maintainable data extraction pipelines using Python. I work with dynamic websites, protected content (CAPTCHA / Cloudflare) and data that needs cleaning or structuring. I deliver clean, structured datasets (JSON, CSV, Excel, PostgreSQL/MySQL) and can automate full pipelines on schedule (Docker, cron). When needed, I also apply LLM for text parsing, classification and data enrichment.

🟢 Looking for a developer who can boost your business processes using AI? 🟢 Hi, I’m Vitaliy, Top Rated Plus Python Developer and Automation Expert at DataOx with 10+ years of experience in Python and Java backend development, AI-powered automation platforms, LLM integrations, and large-scale data systems. For 8 years on Upwork I’ve completed numerous projects, maintaining a 97% Job Success score, delivering production-ready systems, AI agents, workflow automation solutions, data pipelines, and intelligent backend architectures that help companies reduce manual work, process high volumes of data, and scale operations efficiently. ⭐️⭐️⭐️⭐️⭐️ "The team is extremely efficient, creative, communicative, and flexible. They are excellent at bringing ideas and concepts to life. Our team has worked with other developers in the past, and no one compares to these guys. Do yourself a favor and hire them for your project." What I can help you with: • Web scraping & data extraction (complex, dynamic websites, anti-bot bypass) • API development & integrations (REST APIs, third-party services) • Workflow automation, RPA & backend systems • AI solutions: AI Chatbots, AI Agents & AI Automation for business workflows, LLMs, NLP, bots, intelligent processing • ETL pipelines & data engineering • System integration & custom tools • Python and Java backend, Web Applications & SaaS platforms My Technical Stack AI & LLM Systems: OpenAI API, LangChain, PyTorch, TensorFlow, LLM integration, RAG pipelines, multi-agent workflows, prompt engineering & optimization, AI chatbot backends Backend & Automation: Python, Java, FastAPI, Flask, Django, Spring Boot, REST APIs, Playwright, Selenium, Scrapy, BeautifulSoup Frontend: JavaScript, TypeScript, ReactJS, Next.js, Tailwind CSS Data & Infrastructure: Pandas, SQLAlchemy, PostgreSQL, MongoDB, BigQuery, Airflow, Docker, Kubernetes, AWS, GCP, Azure My Results in Numbers: 🔶 AI Recruitment Platform: Built AI hiring platform with 900K+ candidates, 20K jobs, 2.5K companies, 120K assessments/year, 20K video interviews, 680K candidates via integrations. 🔶 Global Certification Data Platform: Automated aggregation of 500K+ records/month, reducing search time from days to 15–30 minutes and accelerating deal cycles by 3-5x. 🔶 AI Document Intelligence System: Processed 1M+ documents/year with LLM, achieving 90%+ extraction accuracy, reducing manual work by 80%, handling 50+ document types, and scaling to 10K+ documents/day with automated validation Why Clients Choose Me Experience: 10+ years in backend engineering, Python development, Java Development and scalable AI systems Proven Quality: 97% Job Success Score and Top Rated Plus on Upwork Expertise: AI automation, LLM integrations, workflow automation, and production-ready backend architectures 📩 Send me your project requirements, and I’ll provide a clear, high-impact strategy to turn your vision into reality.

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!