Hire the Best Web Scrapers
in the Netherlands

Need structured data extracted from the web, fast and clean? You're in the right place. Web scraping and data collection are my core specialty. I build targeted scrapers in Python using BeautifulSoup, Requests, and Selenium, handling pagination, anti-bot measures, dynamic content, and geocoding. Deliverables land in Excel, CSV, or JSON, clean and ready to use from the first row. By day I'm a Data Analyst at ABN AMRO Bank in the Netherlands, where precision and reliability aren't optional. I bring that same standard to every project. What I deliver: ✔ Web Scraping & Data Collection: websites, directories, marketplaces, portals, and APIs scraped at scale. Pagination, login walls, and JS-rendered pages handled. Output in your preferred format. ✔ Excel Automation & Reporting: advanced formulas, pivot tables, dynamic dashboards, and VBA/macro automation. Messy spreadsheets turned into decision-ready reports. ✔ Data Analysis & Dashboarding: trends and patterns surfaced using Excel, SQL, Python, Power BI, and Tableau. ✔ Data Cleaning & Quality Control: deduplication, normalization, formatting, and validation. Fast and detail-oriented. ✔ NL-Specific Tasks (Netherlands): based in the Netherlands, I also take on Dutch-language and local-market work: photo categorization and visual data tasks, market research and mystery shopping, localization and UX testing, and voice/audio tasks in Dutch. Past projects: scraped 4,400+ records with geocoding from live websites; built multi-source restaurant databases with interactive dashboards. Certifications: Microsoft Power BI Data Analyst Associate · Google Data Analytics Professional · Databricks Certified Data Analyst Associate Let's talk.

🎓 BSc Physics, Particle Physics (University of Groningen) 💻 Expert in Python, Power BI, Excel, MATLAB, HPC and API pipelines 📊 Experienced in API data extraction, data cleaning, visualization, ML modelling Recently, I built an end-to-end Python pipeline for extracting, cleaning, and analysing ~300k publications from the OpenAlex API, generating clean, analysis-ready datasets and visualizations that summarize top concepts and publication trends. [See full project and GitHub in Portfolio Projects] ════ Who Am I? ════ Hi, I’m Richard. I recently completed a BSc in Physics with a specialization in Particle Physics, where I gained hands-on experience analysing complex datasets and solving abstract, high-level problems. I’ve worked on everything from noisy detector data to molecular parity violation research, translating raw data into clear, reproducible insights. I help clients turn raw, messy data into clean, structured datasets ready for analysis and visualization. With a BSc in Physics (Particle Physics) and experience handling large-scale datasets, I specialize in API data extraction, automated data cleaning, exploratory analysis, and machine learning modelling. ════ What I Do (Services) ════ ✔️ API Data Extraction & Automation Collect data from APIs, web sources, or databases Handle large datasets, pagination, and automated pipelines Return clean, structured data in CSV, Parquet, or requested formats ✔️ Data Cleaning & Pre-Processing Interpolate missing data, remove noise, normalize datasets Validate results using multiple methods for robustness Prepare datasets optimized for analysis or ML applications ✔️ Exploratory Data Analysis & Feature Engineering Analyse patterns, trends, or correlations Extract and engineer features for further modelling Deliver results in interpretable, ready-to-use formats ✔️ Data Visualization & Reporting Python, Excel, or Power BI dashboards Reports designed for any audience from non-technical to scientific. Clear, reproducible, and ready for presentation ✔️ Machine Learning & Statistical Modelling Regression: Linear, Polynomial, Logistic, Regularized, Random Forest Clustering: K-Means, DBSCAN, Hierarchical Classification: Logistic Regression, Decision Trees, Random Forest, Gradient Boosting Custom ML workflows tailored to your data and goals Open to taking flexible ML method requests at negotiable rates, providing high-quality, reproducible work while expanding my skillset ════ How I Work ════ 1️⃣ Plan & Understand Goals I take time to understand your objectives, discuss options, and outline deliverables, timelines, and milestones. 2️⃣ Frequent Updates & Transparency You’ll receive clear, regular updates. Questions and challenges are addressed promptly (within 24 hours). 3️⃣ Reliable, Reproducible Results Projects are delivered on time, tested, documented, and maintainable for future use. 4️⃣ Post-Delivery Support I provide ongoing guidance and answer questions for several months after project completion, ensuring smooth adoption and fully functional, reliable solutions. ════ Deliverables You Can Expect ════ Clean, optimized datasets (CSV, Parquet, or requested format) Automated, ready-to-use, reproducible pipelines in Python or Jupyter Notebooks Custom dashboards and visual reports Full documentation and optional post-delivery support

As a seasoned data science and analytics professional, I bring years of experience delivering impactful solutions across diverse industries. My journey began as a Data Scientist at Vion (2019–2022), where I contributed to strategic planning, optimization, and reporting, driving operational efficiency. I then expanded my expertise as an Analytics Consultant at ORTEC (2022–2024), mastering Python, React, SQL, AIMMS, and project management to create data-driven tools and insights for clients. Currently, I serve as a Data Scientist at Mars Inc., where I utilized my analytical and UI design skills to tackle business challenges. My educational foundation in Business Analytics and Operations Research, earned at Tilburg University, underpins my technical skills and analytical mindset. This combination of hands-on experience and academic knowledge enables me to deliver high-quality, client-focused results. I look forward to collaborating on your next project and helping you unlock the power of data to achieve your goals.

As a Data Scientist, Machine Learning Engineer, Cloud Developer, Data Engineer, Backend Developer, and Startup Co-founder, I have successfully leveraged AI and cloud technologies to drive innovation and solve real-world challenges across various industries. Having co-founded and led an AI startup that was later acquired, I bring a unique blend of technical expertise and business insight. My focus lies in developing advanced machine learning models, data-driven solutions, and scalable cloud infrastructures on platforms like AWS and Azure.