Role OverviewAs a Freelance Data Scraping Engineer (Python), you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies.
What You Will Do
Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. Leverage available tools and custom workflows to accelerate data collection, validation, and task execution.
Why It Might Be a Fit
We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources.
Requirements
- At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development
- Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields
- Strong experience in Python web scraping (BeautifulSoup, Selenium or similar)
- Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
- Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
- Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
- Strong attention to detail and commitment to data accuracy
- Self-directed work ethic with ability to troubleshoot independently
- English proficiency: Upper-intermediate (B2) or above
Benefits
- Up to $37 per hour equivalent
- Flexible remote work arrangement
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