The platform connects specialists with innovative technology projects. The mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts. This is a freelance role for a technology project.
As a Data Scraping Engineer, you will handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.
What you 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 while meeting defined requirements
- Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior
- Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery
- Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes
What they ask
- At least 3+ years of relevant experience in data engineering, web scraping, automation, or software development
- A Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus
- Strong technical foundation and practical experience with scripting, automation, and data extraction workflows
- Ability to solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources
- A methodical, detail-oriented approach and the ability to work independently are essential
Technical Skills (Essential).
- Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
- 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)
Additional requirements.
- 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
- A link to GitHub is a plus
- English proficiency: Upper-intermediate (B2) or above
How to apply
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