Vibe Coding Web Scraping Expert (m/f/d)

As a Vibe Code specialist, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

This is a remote part-time role that can be flexibly tailored to your availability – from just a few hours per week to full-time.

Key Responsibilities:

• Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
• Leverage internal tools (Apify, OpenRouter) alongside 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.

Requirements:

• At least 1 year of relevant experience in data analysis, AI automation, data engineering, or software development is desirable.
• Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
• Python web scraping: Build reliable scraping scripts using BeautifulSoup, Selenium (or equivalents) for multi-level sites, dynamic JS content (infinite scroll, AJAX), and API endpoints via provided proxy.
• Data extraction expertise: Navigate complex hierarchical structures (regions → companies → details), handling archived pages and varied HTML formats.
• Data processing: Clean, normalize, and validate scraped data; deliver high-quality datasets in well-structured formats (CSV, JSON, Google Sheets) with clear, consistent presentation.
• 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 (required).