We are building a comprehensive automotive database and are looking for a detail-oriented freelancer to collect and structure car data along with images. The goal is to create a clean, well-organized dataset of car brands, models, generations, and their technical specifications. Responsibilities: Collect automotive data (Brand → Model → Generation → Year) Gather full technical specifications, including: Engine (type, power, torque) Transmission Fuel consumption Dimensions Performance (0-100 km/h, top speed, etc.) Find and attach high-quality images for each car (preferably multiple angles) Ensure data accuracy and consistency Organize all data into a structured format (Excel / Google Sheets / CSV) Data Structure Example: Brand Model Generation Production Years Engine Specs Horsepower Torque Fuel Type Transmission Drive Type Body Type Image URLs (multiple) Requirements: Experience with data scraping / data entry Familiarity with automotive terminology Ability to work with structured datasets (Excel, Google Sheets, CSV) Attention to detail (very important) Basic understanding of image sourcing (no broken links, consistent quality) Bonus Skills (Preferred): Experience with web scraping tools (Python, BeautifulSoup, Scrapy, etc.) Previous work with automotive datasets Ability to automate part of the process