Large-Scale Ingredient Data Scraping & Structured Database Creation

Conducted large-scale web scraping and data extraction for over 10,000 cosmetic ingredients across multiple online sources. Collected detailed ingredient information including names, identification numbers, international codes, safety classifications, restrictions, and hazard data.

Cleaned, verified, and structured the extracted data into organized spreadsheets and Excel databases. Built a searchable and well-formatted dataset designed for efficient reference and analysis.

The project required high attention to accuracy, cross-source validation, and systematic data organization to maintain consistency across thousands of entries.

Conducted large-scale web scraping and data extraction for over 10,000 cosmetic ingredients across multiple online sources. Collected detailed ingredient information including names, identification numbers, international codes, safety classifications, restrictions, and hazard data. Cleaned, verified, and structured the extracted data into organized spreadsheets and Excel databases. Built a searchable and well-formatted dataset designed for efficient reference and analysis. The project required high attention to accuracy, cross-source validation, and systematic data organization to maintain consistency across thousands of entries.

Skills: Web Scraping · Data Extraction · Data Cleaning · Excel Data Structuring · Large Dataset Management