I’m compiling a visual database of packaged-food items sold on Amazon.in and need an extra pair of meticulous hands. The task is straightforward but large in volume: 137 distinct food categories, the first five result pages of each, and only products that carry a rating of 4 ★ or higher (I may dip to 3.5 ★ if a category is thin). For every qualifying SKU I need four specific JPEGs saved manually—no bots or scraping scripts, just right-click discipline so the originals stay crisp: • Front label • Nutrition panel • Ingredient list • Barcode/EAN Each image should keep Amazon’s default filename followed by a short suffix so it’s obvious which view it is (e.g., “…_front”, “…_nutrition”). You’ll log progress in a shared Google Sheets tracker I’ve set up, noting category, product URL, ASIN, rating, which of the four shots you secured, and any that are missing or unreadable. Accuracy in that sheet is as valuable as the images themselves; it’s how I’ll reconcile coverage before sign-off. Deliverables will be a neatly structured folder tree (one folder per category) synced to a cloud drive plus the updated tracker. I’ll review folders weekly and give feedback quickly so we stay on course. If patience, attention to detail, and consistency over many repetitive clicks are your strengths, let’s get this rolling.