Nemlig.com Full Catalog Scraper

I need a reliable scraper that pulls the entire public product catalog from Nemlig.com—every category without exception—and saves the data in a clean, structured file. For each item I expect its product ID, name, category path, price, main image URL, description, ingredients, nutrition facts, brand, and current availability.

Along with the dataset, I want a reusable script (Python or Node.js—whichever you’re most comfortable with) and a short README that shows me how to install any dependencies, set configuration values such as rate-limit delays, and rerun the scrape whenever I need fresh data.

The crawler must stay within publicly accessible pages and respect Nemlig.com’s rate limits; no hacking, login bypasses, or blocked-area probing.

When you apply, briefly outline your technical approach, key libraries or tools you’ll use, and how long you’ll take from kickoff to delivery. A single fixed-price bid is preferred.