Python Tutorial Shows How to Scrape Sainsbury's Grocery Prices and Promotions

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A new guide explains how to use Python and an Apify Actor to extract grocery prices and promotional offers from Sainsbury's online store into structured JSON. The extracted fields include product name, shelf price in GBP, Nectar card price, promotional text, unit pricing, customer rating, category, EAN barcode, and product URL. The author's benchmark run, configured to search for coffee products with promotions only, finished in 10.6 seconds and returned 50 items. The scraper reads product data embedded in search results, so individual product pages do not need to be opened. The tutorial is aimed at shoppers and analysts who want to track deals without manually copying product details.

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