Scrape Retail E-Commerce Data | Retailgators

Imagine launching a revolutionary product and not knowing how to price the product. Go mass-market or play it exclusively? Innovative product market players always search for new strategies to boost their profitability while maintaining their customer base. That’s when price skimming comes into the picture, a prominent pricing strategy for most business models.   What Is Price Skimming? Price skimming is a pricing strategy where companies initially charge the highest price that customers are willing to pay for a new product or service. Then, over time, they gradually lower the price. Phases Of Price Skimming Strategy Check out the top 4 phases of price skimming strategies: Product Launch Pricing Phase The product is first launched at a high price in this phase. Early buyers who don't mind the high cost and want the newest things will be ready to buy. High Initial Pricing Phase After the first group of buyers has bought the product, the company gradually reduces the price. This aims

  It is well known that the e-commerce realm is thriving, with giants like Amazon and Flipkart and up-and-coming platforms such as Blinkit and BigBasket making their place in the retail landscape. As businesses and sellers strive to master these marketplaces, decoding product rankings may seem like searching for a proverbial needle in a haystack. But how does one keep an eye on shifting product ranking across multiple e-commerce platforms? That's where product data scraping enters the scenario, providing critical knowledge to bolster your sales tactics. This blog helps you navigate the process of scraping product rankings on Amazon, Flipkart, Blinkit, and BigBasket. What Is Product Ranking In E-Commerce Data Scraping? In eCommerce data scraping, product ranking refers to the position of the product in the search result list, defined by the platform's algorithm. E-commerce platforms like Amazon, Flipkart, BigBasket, and Blinkit comprise millions of products; who decides which pr