Let’s say you sell handmade jewelry on Wildberries. You make keychains, necklaces, and rings out of glass. On such a large platform, you’re bound to have competition from other sellers. While no one can sell exactly what you make, there will be other people selling glass jewelry in their own unique style. Competition is necessary for a thriving marketplace, and that’s all well and good, but you obviously want to make sure they don’t steal your potential customers. Maybe you have three competitors who offer necklaces similar to what you sell — the same type of chain, the same design of glass pendant, even similar color options.
For most big-box stores, price is the most important luxembourg telegram number database factor in deciding which product a customer will choose. Big marketplaces like Wildberries and AliExpress have trained shoppers to look for the cheapest deal available, and when you can see all the products in a category at a glance, price is the first thing that differentiates them. And you don’t have to just take our word for it — according to a survey of 3,000 US consumers conducted by BigCommerce, 87% of online store customers consider price as the main factor in making an online purchase.
So, you take some price scraping software that's not too expensive, and you set it up to scrape each of these three competitors' pages. Now you can get real-time pricing information for these three necklaces. If one of your competitors drops their price for a day during a sale, they're going to take up a lot of your traffic on that particular day, so you want to drop your price too. And if their prices go up, you want to make sure that your prices stay low so you can poach customers.
Why do you need price parsing?
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