eCommerce scraper extracts valuable pricing data, that is in turn used for competitor intelligence activity and price benchmarking.
Price scraping and matching helps eCommerce companies know the real-time selling prices of all products on their as well as competitors’ sites. It is also extensively used by emerging and established players who are offering price comparison platform to consumers.
Price scraping or price data extraction is carried out by setting up custom web crawlers to fetch the product data from various eCommerce portals. The number of competitors to be crawled can be decided by evaluating your market and close competitors.
Once the web crawl is set up, the extracted product data would contain various fields like site name, brand name, product name and the price. The product data is then run through a normalization system to prepare it for matching. This normalization is important as the data fields might often contain special characters, symbols and numbers – all of which would cause problems during matching.
At PromptCloud, we deliver the scraped price data via multiple formats like JSON, XML or CSV depending upon your preferences. The frequency of crawls can be defined as per your specific requirements and crawls can even be done in near real-time with live crawls.
The price data provided is in a clean and ready-to-use format and all you have to do is connect it with your system to match it with your own pricing. It’s up to you to decide how you want to tweak your pricing with respect to your competitors’. The pricing process can be automated by developing an algorithm which will consider your competitors’ prices as input and makes changes to your prices as per a given set of rules.
Price matching is the next and immediate step after price scraping and extraction. It makes it possible to automate the whole pricing process. A strong matching system is essential here as every other ecommerce portal will have some minor differences when it comes to the product descriptions including product name and brand name.