How to Scrape Target Store Locations Data using Python?
Web data scraping is a quicker and well-organized way of getting details about the store locations or scrape locations from website rather than using time to collect information physically. This tutorial blog is for scraping store locations as well as contact data accessible on Target.com, amongst the biggest discounted store retailers in the USA. For the tutorial blog here, we will demonstrate how to scrape Target store locations data using our Target store locator. This process will extract the information for Target store locations based on the provided zip code . We can extract the following data fields: Store’s Name Store’s Address Week Days Phone Number Hours Open Store ID Stock Ticker Direction URL Here is the screenshot of data, which will be scraped as a part of the tutorial. There are lots of data we can extract from a store details page on Target.com like grocery and pharmacy timings however, we’ll continue with these. Logic Behind The Scraping Target Locations Create a URL