How To Scrape Store Location Data From Target.Com 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, our Target store locator will scrape the information for storing data by the provided zip code. We can scrape the following data fields: 1. Store’s Name 2. Store’s Address 3. Week Days 4. Phone Number 5. Hours Open 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 Create a URL of search results pages from Target.com. Let’s use the location called Clinton in New York. Here, we’ll need to make the ...