{"id":22528,"date":"2023-09-22T12:27:03","date_gmt":"2023-09-22T10:27:03","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/exploring-opportunities-how-to-utilize-a-25-million-product-e-commerce-dataset-for-tools-and-dashboards\/"},"modified":"2023-09-22T12:27:03","modified_gmt":"2023-09-22T10:27:03","slug":"exploring-opportunities-how-to-utilize-a-25-million-product-e-commerce-dataset-for-tools-and-dashboards","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/exploring-opportunities-how-to-utilize-a-25-million-product-e-commerce-dataset-for-tools-and-dashboards\/","title":{"rendered":"Exploring Opportunities: How To Utilize A 25 Million-Product E-commerce Dataset For Tools And Dashboards?"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>As a back-end developer, I&#8217;ve scraped a dataset of 25 million products from the largest e-commerce websites in the Middle East with no duplicate products. This dataset includes basic information of each product, price history, descriptions, specifications, image links, category and breadcrumbs, recommended products, and more for each product. How can I leverage this data, and what tools and dashboards can I develop and potentially offer to other e-commerce websites?<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/HajiIman\"> \/u\/HajiIman <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/16p6874\/exploring_opportunities_how_to_utilize_a_25\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/16p6874\/exploring_opportunities_how_to_utilize_a_25\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-22528 jlk' href='javascript:void(0)' data-task='like' data-post_id='22528' data-nonce='65e0e39b87' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-22528 lc'>0<\/span><\/a><\/div><\/div> <div class='status-22528 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>As a back-end developer, I&#8217;ve scraped a dataset of 25 million products from the largest e-commerce websites&#8230;<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-22528","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/22528","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=22528"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/22528\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=22528"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=22528"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=22528"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}