Context Selling used items gets pretty tricky when it comes to deciding resale value of an item. The process involves deciding the right price by examining existing items in market of similar kind and observing market trends. Everyone wants to sell in profit but they can’t quote too much that none buys the item nor quote too less to sell in loss. We are interested in developing a system to predict right optimal resale value of product. Content Data was gathered via Web scrapping using online tool (https://scrapy.org) on OLX Pakistan Website. We scrapped data on following dates March'18 - Sept'18. These data files were scrapped in json format and were appended into single Dataset having total of records /rows (22098) and total of 7 Attributes. The Description of Attribute is as follows: 1. Condition – New/Used. 2. Creation Time – Day when Ad was published on website. 3. Description – Description of Ad 4. Location - Area, City, Province. 5. Price – in Rupees 6. Title – Title having precise subject of Ad 7. URL – OLX Website, source where Ad has been published Acknowledgements Source: www.olx.com.pk Inspiration A very good dataset to learn natural language processing troublesome.