Celine is a coveted French luxury brand known for its elegant and timeless designs. Established in 1945 by Céline Vipiana and her husband Richard, the brand had its roots in crafting childrens shoes before venturing into womens footwear and then expanding to a complete wardrobe. The Celine fashion house was originally focused on vogue childrens footwear but gradually shifted to womens shoes and accessories. Today, Celine offers a broad catalog of luxury items like ready-to-wear, leather goods, accessories, and footwear. Further details about the company can be found on its Wikipedia page. Since 1996, Celine is a part of multinational conglomerate LVHM (stock symbol MC:FP), whose market cap significantly increased after the acquisition. Details on the companys financials and stock market performance can be found on the companys Bloomberg page.
Celines biggest competitors in the luxury fashion space include renowned brands like Chloé, Givenchy, and Fendi. Chloé, a brand also under the LVMH group, positions itself as the epitome of femininity and romanticism. Givenchy, known for modern, creative fashion, is owned by the conglomerate LVMH. Fendi, a prestigious Italian luxury fashion house, became a subsidiary of LVMH in 2001. Further business insights about these competitors can be found on their respective Bloomberg pages, Chloé, Givenchy, and Fendi.
Web scraping the Celine website provides a wealth of information beneficial to various stakeholders. For both consumers and competitors, information about pricing and discount data can be extremely useful. Consumers can use this information to compare prices across different platforms and find the best deals, while competitors can use it to benchmark their pricing and promotional strategies. For financial analysts and investors, web scraped data provides insights into the companys revenue trends and business performance. Industry researchers can use this information to conduct market analysis and assess industry trends. Furthermore, web scrape data from Celine can serve as an essential piece in developing predictive models for supply chain planning, inventory management, and sales forecasting.