Skip to content

Latest commit

 

History

History
14 lines (7 loc) · 2.73 KB

README.md

File metadata and controls

14 lines (7 loc) · 2.73 KB

Ralph Lauren web scraped data

About the website

Ralph Lauren is a globally recognized and iconic flat luxury brand that was established in 1967 by American designer, Ralph Lauren. The company’s headquarters is located in the heart of New York City and operates in the fashion industry. From introducing its iconic Polo Ralph Lauren brand in 1968 to acquiring the Club Monaco brand in 1999, Ralph Lauren has expanded its portfolio to cover a wide range of products from clothing to home furnishings and fragrances. Ralph Lauren went public on June 11, 1997, and is listed on the New York Stock Exchange under the symbol "RL". As of the time of its initial public offering, the company had a market cap of $768.7 million. More details about their history and growth are documented on the Wikipedia page and Bloomberg page of Ralph Lauren.

Ralph Lauren competes with several luxury fashion houses. One of their primary competitors is Tommy Hilfiger. Though both Ralph Lauren and Tommy Hilfiger design and sell high-end clothing and accessories, their business models differ slightly; while Ralph Lauren has retained full control over his company, Tommy Hilfiger outsources some production processes to allow for a more flexible business model. Another chief competitor is Calvin Klein, a company known for its high-fashion appeal and minimalist aesthetic. Just like Ralph Lauren, they too operate a multi-brand strategy catering to different market segments. Their respective growth and business strategy can be studied on their Tommy Hilfiger Wikipedia page and Calvin Klein Wikipedia page.

Web scraping of Ralph Lauren website can provide valuable insights for the business and competitors alike. Pricing strategy being a critical part of the companys business model, scraping data regarding prices and discounts can provide insights into Ralph Lauren’s pricing trends and discount patterns. This data can then be used for price comparison and competitive pricing analysis. Additionally, such a dataset can form the basis for market research and trend analysis, fully identifying what items or styles are being heavily discounted, and when. Overall, web scraping provides a factual basis for understanding Ralph Laurens approach to pricing and sales, which can inform both competitive and market analysis.

Link to dataset

Ralph Lauren dataset