/Douglas-web-scraped-data

Douglas web scraped data, on sale on Databoutique.com. Dataset created with web scraping, full snapshot of the website.

Douglas web scraped data

About the website

Douglas is a multinational company specializing in the retail sale of cosmetics and perfumes, and is based in Düsseldorf, Germany. The company was founded in Hamburg in 1821 as a soap factory and over time expanded its range to include toiletries, fashion accessories, and home decor items. Notably, Douglas is a private company and not listed on any stock exchanges. The company has had a notable history of profitability and growth, something you can learn more about on their Wikipedia page or their Bloomberg profile.

In the competitive landscape, Douglas finds itself up against companies such as LOreal, Sephora, and Estee Lauder. All of these competitors also operate retail platforms with a strong online presence for beauty and personal care products. LOreal, based in France, is the worlds largest cosmetics company and focuses on cosmetics, skin care, hair color and perfume. You can read more about them on their website, Wikipedia page, or Bloomberg profile. Sephora, another French company, runs a chain of personal care and beauty stores and is also a worthy competitor. Find out more on their website, Wikipedia page, or Bloomberg profile. Finally, Estee Lauder, an American multinational manufacturer and marketer of prestige skincare, makeup, fragrance, and hair care products, is another rival in a similar segment. Such details are available on their website, Wikipedia page, or Bloomberg profile.

Web scraping Douglas website for factual data such as prices and discounts presents multiple use cases. Firstly, it enables tracking product and category level pricing metrics over time, enabling long term market trend analysis. Secondly, it equips companies to monitor competitors pricing strategy and dynamically adjust their own pricing in response. This is particularly helpful in a volatile market condition where constant adjustments are required. Lastly, it allows identification of commodities that consistently have discounts, offering customer insight into products popularity, aiding in stock management. Therefore, web-scraped data acts as a useful strategic tool for retail enterprises.

Link to dataset

Douglas dataset