Datazivot’s Sephora Ratings and Reviews Datasets provide invaluable insights into customer opinions and product performance. Through web scraping Sephora ratings and reviews data, businesses can gather comprehensive information on consumer feedback, popular products, and trends. Extracting Sephora ratings and reviews data allows for improved decision-making, from marketing strategies to inventory management. For instance, analyzing customer reviews can highlight product strengths and weaknesses, helping brands refine their offerings. Scrape Sephora ratings and reviews data to monitor competitor products, understand pricing strategies, and identify new opportunities in the beauty industry.
With a web scraping service, businesses can efficiently collect data from countries like Japan, Italy, Germany, Canada, USA, Australia, UK, UAE, China, India, Switzerland, Singapore, Ireland, Austria, Denmark, and Norway. This global approach ensures a comprehensive understanding of consumer preferences and helps brands stay ahead in competitive markets. Utilize web scraping tools to extract Sephora ratings and reviews data and make informed decisions that drive growth and enhance customer satisfaction.
Product Name, Product ID, Brand, Category (E.G., Skincare, Makeup, Fragrance), Product Price, Review Title, Review Text, Rating Score (E.G., 1-5 Stars), Review Date, Reviewer Username, Reviewer Location (Country/Region), Number Of Reviews Written By The User, Number Of Likes/Upvotes On A Review, Review Verified Purchase Status, Review Comments, Review Image Urls, Review Summary Categories (Positive, Neutral, Negative), Product Attributes (Color, Size, Scent), Top Positive Comments, and Top Negative Comments
Data points count:
20
Delivery time:
Immediate
Availability or Type:
Immediate
Price
Format
Records
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