Text classification results using https://ollama.com/ for category Food and Drink subcategory Beverages:
URL: https://starbucks.com
Category: Food and Drink
SubCategory: Beverages
Language: English
Prevalent audience:
Age: 19-50
Gender: male

URL: https://lingojam.com
Category: Food and Drink
SubCategory: Beverages
Language: English
Prevalent audience:
Age: 19-50
Gender: male

URL: https://tchibo.de
Category: Food and Drink
SubCategory: Beverages
Language: German
Prevalent audience:
Age: 19-50
Gender: male

URL: https://starbucks.co.jp
Category: Food and Drink
SubCategory: Beverages
Language: Japanese
Prevalent audience:
Age: 19-50
Gender: male

URL: https://nespresso.com
Category: Food and Drink
SubCategory: Beverages
Language: English
Prevalent audience:
Age: 19-50
Gender: male

URL: https://wine-world.com
Category: Food and Drink
SubCategory: Beverages
Language: Chinese
Prevalent audience:
Age: 19-50
Gender: male