URL: https://kukbuk.pl
Category: Food and Drink
SubCategory: Cooking and Recipes
Language: Polish
Server: Amazon S3
App: Hugo
Prevalent audience:
Age: 25-55
Gender: female

URL: https://radishfiction.com
Category: Books and Literature
SubCategory: Online Bookstores
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 25-55
Gender: female

URL: https://zoox.com
Category: Automotive
SubCategory: Automotive Industry
Language: English
Server: Amazon S3
App: DatoCMS
Sentiment: Good
Prevalent audience:
Age: 30-50
Gender: male

URL: https://vietjetair.com
Category: Travel
SubCategory: Air Travel
Language: Vietnamese
Server: Amazon S3
App: Sitecore
Sentiment: Good
Prevalent audience:
Age: 25-54
Gender: all

URL: https://web18350.freshping.io
Category: Computer and Electronics
SubCategory: Cloud Computing
Language: English
Server: Amazon S3
App: Bootstrap
Sentiment: Neutral
Prevalent audience:
Age: 25-44
Gender: male

URL: https://java-users.jp
Category: Arts and Entertainment
SubCategory: Animation and Comics
Language: English
Server: Amazon S3
App: Hugo
Prevalent audience:
Age: 18-30
Gender: female

URL: https://williamhill.us
Category: Business and Industry
SubCategory: Business Services
Language: English
Server: Amazon S3
App: Next.js
Sentiment: Neutral
Prevalent audience:
Age: 30-45
Gender: male

URL: https://isekai-quartet.com
Category: Entertainment
SubCategory: TV Shows
Language: Japanese
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 18-65
Gender: all

URL: https://vegasmoose.com
Category: Gambling
SubCategory: Casinos
Language: English
Server: Amazon S3
App: Ember.js
Sentiment: Good
Prevalent audience:
Age: 18-36
Gender: male

URL: https://faeiscals.s4.es.cloud.vt.edu
Category: Education
SubCategory: College Education
Language: English
Server: Amazon S3
App: Hugo
Prevalent audience:
Age: 18-24
Gender: female

URL: https://status-admin.medicine.arizona.edu
Category: Arts and Entertainment
SubCategory: Animation and Comics
Language: English
Server: Amazon S3
App: React
Prevalent audience:
Age: 18-30
Gender: female

URL: https://lunrjs.com
Category: Computer and Electronics
SubCategory: Search
Language:
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 18-65
Gender: all

URL: https://ost.freshping.io
Category: Automotive
SubCategory: Automotive Industry
Language: English
Server: Amazon S3
App: Bootstrap
Sentiment: Neutral
Prevalent audience:
Age: 30-50
Gender: male

URL: https://nintendo.com.hk
Category: Computer and Electronics
SubCategory: Software
Language: Chinese
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 30-50
Gender: male

URL: https://mixmeister.com
Category: Music
SubCategory: Dance and Electronic Music
Language: English
Server: Amazon S3
App: Gatsby
Prevalent audience:
Age: 18-35
Gender: male

URL: https://www.puebla.io
Category: Geography
SubCategory: Physical Geography
Language: English
Server: Amazon S3
App: Hotjar
Sentiment: Good
Prevalent audience:
Age: 20-40
Gender: male

URL: https://holoviews.org
Category: Geography
SubCategory: Geographic Information Systems (GIS)
Language: English
Server: Amazon S3
App: Discourse
Prevalent audience:
Age: 25-45
Gender: male

URL: https://emergency.wvu.edu
Category: Crime
SubCategory: Law Enforcement
Language: English
Server: Amazon S3
Prevalent audience:
Age: 25-45
Gender: male

URL: https://randstad.it
Category: Business and Industry
SubCategory: Business Services
Language: Italian
Server: Amazon S3
App: Drupal
Prevalent audience:
Age: 30-45
Gender: male

URL: https://kobol.io
Category: Computer and Electronics
SubCategory: Computer Hardware
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 32-52
Gender: male

URL: https://nationalgeographicbrasil.com
Category: Education
SubCategory: College Education
Language: Portuguese
Server: Amazon S3
App: Spring
Prevalent audience:
Age: 18-24
Gender: female

URL: https://ukpsc.net.in
Category: Law and Government
SubCategory: Government
Language: English
Server: Amazon S3
App: Google Cloud CDN
Sentiment: Good
Prevalent audience:
Age: 34-54
Gender: female

URL: https://vusevapor.com
Category: Shopping
SubCategory: Consumer Electronics
Language: English
Server: Amazon S3
App: Adobe Experience Manager
Sentiment: Good
Prevalent audience:
Age: 27-40
Gender: male

URL: https://lookoutstyle.com
Category: Automotive
SubCategory: Automotive Industry
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 30-50
Gender: male

URL: https://uka.co.jp
Category: Beauty and Fitness
SubCategory: Beauty Products
Language: Japanese
Server: Amazon S3
App: Contentful
Sentiment: Good
Prevalent audience:
Age: 18-45
Gender: female