URL: https://anbg.gov.au
Category: Education
SubCategory: Special Education
Language:
Server: Amazon S3
App: Ember.js
Sentiment: Good
Prevalent audience:
Age: 25-44
Gender: female

URL: https://akhbarharian.com
Category: News and Media
SubCategory: Newspapers
Language: English
Server: Amazon S3
App: Google Analytics
Sentiment: Good
Prevalent audience:
Age: 50-64
Gender: female

URL: http://www.igoogleportal.com/
Category: Internet and Telecom
SubCategory: Search Engines
Language: English
Server: Amazon S3
App: Google Analytics
Sentiment: Good
Prevalent audience:
Age: 16-72
Gender: all

URL: https://allblk.tv
Category: Business and Industry
SubCategory: Marketing and Advertising
Language: English
Server: Amazon S3
App: Render
Sentiment: Good
Prevalent audience:
Age: 25-34
Gender: female

URL: https://amway.co.jp
Category: Adult
SubCategory: Audio
Language: Japanese
Server: Amazon S3
App: Spree Commerce
Sentiment: Good
Prevalent audience:
Age: 25-34
Gender: female

URL: https://alifta.net
Category: Books and Literature
SubCategory: Online Bookstores
Language:
Server: Amazon S3
App: jQuery
Sentiment: Good
Prevalent audience:
Age: 25-55
Gender: female

URL: https://allihoopa.com
Category: Music
SubCategory: Variety (Music and Audio)
Language: English
Server: Amazon S3
App: WordPress
Sentiment: Good
Prevalent audience:
Age: 35-65
Gender: all

URL: https://altfi.com
Category: Business and Industry
SubCategory: Publishing and Printing
Language:
Server: Amazon S3
App: Tailwind CSS
Sentiment: Good
Prevalent audience:
Age: 35-55
Gender: female

URL: https://allstar.gg
Category: Entertainment
SubCategory: Streaming Services
Language: English
Server: Amazon S3
App: Contentful
Sentiment: Good
Prevalent audience:
Age: 18-54
Gender: all

URL: http://places.tomtom.com/crawlerinfo
Category: Maps and Navigation
SubCategory: Route Planning
Language: English
Server: Amazon S3
Sentiment: Bad
Prevalent audience:
Age: 25-60
Gender: all

URL: http://cincrawdata.net/bot/
Category: Internet and Telecom
SubCategory: Search Engines
Language:
Server: Amazon S3
App: WordPress
Sentiment: Neutral
Prevalent audience:
Age: 16-72
Gender: all

URL: https://adelement.com
Category: Business and Industry
SubCategory: Marketing and Advertising
Language: English
Server: Amazon S3
App: Google Analytics
Sentiment: Good
Prevalent audience:
Age: 25-34
Gender: female

URL: https://abcotvs.com
Category: News and Media
SubCategory: Television News
Language: English
Server: Amazon S3
Sentiment: Good
Prevalent audience:
Age: 45-75
Gender: all

URL: https://adsrvr.org
Category: Computer and Electronics
SubCategory: Computer Hardware
Language: English
Server: Amazon S3
App: jQuery
Sentiment: Good
Prevalent audience:
Age: 32-52
Gender: male

URL: https://acrossthetimeline.com
Category: Sports
SubCategory: Basketball
Language:
Server: Amazon S3
App: Next.js
Sentiment: Good
Prevalent audience:
Age: 18-34
Gender: male

URL: https://zelda.com
Category: Entertainment
SubCategory: Game Shows
Language: English
Server: Amazon S3
App: Stimulus
Sentiment: Good
Prevalent audience:
Age: 35-65
Gender: female

URL: https://worldbenchmarkingalliance.org
Category: Business and Industry
SubCategory: Business Associations
Language: English
Server: Amazon S3
App: Medium
Sentiment: Good
Prevalent audience:
Age: 35-60
Gender: male

URL: https://motat.org.nz
Category: Attractions
SubCategory: Museums and Galleries
Language: English
Server: Amazon S3
App: Gatsby
Prevalent audience:
Age: 25-45
Gender: male

URL: https://thinkbig.it-prod-webhosting.aws.umd.edu
Category: Business and Industry
SubCategory: Marketing and Advertising
Language:
Server: Amazon S3
Prevalent audience:
Age: 25-34
Gender: female

URL: https://rayyan.ai
Category: Business and Industry
SubCategory: Business Services
Language: English
Server: Amazon S3
App: React
Prevalent audience:
Age: 30-45
Gender: male

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

URL: https://web18714.freshping.io
Category: Computer and Electronics
SubCategory: Computer Networking
Language: English
Server: Amazon S3
App: Bootstrap
Sentiment: Neutral
Prevalent audience:
Age: 25-44
Gender: male

URL: https://refiner.io
Category: Business and Industry
SubCategory: Marketing and Advertising
Language: English
Server: Amazon S3
App: React
Prevalent audience:
Age: 25-34
Gender: female

URL: https://inkfrog.com
Category: Business and Industry
SubCategory: E-Commerce
Language: English
Server: Amazon S3
App: Google Analytics
Prevalent audience:
Age: 25-34
Gender: male

URL: https://bugtracker.freshping.io
Category: Computer and Electronics
SubCategory: Programming
Language: English
Server: Amazon S3
App: Bootstrap
Sentiment: Neutral
Prevalent audience:
Age: 34-54
Gender: male