Google.com continues to dominate the digital landscape, ranking as the most linked-to website worldwide with 468,745 referring subnets as of December 2024. Facebook.com follows closely in second place with 470,479 referring subnets, while YouTube.com ranked third with 417,827.

In August 2025, Google.com was the most visited website worldwide, with an average of 98.2 billion monthly visits. The platform has maintained its leading position since June 2010, when it surpassed Yahoo to take first place. YouTube ranked second during the same period, recording over 48 billion monthly visits. The internet leaders: search, social, and e-commerce Social networks, search engines, and e-commerce websites shape the online experience as we know it. While Google leads the global online search market by far, YouTube and Facebook have become the world’s most popular websites for user generated content, solidifying Alphabet’s and Meta’s leadership over the online landscape. Meanwhile, websites such as Amazon and eBay generate millions in profits from the sale and distribution of goods, making the e-market sector an integral part of the global retail scene. What is next for online content? Powering social media and websites like Reddit and Wikipedia, user-generated content keeps moving the internet’s engines. However, the rise of generative artificial intelligence will bring significant changes to how online content is produced and handled. ChatGPT is already transforming how online search is performed, and news of Google's 2024 deal for licensing Reddit content to train large language models (LLMs) signal that the internet is likely to go through a new revolution. While AI's impact on the online market might bring both opportunities and challenges, effective content management will remain crucial for profitability on the web.

Context

This dataset includes some of the basic information of the websites we daily use. While scrapping this info, I learned quite a lot in R programming, system speed, memory usage etc. and developed my niche in Web Scrapping. It took about 4-5 hrs for scrapping this data through my system (4GB RAM) and nearly about 4-5 days working out my idea through this project.

Content

The dataset contains Top 50 ranked sites from each 191 countries along with their traffic (global) rank. Here, country_rank represent the traffic rank of that site within the country, and traffic_rank represent the global traffic rank of that site.

Since most of the columns meaning can be derived from their name itself, its pretty much straight forward to understand this dataset. However, there are some instances of confusion which I would like to explain in here:

1) most of the numeric values are in character format, hence, contain spaces which you might need to clean on.

2) There are multiple instances of same website. for.e.g. Yahoo. com is present in 179 rows within this dataset. This is due to their different country rank in each country.

3)The information provided in this dataset is for the top 50 websites in 191 countries as on 25th May 2017 and is subjected to change in future time due to the dynamic structure of ranking.

4) The dataset inactual contains 9540 rows instead of 9550(50*191 rows). This was due to the unavailability of information for 10 websites.

PS: in case if there are anymore queries, comment on this, I'll add an answer to that in above list.

Acknowledgements

I wouldn't have done this without the help of others. I've scrapped this information from publicly available (open to all) websites namely: 1) http://data.danetsoft.com/ 2) http://www.alexa.com/topsites , of which i'm highly grateful. I truly appreciate and thanks the owner of these sites for providing us with the information that I included today in this dataset.

Inspiration

I feel that there this a lot of scope for exploring & visualization this dataset to find out the trends in the attributes of these websites across countries. Also, one could try predicting the traffic(global) rank being a dependent factor on the other attributes of the website. In any case, this dataset will help you find out the popular sites in your area.

Explore the Times Higher Education World University Rankings 2026 below. Trusted worldwide by students, academics, governments and industry experts, the list of the best universities in the world includes 2,191 institutions from 115 countries and territories.

In August 2025, Google.com was the most visited website worldwide, attracting approximately 5.66 billion unique monthly visitors. YouTube.com ranked second, with an estimated 2.98 billion unique visitors. Both platforms also held the top positions globally in terms of total website visits.

A complete list of live websites using the Wp Google Ranking technology, compiled through global website indexing conducted by WebTechSurvey.

triple.global is ranked #7765 in KR with 588.17K Traffic. Categories: . Learn more about website traffic, market share, and more!

track.global is ranked #13467 in RU with 360.25K Traffic. Categories: . Learn more about website traffic, market share, and more!

A complete list of live websites using the Wordpress Seo Rank technology, compiled through global website indexing conducted by WebTechSurvey.

Designed and produced by the World Wide Web Foundation, the Web Index is the world’s first measure of the World Wide Web’s contribution to social, economic and political progress in countries across the world. http://thewebindex.org/about/ Scores are given in the areas of universal access; freedom and openness; relevant content; and empowerment. First released in 2012, the 2014-15 Index has been expanded and refined to include a total of 86 countries and features an enhanced data set, particularly in the areas of gender, Open Data, privacy rights and censorship. The Index combines existing secondary data with new primary data derived from an evidence-based expert assessment survey. The Web Index provides an objective and robust evidence base to inform public dialogue on the steps needed for societies to leverage greater value from the Web. It is published annually and resources permitting, it will continue to be expanded to cover more countries in the coming years. It will eventually allow for comparisons of trends over time and the benchmarking of performance across countries, continuously improving our understanding of the Web’s value for humanity.

A complete list of live websites using the Ranks technology, compiled through global website indexing conducted by WebTechSurvey.

A complete list of live websites using the Simple Category Ranking technology, compiled through global website indexing conducted by WebTechSurvey.

global-jump.top is ranked # in US with 0 Traffic. Categories: . Learn more about website traffic, market share, and more!

Context

A listing of the top 1-million websites according to Alexa.com.

Content

Rank and Site name

Acknowledgements

Fork from: https://github.com/mozilla/cipherscan/tree/master/top1m

global.com is ranked #12681 in GB with 208.4K Traffic. Categories: Advertising and Marketing. Learn more about website traffic, market share, and more!

A complete list of live websites using the Rank Expert technology, compiled through global website indexing conducted by WebTechSurvey.

The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators. For comparative purposes, the value of the composite indicator has been set on a scale of 0 to 100. However the line graphs and bar graphs always represent ranks (lower is better, so the highest values are the worst).

A complete list of live websites using the Picture Perfect Ranking Leaderboard technology, compiled through global website indexing conducted by WebTechSurvey.

The Times Higher Education World University Rankings 2024 dataset include 1,904 universities across 108 countries and regions.

THE (Times Higher Education) has been providing trusted performance data on universities for students and their families, academics, university leaders, governments and industry, since 2004.

The table is based on their new WUR 3.0 methodology, which includes 18 carefully calibrated performance indicators that measure an institution’s performance across five areas: teaching, research environment, research quality, industry, and international outlook.

This year’s ranking analysed more than 134 million citations across 16.5 million research publications and included survey responses from 68,402 scholars globally. Overall, we collected 411,789 datapoints from more than 2,673 institutions that submitted data.

Trusted worldwide by students, teachers, governments and industry experts, the 2024 league table reveals how the global higher education landscape is shifting.

The University of Oxford tops the ranking for the eighth year in a row, but others in the top five have seen shifts in their ranks. Stanford University moves up to second place, pushing Harvard University down to fourth.

In addition to the 1,904 ranked institutions, a further 769 universities are listed with “reporter” status, meaning that they provided data but did not meet our eligibility criteria to receive a rank, and agreed to be displayed as a reporter in the final table.

If you want to know about the Methodology: click here

*Since you have reached till here, please consider upvoting if you find this dataset helpful*

Acknowledgements - The Times World University Rankings 2024 raw data, image and content of the description is taken directly from 'THE' website https://www.timeshighereducation.com/world-university-rankings . - The dataset is uploaded for educational, research purpose, I do not claim to be original owner of the data