In February 2026, Google.com was the most visited website worldwide, with 88.46 billion 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 45.07 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) signals 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.

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.

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.

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.

This file presents a cleaned, transformed, and preprocessed version of the university ranking data. All necessary data cleaning steps have been applied to ensure the data is consistent, accurate, and immediately usable for analysis and machine learning tasks.

The cleaning process involved:** - Robust handling of missing values (e.g., imputation or removal based on data characteristics). - Corrections of data types for all numerical columns (Overall Teaching Score, Research Score, Research Quality, Industry Income Score, International Outlook Score, Overall Score, Rank). - Standardization of text fields (University, Location) for uniformity. - Identification and removal/handling of duplicate entries.

Purpose: This dataset is perfect for:

• Direct exploratory data analysis (EDA) and data visualization.
• Building predictive models (e.g., predicting university rank or performance factors).
• Conducting comparative studies and trend analysis of global higher education. Ready for: Machine Learning, Statistical Analysis, Data Visualization, Educational Research.

Data Source: This dataset on global university rankings was compiled from publicly available data on a renowned Times Higher Education World University Rankings website (https://www.timeshighereducation.com/world-university-rankings)

Data Collection Method: The raw data for this dataset was systematically scraped from the aforementioned public source using automated scripts. This process involved: 1. Identifying relevant pages: Locating the pages containing the university ranking.

1. HTML Parsing: Extracting the structured data (university names, scores, ranks, location, etc.) from the HTML content of these pages.
2. Initial Storage:Saving the extracted raw data into a preliminary format before any cleaning.

Disclaimer: This dataset is provided for educational and analytical purposes. While efforts were made to accurately capture the publicly available data, users are encouraged to refer to the original ranking sources for official and the most up-to-date information, as data on external websites may change.

sign.global is ranked #4450935 in US with 0 Traffic. Categories: . Learn more about website traffic, market share, and more!

toomics.global is ranked #56834 in IT with 23.48K Traffic. Categories: . Learn more about website traffic, market share, and more!

global.sharp is ranked #122222 in US with 186.97K Traffic. Categories: Information Technology. Learn more about website traffic, market share, and more!

nature.global is ranked #28755 in JP with 92.17K Traffic. Categories: Online Services. Learn more about website traffic, market share, and more!

dewalt.global is ranked #63938 in IN with 96.16K Traffic. Categories: Retail. Learn more about website traffic, market share, and more!

In the second quarter of 2025, mobile devices (excluding tablets) accounted for 62.54 percent of global website traffic. Since consistently maintaining a share of around 50 percent beginning in 2017, mobile usage surpassed this threshold in 2020 and has demonstrated steady growth in its dominance of global web access. Mobile traffic Due to low infrastructure and financial restraints, many emerging digital markets skipped the desktop internet phase entirely and moved straight onto mobile internet via smartphone and tablet devices. India is a prime example of a market with a significant mobile-first online population. Other countries with a significant share of mobile internet traffic include Nigeria, Ghana and Kenya. In most African markets, mobile accounts for more than half of the web traffic. By contrast, mobile only makes up around 45.49 percent of online traffic in the United States. Mobile usage The most popular mobile internet activities worldwide include watching movies or videos online, e-mail usage and accessing social media. Apps are a very popular way to watch video on the go and the most-downloaded entertainment apps in the Apple App Store are Netflix, Tencent Video and Amazon Prime Video.

This dataset contains structured outputs extracted from the THE World University Rankings API using a lightweight Python tool.

The official THE interface limits data visibility, but the backend exposes the information through an accessible API.

This project retrieves that data and provides it in a clean, reusable JSON format suitable for: - academic analytics - higher education research - university benchmarking - dashboard/reporting systems - strategy and ranking performance tracking

The dataset is intended for analysts, researchers, and developers working with institutional data and ranking metrics.

🧰 Included Files You can upload one or multiple items depending on your workflow: - /json/ — Raw JSON files retrieved from the API - sample_output.json — Sample ranking dataset - api_endpoints.txt — List of API endpoints used - script.py — Python script to fetch data (optional, if you want to publish)

🔧 How the Data Was Collected The Python tool connects to the backend API powering the THE ranking website and retrieves: - ranking metadata - institution details - scores and category breakdowns - year-specific ranking positions - geographical & sector-specific information - The API does not require authentication for these endpoints.

🧪 Example Usage (Python) import json

with open("sample_output.json", "r") as f: data = json.load(f)

Example: print the top 10 institutions

for item in data[:10]: print(item["rank"], item["name"], item.get("location")) 📊 Possible Applications Trend analysis of university rankings Comparing institutions across regions Visualizing score changes over time Creating dashboards with Power BI, Tableau, or Python Feeding institutional research systems 🚀 Author Cenk Kabahasanoğlu

Dev.to Article: https://dev.to/c3nk/a-python-tool-that-simplifies-access-to-the-world-university-rankings-data-24im

GitHub Repository: https://github.com/c3nk/THE-World-University-Rankings

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. Read the full methodology here.

machine.global is ranked #5151 in BR with 412.77K Traffic. Categories: Information Technology, Transportation and Logistics. Learn more about website traffic, market share, and more!

mobile2.global is ranked #10181 in TR with 167.66K Traffic. Categories: . Learn more about website traffic, market share, and more!

track.global is ranked #12870 in RU with 217.85K Traffic. Categories: . Learn more about website traffic, market share, and more!

global.brother is ranked #13398 in DE with 664.02K Traffic. Categories: . Learn more about website traffic, market share, and more!

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

global-exam.com is ranked #4032 in FR with 618.53K Traffic. Categories: Distance Learning, Education. Learn more about website traffic, market share, and more!

The Times Higher Education World University Rankings 2019 includes more than 1,250 universities, making it our biggest international league table to date. It is the only global university performance table to judge research-intensive universities across all of their core missions: teaching, research, knowledge transfer and international outlook. We use 13 carefully calibrated performance indicators to provide the most comprehensive and balanced comparisons, trusted by students, academics, university leaders, industry and governments.