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.

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.

In November 2024, Google.com was the most visited website in the United States, with over 25 billion total visits. YouTube.com came in second with 12 billion total visits. Reddit.com and Amazon.com counted approximately 3.12 billion and 2.89 monthly visits each from U.S. online audiences.

Google Search Statistics 2023

• Google is the most searched website in the World.
• Google receives more visitors than any other site. Google is accessed 89.3 trillion times per month.
• Google is used by billions of people every day to conduct their searches. Google is much more than a simple search engine.
• Google provides many other services. Google Shopping and Google News also feature. Google Mail, Google's popular email service, is included.
• Google organic search traffic is 16.3% of the total US searches.

In March 2024, Google.com was the leading website in the United States. The search platform accounted for over 19 percent of desktop web traffic in the United States, ahead of second-ranked YouTube.com with 10.71 percent.

Column Descriptions

• Domain: Name of domain.
• Visits: Number of monthly visitors (in Billion).
• Desktop Share: % of visitors who uses a mobile desktop.
• Mobile Share: % of visitors who uses a mobile phone.
• MoM: % change in traffic as a percentage of the previous month's traffic stats.
• YoY: % change in traffic for the past 12 months as a percentage of the previous 12 months’ traffic stats.
• Main Traffic Source: Direct/Referral/Search/Social/Paid

Data Source: Open .Trends Last Update: November 2022

Silatus is sharing, for free, a segment of a dataset that we are using to train a generative AI model for text-to-mockup conversions. This dataset was collected in December 2022 and early January 2023, so it contains very recent data from 1,000 of the world's most popular websites. You can get our larger 10,000 website dataset for free at: https://silatus.com/datasets

This dataset includes:

High-res screenshots

• 1024x1024px
• Loaded Javascript
• Loaded Images

Text metadata

• Site title
• Navbar content
• Full page text data
• Page description

Visual metadata

• Content (images, videos, inputs, buttons) absolute & relative positions
• Color profile
• Base font

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.

This dataset contains a list of 3654 Dutch websites that we considered the most popular websites in 2015. This list served as whitelist for the Newstracker Research project in which we monitored the online web behaviour of a group of respondents.

The research project 'The Newstracker' was a subproject of the NWO-funded project 'The New News Consumer: A User-Based Innovation Project to Meet Paradigmatic Change in News Use and Media Habits'.

For the Newstracker project we aimed to understand the web behaviour of a group of respondents. We created custom-built software to monitor their web browsing behaviour on their laptops and desktops (please find the code in open access at https://github.com/NITechLabs/NewsTracker). For reasons of scale and privacy we created a whitelist with websites that were the most popular websites in 2015. We manually compiled this list by using data of DDMM, Alexa and own research. The dataset consists of 5 columns:
- the URL
- the type of website: We created a list of types of websites and each website has been manually labeled with 1 category
- Nieuws-regio: When the category was 'News', we subdivided these websites in the regional focus: International, National or Local
- Nieuws-onderwerp: Furthermore, each website under the category News was further subdivided in type of news website. For this we created an own list of news categories and manually coded each website
- Bron: For each website we noted which source we used to find this website.

The full description of the research design of the Newstracker including the set-up of this whitelist is included in the following article: Kleppe, M., Otte, M. (in print), 'Analysing & understanding news consumption patterns by tracking online user behaviour with a multimodal research design', Digital Scholarship in the Humanities, doi 10.1093/llc/fqx030.

Content

I collected data from here by country and with the help of a little bit of data wrangling, I could convert the data into the JSON and CSV format. The dataset contains 2 files:

countries.json: The top 50 most popular websites by each country, the ranking order is stored by indexes. sites.csv: General information about every website on the list, such as: * Daily Minutes on Site: Estimated daily minutes on site per visitor to the site * Daily Pageviews per Visitor: Estimated daily unique pageviews per visitor on the site * Ratio of Traffic From Search: The ratio of all referrals that came from Search engines over the trailing month * Total Sites Linking In: The total number of sites that are linked to this website

Acknowledgements

Source: Alexa.com.

In November 2024, Google.com was the leading website in the United Kingdom with more than 4.16 billion monthly visits. The search engine was also popular in its UK top-level domain, with Google.co.uk reaching 267 million views and placing tenth in the ranking. YouTube and Facebook were the most visited social media platforms, ranking as the second and fifth most visited websites in the country.

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 November 2024, Xvideos.com was the website with the most pages per visit in Mexico, with an average of *** pages visited per session. Google.com.mx, Live.com, and PornHub.com followed with ****, ****, and **** pages per visit. Search engine giant Google.com ranked thirteenth, with **** pages.

Dataset Overview

This dataset provides detailed information on website traffic, including page views, session duration, bounce rate, traffic source, time spent on page, previous visits, and conversion rate.

Dataset Description

• Page Views: The number of pages viewed during a session.
• Session Duration: The total duration of the session in minutes.
• Bounce Rate: The percentage of visitors who navigate away from the site after viewing only one page.
• Traffic Source: The origin of the traffic (e.g., Organic, Social, Paid).
• Time on Page: The amount of time spent on the specific page.
• Previous Visits: The number of previous visits by the same visitor.
• Conversion Rate: The percentage of visitors who completed a desired action (e.g., making a purchase).

Data Summary

• Total Records: 2000
• Total Features: 7

Key Features

1. Page Views: This feature indicates the engagement level of the visitors by showing how many pages they visit during their session.
2. Session Duration: This feature measures the length of time a visitor stays on the website, which can indicate the quality of the content.
3. Bounce Rate: A critical metric for understanding user behavior. A high bounce rate may indicate that visitors are not finding what they are looking for.
4. Traffic Source: Understanding where your traffic comes from can help in optimizing marketing strategies.
5. Time on Page: This helps in analyzing which pages are retaining visitors' attention the most.
6. Previous Visits: This can be used to analyze the loyalty of visitors and the effectiveness of retention strategies.
7. Conversion Rate: The ultimate metric for measuring the effectiveness of the website in achieving its goals.

Usage

This dataset can be used for various analyses such as:

• Identifying key drivers of engagement and conversion.
• Analyzing the effectiveness of different traffic sources.
• Understanding user behavior patterns and optimizing the website accordingly.
• Improving marketing strategies based on traffic source performance.
• Enhancing user experience by analyzing time spent on different pages.

Acknowledgments

This dataset was generated for educational purposes and is not from a real website. It serves as a tool for learning data analysis and machine learning techniques.

Key Google Search Statistics

Google Is the Most Searched Website

• The voice search market is expected to reach approximately USD 112.5 billion by 2033, up from USD 24.2 billion in 2023, growing at a CAGR of 19.2% over the forecast period from 2023 to 2032.
• Google is the site that receives the most visitors. Google is accessed over 89.3 billion times per month.
• Google is used every day by billions of users to do their searches. Google is more than just a search tool.
• Google offers many other services. Google Shopping and Google News are also included. Gmail, Google's popular mail service, is also available.
• Google organic search traffic in the US is 16.3% from searches for "Google".

(Source: Similarweb)

Google's Curious Facts

• Google was initially called "Backrub" before it was renamed.
• Google's first data center was built in co-founder Larry Page's dorm room.
• Google took one month in 1999 to crawl and index 50 million pages.
• In 2012, it took less than a minute to complete the same task.
• Every day, 16% to 20 % of the questions that are asked have never been asked.
• Each query must travel an average of 1,500 miles from the user's computer to a data center and back.
• Google uses 1,000 computers to answer a single query in just 0.2 seconds.
• Google Search Index contains over 100 million gigabytes of data.
• The company's homepage is purposefully kept simple to maintain fast loading times.
• Google processes over 40,000 search queries per second.
• The "I'm Feeling Lucky" button costs Google around $110 million per year in lost ad revenue.
• The "I'm Feeling Lucky" button bypasses search results and goes directly to the first-ranked page.
• The company's search algorithm takes over 200 factors into account when ranking web pages.
• Google receives around 2 million search queries every minute.
• The search engine can recognize and translate over 100 languages.
• Google's autocomplete feature is based on real-time data from users' searches.
• Google's first doodle appeared in 1998...

Among the ** most popular websites in Russia, Google.com had the highest average monthly traffic, at over five billion visits in November 2024. It was followed by the Russian search engine Yandex.ru, with around *** billion visits in the same period.

According to a report published by DataReportal, as of November 2023, the most visited website in Thailand was Google.com with approximately *** million monthly visits. This was followed by Youtube.com with around *** million monthly visits in that year.

A line chart that shows % of U.S. adults who say they ever use …

According to Nielsen Koreanclick, naver.com was the most visited website as of June 2025, with over ** million unique visitors and a reach of around ** percent. Naver’s home advantage against Google Naver is a search engine developed in South Korea and operated by Naver Corporation. After its launch in 1999, the company furthered its reach by becoming an early pioneer in user-generated content. Nowadays, the website features blogs, a web comic service, internet communities and much more. Having established an all-Korean website that features several all-Korean services, Naver has deep roots in South Korean online culture and a big advantage against Google. Another loss for Google was the blockade of its navigation service within the country boarders by the South Korean government. Internet usage South Korea is not only among the countries with the fastest mobile internet, but also an internet penetration rate of over ** percent. Additionally, ***percent of South Koreans aged six years or older own a smartphone. Therefore, it is no surprise, that South Korea was the first country to upgrade their networks to 5G. With an average citizen of each age group spending multiple hours online per day, the internet plays an important role in daily lives.

Dataset

This dataset was created by Nina Luquez

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