In November 2024, Google.com was the most popular website worldwide with 136 billion average monthly visits. The online platform has held the top spot as the most popular website since June 2010, when it pulled ahead of Yahoo into first place. Second-ranked YouTube generated more than 72.8 billion monthly visits in the measured period. 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.

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 November 2024, Google.com was the most popular website worldwide with approximately 6.25 billion unique monthly visitors. YouTube.com was ranked second with an estimated 3.64 billion unique monthly visitors. Both websites are among the most visited websites worldwide.

In November 2024, Google.com was the most visited website in Mexico, with approximately 2.83 billion total visits. Its local URL Google.com.mx ranked eleventh, with about 109 million accesses. Social video platform YouTube.com ranked second with 1.28 billion visits. Additionally, the social media platform Facebook.com ranked third with 316 million visits in the examined period.

In November 2024, WhatsApp.com was the most popular website in Spain by time per visit, with an average session length of approximately ** minutes and ** seconds. YouTube.com ranked second, with an average of ** minutes and ** seconds per visit. Despite being the leading website by total visits and unique visitors in the country, Google.com ranked fourth in engagement time, with ** minutes and ** seconds per session.

In November 2024, Google.com was the most visited website in Chile, with approximately 1.1 billion total visits. Its local URL Google.cl ranked eighth, with around 49.6 million visits. Meanwhile, YouTube.com came in second with 471 million total visits and Instagram.com ranked third with approximately 81.6 million total visits from Chilean online audiences.

In November 2024, Google.com was the leading website in Peru by unique visits, with around 41.6 million single accesses to the URL during that month. YouTube.com came in second with approximately 27 million unique monthly visits, while Facebook.com ranked third in the country, with 17.2 million unique monthly visits.

The share of monthly traffic of Google.com was approximately **** percent by females, and **** by males in the United Arab Emirates in December 2020. The most visited websites in the country for that year were Google, Facebook, and Youtube.

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.

The Easiest Way to Collect Data from the Internet Download anything you see on the internet into spreadsheets within a few clicks using our ready-made web crawlers or a few lines of code using our APIs

We have made it as simple as possible to collect data from websites

Easy to Use Crawlers Amazon Product Details and Pricing Scraper Amazon Product Details and Pricing Scraper Get product information, pricing, FBA, best seller rank, and much more from Amazon.

Google Maps Search Results Google Maps Search Results Get details like place name, phone number, address, website, ratings, and open hours from Google Maps or Google Places search results.

Twitter Scraper Twitter Scraper Get tweets, Twitter handle, content, number of replies, number of retweets, and more. All you need to provide is a URL to a profile, hashtag, or an advance search URL from Twitter.

Amazon Product Reviews and Ratings Amazon Product Reviews and Ratings Get customer reviews for any product on Amazon and get details like product name, brand, reviews and ratings, and more from Amazon.

Google Reviews Scraper Google Reviews Scraper Scrape Google reviews and get details like business or location name, address, review, ratings, and more for business and places.

Walmart Product Details & Pricing Walmart Product Details & Pricing Get the product name, pricing, number of ratings, reviews, product images, URL other product-related data from Walmart.

Amazon Search Results Scraper Amazon Search Results Scraper Get product search rank, pricing, availability, best seller rank, and much more from Amazon.

Amazon Best Sellers Amazon Best Sellers Get the bestseller rank, product name, pricing, number of ratings, rating, product images, and more from any Amazon Bestseller List.

Google Search Scraper Google Search Scraper Scrape Google search results and get details like search rank, paid and organic results, knowledge graph, related search results, and more.

Walmart Product Reviews & Ratings Walmart Product Reviews & Ratings Get customer reviews for any product on Walmart.com and get details like product name, brand, reviews, and ratings.

Scrape Emails and Contact Details Scrape Emails and Contact Details Get emails, addresses, contact numbers, social media links from any website.

Walmart Search Results Scraper Walmart Search Results Scraper Get Product details such as pricing, availability, reviews, ratings, and more from Walmart search results and categories.

Glassdoor Job Listings Glassdoor Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Glassdoor.

Indeed Job Listings Indeed Job Listings Scrape job details such as job title, salary, job description, location, company name, number of reviews, and ratings from Indeed.

LinkedIn Jobs Scraper Premium LinkedIn Jobs Scraper Scrape job listings on LinkedIn and extract job details such as job title, job description, location, company name, number of reviews, and more.

Redfin Scraper Premium Redfin Scraper Scrape real estate listings from Redfin. Extract property details such as address, price, mortgage, redfin estimate, broker name and more.

Yelp Business Details Scraper Yelp Business Details Scraper Scrape business details from Yelp such as phone number, address, website, and more from Yelp search and business details page.

Zillow Scraper Premium Zillow Scraper Scrape real estate listings from Zillow. Extract property details such as address, price, Broker, broker name and more.

Amazon product offers and third party sellers Amazon product offers and third party sellers Get product pricing, delivery details, FBA, seller details, and much more from the Amazon offer listing page.

Realtor Scraper Premium Realtor Scraper Scrape real estate listings from Realtor.com. Extract property details such as Address, Price, Area, Broker and more.

Target Product Details & Pricing Target Product Details & Pricing Get product details from search results and category pages such as pricing, availability, rating, reviews, and 20+ data points from Target.

Trulia Scraper Premium Trulia Scraper Scrape real estate listings from Trulia. Extract property details such as Address, Price, Area, Mortgage and more.

Amazon Customer FAQs Amazon Customer FAQs Get FAQs for any product on Amazon and get details like the question, answer, answered user name, and more.

Yellow Pages Scraper Yellow Pages Scraper Get details like business name, phone number, address, website, ratings, and more from Yellow Pages search results.

Context

The Google Merchandise Store sells Google branded merchandise. The data is typical of what you would see for an ecommerce website.

Content

The sample dataset contains Google Analytics 360 data from the Google Merchandise Store, a real ecommerce store. The Google Merchandise Store sells Google branded merchandise. The data is typical of what you would see for an ecommerce website. It includes the following kinds of information:

Traffic source data: information about where website visitors originate. This includes data about organic traffic, paid search traffic, display traffic, etc. Content data: information about the behavior of users on the site. This includes the URLs of pages that visitors look at, how they interact with content, etc. Transactional data: information about the transactions that occur on the Google Merchandise Store website.

Fork this kernel to get started.

Acknowledgements

Data from: https://bigquery.cloud.google.com/table/bigquery-public-data:google_analytics_sample.ga_sessions_20170801

Banner Photo by Edho Pratama from Unsplash.

Inspiration

What is the total number of transactions generated per device browser in July 2017?

The real bounce rate is defined as the percentage of visits with a single pageview. What was the real bounce rate per traffic source?

What was the average number of product pageviews for users who made a purchase in July 2017?

What was the average number of product pageviews for users who did not make a purchase in July 2017?

What was the average total transactions per user that made a purchase in July 2017?

What is the average amount of money spent per session in July 2017?

What is the sequence of pages viewed?

A dataset comparing features, pricing, and ratings of the top sites to buy website traffic in 2025: Google Ads, Facebook Ads, PropellerAds, and SparkTraffic.

Google.com recorded an average monthly traffic of **** billion visits in Japan from September to November 2024, which made it the most visited website. It was followed by Yahoo.co.jp and Youtube.com.

What is a quality website? We have now a definition by Google of what is a quality site; it is given by a link at bottom. These become even more essential since efforts to filter these sites in search results, depending on their quality. Now it is very easy to rank your content and sites through the high quality sites. There are lots of high quality sites over the internet like Forbes, Theweek, Zeebiz, NYtimes and Hackernoon etc. You can get Guest Post on Theweek and as well other high quality websites from the best guest post service online. Although the quality of a site has always been an issue it took a particular importance in April 2011 with the Panda Update, the change of the Google algorithm to eliminate poor quality pages that even go far in penalizing an entire site if a portion of its content is not well received by users and get no backlinks. A high quality website will grow over time both in terms of loyal readers but also in terms of search engine trust, which is equivalent to more organic visits. Google engineers are trying for years to make their algorithms clever enough to identify and rank websites that are of good quality. It is not an easy task, taking into account that everything has to be decided by a computer program and not a human. Nevertheless with the introduction of ‘Panda’ a few years ago, it seems that they are in the right path. What are the benefits for guest blogging? African Americans are establishing a business’s online at an accelerating rate. This is the perfect opportunity for black business owners to come together and network their services to one another. Even though our customer base embrace all nations, it is important that blacks establish a strong support system for one another. That support system will also provide the following: A great way to drive traffic and readership to your site or blog An outstanding opportunity to build your reputation and influence in your target market An excellent way to build "merit-based" links from relevant sites The Benefits of High Quality Content for SEO In order for your content to be effective and get the required results, people need to be able to find it. Content can simply not be found without good SEO, which includes the use of keywords, internal & external links, alt text and more. So, what exactly are the benefits? Content can be found easily Good rank positions Improved site score Improved website usability Improved user experience Reaching the right target audience This beginner’s guide to SEO content may help you to better understand the topic at hand or here is an info graphic which lists ten steps needed to generate the right kind of content and increase its impact. You can buy guest post on High Quality Websites. High quality content is what attracts users to your website, it gets them talking about and engaging with your brand. Theweek guest Post has high quality content. It increases the value of those links and can increase your popularity. Content marketing is an effective strategy for both B2C and B2B businesses, as long as you take the time to undertake research and piece together an effective content plan. User’s expectations have been set high and they expect certain content types to be a part of your marketing strategy. Without quality content or an effective content strategy your business will struggle to grow in the digital world.

Introduction

YouTube Creator Statistics: YouTube is the world's largest video-sharing platform. It was launched in Feb 2005. In 2006 it was purchased by Google in 2006. As of 2024, it is the world’s second most-viewed website after Google search. YouTube has managed to create an unprecedented social impact on the world. It has been instrumental in changing the overall dynamics of social media presence.

It has been a dominant force in shaping internet trends and creating millionaire celebrities. Likewise, it would be interesting to highlight YouTube creator statistics to gain valuable information on how this video-sharing platform has profoundly impacted the internet world.

Code:

Packet_Features_Generator.py & Features.py

To run this code:

pkt_features.py [-h] -i TXTFILE [-x X] [-y Y] [-z Z] [-ml] [-s S] -j

-h, --help show this help message and exit -i TXTFILE input text file -x X Add first X number of total packets as features. -y Y Add first Y number of negative packets as features. -z Z Add first Z number of positive packets as features. -ml Output to text file all websites in the format of websiteNumber1,feature1,feature2,... -s S Generate samples using size s. -j

Purpose:

Turns a text file containing lists of incomeing and outgoing network packet sizes into separate website objects with associative features.

Uses Features.py to calcualte the features.

startMachineLearning.sh & machineLearning.py

To run this code:

bash startMachineLearning.sh

This code then runs machineLearning.py in a tmux session with the nessisary file paths and flags

Options (to be edited within this file):

--evaluate-only to test 5 fold cross validation accuracy

--test-scaling-normalization to test 6 different combinations of scalers and normalizers

Note: once the best combination is determined, it should be added to the data_preprocessing function in machineLearning.py for future use

--grid-search to test the best grid search hyperparameters - note: the possible hyperparameters must be added to train_model under 'if not evaluateOnly:' - once best hyperparameters are determined, add them to train_model under 'if evaluateOnly:'

Purpose:

Using the .ml file generated by Packet_Features_Generator.py & Features.py, this program trains a RandomForest Classifier on the provided data and provides results using cross validation. These results include the best scaling and normailzation options for each data set as well as the best grid search hyperparameters based on the provided ranges.

Data

Encrypted network traffic was collected on an isolated computer visiting different Wikipedia and New York Times articles, different Google search queres (collected in the form of their autocomplete results and their results page), and different actions taken on a Virtual Reality head set.

Data for this experiment was stored and analyzed in the form of a txt file for each experiment which contains:

First number is a classification number to denote what website, query, or vr action is taking place.

The remaining numbers in each line denote:

The size of a packet,

and the direction it is traveling.

negative numbers denote incoming packets

positive numbers denote outgoing packets

Figure 4 Data

This data uses specific lines from the Virtual Reality.txt file.

The action 'LongText Search' refers to a user searching for "Saint Basils Cathedral" with text in the Wander app.

The action 'ShortText Search' refers to a user searching for "Mexico" with text in the Wander app.

The .xlsx and .csv file are identical

Each file includes (from right to left):

The origional packet data,

each line of data organized from smallest to largest packet size in order to calculate the mean and standard deviation of each packet capture,

and the final Cumulative Distrubution Function (CDF) caluclation that generated the Figure 4 Graph.

This data, exported from Google Analytics displays the most popular 50 pages on Austintexas.gov based on the following: Pageviews: The total number of times the page was viewed. Repeated views of a single page are counted. Unique Pageviews: The number of visits during which the specified page was viewed at least once. A unique pageview is counted for each page URL + page Title combination. Average Time on Page: The average amount of time users spent viewing a specified page or screen, or set of pages or screens. Entrances: The number of times visitors entered your site through a specified page or set of pages. Bounce Rate: The percentage of single-page visits (i.e. visits in which the person left your site from the entrance page without interacting with the page). Percent Exit: (number of exits) / (number of pageviews) for the page or set of pages. It indicates how often users exit from that page or set of pages when they view the page(s). This demonstrates the top 50 pages for a three-month period.

Between September and November 2023, google.com was the most popular website in Taiwan, with average monthly visits surpassing 3.61 billion. Youtube.com ranked second and facebook.com followed with a wide margin.