In January 2024, search platform Google.com was the top ranking website in South Africa with an average monthly traffic of almost 509 million monthly visits. Social platform Facebook.com ranked second, with an average monthly traffic of 149 million total visits.

From September to November 2023, YouTube.com was the most popular website in Spain by time per visit, with an average session length of approximately 32 minutes and 16 seconds. AnimeFLV.net ranked second, with an average of 32 minutes and six seconds per visit. Despite being the leading website by total visits and unique visitors in the country, Google.com ranked third in engagement time, with 21 minutes and 13 seconds per session.

This dataset is composed of the URLs of the top 1 million websites. The domains are ranked using the Alexa traffic ranking which is determined using a combination of the browsing behavior of users on the website, the number of unique visitors, and the number of pageviews. In more detail, unique visitors are the number of unique users who visit a website on a given day, and pageviews are the total number of user URL requests for the website. However, multiple requests for the same website on the same day are counted as a single pageview. The website with the highest combination of unique visitors and pageviews is ranked the highest

Context

Alexa Internet was founded in April 1996 by Brewster Kahle and Bruce Gilliat. The company's name was chosen in homage to the Library of Alexandria of Ptolemaic Egypt, drawing a parallel between the largest repository of knowledge in the ancient world and the potential of the Internet to become a similar store of knowledge. (from Wikipedia)

The categories list was going out by September, 17h, 2020. So I would like to save it. https://support.alexa.com/hc/en-us/articles/360051913314

This dataset was elaborated by this python script (V2.0): https://github.com/natanael127/dump-alexa-ranking

Content

The sites are grouped in 17 macro categories and this tree ends having more than 360.000 nodes. Subjects are very organized and each of them has its own rank of most accessed domains. So, even the keys of a sub-dictionary may be a good small dataset to use.

Acknowledgements

Thank you my friend André (https://github.com/andrerclaudio) by helping me with tips of Google Colaboratory and computational power to get the data until our deadline.

Inspiration

Alexa ranking was inspired by Library of Alexandria. In the modern world, it may be a good start for AI know more about many, many subjects of the world.

From April 2022 to January 2024, the ************************************************* saw an average of approximately ** million visits, ranking as the most popular education site worldwide. ********, which offers classes and certifications on various subjects, saw ** million visits from global users in the examined period. ********************************************** for students and teachers, ranked third with ***** million visits recorded on average between April 2022 and the beginning of 2024.

Dataset

This dataset was created by DNS_dataset

Contents

In November 2024, Google.com held the top spot in India's website rankings, averaging over 9.11 billion monthly visits. YouTube ranked second, with a traffic of 5.01 billion visits, while social platforms Instagram.com and Facebook.com followed with 765 million and 649 million monthly visits each. Internet penetration In the past decade, India has witnessed a remarkable transformation in its digital landscape. This substantial expansion has resulted in extensive digital connectivity, with more than half of India's 1.4 billion citizens now enjoying internet access. India ranked 52nd on the Digital Quality of Life Index in 2023, which revealed electronic infrastructure as one of the country’s strengths. YouTube in India As of 2025, India had the world’s largest YouTube user base, figuring over 491 million users. The video platform caters to the nation’s tech-savvy denizens as an educational resource and a source of entertainment. Moreover, YouTube has evolved into a dynamic space for digital marketing, especially harnessing the consumer base segment aged below 32.

From September to November 2023, search platform Google.com was the top ranking website in Canada, with average monthly traffic of almost four billion visits. YouTube ranked second with almost three billion visits. Social network Facebook.com ranked third, with total monthly traffic of 470 million visits.

DataForSEO Labs API offers three powerful keyword research algorithms and historical keyword data:

• Related Keywords from the “searches related to” element of Google SERP. • Keyword Suggestions that match the specified seed keyword with additional words before, after, or within the seed key phrase. • Keyword Ideas that fall into the same category as specified seed keywords. • Historical Search Volume with current cost-per-click, and competition values.

Based on in-market categories of Google Ads, you can get keyword ideas from the relevant Categories For Domain and discover relevant Keywords For Categories. You can also obtain Top Google Searches with AdWords and Bing Ads metrics, product categories, and Google SERP data.

You will find well-rounded ways to scout the competitors:

• Domain Whois Overview with ranking and traffic info from organic and paid search. • Ranked Keywords that any domain or URL has positions for in SERP. • SERP Competitors and the rankings they hold for the keywords you specify. • Competitors Domain with a full overview of its rankings and traffic from organic and paid search. • Domain Intersection keywords for which both specified domains rank within the same SERPs. • Subdomains for the target domain you specify along with the ranking distribution across organic and paid search. • Relevant Pages of the specified domain with rankings and traffic data. • Domain Rank Overview with ranking and traffic data from organic and paid search. • Historical Rank Overview with historical data on rankings and traffic of the specified domain from organic and paid search. • Page Intersection keywords for which the specified pages rank within the same SERP.

All DataForSEO Labs API endpoints function in the Live mode. This means you will be provided with the results in response right after sending the necessary parameters with a POST request.

The limit is 2000 API calls per minute, however, you can contact our support team if your project requires higher rates.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

United States's complete top websites ranking list: Click here for free access to the top websites in United States, ranked by traffic and engagement

Worldwide Traffic Congestion Ranking [between: 19Jun2022 & 26Jun2022]

TCI, calculated only for the center of the tracked location (the city image is split in 9 equal rectangles, forming a 3x3 grid. The central rectangle is taken into consideration when calculating TCI).

Every 20 minutes, the web app saves an image for each tracked location, containing the traffic data reported by Google Maps. After a couple of minutes, the images are analyzed, and the percentages of the 4 traffic colors are calculated.

Let's call these percentages: green → P0 orange → P1 red → P2 dark red → P3

Obviously , the sum of all these percentages is 100: P0 + P1 + P2 + P3 = 100 Based on these percentages, the TCI (Traffic Congestion Index) is calculated:

TCI = (0 * P0) + (1 * P1) + (2 * P2) + (3 * P3)

So the minimum value of TCI is 0, and the maximum value of TCI is 300 (highly improbable to happen). Examples:

The global website traffic analysis tool market is experiencing robust growth, driven by the increasing reliance on digital marketing and the need for businesses of all sizes to understand their online audience. The market, estimated at $15 billion in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $45 billion by 2033. This expansion is fueled by several key factors. The rising adoption of cloud-based solutions provides scalability and cost-effectiveness for businesses, particularly SMEs seeking affordable analytics. Moreover, the evolution of sophisticated analytics features, including advanced user behavior tracking and predictive analytics, enhances the value proposition for both SMEs and large enterprises. The market is segmented by application (SMEs and large enterprises) and by type (cloud-based and web-based), with cloud-based solutions dominating due to their accessibility and flexibility. Competitive pressures among numerous vendors, including established players like Google Analytics, Semrush, and Ahrefs, as well as emerging niche players, drive innovation and affordability, benefiting users. Geographic distribution shows strong growth across North America and Europe, with Asia-Pacific emerging as a high-growth region. However, factors such as data privacy concerns and the increasing complexity of website analytics can act as potential restraints. Despite these challenges, the continued expansion of e-commerce and digital marketing strategies across various industries will solidify the demand for robust website traffic analysis tools. The market is expected to witness further consolidation through mergers and acquisitions, with leading players investing heavily in research and development to enhance their offerings. The increasing need for real-time data analysis and integration with other marketing automation platforms will further shape market evolution. The emergence of AI-powered analytics, providing predictive insights and automated reporting, is transforming the industry and will continue to drive market expansion in the coming years. This makes this market an attractive landscape for investors and technology providers looking for strong future growth.

The complete Social Media Networks websites ranking list: Click here for free access to the top Social Media Networks websites in the world, ranked by traffic and engagement

This line inventory provides an overview of current and future traffic-effective construction sites and barriers in the higher-ranking road network of Vienna.

Google.com was the website with the most page views per day in Bolivia in February 2022, according to ranking by Alexa. The website had more than ***** daily page views and was followed by Unitel.bo, with ** page views per day that month. Within Latin America, Mexico was the country where Amazon Alexa contained the largest number of skills.

In 2019, the Chinese marketplace Alibaba was the leading worldwide B2B e-commerce in terms of online traffic. The Alexa tool assessing the online traffic of websites put it on the top of the ranking, with a score of ***. The Russian Rosfirm and the U.S. platform Vinsuite followed in the ranking with a score of ***** and *****, respectively.

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.

WSDOT evaluated and assigned a Level of Traffic Stress (LTS) ranking to WA state highway segments to aid in efforts to analyze high-level systemic safety and user acceptance of state highways for active transportation users. This data was also intended to inform high-level prioritization of active transportation improvements. LTS data rank highway segments from 1 to 4 based on roadway characteristics like posted speed, vehicle volume, number of travel lanes, and presence of active transportation infrastructure like sidewalks and bike lanes. WSDOT deemed LTS 1 suitable for all ages and abilities. LTS 2 is considered suitable for most active travelers. LTS 3 and 4 represent functional gaps in active transportation networks that present systemic safety issues and likely deter use of active modes.The data reports a Pedestrian Level of Traffic Stress (PLTS) and Bicycle Level of Traffic Stress (BLTS) based on the presence of mode-specific infrastructure and calculated using guidance from the WSDOT Design Manual, updated September 2024. PLTS is calculated using Exhibits 1520-1 and 1520-2 based on the presence of sidewalks recorded in WSDOT enterprise sidewalk data and presence and width of a paved shoulder recorded in the State Highway Log Roadway Data Shoulders dataset. BLTS is calculated using Exhibits 1520-5, 1520-6, and 1520-7 based on the presence and width of bike lanes recorded in the State Highway Log Special Use Lanes dataset. Data is not currently available on presence of separation materials, so bike lanes were only considered based on their width. The General LTS measure is based on Exhibit 1520-5. Ramp segments are included in the dataset with a default LTS ranking of 999. This ranking indicates that all ramps are to be considered high LTS (3 or 4) unless a manual evaluation of the roadway characteristics indicates otherwise. Datasets were not available that would enable ramp rankings to be determined systematically based on posted speed, traffic volume, and number of travel lanes, however a manual review of many ramp configurations across the state indicated that most ramps present LTS concerns.The data provided is not a substitute for detailed investigation of a location when specific investment decisions are being considered. The specific characteristics of locations with the same LTS rankings could vary considerably. It is important to note that an LTS 1 or 2 location might have additional, unmeasured characteristics that reduce its presumed suitability for active travel.For additional information regarding ranking methodology or other questions about WSDOT’s Level of Traffic Stress dataset, contact Grace Young (grace.young@wsdot.wa.gov).

The complete Weather websites ranking list: Click here for free access to the top Weather websites in the world, ranked by traffic and engagement

AS Rank is CAIDA's ranking of Autonomous Systems (AS) (which approximately map to Internet Service Providers) and organizations (Orgs) (which are a collection of one or more ASes). This ranking is derived from topological data collected by CAIDA's Archipelago Measurement Infrastructure and Border Gateway Protocol (BGP) routing data collected by the Route Views Project and RIPE NCC.
ASes and Orgs are ranked by their customer cone size, which is the number of their direct and indirect customers.
Note: We do not have data to rank ASes (ISPs) by traffic, revenue, users, or any other non-topological metric..