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.

alexa.com is ranked #317632 in US with 31.23K Traffic. Categories: Advertising and Marketing, Computer Software and Development, Information Technology, Online Services. Learn more about website traffic, market share, and more!

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.

alexa.amazon.com is ranked #4 in US with 680.95K Traffic. Categories: . Learn more about website traffic, market share, and more!

Traffic analytics, rankings, and competitive metrics for alexa.com as of September 2025

Context

Alexa Internet rank websites primarily on tracking a sample set of Internet traffic—users of its toolbar for the Internet Explorer, Firefox and Google Chrome web browsers. The Alexa Toolbar includes a popup blocker (which stops unwanted ads), a search box, links to Amazon.com and the Alexa homepage, and the Alexa ranking of the website that the user is visiting. It also allows the user to rate the website and view links to external, relevant websites. Also, Alexa has prepared a list of information for each site for comparison and ranking with other similar sites for each site.

This dataset is a record of all information on the top websites in each category in Alexa ranking. Source: https://github.com/AshkanGoharfar/Crawler_for_alexa.com

Content

This dataset includes several site data, which were achieved from "alexa.com/siteinfo" (for example alexa.com/siteinfo/facebook.com). Data is included for the top 50 websites for every 550 categories in Alexa ranking. (The dataset was obtained for about 22000 sites.) The data also includes keyword opportunities breakdown fields, which vary between categories. As well as each site has important parameters like all_topics_top_keywords_search_traffic_parameter which represent search traffics in competitor websites to this site. For more details about each site's data, you can find the site's name and site's information in the dataset and you can search alexa.com/siteinfo/SiteName link to understand each parameter and columns in the dataset.

Acknowledgements

This dataset was collected using the selenium library and chrome web driver to crawl alexa.com data with python language.

Provider: Ashkan Goharfar, ashkan_goharfar@aut.ac.ir, Department of Computer Engineering and Information Technology, Amirkabir University of Technology

Citation Request

A. Risheh, A. Goharfar, and N. T. Javan, "Clustering Alexa Internet Data using Auto Encoder Network and Affinity Propagation," 2020 10th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, Iran, 2020, pp. 437-443, doi: 10.1109/ICCKE50421.2020.9303705.

Inspiration

Possible uses for this dataset could include:

Sentiment analysis in a variety of forms. Categorizing websites based on their competitor websites, daily time on the website and Keyword opportunities.

Analyzing what factors affect on Comparison metrics search traffic, Comparison metrics data, Audience overlap sites overlap scores, top keywords share of voice, top keywords search traffic, optimization opportunities organic share of voice, Optimization opportunities search popularity, Buyer keywords organic competition, Buyer keywords Avg traffic, Easy to rank keywords search pop, Easy to rank keywords relevance to site, Keyword gaps search popularity, Keyword gaps Avg traffic and Keywords search traffic.

Training ML algorithms like RNNs to generate a probability for each site in each category to being SEO by Google.

Use NLP for columns like keyword gaps name, Easy to rank keywords name, Buyer keywords name, optimization opportunities name, Top keywords name and Audience overlap similar sites to this site.

Google.com, youtube.com, and facebook.com were the most visited websites in Ukraine in December 2021. Furthermore, Google's website on the Ukrainian domain, google.com.ua, ranked in the top 10 during that time.

This statistic shows the ten most popular web shops in Sweden in 2017, by Alexa global traffic rank. In first place was zalando.se, ranked ***** by Alexa, followed by adlibris.com, which was ranked ******. Komplett.se came in third place at ******.

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

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 2021, Agt.se was the most popular website in Sweden based on user engagement with an average session length of about ** minutes and ** seconds. Facebook.com was ranked second with users spending approximately ** minutes and ** seconds per visit to the platform.

In November 2024, the online marketplace Finn.no was the website with the most pages per visit in Norway, with an average of 16.91 pages visited per session. Additionally, visitors to Meta's social platforms Facebook.com and Instagram.com accessed approximately 9.81 and 9.21 pages per visit, respectively. Google.no ranked fourth with 8.5 pages per visit.

Dataset

This dataset was created by DNS_dataset

Contents

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.

As of May 2019, Google had the highest reach among services web properties. The website is currently among the top 10 websites in Vietnam in the Alexa ranking.

The Alexa rank of nykaa.com moved from 4.8 thousand to more than seven thousand between January and March 2021. This indicated a decrease in the popularity of the website. In comparison, purplle.com, one of Nykaa's competitors, ranked at around 25 thousand, while Myntra ranked at about one thousand.

This dataset has been collected from Alexa website ranking a blacklist of previous DGA domain names both sources are avaiblable within the provenance section.

The purpose is to build a classifier which can help us detect a potential machine infected by the DGA (Domain Generation Algorithm) malware.

Typically machines that are infected tend to generate a bunch of random domain names which will contain one active C&C server.

https://sm.pcmag.com/pcmag_uk/opinion/d/domain-fluxing-helps-data-breaches-stay-hidden/domain-fluxing-helps-data-breaches-stay-hidden_3wnv.jpg" alt="DGA architecture">

The image above depicts the overall approach of how DGA works. Thus our goal is to build a binomial classifier which can differentiate random domain names from legitimate ones.

As of May 2019, Facebook had the highest reach among social media web properties. The website is currently among the top 10 websites in Vietnam in the Alexa ranking.

Im Oktober 2025 nutzten **** Prozent aller untersuchten Webseiten WordPress als Content-Management-System. Mit großem Abstand folgten Shopify auf dem zweiten Platz mit einem Nutzungsanteil von *** Prozent und Wix mit rund ****Prozent auf Platz drei. Content-Management-Systeme nach Marktanteil Im Oktober 2025 führte WordPress das Ranking der Top 10 Content-Management-Systeme (CMS) weltweit mit einem Marktanteil von über ** Prozent an. Shopify hatte einen Marktanteil von rund *******Prozent und lag damit auf dem zweiten Rang der verbreitetsten Content-Management-Systeme. Es wurden die Top-10-Millionen Websites (Alexa-Ranking) in die Erhebung einbezogen, Subdomains wurden bei der Zählung nicht berücksichtigt. WordPress WordPress ist ein weitverbreitetes, freies Content-Management-System. Es wurde ursprünglich als Blog-Publishing-System entwickelt, hat sich jedoch weiterentwickelt, um auch andere Arten von Web-Inhalten zu unterstützen, darunter traditionellere Mailinglisten und Foren, Mediengalerien, Mitglieder-Websites, Learning-Management-Systeme (LMS) und Online-Shops. Diverse Anwendungsgebiete haben es WordPress ermöglicht, den weltweit größten Marktanteil unter den CMS zu haben. Dies führt wiederum dazu, dass insgesamt rund ** Millionen Blog-Posts von WordPress-Nutzern im August 2024 veröffentlicht wurden. Dazu lag die Anzahl der Page Views von WordPress-Artikeln im Juli 2025 bei rund **** Milliarden.