20 datasets found
  1. P

    Alexa Domains Dataset

    • paperswithcode.com
    • opendatalab.com
    Updated Feb 1, 2001
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    Isaac Corley; Jonathan Lwowski; Justin Hoffman (2001). Alexa Domains Dataset [Dataset]. https://paperswithcode.com/dataset/gagan-bhatia
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    Dataset updated
    Feb 1, 2001
    Authors
    Isaac Corley; Jonathan Lwowski; Justin Hoffman
    Description

    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

  2. Bolivia: Alexa ranking of leading websites 2022, by daily page views

    • statista.com
    Updated Jun 6, 2023
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    Statista (2023). Bolivia: Alexa ranking of leading websites 2022, by daily page views [Dataset]. https://www.statista.com/statistics/1204245/alexa-leading-websites-bolivia-daily-page-views/
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    Dataset updated
    Jun 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Bolivia
    Description

    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 18.49 daily page views and was followed by Unitel.bo, with 11 page views per day that month. Within Latin America, Mexico was the country where Amazon Alexa contained the largest number of skills.

  3. Most visited websites by hierachycal categories

    • kaggle.com
    Updated Sep 18, 2020
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    Natanael de Souza Figueiredo (2020). Most visited websites by hierachycal categories [Dataset]. https://www.kaggle.com/natanael127/most-visited-websites-by-hierachycal-categories/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 18, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Natanael de Souza Figueiredo
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    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.

  4. Leading B2B marketplaces based on estimated online traffic 2019

    • statista.com
    Updated Feb 20, 2024
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    Statista (2024). Leading B2B marketplaces based on estimated online traffic 2019 [Dataset]. https://www.statista.com/statistics/1196848/leading-b2b-marketplaces-by-alexa-traffic-ranking/
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    Dataset updated
    Feb 20, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Worldwide
    Description

    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 177. The Russian Rosfirm and the U.S. platform Vinsuite followed in the ranking with a score of 1,047 and 1.137, respectively.

  5. Top websites by average monthly traffic according to Alexa in Ukraine 2021

    • statista.com
    Updated Mar 6, 2023
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    Statista (2023). Top websites by average monthly traffic according to Alexa in Ukraine 2021 [Dataset]. https://www.statista.com/statistics/1278726/ukraine-most-visited-websites-by-monthly-traffic/
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    Dataset updated
    Mar 6, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2021
    Area covered
    Ukraine
    Description

    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.

  6. e

    alexa.com Traffic Analytics Data

    • analytics.explodingtopics.com
    Updated May 1, 2025
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    (2025). alexa.com Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/alexa.com
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    Dataset updated
    May 1, 2025
    Variables measured
    Global Rank, Monthly Visits, Authority Score, US Country Rank
    Description

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

  7. Traces captured by visiting the top 1500 website

    • kaggle.com
    Updated Aug 25, 2021
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    DNS_dataset (2021). Traces captured by visiting the top 1500 website [Dataset]. https://www.kaggle.com/datasets/jacksontang16/traces-captured-by-visiting-the-top-1500-website
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 25, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    DNS_dataset
    Description

    Dataset

    This dataset was created by DNS_dataset

    Contents

  8. Data from: Analysis of the Quantitative Impact of Social Networks General...

    • figshare.com
    • produccioncientifica.ucm.es
    doc
    Updated Oct 14, 2022
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    David Parra; Santiago Martínez Arias; Sergio Mena Muñoz (2022). Analysis of the Quantitative Impact of Social Networks General Data.doc [Dataset]. http://doi.org/10.6084/m9.figshare.21329421.v1
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    docAvailable download formats
    Dataset updated
    Oct 14, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    David Parra; Santiago Martínez Arias; Sergio Mena Muñoz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union". Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content? To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic. In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed.
    Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained. To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market. It includes:

    Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures

  9. f

    QAP regressions for popular websites (Alexa)/ videos (YouTube)/ topics...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Yee Man Margaret Ng; Harsh Taneja (2023). QAP regressions for popular websites (Alexa)/ videos (YouTube)/ topics (Twitter) similarity across countries (Final block, September). [Dataset]. http://doi.org/10.1371/journal.pone.0278594.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Yee Man Margaret Ng; Harsh Taneja
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    YouTube
    Description

    QAP regressions for popular websites (Alexa)/ videos (YouTube)/ topics (Twitter) similarity across countries (Final block, September).

  10. Audience reach of services sites in Vietnam as of May 2019

    • statista.com
    Updated Aug 26, 2019
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    Statista (2019). Audience reach of services sites in Vietnam as of May 2019 [Dataset]. https://www.statista.com/statistics/1091291/vietnam-audience-reach-of-services-sites/
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    Dataset updated
    Aug 26, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2019
    Area covered
    Vietnam
    Description

    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.

  11. Most visited websites in Morocco 2024, by average monthly visits

    • statista.com
    Updated Apr 23, 2025
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    Statista (2025). Most visited websites in Morocco 2024, by average monthly visits [Dataset]. https://www.statista.com/statistics/1365065/most-visited-websites-in-morocco/
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    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2024
    Area covered
    Morocco
    Description

    As of November 2024, google.com was the most visited website in Morocco, registering an average of 488 million visits per month. The second most visited webpage was youtube.com, with over 180 million monthly visits. Furthermore, the most popular web browser in the country was Chrome.

  12. Audience reach of retail sites in Vietnam as of May 2019

    • statista.com
    Updated Aug 26, 2019
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    Statista (2019). Audience reach of retail sites in Vietnam as of May 2019 [Dataset]. https://www.statista.com/statistics/1091295/vietnam-audience-reach-of-retail-sites/
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    Dataset updated
    Aug 26, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2019
    Area covered
    Vietnam
    Description

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

  13. Leading websites in Sweden 2021, by session length

    • statista.com
    Updated Nov 30, 2022
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    Statista (2022). Leading websites in Sweden 2021, by session length [Dataset]. https://www.statista.com/statistics/1031745/alexa-s-ranking-of-leading-websites-in-sweden-by-daily-page-views/
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    Dataset updated
    Nov 30, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2021
    Area covered
    Sweden
    Description

    In November 2021, Agt.se was the most popular website in Sweden based on user engagement with an average session length of about 21 minutes and 51 seconds. Facebook.com was ranked second with users spending approximately 21 minutes and 20 seconds per visit to the platform.

  14. Audience reach of social media sites in Vietnam as of May 2019

    • statista.com
    Updated Dec 7, 2024
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    Statista (2024). Audience reach of social media sites in Vietnam as of May 2019 [Dataset]. https://www.statista.com/statistics/1091294/vietnam-audience-reach-of-social-media-sites/
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    Dataset updated
    Dec 7, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2019
    Area covered
    Vietnam
    Description

    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.

  15. Audience reach of entertainment sites in Vietnam as of May 2019

    • statista.com
    Updated Dec 23, 2019
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    Statista (2019). Audience reach of entertainment sites in Vietnam as of May 2019 [Dataset]. https://www.statista.com/statistics/1091283/vietnam-audience-reach-of-entertainment-sites/
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    Dataset updated
    Dec 23, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2019
    Area covered
    Vietnam
    Description

    As of May 2019, Kenh14.vn had the highest reach among entertainment web properties. The website covers content relating to entertainment and society and addresses mostly teenagers. It is currently among the top 20 websites in Vietnam in the Alexa ranking.

  16. Most visited Shopify stores 2022

    • statista.com
    Updated Jul 28, 2023
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    Statista (2023). Most visited Shopify stores 2022 [Dataset]. https://www.statista.com/statistics/1350323/most-visited-shopify-stores/
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    Dataset updated
    Jul 28, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The traffic ranking of Shopify stores indicated that colourpop.com was the most visited site, scoring 3,311 on the Alexa traffic rank. As of November 2022, the second-most visited e-commerce site built on Shopify software was jeffreestarcosmetics.com, while the online store of Fashion Nova ranked third.

  17. Leading websites in Norway 2023, by pages per visit

    • statista.com
    Updated Sep 24, 2024
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    Statista (2024). Leading websites in Norway 2023, by pages per visit [Dataset]. https://www.statista.com/statistics/1031624/alexa-s-ranking-of-leading-websites-in-norway-by-daily-page-views/
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    Dataset updated
    Sep 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 1, 2023 - Nov 30, 2023
    Area covered
    Norway
    Description

    From September to November 2023, adult entertainment websites Xvideos.com and Pornhub.com were the websites with the most pages per visit in Norway, with an average of 8.1 and 7.5 pages visited per session. Additionally, visitors to Finn.no accessed approximately 6.5 pages per visit. Social video platform YouTube.com Ranked fourth with 6.2 pages per visit.

  18. Alexa rank of nykaa.com 2021

    • statista.com
    Updated Jan 10, 2024
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    Statista Research Department (2024). Alexa rank of nykaa.com 2021 [Dataset]. https://www.statista.com/topics/8128/nykaa/
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    Dataset updated
    Jan 10, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    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.

  19. Marktanteile der Content-Management-Systeme (CMS) weltweit im Mai 2025

    • de.statista.com
    Updated Jan 8, 2025
    + more versions
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    Statista Research Department (2025). Marktanteile der Content-Management-Systeme (CMS) weltweit im Mai 2025 [Dataset]. https://de.statista.com/themen/12966/shopify/
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    Dataset updated
    Jan 8, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    Bis zum 22. Mai führte WordPress das Ranking der Top 10 Content-Management-Systeme (CMS) weltweit nach Marktanteil mit 61,2 Prozent an. Shopify hatte einen Marktanteil von rund 6,7 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. Was sind Content-Management-Systeme? Content-Management-Systeme (CMS) ermöglichen es Nutzern ohne oder mit wenig Programmier- bzw. HTML-Kenntnissen Internetseiten mit geringem Aufwand zu erstellen und diese mit Inhalten zu füllen. Solche Inhalte können aus Text- und Multimedia-Dokumenten bestehen. Je nach Verwendungszweck und Anwendungsgebiet stehen unterschiedliche CMS zur Verfügung. WordPress WordPress gehört zu den am verbreitetsten, freien Content-Management-Systemen. 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 ermöglichen es WordPress, den weltweit größten Marktanteil unter CMS zu haben. Dies führt wiederum dazu, dass insgesamt rund 70 Millionen Blog-Posts von WordPress-Nutzern im August 2024 veröffentlicht wurden. Dazu lag die Anzahl der Page Views von WordPress-Artikeln zuletzt bei rund 15,3 Milliarden.

  20. Nutzungsanteil der Content-Management-Systeme (CMS) weltweit im Juli 2025

    • de.statista.com
    Updated Jun 5, 2025
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    Statista (2025). Nutzungsanteil der Content-Management-Systeme (CMS) weltweit im Juli 2025 [Dataset]. https://de.statista.com/statistik/daten/studie/320685/umfrage/nutzungsanteil-der-content-management-systeme-cms-weltweit/
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    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Weltweit
    Description

    Im Juli 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 Juni 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 über ***** 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 Januar 2025 bei rund **** Milliarden.

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Isaac Corley; Jonathan Lwowski; Justin Hoffman (2001). Alexa Domains Dataset [Dataset]. https://paperswithcode.com/dataset/gagan-bhatia

Alexa Domains Dataset

Explore at:
232 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 1, 2001
Authors
Isaac Corley; Jonathan Lwowski; Justin Hoffman
Description

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

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