27 datasets found
  1. O

    Alexa Domains

    • opendatalab.com
    • paperswithcode.com
    zip
    Updated Sep 30, 2022
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    Booz Allen Hamilton (2022). Alexa Domains [Dataset]. https://opendatalab.com/OpenDataLab/Alexa_Domains
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    zip(20248769 bytes)Available download formats
    Dataset updated
    Sep 30, 2022
    Dataset provided by
    Booz Allen Hamilton
    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 Jul 9, 2025
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    Statista (2025). 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
    Jul 9, 2025
    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 ***** 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.

  3. 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.

  4. 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

  5. Leading B2B marketplaces based on estimated online traffic 2019

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). 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
    Jul 11, 2025
    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 ***. The Russian Rosfirm and the U.S. platform Vinsuite followed in the ranking with a score of ***** and *****, respectively.

  6. 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

  7. w

    Websites using Alexa Certified Site Metrics

    • webtechsurvey.com
    csv
    Updated Oct 17, 2020
    + more versions
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    WebTechSurvey (2020). Websites using Alexa Certified Site Metrics [Dataset]. https://webtechsurvey.com/technology/alexa-certified-site-metrics
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    csvAvailable download formats
    Dataset updated
    Oct 17, 2020
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Alexa Certified Site Metrics technology, compiled through global website indexing conducted by WebTechSurvey.

  8. 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
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    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).

  9. f

    Descriptive statistics for matrices of Alexa, YouTube, and Twitter...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    Yee Man Margaret Ng; Harsh Taneja (2023). Descriptive statistics for matrices of Alexa, YouTube, and Twitter (September). [Dataset]. http://doi.org/10.1371/journal.pone.0278594.t001
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    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

    Descriptive statistics for matrices of Alexa, YouTube, and Twitter (September).

  10. Traces captured by visiting the top 1500 website

    • kaggle.com
    zip
    Updated Aug 25, 2021
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    DNS_dataset (2021). Traces captured by visiting the top 1500 website [Dataset]. https://www.kaggle.com/jacksontang16/traces-captured-by-visiting-the-top-1500-website
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    zip(5852806 bytes)Available download formats
    Dataset updated
    Aug 25, 2021
    Authors
    DNS_dataset
    Description

    Dataset

    This dataset was created by DNS_dataset

    Contents

  11. Leading websites in Sweden 2021, by session length

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). 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
    Jul 10, 2025
    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 ** minutes and ** seconds. Facebook.com was ranked second with users spending approximately ** minutes and ** seconds per visit to the platform.

  12. Data from: HTTPS traffic classification

    • kaggle.com
    Updated Mar 11, 2024
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    Đinh Ngọc Ân (2024). HTTPS traffic classification [Dataset]. https://www.kaggle.com/datasets/inhngcn/https-traffic-classification/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 11, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Đinh Ngọc Ân
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    The people from Czech are publishing a dataset for the HTTPS traffic classification.

    Since the data were captured mainly in the real backbone network, they omitted IP addresses and ports. The datasets consist of calculated from bidirectional flows exported with flow probe Ipifixprobe. This exporter can export a sequence of packet lengths and times and a sequence of packet bursts and time. For more information, please visit ipfixprobe repository (Ipifixprobe).

    During research, they divided HTTPS into five categories: L -- Live Video Streaming, P -- Video Player, M -- Music Player, U -- File Upload, D -- File Download, W -- Website, and other traffic.

    They have chosen the service representatives known for particular traffic types based on the Alexa Top 1M list and Moz's list of the most popular 500 websites for each category. They also used several popular websites that primarily focus on the audience in Czech. The identified traffic classes and their representatives are provided below:

    Live Video Stream Twitch, Czech TV, YouTube Live Video Player DailyMotion, Stream.cz, Vimeo, YouTube Music Player AppleMusic, Spotify, SoundCloud File Upload/Download FileSender, OwnCloud, OneDrive, Google Drive Website and Other Traffic Websites from Alexa Top 1M list

  13. Alexa-Internet (Company) - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
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    AllHeart Web Inc, Alexa-Internet (Company) - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/company/Alexa-Internet/
    Explore at:
    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jul 10, 2025
    Description

    Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Alexa-Internet.

  14. Dataset used for HTTPS traffic classification using packet burst statistics

    • zenodo.org
    • data.niaid.nih.gov
    csv
    Updated Apr 11, 2022
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    Tropkova Zdena; Hynek Karel; Hynek Karel; Cejka Tomas; Cejka Tomas; Tropkova Zdena (2022). Dataset used for HTTPS traffic classification using packet burst statistics [Dataset]. http://doi.org/10.5281/zenodo.4911551
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 11, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Tropkova Zdena; Hynek Karel; Hynek Karel; Cejka Tomas; Cejka Tomas; Tropkova Zdena
    License

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

    Description

    We are publishing a dataset we created for the HTTPS traffic classification.

    Since the data were captured mainly in the real backbone network, we omitted IP addresses and ports. The datasets consist of calculated from bidirectional flows exported with flow probe Ipifixprobe. This exporter can export a sequence of packet lengths and times and a sequence of packet bursts and time. For more information, please visit ipfixprobe repository (Ipifixprobe).

    During our research, we divided HTTPS into five categories: L -- Live Video Streaming, P -- Video Player, M -- Music Player, U -- File Upload, D -- File Download, W -- Website, and other traffic.

    We have chosen the service representatives known for particular traffic types based on the Alexa Top 1M list and Moz's list of the most popular 500 websites for each category. We also used several popular websites that primarily focus on the audience in our country. The identified traffic classes and their representatives are provided below:

    • Live Video Stream Twitch, Czech TV, YouTube Live
    • Video Player DailyMotion, Stream.cz, Vimeo, YouTube
    • Music Player AppleMusic, Spotify, SoundCloud
    • File Upload/Download FileSender, OwnCloud, OneDrive, Google Drive
    • Website and Other Traffic Websites from Alexa Top 1M list


  15. I

    Global Web Use Similarity

    • databank.illinois.edu
    • aws-databank-alb.library.illinois.edu
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    Yee Man Margaret Ng; Harsh Taneja, Global Web Use Similarity [Dataset]. http://doi.org/10.13012/B2IDB-3150928_V1
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    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

    Description

    These are similarity matrices of countries based on dfferent modalities of web use. Alexa website traffic, trending vidoes on Youtube and Twitter trends. Each matrix is a month of data aggregated

  16. Most visited Shopify stores 2022

    • statista.com
    Updated Dec 5, 2022
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    Statista (2022). Most visited Shopify stores 2022 [Dataset]. https://www.statista.com/statistics/1350323/most-visited-shopify-stores/
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    Dataset updated
    Dec 5, 2022
    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 ***** 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. n

    Data from: Alexa Internet

    • wikimedia.az-az.nina.az
    Updated Jun 15, 2024
    + more versions
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    (2024). Alexa Internet [Dataset]. https://www.wikimedia.az-az.nina.az/Alexa_Internet.html
    Explore at:
    Dataset updated
    Jun 15, 2024
    License

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

    Description

    Alexa Internet San Fransiskoda yerləşən veb trafik təhlili şirkəti Amazonun törəmə şirkəti idi Alexa 1996 cı ildə müstəq

  18. jade-alexa.com - Historical whois Lookup

    • whoisdatacenter.com
    csv
    Updated Sep 20, 2023
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    AllHeart Web Inc (2023). jade-alexa.com - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/jade-alexa.com/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 20, 2023
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jul 21, 2025
    Description

    Explore the historical Whois records related to jade-alexa.com (Domain). Get insights into ownership history and changes over time.

  19. alexa@thewebsitewordsmith.com - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
    Updated Dec 21, 2016
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    AllHeart Web Inc (2016). alexa@thewebsitewordsmith.com - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/email/alexa@thewebsitewordsmith.com/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 21, 2016
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jul 10, 2025
    Description

    Explore historical ownership and registration records by performing a reverse Whois lookup for the email address alexa@thewebsitewordsmith.com..

  20. hostmaster@alexa.com - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, hostmaster@alexa.com - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/email/hostmaster@alexa.com/
    Explore at:
    csvAvailable download formats
    Dataset provided by
    AllHeart Web
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jul 13, 2025
    Description

    Explore historical ownership and registration records by performing a reverse Whois lookup for the email address hostmaster@alexa.com..

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Booz Allen Hamilton (2022). Alexa Domains [Dataset]. https://opendatalab.com/OpenDataLab/Alexa_Domains

Alexa Domains

OpenDataLab/Alexa_Domains

Explore at:
240 scholarly articles cite this dataset (View in Google Scholar)
zip(20248769 bytes)Available download formats
Dataset updated
Sep 30, 2022
Dataset provided by
Booz Allen Hamilton
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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