28 datasets found
  1. 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.

  2. 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.

  3. O

    Alexa Domains

    • opendatalab.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

  4. w

    alexa-ranking.com - Historical whois Lookup

    • whoisdatacenter.com
    csv
    + more versions
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    AllHeart Web Inc, alexa-ranking.com - Historical whois Lookup [Dataset]. https://whoisdatacenter.com/domain/alexa-ranking.com/
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    csvAvailable download formats
    Dataset authored and provided by
    AllHeart Web Inc
    License

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

    Time period covered
    Mar 15, 1985 - Jun 4, 2025
    Description

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

  5. 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

  6. 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

  7. 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).

  8. 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.

  9. Amazon alexa reviews csv file

    • kaggle.com
    Updated Apr 18, 2021
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    VIDIT SANGHVI (2021). Amazon alexa reviews csv file [Dataset]. https://www.kaggle.com/viditsanghvi/amazon-alexa-reviews-csv-file/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 18, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    VIDIT SANGHVI
    Description

    Context

    This dataset is generated to csv format from tsv format.

  10. Amazon Alexa Reviews

    • kaggle.com
    zip
    Updated Jul 26, 2020
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    Adarsh Jha (2020). Amazon Alexa Reviews [Dataset]. https://www.kaggle.com/adarshkumarjha/amazon-alexa-reviews
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    zip(167607 bytes)Available download formats
    Dataset updated
    Jul 26, 2020
    Authors
    Adarsh Jha
    Description

    Dataset

    This dataset was created by Adarsh Jha

    Contents

    It contains the following files:

  11. amazon_alexa

    • kaggle.com
    zip
    Updated Feb 11, 2021
    + more versions
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    Swapnil Mishra (2021). amazon_alexa [Dataset]. https://www.kaggle.com/mishraswapnil/amazon-alexa
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    zip(167607 bytes)Available download formats
    Dataset updated
    Feb 11, 2021
    Authors
    Swapnil Mishra
    Description

    Dataset

    This dataset was created by Swapnil Mishra

    Contents

  12. Most visited Shopify stores 2022

    • statista.com
    Updated Dec 5, 2022
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    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.

  13. Web tracking data for 500 websites popular among Finnish web users

    • zenodo.org
    Updated Apr 18, 2020
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    John Bailey; Mikael Laakso; Mikael Laakso; Linus Nyman; Linus Nyman; John Bailey (2020). Web tracking data for 500 websites popular among Finnish web users [Dataset]. http://doi.org/10.5281/zenodo.3543444
    Explore at:
    Dataset updated
    Apr 18, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    John Bailey; Mikael Laakso; Mikael Laakso; Linus Nyman; Linus Nyman; John Bailey
    License

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

    Description

    This dataset includes observations of trackers present on the top 500 pages popular among Finnish web users as per Alexa. The data collection was conducted using TrackerTracker in five separate requests for five subsets of 100 sites each between 19.8.2017 and 20.8.2017. The tool used a tracker database from March 24, 2017. More methodology details are described in the associated journal article https://doi.org/10.23978/inf.87841

  14. Manual naivebayes prediction amazon alexa reviews

    • kaggle.com
    Updated Apr 18, 2021
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    VIDIT SANGHVI (2021). Manual naivebayes prediction amazon alexa reviews [Dataset]. https://www.kaggle.com/viditsanghvi/manual-naivebayes-prediction-amazon-alexa-reviews/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 18, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    VIDIT SANGHVI
    Description

    This is the production of the Naive bayes classification algorithm which is applied manually and it is produced in the notebook 'Naivebayes on Amazon alexa review dataset'.

  15. 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
    Explore at:
    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

  16. D

    Most popular websites in the Netherlands 2015

    • ssh.datastations.nl
    csv, tsv, zip
    Updated May 9, 2017
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    M. Kleppe; H. Bijleveld; M. Kleppe; H. Bijleveld (2017). Most popular websites in the Netherlands 2015 [Dataset]. http://doi.org/10.17026/DANS-X6H-6QQT
    Explore at:
    zip(15855), csv(138294), tsv(176359)Available download formats
    Dataset updated
    May 9, 2017
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    Authors
    M. Kleppe; H. Bijleveld; M. Kleppe; H. Bijleveld
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Netherlands
    Dataset funded by
    NWO
    Description

    This dataset contains a list of 3654 Dutch websites that we considered the most popular websites in 2015. This list served as whitelist for the Newstracker Research project in which we monitored the online web behaviour of a group of respondents.The research project 'The Newstracker' was a subproject of the NWO-funded project 'The New News Consumer: A User-Based Innovation Project to Meet Paradigmatic Change in News Use and Media Habits'.For the Newstracker project we aimed to understand the web behaviour of a group of respondents. We created custom-built software to monitor their web browsing behaviour on their laptops and desktops (please find the code in open access at https://github.com/NITechLabs/NewsTracker). For reasons of scale and privacy we created a whitelist with websites that were the most popular websites in 2015. We manually compiled this list by using data of DDMM, Alexa and own research. The dataset consists of 5 columns:- the URL- the type of website: We created a list of types of websites and each website has been manually labeled with 1 category- Nieuws-regio: When the category was 'News', we subdivided these websites in the regional focus: International, National or Local- Nieuws-onderwerp: Furthermore, each website under the category News was further subdivided in type of news website. For this we created an own list of news categories and manually coded each website- Bron: For each website we noted which source we used to find this website.The full description of the research design of the Newstracker including the set-up of this whitelist is included in the following article: Kleppe, M., Otte, M. (in print), 'Analysing & understanding news consumption patterns by tracking online user behaviour with a multimodal research design', Digital Scholarship in the Humanities, doi 10.1093/llc/fqx030.

  17. Amazon Echo reviews

    • kaggle.com
    Updated Jun 22, 2020
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    Rushit Bhadaniya (2020). Amazon Echo reviews [Dataset]. https://www.kaggle.com/rushitbhadaniya/amazon-echo-reviews/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 22, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Rushit Bhadaniya
    Description

    Dataset

    This dataset was created by Rushit Bhadaniya

    Contents

  18. n

    Trusted Reviews

    • wikipedia.tr-tr.nina.az
    Updated Jul 12, 2024
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    (2024). Trusted Reviews [Dataset]. https://www.wikipedia.tr-tr.nina.az/Trusted_Reviews.html
    Explore at:
    Dataset updated
    Jul 12, 2024
    License

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

    Description

    Trusted Reviews teknoloji odaklı internet sitesidir Londra merkezli nın sahibi olduğu site Alexa verilerine göre Birleşi

  19. 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.

  20. 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/
    Explore at:
    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.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
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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/
Organization logo

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

Explore at:
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.

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