100+ datasets found
  1. Leading websites in the U.S. 2024, based on visit share

    • statista.com
    Updated Aug 20, 2025
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    Statista (2025). Leading websites in the U.S. 2024, based on visit share [Dataset]. https://www.statista.com/statistics/265770/most-popular-us-websites-by-market-share-of-visits/
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    Dataset updated
    Aug 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2024
    Area covered
    United States
    Description

    In March 2024, Google.com was the leading website in the United States. The search platform accounted for over 19 percent of desktop web traffic in the United States, ahead of second-ranked YouTube.com with 10.71 percent.

  2. U.S. most visited websites 2024, by total visits

    • statista.com
    Updated Mar 24, 2025
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    Statista (2025). U.S. most visited websites 2024, by total visits [Dataset]. https://www.statista.com/statistics/1456422/most-visited-websites-total-visits-united-states/
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    Dataset updated
    Mar 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2024
    Area covered
    United States
    Description

    In November 2024, Google.com was the most visited website in the United States, with over 25 billion total visits. YouTube.com came in second with 12 billion total visits. Reddit.com and Amazon.com counted approximately 3.12 billion and 2.89 monthly visits each from U.S. online audiences.

  3. f

    Top 15 websites with highest PageRank.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Peiteng Shi; Xiaohan Huang; Jun Wang; Jiang Zhang; Su Deng; Yahui Wu (2023). Top 15 websites with highest PageRank. [Dataset]. http://doi.org/10.1371/journal.pone.0136243.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Peiteng Shi; Xiaohan Huang; Jun Wang; Jiang Zhang; Su Deng; Yahui Wu
    License

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

    Description

    The numbers in the parentheses are the ranking orders according to the focus indicators.Top 15 websites with highest PageRank.

  4. Alexa Top 1 Million Sites

    • kaggle.com
    zip
    Updated Jan 16, 2018
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    Sid Ghodke (2018). Alexa Top 1 Million Sites [Dataset]. https://www.kaggle.com/cheedcheed/top1m
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    zip(10022889 bytes)Available download formats
    Dataset updated
    Jan 16, 2018
    Authors
    Sid Ghodke
    Description

    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

  5. 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

  6. 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.

  7. Top jewelry and luxury product websites worldwide 2025, by website traffic

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Top jewelry and luxury product websites worldwide 2025, by website traffic [Dataset]. https://www.statista.com/statistics/1537379/top-jewelry-luxury-product-websites-worldwide/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    In February 2025, jomashop.com ranked as the most visited jewelry and luxury goods website worldwide. That month, the premium site garnered over ************* website visitors. Therealreal.com ranked second, with around ************* visitors, followed by saksfifthavenue.com at about ***********.

  8. ngentub.top Website Traffic, Ranking, Analytics [August 2025]

    • semrush.ebundletools.com
    Updated Sep 16, 2025
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    Semrush (2025). ngentub.top Website Traffic, Ranking, Analytics [August 2025] [Dataset]. https://semrush.ebundletools.com/website/ngentub.top/overview/
    Explore at:
    Dataset updated
    Sep 16, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://semrush.ebundletools.com/company/legal/terms-of-service/https://semrush.ebundletools.com/company/legal/terms-of-service/

    Time period covered
    Sep 16, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    ngentub.top is ranked #208354 in ID with 1.23K Traffic. Categories: . Learn more about website traffic, market share, and more!

  9. Leading websites in Denmark 2024, by session length

    • statista.com
    Updated Jul 14, 2025
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    Statista (2025). Leading websites in Denmark 2024, by session length [Dataset]. https://www.statista.com/statistics/1031082/ranking-of-leading-websites-in-denmark-by-time-per-visit/
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    Dataset updated
    Jul 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2024
    Area covered
    Denmark
    Description

    In November 2024, YouTube.com was the most popular website in Denmark based on user engagement, with an average session length of 24 minutes and 48 seconds. Social network website Facebook.com came in second, with users spending approximately 15 minutes and 27 seconds on the platform. Google.com was ranked third with visitors spending an average of 14 minutes and eight seconds per session on the search platform.

  10. d

    Best Website Builders Comparison Data

    • dorik.com
    Updated Jul 30, 2025
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    Mortuza Hossain (2025). Best Website Builders Comparison Data [Dataset]. https://dorik.com/blog/best-website-builders
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    Dataset updated
    Jul 30, 2025
    Authors
    Mortuza Hossain
    License

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

    Variables measured
    AI help, Design control, Ecommerce depth, Speed to launch, Integrated tools, Website Builders, Starting price (annual)
    Description

    Structured comparison data for website builders including speed, design control, tools, ecommerce, AI help, and pricing

  11. World University Rankings

    • timeshighereducation.com
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    Times Higher Education, World University Rankings [Dataset]. https://www.timeshighereducation.com/world-university-rankings/2024/world-ranking
    Explore at:
    Dataset provided by
    Times Higher Educationhttp://www.timeshighereducation.com/
    Time period covered
    2024
    Description

    The Times Higher Education World University Rankings 2024 include 1,907 universities across 108 countries and regions. The table is based on a new methodology, which includes 18 carefully calibrated performance indicators that measure an institution’s performance across five areas: teaching, research environment, research quality, industry, and international outlook.

  12. 1wpvxj.top Website Traffic, Ranking, Analytics [August 2025]

    • semrush.ebundletools.com
    Updated Sep 16, 2025
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    Semrush (2025). 1wpvxj.top Website Traffic, Ranking, Analytics [August 2025] [Dataset]. https://semrush.ebundletools.com/website/1wpvxj.top/overview/
    Explore at:
    Dataset updated
    Sep 16, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://semrush.ebundletools.com/company/legal/terms-of-service/https://semrush.ebundletools.com/company/legal/terms-of-service/

    Time period covered
    Sep 16, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    1wpvxj.top is ranked #876968 in IN with 345 Traffic. Categories: . Learn more about website traffic, market share, and more!

  13. s

    Comparison of Top Traffic Bots 2025

    • sparktraffic.com
    Updated Aug 7, 2025
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    Cecilien Dambon (2025). Comparison of Top Traffic Bots 2025 [Dataset]. https://www.sparktraffic.com/blog/best-traffic-bot-2025
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    Dataset updated
    Aug 7, 2025
    Authors
    Cecilien Dambon
    Description

    A dataset comparing features, pricing, and ratings of the top 4 traffic bots in 2025: SparkTraffic (4.5/5), TrafficBot.co (2.5/5), Traffic-Bot.com (3.0/5), and EpicTrafficBot (3.0/5).

  14. 1max.top Website Traffic, Ranking, Analytics [August 2025]

    • semrush.ebundletools.com
    Updated Sep 16, 2025
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    Semrush (2025). 1max.top Website Traffic, Ranking, Analytics [August 2025] [Dataset]. https://semrush.ebundletools.com/website/1max.top/overview/
    Explore at:
    Dataset updated
    Sep 16, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://semrush.ebundletools.com/company/legal/terms-of-service/https://semrush.ebundletools.com/company/legal/terms-of-service/

    Time period covered
    Sep 16, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    1max.top is ranked #7178 in US with 5.26M Traffic. Categories: . Learn more about website traffic, market share, and more!

  15. 1xlite-58372.top Website Traffic, Ranking, Analytics [August 2025]

    • semrush.ebundletools.com
    Updated Sep 16, 2025
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    Semrush (2025). 1xlite-58372.top Website Traffic, Ranking, Analytics [August 2025] [Dataset]. https://semrush.ebundletools.com/website/1xlite-58372.top/overview/
    Explore at:
    Dataset updated
    Sep 16, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://semrush.ebundletools.com/company/legal/terms-of-service/https://semrush.ebundletools.com/company/legal/terms-of-service/

    Time period covered
    Sep 16, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    1xlite-58372.top is ranked #19397 in SO with 36 Traffic. Categories: . Learn more about website traffic, market share, and more!

  16. World University Rankings

    • timeshighereducation.com
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    Times Higher Education, World University Rankings [Dataset]. https://www.timeshighereducation.com/world-university-rankings/2020/world-ranking
    Explore at:
    Dataset provided by
    Times Higher Educationhttp://www.timeshighereducation.com/
    Time period covered
    2020
    Description

    The Times Higher Education World University Rankings 2020 includes almost 1,400 universities across 92 countries, standing as the largest and most diverse university rankings ever to date. The table is based on 13 carefully calibrated performance indicators that measure an institution’s performance across teaching, research, knowledge transfer and international outlook.

  17. H

    Buy Guest Post on Outlookindia

    • dataverse.harvard.edu
    Updated Jan 26, 2022
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    Harvard Dataverse (2022). Buy Guest Post on Outlookindia [Dataset]. http://doi.org/10.7910/DVN/0OPYWU
    Explore at:
    Dataset updated
    Jan 26, 2022
    Dataset provided by
    Harvard Dataverse
    License

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

    Description

    What is a quality website? We have now a definition by Google of what is a quality site; it is given by a link at bottom. These become even more essential since efforts to filter these sites in search results, depending on their quality. Now it is very easy to rank your content and sites through the high quality sites. There are lots of high quality sites over the internet like Forbes, Outlookindia, NYtimes, Benzinga and Hackernoon etc. You can get Guest Post on Outlookindia and as well other high quality websites from the best guest post service online. Although the quality of a site has always been an issue it took a particular importance in April 2011 with the Panda Update, the change of the Google algorithm to eliminate poor quality pages that even go far in penalizing an entire site if a portion of its content is not well received by users and get no backlinks. A high quality website will grow over time both in terms of loyal readers but also in terms of search engine trust, which is equivalent to more organic visits. Google engineers are trying for years to make their algorithms clever enough to identify and rank websites that are of good quality. It is not an easy task, taking into account that everything has to be decided by a computer program and not a human. Nevertheless with the introduction of ‘Panda’ a few years ago, it seems that they are in the right path. What are the benefits for guest blogging? African Americans are establishing a business’s online at an accelerating rate. This is the perfect opportunity for black business owners to come together and network their services to one another. Even though our customer base embrace all nations, it is important that blacks establish a strong support system for one another. That support system will also provide the following: A great way to drive traffic and readership to your site or blog An outstanding opportunity to build your reputation and influence in your target market An excellent way to build "merit-based" links from relevant sites The Benefits of High Quality Content for SEO In order for your content to be effective and get the required results, people need to be able to find it. Content can simply not be found without good SEO, which includes the use of keywords, internal & external links, alt text and more. So, what exactly are the benefits? Content can be found easily Good rank positions Improved site score Improved website usability Improved user experience Reaching the right target audience This beginner’s guide to SEO content may help you to better understand the topic at hand or here is an info graphic which lists ten steps needed to generate the right kind of content and increase its impact. You can buy guest post on High Quality Websites. High quality content is what attracts users to your website, it gets them talking about and engaging with your brand. Outlookindia guest Post has high quality content. It increases the value of those links and can increase your popularity. Content marketing is an effective strategy for both B2C and B2B businesses, as long as you take the time to undertake research and piece together an effective content plan. User’s expectations have been set high and they expect certain content types to be a part of your marketing strategy. Without quality content or an effective content strategy your business will struggle to grow in the digital world.

  18. Z

    Network Traffic Analysis: Data and Code

    • data.niaid.nih.gov
    • zenodo.org
    Updated Jun 12, 2024
    + more versions
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    Homan, Sophia (2024). Network Traffic Analysis: Data and Code [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_11479410
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    Dataset updated
    Jun 12, 2024
    Dataset provided by
    Soni, Shreena
    Moran, Madeline
    Honig, Joshua
    Ferrell, Nathan
    Homan, Sophia
    Chan-Tin, Eric
    License

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

    Description

    Code:

    Packet_Features_Generator.py & Features.py

    To run this code:

    pkt_features.py [-h] -i TXTFILE [-x X] [-y Y] [-z Z] [-ml] [-s S] -j

    -h, --help show this help message and exit -i TXTFILE input text file -x X Add first X number of total packets as features. -y Y Add first Y number of negative packets as features. -z Z Add first Z number of positive packets as features. -ml Output to text file all websites in the format of websiteNumber1,feature1,feature2,... -s S Generate samples using size s. -j

    Purpose:

    Turns a text file containing lists of incomeing and outgoing network packet sizes into separate website objects with associative features.

    Uses Features.py to calcualte the features.

    startMachineLearning.sh & machineLearning.py

    To run this code:

    bash startMachineLearning.sh

    This code then runs machineLearning.py in a tmux session with the nessisary file paths and flags

    Options (to be edited within this file):

    --evaluate-only to test 5 fold cross validation accuracy

    --test-scaling-normalization to test 6 different combinations of scalers and normalizers

    Note: once the best combination is determined, it should be added to the data_preprocessing function in machineLearning.py for future use

    --grid-search to test the best grid search hyperparameters - note: the possible hyperparameters must be added to train_model under 'if not evaluateOnly:' - once best hyperparameters are determined, add them to train_model under 'if evaluateOnly:'

    Purpose:

    Using the .ml file generated by Packet_Features_Generator.py & Features.py, this program trains a RandomForest Classifier on the provided data and provides results using cross validation. These results include the best scaling and normailzation options for each data set as well as the best grid search hyperparameters based on the provided ranges.

    Data

    Encrypted network traffic was collected on an isolated computer visiting different Wikipedia and New York Times articles, different Google search queres (collected in the form of their autocomplete results and their results page), and different actions taken on a Virtual Reality head set.

    Data for this experiment was stored and analyzed in the form of a txt file for each experiment which contains:

    First number is a classification number to denote what website, query, or vr action is taking place.

    The remaining numbers in each line denote:

    The size of a packet,

    and the direction it is traveling.

    negative numbers denote incoming packets

    positive numbers denote outgoing packets

    Figure 4 Data

    This data uses specific lines from the Virtual Reality.txt file.

    The action 'LongText Search' refers to a user searching for "Saint Basils Cathedral" with text in the Wander app.

    The action 'ShortText Search' refers to a user searching for "Mexico" with text in the Wander app.

    The .xlsx and .csv file are identical

    Each file includes (from right to left):

    The origional packet data,

    each line of data organized from smallest to largest packet size in order to calculate the mean and standard deviation of each packet capture,

    and the final Cumulative Distrubution Function (CDF) caluclation that generated the Figure 4 Graph.

  19. d

    Northland Biodiversity Ranking - Potential Ecosystems

    • catalogue.data.govt.nz
    Updated Jun 2, 2020
    + more versions
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    Northland Regional Council (2020). Northland Biodiversity Ranking - Potential Ecosystems [Dataset]. https://catalogue.data.govt.nz/dataset/northland-biodiversity-ranking-potential-ecosystems1
    Explore at:
    arcgis geoservices rest api, zip, csv, geojson, kml, htmlAvailable download formats
    Dataset updated
    Jun 2, 2020
    Dataset provided by
    Northland Regional Council
    Description
    Datasets resulting from the Northland Potential Ecosystem report by Nick Singers (Singers & Rogers publication) and Ecosystem Prioritisation and Rarity by John Leathwick. Summaries of each dataset below

    Potential Ecosystems:
    The ecosystem classification used to map potential ecosystems of Northland was developed by the Department of Conservation, as a tool for prioritising ecosystem management (Singers & Rogers 2014). This classification is a synthesis that amalgamates previous classifications and ecological studies aligned to an abiotic framework. It describes a full range of ecosystem types at a variety of scales in an approximation of the natural or potential state as they would have been observed if people arrived today in New Zealand. The classification system has two tables that describe ecosystem drivers of the abiotic environment (Singers and Rogers 2014) and biotic compositional description, which further includes ecosystem distribution and relevant source references (Singers and Rogers 2014). The data contained within these two tables have been used as the fundamental basis for mapping ecosystem types, supported by other readily available ecological descriptions, vegetation maps and relevant GIS layers such as soil maps of the Northland Region.

    Ecosystem Rarity:
    This layer consists of the intersection between the primary (see note below) ecosystem cover (as identified in the report ‘Indigenous Biodiversity Ranking for the Northland Region by J. R. Leathwick 2018) and the Northland Potential Ecosystem mapping (as identified in the report ‘A potential ecosystem map for the Northland Region: Explanatory information to accompany the map. Prepared for Northland Regional Council. © Nicholas Singers Ecological Solutions Ltd. NSES Ltd Report 12:2018/2019, June 2018.’

    Northland Biodiversity Ranking - Lake Ranks:
    Rankings of Lakes derived from a ranking analysis of indigenous-dominated terrestrial and freshwater ecosystems for the Northland Region.

    Northland Biodiversity Ranking - River Ranks:
    Rankings of rivers and streams derived from a ranking analysis of indigenous-dominated terrestrial and freshwater ecosystems for the Northland Region.

    Northland Biodiversity Ranking - Terrestrial Top 30 Sites:
    Delineation of the high priority terrestrial sites comprising 30% of the surviving indigenous-dominated ecosystems (or 10.6 % of the Northland Region) as identified in the ranking of terrestrial ecosystem areas derived from a ranking analysis of indigenous-dominated terrestrial ecosystems for the Northland Region.

    Northland Biodiversity Ranking - Terrestrial Top 30 Sites Additional 5:
    Delineation of the top 5 % of additional sites that would potentially make the largest additional gains assuming management is applied to the top 30% of sites as identified in the ranking of terrestrial ecosystem areas derived from a ranking analysis of indigenous-dominated terrestrial ecosystems for the Northland Region.
  20. good-mebel.com Website Traffic, Ranking, Analytics [August 2025]

    • semrush.ebundletools.com
    Updated Sep 16, 2025
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    Semrush (2025). good-mebel.com Website Traffic, Ranking, Analytics [August 2025] [Dataset]. https://semrush.ebundletools.com/website/good-mebel.com/overview/
    Explore at:
    Dataset updated
    Sep 16, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://semrush.ebundletools.com/company/legal/terms-of-service/https://semrush.ebundletools.com/company/legal/terms-of-service/

    Time period covered
    Sep 16, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    good-mebel.com is ranked #7142 in RU with 210.66K Traffic. Categories: . Learn more about website traffic, market share, and more!

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Statista (2025). Leading websites in the U.S. 2024, based on visit share [Dataset]. https://www.statista.com/statistics/265770/most-popular-us-websites-by-market-share-of-visits/
Organization logo

Leading websites in the U.S. 2024, based on visit share

Explore at:
Dataset updated
Aug 20, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 2024
Area covered
United States
Description

In March 2024, Google.com was the leading website in the United States. The search platform accounted for over 19 percent of desktop web traffic in the United States, ahead of second-ranked YouTube.com with 10.71 percent.

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