100+ datasets found
  1. Website Statistics

    • data.wu.ac.at
    • data.europa.eu
    csv, pdf
    Updated Jun 11, 2018
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    Lincolnshire County Council (2018). Website Statistics [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/M2ZkZDBjOTUtMzNhYi00YWRjLWI1OWMtZmUzMzA5NjM0ZTdk
    Explore at:
    csv, pdfAvailable download formats
    Dataset updated
    Jun 11, 2018
    Dataset provided by
    Lincolnshire County Councilhttp://www.lincolnshire.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    This Website Statistics dataset has four resources showing usage of the Lincolnshire Open Data website. Web analytics terms used in each resource are defined in their accompanying Metadata file.

    • Website Usage Statistics: This document shows a statistical summary of usage of the Lincolnshire Open Data site for the latest calendar year.

    • Website Statistics Summary: This dataset shows a website statistics summary for the Lincolnshire Open Data site for the latest calendar year.

    • Webpage Statistics: This dataset shows statistics for individual Webpages on the Lincolnshire Open Data site by calendar year.

    • Dataset Statistics: This dataset shows cumulative totals for Datasets on the Lincolnshire Open Data site that have also been published on the national Open Data site Data.Gov.UK - see the Source link.

      Note: Website and Webpage statistics (the first three resources above) show only UK users, and exclude API calls (automated requests for datasets). The Dataset Statistics are confined to users with javascript enabled, which excludes web crawlers and API calls.

    These Website Statistics resources are updated annually in January by the Lincolnshire County Council Business Intelligence team. For any enquiries about the information contact opendata@lincolnshire.gov.uk.

  2. U.S. fastest-growing personal finance web pages 2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). U.S. fastest-growing personal finance web pages 2023 [Dataset]. https://www.statista.com/statistics/1471233/fastest-growing-personal-finance-pages-online-traffic-usa/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, bmo.com.com was the fastest-growing personal finance web page based on increased online traffic in the United States. The URL saw traffic growth of over *** percent in the country during the measured period.

  3. i

    Website Fingerprinting Dataset of Browsing Network Traffic for Desktop and...

    • ieee-dataport.org
    Updated Oct 21, 2024
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    Mohamad Amar Irsyad Mohd Aminuddin (2024). Website Fingerprinting Dataset of Browsing Network Traffic for Desktop and Mobile Webpages [Dataset]. https://ieee-dataport.org/documents/website-fingerprinting-dataset-browsing-network-traffic-desktop-and-mobile-webpages
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    Dataset updated
    Oct 21, 2024
    Authors
    Mohamad Amar Irsyad Mohd Aminuddin
    License

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

    Description

    This is a dataset of Tor cell file extracted from browsing simulation using Tor Browser. The simulations cover both desktop and mobile webpages. The data collection process was using WFP-Collector tool (https://github.com/irsyadpage/WFP-Collector). All the neccessary configuration to perform the simulation as detailed in the tool repository.The webpage URL is selected by using the first 100 website based on: https://dataforseo.com/free-seo-stats/top-1000-websites.Each webpage URL is visited 90 times for each deskop and mobile browsing mode.

  4. g

    Website Statistics (Archived) | gimi9.com

    • gimi9.com
    Updated Feb 6, 2018
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    (2018). Website Statistics (Archived) | gimi9.com [Dataset]. https://gimi9.com/dataset/uk_website-statistics/
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    Dataset updated
    Feb 6, 2018
    Description

    ** Note: This dataset has been archived and is no longer being updated due to a change in analytics platform. You can find the new dataset relating to Website Statistics in the following link; https://lincolnshire.ckan.io/dataset/website-statistics ** This Website Statistics dataset has three resources showing usage of the Lincolnshire Open Data website. Web analytics terms used in each resource are defined in their accompanying Metadata file. - Website Usage Statistics: This document shows a statistical summary of usage of the Lincolnshire Open Data site for the latest calendar year. - Website Statistics Summary: This dataset shows a website statistics summary for the Lincolnshire Open Data site for the latest calendar year. - Webpage Statistics: This dataset shows statistics for individual Webpages on the Lincolnshire Open Data site by calendar year. Note: The resources above show only UK users, and exclude API calls (automated requests for datasets). For further information, please contact the Lincolnshire County Council Open Data team.

  5. Comparison of traffic sources to Slack and Salesforce webpages 2019

    • statista.com
    Updated Feb 21, 2022
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    Statista (2022). Comparison of traffic sources to Slack and Salesforce webpages 2019 [Dataset]. https://www.statista.com/statistics/1025255/worldwide-slack-salesforce-traffic-source-to-webpage/
    Explore at:
    Dataset updated
    Feb 21, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2019
    Area covered
    Worldwide
    Description

    This statistic shows a comparison of webpage traffic sources of Slack and Salesforce in April 2019. According to data collected by GP Bullhound, ninety-six percent of Slack's webpage traffic during the measured period was direct, compared to Salesforce's more mixed traffic strategy.

  6. g

    Website Statistics | gimi9.com

    • gimi9.com
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    Website Statistics | gimi9.com [Dataset]. https://gimi9.com/dataset/uk_website-statistics1/
    Explore at:
    Description

    This Website Statistics dataset has three resources showing usage of the Lincolnshire Open Data website. Web analytics terms used in each resource are defined in their accompanying Metadata file. Please Note: due to a change in Analytics platform and accompanying metrics, the current files do not contain a full years data. The files will be updated again in January 2025 with 2024-2025 data. The previous dataset containing Web Analytics has been archived and can be found in the following link; https://lincolnshire.ckan.io/dataset/website-statistics-archived - Website Usage Statistics: This document shows a statistical summary of usage of the Lincolnshire Open Data site for the latest calendar year. - Website Statistics Summary: This dataset shows a website statistics summary for the Lincolnshire Open Data site for the latest calendar year. - Webpage Statistics: This dataset shows statistics for individual Webpages on the Lincolnshire Open Data site by calendar year. Note: The resources above exclude API calls (automated requests for datasets). These Website Statistics resources are updated annually in February by the Lincolnshire County Council Open Data team.

  7. Data addendum for "Widespread Third-Party Tracking On Hospital Websites"

    • figshare.com
    txt
    Updated May 31, 2023
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    Ari B Friedman (2023). Data addendum for "Widespread Third-Party Tracking On Hospital Websites" [Dataset]. http://doi.org/10.6084/m9.figshare.23269703.v1
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Ari B Friedman
    License

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

    Description

    For each hospital web page, we only recorded data requests that initiated data transfers to third-party domains. We then used the webXray database to determine the corporation associated with the third-party domain and the majority owner of the corporation (i.e., the “parent company”) at the time the study occurred (August 2021). For example, the corporation associated with the third-party domain doubleclick.net was determined to be Google, which is majority owned by Alphabet.

    Our research does not indicate that the corporations or parent companies listed in our report received data from hospital website browsing; rather, the parent companies listed owned a corporation affiliated with the third-party domains initiating these data requests. We observed only data transfers from the browser to the domain; we did not observe the subsequent use of the data. We do not claim that any third-party domain listed was requesting or receiving this data in a manner that violated applicable laws or regulations governing consumer data privacy.

    Below is a table that lists each parent company and the listed domains associated with a corporation owned by such parent company.

  8. Number of page views per web session 2022, by vertical & device

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Number of page views per web session 2022, by vertical & device [Dataset]. https://www.statista.com/statistics/1106552/number-of-visits-website-before-checkout/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Websites in the energy, utilities, and construction sector averaged the largest amount of visits per online session worldwide. In the fourth quarter of 2022, desktop users in that segment visited around seven pages per online session. Travel and hospitality ranked second, with an average of almost six pages visited. In terms of mobile users, travel and hospitality registered the highest number of page views, followed by retail.

  9. C

    Visited web pages of the City (per URL) in 2015

    • processor1.francecentral.cloudapp.azure.com
    Updated Feb 5, 2016
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    City of Brussels/Cell Web (2016). Visited web pages of the City (per URL) in 2015 [Dataset]. http://processor1.francecentral.cloudapp.azure.com/dataset/visited-webpages-of-the-city-by-url-in-2015
    Explore at:
    https://www.iana.org/assignments/media-types/text/csv, https://www.iana.org/assignments/media-types/application/jsonAvailable download formats
    Dataset updated
    Feb 5, 2016
    Dataset provided by
    City of Brussels/Cell Web
    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Description

    Visitor statistics of the pages of the website of the City of Brussels (2014) with the address of the page (following www.brussels.be), the number of pages viewed, the number of unique visits. Source: Google Analytics.

  10. w

    Visited web pages of the City (by title) in 2015

    • data.wu.ac.at
    • processor1.francecentral.cloudapp.azure.com
    • +1more
    csv, json, xls
    Updated Mar 14, 2016
    + more versions
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    City of Brussels/Web Unit (2016). Visited web pages of the City (by title) in 2015 [Dataset]. https://data.wu.ac.at/schema/opendata_brussels_be/dmlzaXRlZC13ZWItcGFnZXMtb2YtdGhlLWNpdHktYnktdXJsLWluLTIwMTQ=
    Explore at:
    json, csv, xlsAvailable download formats
    Dataset updated
    Mar 14, 2016
    Dataset provided by
    City of Brussels/Web Unit
    Description

    Visitor statistics of the pages of the website of the City of Brussels (2015) by title, the number of pages viewed, the number of unique visits. Source: Google Analytics.

  11. Common languages used for web content 2025, by share of websites

    • statista.com
    • ai-chatbox.pro
    Updated Feb 11, 2025
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    Statista (2025). Common languages used for web content 2025, by share of websites [Dataset]. https://www.statista.com/statistics/262946/most-common-languages-on-the-internet/
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    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    As of February 2025, English was the most popular language for web content, with over 49.4 percent of websites using it. Spanish ranked second, with six percent of web content, while the content in the German language followed, with 5.6 percent. English as the leading online language United States and India, the countries with the most internet users after China, are also the world's biggest English-speaking markets. The internet user base in both countries combined, as of January 2023, was over a billion individuals. This has led to most of the online information being created in English. Consequently, even those who are not native speakers may use it for convenience. Global internet usage by regions As of October 2024, the number of internet users worldwide was 5.52 billion. In the same period, Northern Europe and North America were leading in terms of internet penetration rates worldwide, with around 97 percent of its populations accessing the internet.

  12. e

    Web statistics - Pages

    • data.europa.eu
    unknown
    + more versions
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    Web statistics - Pages [Dataset]. https://data.europa.eu/data/datasets/https-datosabiertos-jcyl-es-web-jcyl-set-es-sector-publico-estadisticas-web-paginas-1284968764173?locale=en
    Explore at:
    unknownAvailable download formats
    License

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

    Description

    Information on the most visited pages of each website always limiting to all those that have more than 100 pages viewed per day. Daily update.

  13. C

    City website pages (by URL) visited in 2014

    • processor1.francecentral.cloudapp.azure.com
    Updated Mar 4, 2015
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    City of Brussels/Web Cell (2015). City website pages (by URL) visited in 2014 [Dataset]. http://processor1.francecentral.cloudapp.azure.com/dataset/pages-of-the-website-by-url-of-the-city-visited-in-2014
    Explore at:
    https://www.iana.org/assignments/media-types/application/json, https://www.iana.org/assignments/media-types/text/csvAvailable download formats
    Dataset updated
    Mar 4, 2015
    Dataset provided by
    City of Brussels/Web Cell
    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Description

    Statistics of visits to the pages of the website of the City of Brussels (in 2014) with the address of the page (according to www.bruxelles.be, the number of pages viewed, the number of unique consultations, the average time spent on the page.Source: Google Analytics.Each page of the City of Brussels website is identified by 4 digits appearing in its address.A search on these 4 digits provides statistics relating to the page in question.

  14. d

    Web Traffic Data | 500M+ US Web Traffic Data Resolution | B2B and B2C...

    • datarade.ai
    .csv, .xls
    Updated Feb 24, 2025
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    Allforce (2025). Web Traffic Data | 500M+ US Web Traffic Data Resolution | B2B and B2C Website Visitor Identity Resolution [Dataset]. https://datarade.ai/data-products/traffic-continuum-from-solution-publishing-500m-us-web-traf-solution-publishing
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Feb 24, 2025
    Dataset authored and provided by
    Allforce
    Area covered
    United States of America
    Description

    Unlock the Potential of Your Web Traffic with Advanced Data Resolution

    In the digital age, understanding and leveraging web traffic data is crucial for businesses aiming to thrive online. Our pioneering solution transforms anonymous website visits into valuable B2B and B2C contact data, offering unprecedented insights into your digital audience. By integrating our unique tag into your website, you unlock the capability to convert 25-50% of your anonymous traffic into actionable contact rows, directly deposited into an S3 bucket for your convenience. This process, known as "Web Traffic Data Resolution," is at the forefront of digital marketing and sales strategies, providing a competitive edge in understanding and engaging with your online visitors.

    Comprehensive Web Traffic Data Resolution Our product stands out by offering a robust solution for "Web Traffic Data Resolution," a process that demystifies the identities behind your website traffic. By deploying a simple tag on your site, our technology goes to work, analyzing visitor behavior and leveraging proprietary data matching techniques to reveal the individuals and businesses behind the clicks. This innovative approach not only enhances your data collection but does so with respect for privacy and compliance standards, ensuring that your business gains insights ethically and responsibly.

    Deep Dive into Web Traffic Data At the core of our solution is the sophisticated analysis of "Web Traffic Data." Our system meticulously collects and processes every interaction on your site, from page views to time spent on each section. This data, once anonymous and perhaps seen as abstract numbers, is transformed into a detailed ledger of potential leads and customer insights. By understanding who visits your site, their interests, and their contact information, your business is equipped to tailor marketing efforts, personalize customer experiences, and streamline sales processes like never before.

    Benefits of Our Web Traffic Data Resolution Service Enhanced Lead Generation: By converting anonymous visitors into identifiable contact data, our service significantly expands your pool of potential leads. This direct enhancement of your lead generation efforts can dramatically increase conversion rates and ROI on marketing campaigns.

    Targeted Marketing Campaigns: Armed with detailed B2B and B2C contact data, your marketing team can create highly targeted and personalized campaigns. This precision in marketing not only improves engagement rates but also ensures that your messaging resonates with the intended audience.

    Improved Customer Insights: Gaining a deeper understanding of your web traffic enables your business to refine customer personas and tailor offerings to meet market demands. These insights are invaluable for product development, customer service improvement, and strategic planning.

    Competitive Advantage: In a digital landscape where understanding your audience can make or break your business, our Web Traffic Data Resolution service provides a significant competitive edge. By accessing detailed contact data that others in your industry may overlook, you position your business as a leader in customer engagement and data-driven strategies.

    Seamless Integration and Accessibility: Our solution is designed for ease of use, requiring only the placement of a tag on your website to start gathering data. The contact rows generated are easily accessible in an S3 bucket, ensuring that you can integrate this data with your existing CRM systems and marketing tools without hassle.

    How It Works: A Closer Look at the Process Our Web Traffic Data Resolution process is streamlined and user-friendly, designed to integrate seamlessly with your existing website infrastructure:

    Tag Deployment: Implement our unique tag on your website with simple instructions. This tag is lightweight and does not impact your site's loading speed or user experience.

    Data Collection and Analysis: As visitors navigate your site, our system collects web traffic data in real-time, analyzing behavior patterns, engagement metrics, and more.

    Resolution and Transformation: Using advanced data matching algorithms, we resolve the collected web traffic data into identifiable B2B and B2C contact information.

    Data Delivery: The resolved contact data is then securely transferred to an S3 bucket, where it is organized and ready for your access. This process occurs daily, ensuring you have the most up-to-date information at your fingertips.

    Integration and Action: With the resolved data now in your possession, your business can take immediate action. From refining marketing strategies to enhancing customer experiences, the possibilities are endless.

    Security and Privacy: Our Commitment Understanding the sensitivity of web traffic data and contact information, our solution is built with security and privacy at its core. We adhere to strict data protection regulat...

  15. Z

    Data from: Structural Profiling of Web Sites in the Wild

    • data.niaid.nih.gov
    Updated Jun 10, 2020
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    Chamberland-Thibeault, Xavier (2020). Structural Profiling of Web Sites in the Wild [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3718597
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    Dataset updated
    Jun 10, 2020
    Dataset provided by
    Hallé, Sylvain
    Chamberland-Thibeault, Xavier
    License

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

    Description

    The dataset contains and processes results of a large-scale survey of 708 websites, made in December 2019, in order to measure various features related to their size and structure: DOM tree size, maximum degree, depth, diversity of element types and CSS classes, among others. The goal of this research is to serve as a reference point for studies that include an empirical evaluation on samples of web pages.

    See the Readme.md file inside the archive for more details about its contents.

  16. P

    CoVA Dataset

    • paperswithcode.com
    Updated Oct 23, 2021
    + more versions
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    Anurendra Kumar; Keval Morabia; Jingjin Wang; Kevin Chen-Chuan Chang; Alexander Schwing (2021). CoVA Dataset [Dataset]. https://paperswithcode.com/dataset/cova
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    Dataset updated
    Oct 23, 2021
    Authors
    Anurendra Kumar; Keval Morabia; Jingjin Wang; Kevin Chen-Chuan Chang; Alexander Schwing
    Description

    We labeled 7,740 webpage screenshots spanning 408 domains (Amazon, Walmart, Target, etc.). Each of these webpages contains exactly one labeled price, title, and image. All other web elements are labeled as background. On average, there are 90 web elements in a webpage.

    Webpage screenshots and bounding boxes can be obtained here

    Train-Val-Test split We create a cross-domain split which ensures that each of the train, val and test sets contains webpages from different domains. Specifically, we construct a 3 : 1 : 1 split based on the number of distinct domains. We observed that the top-5 domains (based on number of samples) were Amazon, EBay, Walmart, Etsy, and Target. So, we created 5 different splits for 5-Fold Cross Validation such that each of the major domains is present in one of the 5 splits for test data.

  17. A web tracking data set of online browsing behavior of 2,148 users

    • zenodo.org
    • data.niaid.nih.gov
    application/gzip, txt +1
    Updated May 14, 2021
    + more versions
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    Juhi Kulshrestha; Juhi Kulshrestha; Marcos Oliveira; Marcos Oliveira; Orkut Karacalik; Denis Bonnay; Claudia Wagner; Orkut Karacalik; Denis Bonnay; Claudia Wagner (2021). A web tracking data set of online browsing behavior of 2,148 users [Dataset]. http://doi.org/10.5281/zenodo.4757574
    Explore at:
    zip, txt, application/gzipAvailable download formats
    Dataset updated
    May 14, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Juhi Kulshrestha; Juhi Kulshrestha; Marcos Oliveira; Marcos Oliveira; Orkut Karacalik; Denis Bonnay; Claudia Wagner; Orkut Karacalik; Denis Bonnay; Claudia Wagner
    License

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

    Description

    This anonymized data set consists of one month's (October 2018) web tracking data of 2,148 German users. For each user, the data contains the anonymized URL of the webpage the user visited, the domain of the webpage, category of the domain, which provides 41 distinct categories. In total, these 2,148 users made 9,151,243 URL visits, spanning 49,918 unique domains. For each user in our data set, we have self-reported information (collected via a survey) about their gender and age.

    We acknowledge the support of Respondi AG, which provided the web tracking and survey data free of charge for research purposes, with special thanks to François Erner and Luc Kalaora at Respondi for their insights and help with data extraction.

    The data set is analyzed in the following paper:

    • Kulshrestha, J., Oliveira, M., Karacalik, O., Bonnay, D., Wagner, C. "Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data." Proceedings of the International AAAI Conference on Web and Social Media. 2021. https://arxiv.org/abs/2012.15112.

    The code used to analyze the data is also available at https://github.com/gesiscss/web_tracking.

    If you use data or code from this repository, please cite the paper above and the Zenodo link.

  18. d

    Top 1000 Arlington County Website Pages

    • catalog.data.gov
    Updated Nov 12, 2020
    + more versions
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    Arlington County (2020). Top 1000 Arlington County Website Pages [Dataset]. https://catalog.data.gov/dataset/top-1000-arlington-county-website-pages
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    Arlington County
    Area covered
    Arlington County
    Description

    Monthly statistics for the top 1,000 Arlington County Government public webpages.

  19. Website Screenshot Software Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Website Screenshot Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-website-screenshot-software-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Website Screenshot Software Market Outlook



    The global website screenshot software market size was valued at USD 250 million in 2023 and is projected to reach USD 550 million by 2032, growing at a compound annual growth rate (CAGR) of 9.1% from 2024 to 2032. The primary growth driver for this market is the increasing need for detailed website analytics and competitive analysis, facilitated by the enhanced functionality that website screenshot software provides.



    One of the significant growth factors contributing to the expansion of the website screenshot software market is the booming e-commerce sector. As businesses increasingly move online, the demand for tools that can capture, analyze, and archive website content has surged. E-commerce companies, in particular, rely heavily on website screenshot software to track their competitors' pricing strategies, promotional activities, and website design changes. Moreover, the emphasis on digital marketing strategies necessitates frequent monitoring and analysis of various web pages, propelling the demand for such software.



    The rise in remote work is another critical factor driving the market growth. With teams working from various locations, the need for collaborative tools that facilitate real-time sharing of web content has become imperative. Website screenshot software allows team members to capture and share web pages seamlessly, aiding in better communication and faster decision-making. Such tools are particularly beneficial for web development and digital marketing teams, enabling them to provide visual feedback and suggestions efficiently.



    Technological advancements and the integration of advanced features like automated screenshot capture, scheduling, and cloud storage capabilities are also contributing to market growth. These advancements make it easier for users to capture, store, and manage large volumes of web content. Additionally, the increasing adoption of cloud-based solutions offers flexibility and scalability, further boosting the adoption of website screenshot software. The continuous innovation in software capabilities is expected to sustain market growth over the forecast period.



    In the realm of digital tools, Web Scraper Software plays a pivotal role in complementing website screenshot software. While screenshot software captures static images of web pages, web scraper software goes a step further by extracting data from websites for analysis. This capability is crucial for businesses that require detailed insights into competitor activities, market trends, and consumer behavior. By automating the data extraction process, web scraper software saves time and resources, allowing companies to focus on strategic decision-making. The synergy between website screenshot and web scraper software can significantly enhance a company's ability to conduct comprehensive web analytics and competitive analysis.



    Regionally, North America holds a significant share of the website screenshot software market, driven by the presence of major technology companies and a high adoption rate of advanced digital tools. However, Asia Pacific is projected to witness the highest growth rate during the forecast period, thanks to the rapid digital transformation in emerging economies, increasing internet penetration, and the burgeoning e-commerce sector. Europe is also a key market, with growing investments in digital marketing and web development driving the demand for website screenshot software.



    Deployment Type Analysis



    The website screenshot software market is segmented into cloud-based and on-premises deployment. Cloud-based deployment is expected to dominate the market owing to its benefits such as ease of access, scalability, and lower upfront costs. Cloud-based solutions allow users to access the software from anywhere, making it highly suitable for remote teams and enterprises with multiple locations. This flexibility is a significant advantage, especially in the current scenario where remote working has become the norm for many organizations. Furthermore, cloud-based deployment facilitates automatic updates and maintenance, reducing the burden on in-house IT teams.



    On-premises deployment, however, holds its significance in the market, particularly among large enterprises with stringent data security and compliance requirements. These organizations prefer to have complete control over their data and infrastructure, which is achievable through on-p

  20. A

    ‘Top 1000 Arlington County Website Pages’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 12, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Top 1000 Arlington County Website Pages’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-top-1000-arlington-county-website-pages-6575/b5235d9d/?iid=002-305&v=presentation
    Explore at:
    Dataset updated
    Feb 12, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Area covered
    Arlington County
    Description

    Analysis of ‘Top 1000 Arlington County Website Pages’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/1dd4ea92-3dfe-42e0-a0a1-71f048f4f9d7 on 12 February 2022.

    --- Dataset description provided by original source is as follows ---

    Monthly statistics for the top 1,000 Arlington County Government public webpages.

    --- Original source retains full ownership of the source dataset ---

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Close
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Lincolnshire County Council (2018). Website Statistics [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/M2ZkZDBjOTUtMzNhYi00YWRjLWI1OWMtZmUzMzA5NjM0ZTdk
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Website Statistics

Explore at:
csv, pdfAvailable download formats
Dataset updated
Jun 11, 2018
Dataset provided by
Lincolnshire County Councilhttp://www.lincolnshire.gov.uk/
License

Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically

Description

This Website Statistics dataset has four resources showing usage of the Lincolnshire Open Data website. Web analytics terms used in each resource are defined in their accompanying Metadata file.

  • Website Usage Statistics: This document shows a statistical summary of usage of the Lincolnshire Open Data site for the latest calendar year.

  • Website Statistics Summary: This dataset shows a website statistics summary for the Lincolnshire Open Data site for the latest calendar year.

  • Webpage Statistics: This dataset shows statistics for individual Webpages on the Lincolnshire Open Data site by calendar year.

  • Dataset Statistics: This dataset shows cumulative totals for Datasets on the Lincolnshire Open Data site that have also been published on the national Open Data site Data.Gov.UK - see the Source link.

    Note: Website and Webpage statistics (the first three resources above) show only UK users, and exclude API calls (automated requests for datasets). The Dataset Statistics are confined to users with javascript enabled, which excludes web crawlers and API calls.

These Website Statistics resources are updated annually in January by the Lincolnshire County Council Business Intelligence team. For any enquiries about the information contact opendata@lincolnshire.gov.uk.

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