100+ datasets found
  1. e

    Statistics, compilation of visits to TCN websites

    • data.europa.eu
    csv
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Valsts kanceleja, Statistics, compilation of visits to TCN websites [Dataset]. https://data.europa.eu/data/datasets/01c2fafa-25cb-4aae-9729-b86ee4851a6b?locale=en
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Valsts kanceleja
    Description

    Statistics on the visits to the websites of the institutions located on the single platform of the websites of national and local authorities.
    Statistics do not reflect all website visitors, but only those who have consented to statistical cookies.

  2. Share of top U.S. websites ignoring user privacy preferences 2024

    • statista.com
    Updated Mar 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Share of top U.S. websites ignoring user privacy preferences 2024 [Dataset]. https://www.statista.com/statistics/1560221/us-privacy-preference-ignoring/
    Explore at:
    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2024
    Area covered
    United States
    Description

    As of September 2024, 75 percent of the 100 most visited websites in the United States shared personal data with advertising 3rd parties, even when users opted out. Moreover, 70 percent of them drop advertising 3rd party cookies even when users opt out.

  3. Top features of SME websites in the U.S. 2024

    • statista.com
    Updated May 6, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Top features of SME websites in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1461122/features-sme-websites/
    Explore at:
    Dataset updated
    May 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    An analysis showed that as of April 2024 only 37 percent of small business home pages in the United States provided the users with contact information for the company they represented. Most commonly featured elements were photographs and call-to-action buttons, included on 87 percent and 86 percent of SME home pages, respectively.

  4. d

    Unleashed website statistics - Dataset - data.sa.gov.au

    • data.sa.gov.au
    Updated Jun 29, 2016
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2016). Unleashed website statistics - Dataset - data.sa.gov.au [Dataset]. https://data.sa.gov.au/data/dataset/unleashed-website-statistics
    Explore at:
    Dataset updated
    Jun 29, 2016
    License

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

    Area covered
    South Australia
    Description

    This dataset contains statistics related to the Unleashed website (http://uladl.com). Unleashed is an open data competition, an initiative of the Office for Digital Government, Department of the Premier and Cabinet. The data is used to monitor the level of engagement activity with the audience, and make the communication effective in regards to the event.

  5. O

    Website statistics—Your rights, crime and the law

    • data.qld.gov.au
    • researchdata.edu.au
    • +1more
    csv
    Updated Apr 24, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Communities, Housing and Digital Economy (2021). Website statistics—Your rights, crime and the law [Dataset]. https://www.data.qld.gov.au/dataset/website-statistics-your-rights-crime-and-the-law
    Explore at:
    csv(305664), csv(243712), csv(167936), csv(271872), csv(397824), csv(353792), csv(518656), csv(216576), csv(16), csv(514560), csv(132608), csv(317952), csv(322560), csv(276480)Available download formats
    Dataset updated
    Apr 24, 2021
    Dataset authored and provided by
    Communities, Housing and Digital Economy
    License

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

    Description

    Monthly statistics for pages viewed by visitors to the Queensland Government website—Your rights, crime and the law franchise. Source: Google Analytics

  6. Total global visitor traffic to user-generated content websites 2024

    • statista.com
    Updated Nov 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2024). Total global visitor traffic to user-generated content websites 2024 [Dataset]. https://www.statista.com/statistics/1328702/web-visitor-traffic-top-websites-ugc/
    Explore at:
    Dataset updated
    Nov 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2024
    Area covered
    Worldwide
    Description

    In March 2024, the video platform YouTube reported around 32.5 billion visits from global users. Meta-owned Facebook.com reported around 16.1 billion visits from global users, as Instagram.com and Twitter.com followed, each with 7 billion and 6.1 billion visits from users worldwide during the examined month. Wikipedia.org, which hosts users-generated encyclopedic entries, recorded around 4.4 billion visits, while news aggregator and community platform Reddit.com saw approximately 2.2 billion visits during the examined period.

  7. International Data & Economic Analysis (IDEA)

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 25, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.usaid.gov (2024). International Data & Economic Analysis (IDEA) [Dataset]. https://catalog.data.gov/dataset/international-data-economic-analysis-idea
    Explore at:
    Dataset updated
    Jun 25, 2024
    Dataset provided by
    United States Agency for International Developmenthttps://usaid.gov/
    Description

    International Data & Economic Analysis (IDEA) is USAID's comprehensive source of economic and social data and analysis. IDEA brings together over 12,000 data series from over 125 sources into one location for easy access by USAID and its partners through the USAID public website. The data are broken down by countries, years and the following sectors: Economy, Country Ratings and Rankings, Trade, Development Assistance, Education, Health, Population, and Natural Resources. IDEA regularly updates the database as new data become available. Examples of IDEA sources include the Demographic and Health Surveys, STATcompiler; UN Food and Agriculture Organization, Food Price Index; IMF, Direction of Trade Statistics; Millennium Challenge Corporation; and World Bank, World Development Indicators. The database can be queried by navigating to the site displayed in the Home Page field below.

  8. O

    Website statistics—People with disability

    • data.qld.gov.au
    csv
    Updated Apr 24, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Communities, Housing and Digital Economy (2021). Website statistics—People with disability [Dataset]. https://www.data.qld.gov.au/dataset/website-statistics-people-with-disability
    Explore at:
    csv(18944), csv(13824), csv(15872), csv(14848), csv(13312), csv(10752), csv(12288), csv(14336), csv(12800), csv(15360)Available download formats
    Dataset updated
    Apr 24, 2021
    Dataset authored and provided by
    Communities, Housing and Digital Economy
    License

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

    Description

    Monthly statistics for pages viewed by visitors to the Queensland Government website—People with disability franchise. Source: Google Analytics

  9. d

    Web Scraping Data | Key Customers Domain Name Data | Scanning Logos found on...

    • datarade.ai
    .json
    Updated Jun 27, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    PredictLeads (2024). Web Scraping Data | Key Customers Domain Name Data | Scanning Logos found on Websites | 200M+ Records [Dataset]. https://datarade.ai/data-products/predictleads-web-scraping-data-domain-name-data-business-predictleads
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset authored and provided by
    PredictLeads
    Area covered
    Malaysia, Benin, Nigeria, Svalbard and Jan Mayen, Burkina Faso, Oman, Colombia, Curaçao, Turkmenistan, Northern Mariana Islands
    Description

    PredictLeads Key Customers Data offers a critical technical resource for B2B operations, focusing on capturing detailed insights about business relationships directly from company websites. By leveraging advanced web scraping technologies and innovative logo data recognition, we provide extensive Domain Name Data, Logo Data, Company Data, and Business Website Data. This dataset is crucial for executing sophisticated Sentiment Analysis, creating a 360-degree Customer View, enhancing Account Profiling, conducting in-depth Company Analysis, and supporting comprehensive Analytics.

    Key Technical Features for B2B Operations:

    ➡️ Advanced Web Scraping and Logo Data Techniques: PredictLeads employs cutting-edge technologies to detect and analyze key customers represented through logos and mentions on business websites, including case studies and partner pages. ➡️ Rich Domain Name and Company Data: Access detailed information on business relationships and company affiliations that are crucial for analyzing market positions and influence. ➡️ Comprehensive Business Website Data: Utilize data gathered from company websites to gain insights into their operational networks, partnerships, and customer relationships.

    Enhancing B2B Strategies with PredictLeads Data:

    ➡️ 360-Degree Customer Views: Develop comprehensive views of your customers by integrating detailed key customers data, revealing not just direct relationships but also extended networks. ➡️ Account Profiling: Enhance your account profiling efforts by using our connections data to understand the breadth and depth of a company's market engagements and partnerships. ➡️ Sentiment Analysis: Apply sentiment analysis techniques to the data collected from business websites and news sources to assess the sentiment surrounding business relationships and market moves. ➡️ Company Analysis: Leverage our detailed company and business website data to perform in-depth analyses of company strategies, growth potential, and market influence. ➡️ Advanced Analytics: Utilize our comprehensive dataset in your B2B data cleansing processes and analytical models to ensure data accuracy and relevancy in your CRM and marketing automation platforms.

    Strategic Technical Applications in B2B:

    ➡️ Informed Decision-Making: Empower your technical teams with data that highlights strategic key customers and market dynamics, enhancing strategic initiatives and business outcomes. ➡️ Enhanced Data Reliability for Technical Operations: Our rigorous data collection and validation processes ensure you work with the most reliable and relevant data, supporting critical assessments and business operations. ➡️ Competitive and Market Analysis: Utilize our comprehensive data to conduct detailed analyses of competitors and market trends, providing a strategic edge in planning and execution.

    Why PredictLeads Key Customers Data is Essential for Technical B2B Teams:

    ✅ Designed for Technical Precision: Our solutions are meticulously crafted to meet the specific needs of technical teams, offering unparalleled depth and applicability. ✅ Up-to-Date and Comprehensive: Continuous updates and broad coverage ensure that our key customers data captures the dynamic nature of global business environments, providing timely and essential insights. ✅ Trusted by Industry Leaders: Recognized for its robust data architecture and precision, PredictLeads is relied upon by technical analysts and data scientists across industries to guide their strategy and operations.

    PredictLeads Key Customers Data is a tool for B2B organizations that rely on deep technical insights to steer their strategic and operational directives. By integrating the key customers data into your systems, you enhance your capacity for informed decision-making, ensuring robust technical operations and strategic advantage in a competitive marketplace.

  10. d

    Website statistics—Seniors

    • data.gov.au
    • data.qld.gov.au
    • +2more
    csv
    Updated Apr 23, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Communities, Housing and Digital Economy (2021). Website statistics—Seniors [Dataset]. https://data.gov.au/dataset/ds-qld-90534a84-ff29-440e-af92-53161cb054f8
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 23, 2021
    Dataset provided by
    Communities, Housing and Digital Economy
    License

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

    Description

    Monthly statistics for pages viewed by visitors to the Queensland Government website—Seniors franchise. Source: Google Analytics Monthly statistics for pages viewed by visitors to the Queensland Government website—Seniors franchise. Source: Google Analytics

  11. O

    Website statistics—About Queensland and its government

    • data.qld.gov.au
    • researchdata.edu.au
    • +1more
    csv
    Updated Apr 24, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Communities, Housing and Digital Economy (2021). Website statistics—About Queensland and its government [Dataset]. https://www.data.qld.gov.au/dataset/website-statistics-about-queensland-and-its-government
    Explore at:
    csv(75264), csv(132608), csv(115200), csv(31232), csv(69120), csv(99840), csv(104448), csv(97280), csv(140800), csv(60928), csv(142336), csv(118272), csv(157696), csv(66048)Available download formats
    Dataset updated
    Apr 24, 2021
    Dataset authored and provided by
    Communities, Housing and Digital Economy
    License

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

    Area covered
    Queensland
    Description

    Monthly statistics for pages viewed by visitors to the Queensland Government website—About Queensland and its government franchise. Source: Google Analytics

  12. U

    United States AHE: sa: PW: LH: Historical Sites & Other Similar Institutions...

    • ceicdata.com
    Updated Nov 25, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2024). United States AHE: sa: PW: LH: Historical Sites & Other Similar Institutions [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-hourly-earnings-production-workers-seasonally-adjusted/ahe-sa-pw-lh-historical-sites--other-similar-institutions
    Explore at:
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jan 1, 2024 - Dec 1, 2024
    Area covered
    United States
    Description

    United States AHE: sa: PW: LH: Historical Sites & Other Similar Institutions data was reported at 22.080 USD in Dec 2024. This records a decrease from the previous number of 22.180 USD for Nov 2024. United States AHE: sa: PW: LH: Historical Sites & Other Similar Institutions data is updated monthly, averaging 13.270 USD from Jan 1990 (Median) to Dec 2024, with 420 observations. The data reached an all-time high of 22.230 USD in Oct 2024 and a record low of 7.070 USD in Mar 1990. United States AHE: sa: PW: LH: Historical Sites & Other Similar Institutions data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G071: Current Employment Statistics Survey: Average Hourly Earnings: Production Workers: Seasonally Adjusted.

  13. d

    Website Analytics

    • catalog.data.gov
    • data.somervillema.gov
    Updated Feb 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.somervillema.gov (2025). Website Analytics [Dataset]. https://catalog.data.gov/dataset/somerville-analytics
    Explore at:
    Dataset updated
    Feb 7, 2025
    Dataset provided by
    data.somervillema.gov
    Description

    Contains view count data for the top 20 pages each day on the Somerville MA city website dating back to 2020. Data is used in the City's dashboard which can be found at https://www.somervilledata.farm/.

  14. O

    Website statistics—Health and wellbeing

    • data.qld.gov.au
    • data.wu.ac.at
    csv
    Updated Apr 24, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Communities, Housing and Digital Economy (2021). Website statistics—Health and wellbeing [Dataset]. https://www.data.qld.gov.au/dataset/website-statistics-health-and-wellbeing
    Explore at:
    csv(12800), csv(10752), csv(11264), csv(12288), csv(10240), csv(13824), csv(11776), csv(13312), csv(15360)Available download formats
    Dataset updated
    Apr 24, 2021
    Dataset authored and provided by
    Communities, Housing and Digital Economy
    License

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

    Description

    Monthly statistics for pages viewed by visitors to the Queensland Government website—Health and wellbeing franchise. Source: Google Analytics

  15. N

    New Site, AL Population Breakdown by Gender and Age Dataset: Male and Female...

    • neilsberg.com
    csv, json
    Updated Feb 19, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Neilsberg Research (2024). New Site, AL Population Breakdown by Gender and Age Dataset: Male and Female Population Distribution Across 18 Age Groups // 2024 Edition [Dataset]. https://www.neilsberg.com/research/datasets/8e337340-c989-11ee-9145-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Feb 19, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Alabama, New Site
    Variables measured
    Male and Female Population Under 5 Years, Male and Female Population over 85 years, Male and Female Population Between 5 and 9 years, Male and Female Population Between 10 and 14 years, Male and Female Population Between 15 and 19 years, Male and Female Population Between 20 and 24 years, Male and Female Population Between 25 and 29 years, Male and Female Population Between 30 and 34 years, Male and Female Population Between 35 and 39 years, Male and Female Population Between 40 and 44 years, and 8 more
    Measurement technique
    The data presented in this dataset is derived from the latest U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. To measure the three variables, namely (a) Population (Male), (b) Population (Female), and (c) Gender Ratio (Males per 100 Females), we initially analyzed and categorized the data for each of the gender classifications (biological sex) reported by the US Census Bureau across 18 age groups, ranging from under 5 years to 85 years and above. These age groups are described above in the variables section. For further information regarding these estimates, please feel free to reach out to us via email at research@neilsberg.com.
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset tabulates the population of New Site by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for New Site. The dataset can be utilized to understand the population distribution of New Site by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in New Site. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for New Site.

    Key observations

    Largest age group (population): Male # 75-79 years (64) | Female # 10-14 years (58). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

    Age groups:

    • Under 5 years
    • 5 to 9 years
    • 10 to 14 years
    • 15 to 19 years
    • 20 to 24 years
    • 25 to 29 years
    • 30 to 34 years
    • 35 to 39 years
    • 40 to 44 years
    • 45 to 49 years
    • 50 to 54 years
    • 55 to 59 years
    • 60 to 64 years
    • 65 to 69 years
    • 70 to 74 years
    • 75 to 79 years
    • 80 to 84 years
    • 85 years and over

    Scope of gender :

    Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

    Variables / Data Columns

    • Age Group: This column displays the age group for the New Site population analysis. Total expected values are 18 and are define above in the age groups section.
    • Population (Male): The male population in the New Site is shown in the following column.
    • Population (Female): The female population in the New Site is shown in the following column.
    • Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in New Site for each age group.

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for New Site Population by Gender. You can refer the same here

  16. f

    Web Designer Express | Graphics Multimedia & Web Design | Technology Data

    • datastore.forage.ai
    Updated Sep 19, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Web Designer Express | Graphics Multimedia & Web Design | Technology Data [Dataset]. https://datastore.forage.ai/searchresults/?resource_keyword=web
    Explore at:
    Dataset updated
    Sep 19, 2024
    Description

    Web Designer Express is a reputable Miami-based company that has been in business for 20 years. With a team of experienced web designers and developers, they offer a wide range of services, including web design, e-commerce development, web development, and more. Their portfolio showcases over 10,000 websites designed, with a focus on creating custom, unique solutions for each client. With a presence in Miami, Florida, they cater to businesses and individuals seeking to establish a strong online presence. As a company, Web Designer Express is dedicated to building long-lasting relationships with their clients, providing personalized service, and exceeding expectations.

  17. Website statistics—Employment and jobs

    • researchdata.edu.au
    • data.qld.gov.au
    • +1more
    Updated Jun 23, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.qld.gov.au (2014). Website statistics—Employment and jobs [Dataset]. https://researchdata.edu.au/website-statistics8212employment-jobs/660566
    Explore at:
    Dataset updated
    Jun 23, 2014
    Dataset provided by
    Queensland Governmenthttp://qld.gov.au/
    License

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

    Description

    Monthly statistics for pages viewed by visitors to the Queensland Government website—Employment and jobs franchise. Source: Google Analytics

  18. National Center for Education Statistics

    • gisnation-sdi.hub.arcgis.com
    Updated Apr 4, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    National Center for Education Statistics (2018). National Center for Education Statistics [Dataset]. https://gisnation-sdi.hub.arcgis.com/datasets/nces::national-center-for-education-statistics
    Explore at:
    Dataset updated
    Apr 4, 2018
    Dataset authored and provided by
    National Center for Education Statisticshttps://nces.ed.gov/
    Area covered
    Description

    DO NOT DELETE OR MODIFY THIS ITEM. This item is managed by the ArcGIS Hub application. To make changes to this site, please visit https://hub.arcgis.com/admin/sites/new

  19. w

    Website statistics—Education and training

    • data.wu.ac.at
    • data.qld.gov.au
    • +1more
    csv
    Updated Aug 31, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Housing and Public Works (2018). Website statistics—Education and training [Dataset]. https://data.wu.ac.at/odso/data_qld_gov_au/OTBjNTdmNWItNTU4NC00ZWE5LTgyNmEtNzc4NzM3NmU1MWMx
    Explore at:
    csv(9044.0), csv(10033.0), csv(9135.0), csv(8736.0), csv(10976.0), csv(9713.0), csv(9147.0), csv(10249.0), csv(9731.0), csv(8801.0), csv(11949.0), csv(8345.0), csv(8842.0), csv(10135.0)Available download formats
    Dataset updated
    Aug 31, 2018
    Dataset provided by
    Housing and Public Works
    License

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

    Description

    Monthly statistics for pages viewed by visitors to the Queensland Government website—Education and training franchise. Source: Google Analytics

  20. d

    Altosight | AI Custom Web Scraping Data | 100% Global | Free Unlimited Data...

    • datarade.ai
    .json, .csv, .xls
    Updated Sep 7, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Altosight (2024). Altosight | AI Custom Web Scraping Data | 100% Global | Free Unlimited Data Points | Bypassing All CAPTCHAs & Blocking Mechanisms | GDPR Compliant [Dataset]. https://datarade.ai/data-products/altosight-ai-custom-web-scraping-data-100-global-free-altosight
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Sep 7, 2024
    Dataset authored and provided by
    Altosight
    Area covered
    Tajikistan, Czech Republic, Svalbard and Jan Mayen, Guatemala, Wallis and Futuna, Chile, Singapore, Côte d'Ivoire, Greenland, Paraguay
    Description

    Altosight | AI Custom Web Scraping Data

    ✦ Altosight provides global web scraping data services with AI-powered technology that bypasses CAPTCHAs, blocking mechanisms, and handles dynamic content.

    We extract data from marketplaces like Amazon, aggregators, e-commerce, and real estate websites, ensuring comprehensive and accurate results.

    ✦ Our solution offers free unlimited data points across any project, with no additional setup costs.

    We deliver data through flexible methods such as API, CSV, JSON, and FTP, all at no extra charge.

    ― Key Use Cases ―

    ➤ Price Monitoring & Repricing Solutions

    🔹 Automatic repricing, AI-driven repricing, and custom repricing rules 🔹 Receive price suggestions via API or CSV to stay competitive 🔹 Track competitors in real-time or at scheduled intervals

    ➤ E-commerce Optimization

    🔹 Extract product prices, reviews, ratings, images, and trends 🔹 Identify trending products and enhance your e-commerce strategy 🔹 Build dropshipping tools or marketplace optimization platforms with our data

    ➤ Product Assortment Analysis

    🔹 Extract the entire product catalog from competitor websites 🔹 Analyze product assortment to refine your own offerings and identify gaps 🔹 Understand competitor strategies and optimize your product lineup

    ➤ Marketplaces & Aggregators

    🔹 Crawl entire product categories and track best-sellers 🔹 Monitor position changes across categories 🔹 Identify which eRetailers sell specific brands and which SKUs for better market analysis

    ➤ Business Website Data

    🔹 Extract detailed company profiles, including financial statements, key personnel, industry reports, and market trends, enabling in-depth competitor and market analysis

    🔹 Collect customer reviews and ratings from business websites to analyze brand sentiment and product performance, helping businesses refine their strategies

    ➤ Domain Name Data

    🔹 Access comprehensive data, including domain registration details, ownership information, expiration dates, and contact information. Ideal for market research, brand monitoring, lead generation, and cybersecurity efforts

    ➤ Real Estate Data

    🔹 Access property listings, prices, and availability 🔹 Analyze trends and opportunities for investment or sales strategies

    ― Data Collection & Quality ―

    ► Publicly Sourced Data: Altosight collects web scraping data from publicly available websites, online platforms, and industry-specific aggregators

    ► AI-Powered Scraping: Our technology handles dynamic content, JavaScript-heavy sites, and pagination, ensuring complete data extraction

    ► High Data Quality: We clean and structure unstructured data, ensuring it is reliable, accurate, and delivered in formats such as API, CSV, JSON, and more

    ► Industry Coverage: We serve industries including e-commerce, real estate, travel, finance, and more. Our solution supports use cases like market research, competitive analysis, and business intelligence

    ► Bulk Data Extraction: We support large-scale data extraction from multiple websites, allowing you to gather millions of data points across industries in a single project

    ► Scalable Infrastructure: Our platform is built to scale with your needs, allowing seamless extraction for projects of any size, from small pilot projects to ongoing, large-scale data extraction

    ― Why Choose Altosight? ―

    ✔ Unlimited Data Points: Altosight offers unlimited free attributes, meaning you can extract as many data points from a page as you need without extra charges

    ✔ Proprietary Anti-Blocking Technology: Altosight utilizes proprietary techniques to bypass blocking mechanisms, including CAPTCHAs, Cloudflare, and other obstacles. This ensures uninterrupted access to data, no matter how complex the target websites are

    ✔ Flexible Across Industries: Our crawlers easily adapt across industries, including e-commerce, real estate, finance, and more. We offer customized data solutions tailored to specific needs

    ✔ GDPR & CCPA Compliance: Your data is handled securely and ethically, ensuring compliance with GDPR, CCPA and other regulations

    ✔ No Setup or Infrastructure Costs: Start scraping without worrying about additional costs. We provide a hassle-free experience with fast project deployment

    ✔ Free Data Delivery Methods: Receive your data via API, CSV, JSON, or FTP at no extra charge. We ensure seamless integration with your systems

    ✔ Fast Support: Our team is always available via phone and email, resolving over 90% of support tickets within the same day

    ― Custom Projects & Real-Time Data ―

    ✦ Tailored Solutions: Every business has unique needs, which is why Altosight offers custom data projects. Contact us for a feasibility analysis, and we’ll design a solution that fits your goals

    ✦ Real-Time Data: Whether you need real-time data delivery or scheduled updates, we provide the flexibility to receive data when you need it. Track price changes, monitor product trends, or gather...

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Valsts kanceleja, Statistics, compilation of visits to TCN websites [Dataset]. https://data.europa.eu/data/datasets/01c2fafa-25cb-4aae-9729-b86ee4851a6b?locale=en

Statistics, compilation of visits to TCN websites

Explore at:
csvAvailable download formats
Dataset authored and provided by
Valsts kanceleja
Description

Statistics on the visits to the websites of the institutions located on the single platform of the websites of national and local authorities.
Statistics do not reflect all website visitors, but only those who have consented to statistical cookies.

Search
Clear search
Close search
Google apps
Main menu