When you’re at work or at home, there’s a high chance that you’re going to use Google. You may be using Google to find a plumber for your leaky bathroom sink or see where the best sushi is in town. When you’re on Google, you’re looking for the top results which means you’re not scrolling past page one, unless, you’re desperate. So, getting your company on the first page of Google is extremely important and impactful for success. But, how do you get your business there? Well, here’s how.

Know the Basics

Before you do anything, you need to know the basics of how online marketing and Google search functions. By knowing the basics, you won’t waste time performing outdated tasks or being overcharged by an SEO Agency http://www.whitehatagency.com.au/seo-agency or marketing companies that recognize your lack of knowledge. Education is the key to success.

Use SEO

Search Engine Optimization is the method of attracting online attention and visibility through organic means. In essence, the unpaid search results - the paid search results typically have “sponsored” or “paid advertisement” written below them. But you can naturally drive traffic towards your site just by using the right keywords. Certain keywords will push your content, allowing it to be shown in the top results.

Meet the Google Standards

Google has standards which your website must fulfil prior to appearing as a #1 website in the search results. Google will flag any errors they deem needed fixed and you’re going to want to fix them, for example, broken links. If you don’t meet the standards, they’ll penalize all your pages until you fix them. So, take some time out of your day and make sure your website is fully functioning.

Content is everything

You may invest some top dollars in the look and appeal of your site but at the end of the day, it doesn’t really matter what your site looks like. What truly matters is the content as that will drive viewers to your site. The Google search results are designed to provide users with the most relevant material on the web. If your content isn’t providing value to the viewers, your material won’t make it to #1.

Focus on links

Links play an important role when it comes to Google’s ranking system. The way Google works is that it pays attention to the hyperlinks in content to figure out what keywords are tied to the link being used. Though this doesn’t mean your entire article should be made of links, if you use too many they’ll deem it as suspicious activity and your website can be taken from Google.

Google loves mobile-friendly

If you want to come up with a #1 site then you need to show Google that you’re updated and relevant to the current technology. In other words, you need to make your site mobile-friendly. Many users read material while on their way to work, on the bus or on their couch. So, if you’re not catering to smartphones, well, Google isn’t going to favor you.

Lebrau, C. (2020). 6 Ways to Get on the First Page of Google, HydroShare, http://www.hydroshare.org/resource/5b487a7dc6104628b10c2b6921b595e1

A complete list of live websites using the Wordpress Seo Rank technology, compiled through global website indexing conducted by WebTechSurvey.

Google.com continues to dominate the digital landscape, ranking as the most linked-to website worldwide with 468,745 referring subnets as of December 2024. Facebook.com follows closely in second place with 470,479 referring subnets, while YouTube.com ranked third with 417,827.

A complete list of live websites using the Seo Local Rank technology, compiled through global website indexing conducted by WebTechSurvey.

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.

Context

This dataset includes some of the basic information of the websites we daily use. While scrapping this info, I learned quite a lot in R programming, system speed, memory usage etc. and developed my niche in Web Scrapping. It took about 4-5 hrs for scrapping this data through my system (4GB RAM) and nearly about 4-5 days working out my idea through this project.

Content

The dataset contains Top 50 ranked sites from each 191 countries along with their traffic (global) rank. Here, country_rank represent the traffic rank of that site within the country, and traffic_rank represent the global traffic rank of that site.

Since most of the columns meaning can be derived from their name itself, its pretty much straight forward to understand this dataset. However, there are some instances of confusion which I would like to explain in here:

1) most of the numeric values are in character format, hence, contain spaces which you might need to clean on.

2) There are multiple instances of same website. for.e.g. Yahoo. com is present in 179 rows within this dataset. This is due to their different country rank in each country.

3)The information provided in this dataset is for the top 50 websites in 191 countries as on 25th May 2017 and is subjected to change in future time due to the dynamic structure of ranking.

4) The dataset inactual contains 9540 rows instead of 9550(50*191 rows). This was due to the unavailability of information for 10 websites.

PS: in case if there are anymore queries, comment on this, I'll add an answer to that in above list.

Acknowledgements

I wouldn't have done this without the help of others. I've scrapped this information from publicly available (open to all) websites namely: 1) http://data.danetsoft.com/ 2) http://www.alexa.com/topsites , of which i'm highly grateful. I truly appreciate and thanks the owner of these sites for providing us with the information that I included today in this dataset.

Inspiration

I feel that there this a lot of scope for exploring & visualization this dataset to find out the trends in the attributes of these websites across countries. Also, one could try predicting the traffic(global) rank being a dependent factor on the other attributes of the website. In any case, this dataset will help you find out the popular sites in your area.

In the eyes of French SEOs, if there was one point that mattered absolutely in terms of SEO for mobile first indexing, it was the adaptation of the size of the content to the size of the screen in 2020. Other than that, when crawl was ensured, it made it easier for the crawler or the Internet user to visit and to facilitate the discovery of a site by search engines.

In August 2025, Google.com was the most visited website worldwide, with an average of 98.2 billion monthly visits. The platform has maintained its leading position since June 2010, when it surpassed Yahoo to take first place. YouTube ranked second during the same period, recording over 48 billion monthly visits. The internet leaders: search, social, and e-commerce Social networks, search engines, and e-commerce websites shape the online experience as we know it. While Google leads the global online search market by far, YouTube and Facebook have become the world’s most popular websites for user generated content, solidifying Alphabet’s and Meta’s leadership over the online landscape. Meanwhile, websites such as Amazon and eBay generate millions in profits from the sale and distribution of goods, making the e-market sector an integral part of the global retail scene. What is next for online content? Powering social media and websites like Reddit and Wikipedia, user-generated content keeps moving the internet’s engines. However, the rise of generative artificial intelligence will bring significant changes to how online content is produced and handled. ChatGPT is already transforming how online search is performed, and news of Google's 2024 deal for licensing Reddit content to train large language models (LLMs) signal that the internet is likely to go through a new revolution. While AI's impact on the online market might bring both opportunities and challenges, effective content management will remain crucial for profitability on the web.

Understanding: UrbanScape Apparel SEO Performance Final Dataset

Company: BrightWave Digital Department: Digital Marketing & SEO Team Industry: E-commerce (fashion and lifestyle products) Brand: UrbanScape Apparel

Story

BrightWave Digital is a fast-growing digital marketing agency that handles full-spectrum SEO, SEM, and content marketing for various clients. The SEO team is tasked with pushing UrbanScape Apparel, a sustainable fashion brand, to the top of the search rankings. The brand sells eco-friendly clothing and accessories aimed at environmentally conscious consumers in North America.

UrbanScape Apparel has recently expanded its product lines and introduced new collections, such as “Urban Outdoors” for hiking gear and “EcoActive” for athleisure. With increased competition in the eco-fashion market, BrightWave Digital’s SEO team must optimize UrbanScape’s site performance, monitor SEO metrics closely, and demonstrate measurable improvements in organic traffic and conversions.

Objectives

Improve rankings for high-intent keywords like "eco-friendly clothing" and "sustainable outdoor gear." Boost organic traffic from both mobile and desktop devices. Increase visibility through backlinks from high domain authority (DA) sites. Optimize Core Web Vitals to ensure the site ranks higher in Google’s search results. The dashboard data includes traffic, keyword rankings, click-through rates (CTR), and other performance metrics to track how well the SEO efforts are contributing to the brand’s growth.

Column Description

1. Date Definition: The specific day for which the data is collected. Importance: Allows tracking of daily trends and pinpointing specific dates of spikes or drops in performance.

2. Month Definition: The month corresponding to the data being analyzed. Importance: Helps in understanding monthly trends and seasonal patterns in traffic and user behavior.

3. Year Definition: The year in which the data was recorded. Importance: Essential for long-term trend analysis and year-over-year performance comparisons.

4. Quarter Definition: The fiscal quarter (Q1, Q2, Q3, Q4) for the given data. Importance: Useful for quarterly business reviews and strategy adjustments based on performance.

5. Time Of Day Definition: The specific time range (e.g., morning, afternoon, evening) when the traffic or engagement was recorded. Importance: Helps in understanding peak traffic times and optimizing content publishing schedules.

6. Primary Keywords Definition: The main keywords targeted for SEO, typically with high search volume and relevance to the brand. Importance: Crucial for understanding the focus of the SEO strategy and the effectiveness of ranking for these terms.

7. Secondary Keywords Definition: Additional keywords that complement primary keywords, often with lower competition and specific niches. Importance: Provides insights into secondary areas of focus that can still drive significant traffic and conversions.

8. Long-Tail Keywords Definition: More specific keyword phrases usually consisting of three or more words, targeting niche search queries. Importance: Important for attracting highly targeted traffic and often associated with higher conversion rates.

9. Location Definition: Geographic region from where the traffic is coming. Importance: Helps in understanding regional performance and tailoring content or promotions to specific markets.

10. Social Media Source Definition: The social media platform (e.g., Instagram, Pinterest) from which traffic is referred to the site. Importance: Measures the impact of social media channels on website traffic and engagement.

11. Media Type Definition: The format of the media content (e.g., image, video, article) driving traffic. Importance: Analyzes which media types resonate best with the audience and contribute to higher engagement.

12. Device Type Definition: The type of device used by visitors (e.g., mobile, desktop, tablet) to access the website. Importance: Essential for optimizing user experience across different devices and identifying potential issues.

13. Organic Traffic Definition: The number of visitors coming to the site through unpaid search results. Importance: Shows how well the site is performing in attracting users through SEO efforts without relying on paid advertising.

14. Keywords Ranking Definition: The position of targeted keywords in search engine results pages (SERPs). Importance: Indicates the effectiveness of SEO strategies in improving keyword visibility and competitiveness.

15. Clicks Definition: The number of times users click on the site’s links from search results. Importance: Reflects user interest and relevance of the search snippets or ads shown to users.

16. Impressions Definition: The number of times a site appears in search r...

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

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

Context

Alexa Internet rank websites primarily on tracking a sample set of Internet traffic—users of its toolbar for the Internet Explorer, Firefox and Google Chrome web browsers. The Alexa Toolbar includes a popup blocker (which stops unwanted ads), a search box, links to Amazon.com and the Alexa homepage, and the Alexa ranking of the website that the user is visiting. It also allows the user to rate the website and view links to external, relevant websites. Also, Alexa has prepared a list of information for each site for comparison and ranking with other similar sites for each site.

This dataset is a record of all information on the top websites in each category in Alexa ranking. Source: https://github.com/AshkanGoharfar/Crawler_for_alexa.com

Content

This dataset includes several site data, which were achieved from "alexa.com/siteinfo" (for example alexa.com/siteinfo/facebook.com). Data is included for the top 50 websites for every 550 categories in Alexa ranking. (The dataset was obtained for about 22000 sites.) The data also includes keyword opportunities breakdown fields, which vary between categories. As well as each site has important parameters like all_topics_top_keywords_search_traffic_parameter which represent search traffics in competitor websites to this site. For more details about each site's data, you can find the site's name and site's information in the dataset and you can search alexa.com/siteinfo/SiteName link to understand each parameter and columns in the dataset.

Acknowledgements

This dataset was collected using the selenium library and chrome web driver to crawl alexa.com data with python language.

Provider: Ashkan Goharfar, ashkan_goharfar@aut.ac.ir, Department of Computer Engineering and Information Technology, Amirkabir University of Technology

Citation Request

A. Risheh, A. Goharfar, and N. T. Javan, "Clustering Alexa Internet Data using Auto Encoder Network and Affinity Propagation," 2020 10th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, Iran, 2020, pp. 437-443, doi: 10.1109/ICCKE50421.2020.9303705.

Inspiration

Possible uses for this dataset could include:

Sentiment analysis in a variety of forms. Categorizing websites based on their competitor websites, daily time on the website and Keyword opportunities.

Analyzing what factors affect on Comparison metrics search traffic, Comparison metrics data, Audience overlap sites overlap scores, top keywords share of voice, top keywords search traffic, optimization opportunities organic share of voice, Optimization opportunities search popularity, Buyer keywords organic competition, Buyer keywords Avg traffic, Easy to rank keywords search pop, Easy to rank keywords relevance to site, Keyword gaps search popularity, Keyword gaps Avg traffic and Keywords search traffic.

Training ML algorithms like RNNs to generate a probability for each site in each category to being SEO by Google.

Use NLP for columns like keyword gaps name, Easy to rank keywords name, Buyer keywords name, optimization opportunities name, Top keywords name and Audience overlap similar sites to this site.

This is a list of cleanup sites in Washington State. It includes sites and associated websites. It includes location data, Cleanup Status, Site Rank – if the site is ranked, and if the site has an Environmental Covenant.

Over half the cleanup sites have a status of “No Further Action Required/Decision” or NFA. If a site has a NFA it includes the latest NFA date and NFA reason.

The Washington Department of Ecology (Toxics Cleanup Program) works to clean up contaminated sites/properties throughout the state of Washington. This data was downloaded from the Integrated Site Information System (ISIS) database and is monthly.

airocket.site is ranked #29875 in RU with 43.32K Traffic. Categories: . Learn more about website traffic, market share, and more!

A complete list of live websites using the Rank Expert technology, compiled through global website indexing conducted by WebTechSurvey.

toketbagus.site is ranked #275324 in ID with 1.2K Traffic. Categories: . Learn more about website traffic, market share, and more!

The SCImago Institutions Rankings (SIR) is a classification of academic and research-related institutions ranked by a composite indicator that combines three different sets of indicators based on research performance, innovation outputs and societal impact measured by their web visibility. It provides a friendly interface that allows the visualization of any customized ranking from the combination of these three sets of indicators. Additionally, it is possible to compare the trends for individual indicators of up to six institutions. For each large sector it is also possible to obtain distribution charts of the different indicators. For comparative purposes, the value of the composite indicator has been set on a scale of 0 to 100. However the line graphs and bar graphs always represent ranks (lower is better, so the highest values are the worst).

allcalidad.site is ranked #283566 in CL with 165 Traffic. Categories: . Learn more about website traffic, market share, and more!

Context

Alexa Internet was founded in April 1996 by Brewster Kahle and Bruce Gilliat. The company's name was chosen in homage to the Library of Alexandria of Ptolemaic Egypt, drawing a parallel between the largest repository of knowledge in the ancient world and the potential of the Internet to become a similar store of knowledge. (from Wikipedia)

The categories list was going out by September, 17h, 2020. So I would like to save it. https://support.alexa.com/hc/en-us/articles/360051913314

This dataset was elaborated by this python script (V2.0): https://github.com/natanael127/dump-alexa-ranking

Content

The sites are grouped in 17 macro categories and this tree ends having more than 360.000 nodes. Subjects are very organized and each of them has its own rank of most accessed domains. So, even the keys of a sub-dictionary may be a good small dataset to use.

Acknowledgements

Thank you my friend André (https://github.com/andrerclaudio) by helping me with tips of Google Colaboratory and computational power to get the data until our deadline.

Inspiration

Alexa ranking was inspired by Library of Alexandria. In the modern world, it may be a good start for AI know more about many, many subjects of the world.

site.com is ranked #222 in US with 97.24M Traffic. Categories: . Learn more about website traffic, market share, and more!