In 2023, "weather" was the most searched keyword on Google in the United States, with almost 82.62 million online searches monthly. "youtube" ranked second with an average of 71.3 million searches per month. The video platform generated nearly 582.7 million searches annually, of which over 99 percent were organic. The keyword for "amazon" came in third with over 56 million monthly searches, while "facebook" was the fourth-most popular keyword searched on Google, with over 54 million monthly searches.

You can check the fields description in the documentation: current Keyword database: https://docs.dataforseo.com/v3/databases/google/keywords/?bash; Historical Keyword database: https://docs.dataforseo.com/v3/databases/google/history/keywords/?bash. You don’t have to download fresh data dumps in JSON or CSV – we can deliver data straight to your storage or database. We send terrabytes of data to dozens of customers every month using Amazon S3, Google Cloud Storage, Microsoft Azure Blob, Eleasticsearch, and Google Big Query. Let us know if you’d like to get your data to any other storage or database.

"Squid Game" was the keyword that had the highest maximum monthly search volume in 2021, with 101 million online searches worldwide in its peak month. The second most trending keyword based on its peak search volume was "Christian Eriksen." Eriksen is a Danish football player who experienced cardiac arrest during the Euro 2020 Denmark against Finland match, on June 12, 2021. Another popular keyword search on Google was Queen Elisabeth's late husband "Prince Phillip," with a peak of 37.2 million searches. Another popular topic related to the British royal family was Prince Harry and Meghan Markle's interview with Oprah Winfrey in March 2021. This was the first big interview after the couple decided to step back as senior royals, and queries on the topic went up to 1.2 million searches on Google in 2021.

In 2024, "YouTube" was the most searched keyword on Google, with over 346 million monthly online searches. In addition, over 99 percent of its traffic was organic. The second most popular keyword was "facebook", with 228 million monthly searches. "Amazon" ranked third with approximately 163.94 million searches monthly. Additionally, the keyword "translate" ranked fourth, with around 141.5 million searches monthly.

PredSearch web search data support use-cases in industries like:

Online Retail & Brick and Mortar - Market web search data demand infers underpenetrated value pools: market demand from leading websites vs. own website (client). - New trends detection for private label product development based on data depth (niches) - Search experience when customer is log-in vs. when is not: increasing conversion when not having the ability to adapt content based on previous purchases - Relevant local product assortment vs. central catalogue direction (i.e., avoid showing in France the same catalogue than Germany) - Expansion to new markets based on search relevance to product catalogue

Consumer brands - Product development insights based on growing search segments including existing competition analysis - Very early trends detection due to the granularity and depth of search data (+25k terms/market/category/week in large markets)

Hedge funds and quantitative alternative investments - Identification of high increase or decrease in search volume from particular publicly traded brands across markets, and their expected alphas in the stock market.

Digital marketing and data-intelligence agencies - Click Share and Conversion Share analysis per category/market - Relevant local behaviors on purchase intent linked to search terms

Predictive AI model - Historical search keywords ranked by volume to train AI model in search predictions

Uniqueness of PredSearch data: 99.9% accuracy Very high granularity on web search data depth Can be grouped daily, weekly, monthly and quarterly level Can be delivered 48hrs after the occurrence, much faster than traditional data providers: Nielsen, Kantar, IRI 2-years of historic coverage We are flexible to explore new markets and commercial websites

Sourcing technology is a combination of: 1. Webscrapping 2. APIs 3. Crowdsourced data All integrated into a master table per market

Ranked by Keyword the Web Search Data consists of:

• 25+ consumer categories
• Insights from Top Brands, Top Products, Click Share, Conversion Share, Product Competitors per Search Term and Technical Product Specifications
• 2+ years of historical coverage
• 13+ markets

Between January and March 2021, the most searched Google keyword on YouTube.com was "youtube," with close to 174 million average monthly searches. The second leading keyword was "youtube to mp3," which is usually used by people to look for software to download music as mp3 files from videos hosted on the platform. Users also tried to reach YouTube TV, a live and on-demand video streaming service available in the United States, with the query "youtube tv" amassing almost 3.4 million average monthly searches in the examined period.

Abstract (our paper)

The frequency of a web search keyword generally reflects the degree of public interest in a particular subject matter. Search logs are therefore useful resources for trend analysis. However, access to search logs is typically restricted to search engine providers. In this paper, we investigate whether search frequency can be estimated from a different resource such as Wikipedia page views of open data. We found frequently searched keywords to have remarkably high correlations with Wikipedia page views. This suggests that Wikipedia page views can be an effective tool for determining popular global web search trends.

Data

personal-name.txt.gz:
The first column is the Wikipedia article id, the second column is the search keyword, the third column is the Wikipedia article title, and the fourth column is the total of page views from 2008 to 2014.

personal-name_data_google-trends.txt.gz, personal-name_data_wikipedia.txt.gz:
The first column is the period to be collected, the second column is the source (Google or Wikipedia), the third column is the Wikipedia article id, the fourth column is the search keyword, the fifth column is the date, and the sixth column is the value of search trend or page view.

Publication

This data set was created for our study. If you make use of this data set, please cite:
Mitsuo Yoshida, Yuki Arase, Takaaki Tsunoda, Mikio Yamamoto. Wikipedia Page View Reflects Web Search Trend. Proceedings of the 2015 ACM Web Science Conference (WebSci '15). no.65, pp.1-2, 2015.
http://dx.doi.org/10.1145/2786451.2786495
http://arxiv.org/abs/1509.02218 (author-created version)

Note

The raw data of Wikipedia page views is available in the following page.
http://dumps.wikimedia.org/other/pagecounts-raw/

Explore our expansive keyword database, housing 7.2 billion keywords across 229 countries, alongside detailed SERP results. Discover insights into search volume, keyword difficulty, CPC, competition, special search elements, and social domains.

Our database offers flexibility, available for purchase as the entire dataset or customizable subsets. With regular refreshes and a polishing option before sharing, ensure you're equipped with the most accurate and up-to-date information for informed decision-making and strategic planning in SEO and marketing endeavours.

Introduction

SEO Statistics: Search Engine Optimization (SEO) plays a huge role in how websites attract visitors online. This helps businesses get noticed on search engines like Google. Knowing SEO is important because it allows people to search for information, products, and services. These numbers can guide businesses to make better decisions about their online strategies.

For example, stats reveal how many people click on the first search result or use mobile devices for searches. By understanding these trends, businesses can improve their websites to rank higher and get more traffic. In this article, we'll explore key SEO statistics that highlight why SEO matters and how it shapes the digital world. Stay tuned for insights that are easy to understand!

Overview

Google is ranked in the top 10 with over 73,407 backlinks and a domain score of 94. Google search volume has 83,100,100 a month. So how much money does it take to have an ad of your website?

Content

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2681031%2Fb4d4d101d4c7a560aed2d962a1c1f6de%2Fvolume.PNG?generation=1598539665064163&alt=media" alt="">

Acknowledgements

Thanks for ubersuggest for helping me prove the information for the dataset.

Inspiration

A lot of people have websites that they want to showcase, but at what cost. This also helps people with their DataFrame and csv file skills. Also help people who want to have an Google ad.

This dataset comprises information gathered in an Excel file for conducting a visibility analysis on a set of keywords related to artificial intelligence in digital media outlets. The data is sourced from a sample of European, British, and American media outlets, specifically the top five ranked media in the SCImago Media Rankings (SMR) of European countries with populations exceeding ten million, along with the United Kingdom and the United States.

Between January and March 2021, the Google keyword search with the highest search growth on YouTube.com compared to the previous year was "youtube bhm," in honor of Black History Month, which is celebrated every year in the United States in the month of February. For the occasion, the platform changed its logo to feature the acronym BHM in orange, red, and blue. Searches of "youtube bhm" keyword grew by 706 thousand percent year-over-year.

Harness the power of Serpstat's Google Keyword Data Scraping API to gather valuable insights into keyword metrics. Our API provides real-time access to essential data, including current local search volume, historical search volume for the previous twelve months, CPC, and Google Ads competition for each input keyword.

With our API, you can seamlessly integrate keyword data scraping functionality into your applications or platforms, enabling you to make informed decisions and optimize your SEO and marketing strategies effectively. Gain access to comprehensive data for all locations, empowering you to tailor your keyword research efforts to specific geographic areas and target audiences.

Whether you're conducting keyword analysis, ad campaign optimization, or content planning, Serpstat's Google Keyword Data Scraping API delivers the insights you need to drive success in today's competitive digital landscape. Unlock the power of real-time data and historical search volume to stay ahead of the curve and achieve your business goals.

The goal of this research is to examine direct answers in Google web search engine. Dataset was collected using Senuto (https://www.senuto.com/). Senuto is as an online tool, that extracts data on websites visibility from Google search engine.

Dataset contains the following elements:

keyword,

number of monthly searches,

featured domain,

featured main domain,

featured position,

featured type,

featured url,

content,

content length.

Dataset with visibility structure has 743 798 keywords that were resulting in SERPs with direct answer.

Analysis of ‘TPS - Jan22 | Google Trends Kaggle search DataSet’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ankitkalauni/tps-jan22-google-trends-kaggle-search-dataset on 28 January 2022.

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

"Kaggle" keyword web search (WorldWide) dataset from the google trends. I am not sure if this is going to help. I searched for Finland, Sweden, and Norway but the data is not enough.

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

Dataset

This dataset was created by Ogan Ozsoy

Released under MIT

Contents

Unlock the potential of Serpstat's Google Keyword API for essential keyword research and content creation tasks. Accessing a vast repository of 7.2 billion keywords across 229 countries, our API facilitates in-depth analysis to enhance SEO strategies and content marketing efforts.

Explore related keywords with similar search intent and uncover valuable insights into search questions and suggestions. This enables you to craft relevant and engaging content that resonates with your target audience.

Our API solution is the most cost-efficient option, starting from just $120 per million API rows. Tailor your queries to extract the most relevant data for your specific use cases, ensuring that you're equipped with the information necessary to drive success in SEO and content creation endeavours.

Reported are the lags that entered the models; in brackets are their coefficient estimate and standard errors (x10-3). Significant lags are in bold.

Results of seasonal Mann-Kendall trend test on the search volume in Google for different topics using different benchmark keywords.