"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 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.

In the year 2024, approximately 1500 monthly searches were conducted on Google for Indian online grocery stores. Then came Asian online supermarkets, which saw 1200 searches per month.

You can check the fields description in the documentation: current Full database: https://docs.dataforseo.com/v3/databases/google/full/?bash; Historical Full database: https://docs.dataforseo.com/v3/databases/google/history/full/?bash.

Full Google Database is a combination of the Advanced Google SERP Database and Google Keyword Database.

Google SERP Database offers millions of SERPs collected in 67 regions with most of Google’s advanced SERP features, including featured snippets, knowledge graphs, people also ask sections, top stories, and more.

Google Keyword Database encompasses billions of search terms enriched with related Google Ads data: search volume trends, CPC, competition, and more.

This database is available in JSON format only.

You don’t have to download fresh data dumps in JSON – 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.

Den Blå Avis (DBA) is Denmark's largest online marketplace. In 2023, "micro machines" was the keyword experiencing the highest online search growth on dba.dk, compared to the previous year. Searches of the "micro machines" keyword grew by 1,856 percent year-over-year.

The size and share of the market is categorized based on Type (Web Based, Cloud Based) and Application (SMEs, Large Enterprises) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

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.

Dive into Serpstat's Search Trends Data, a dynamic dataset capturing the pulse of emerging search trends worldwide. Our continuously updated repository offers a detailed snapshot of trending keywords, along with their associated countries and cities. For each trending keyword, you'll find a comprehensive list of dates showcasing when it maintained its trending status, providing valuable insights into the trend's duration and frequency.

Track the trending length, indicating the number of consecutive days during which a keyword remained in the spotlight, highlighting its sustained popularity. Additionally, monitor the trending width, revealing the number of locations where the keyword is currently trending, giving you a comprehensive understanding of its global reach and impact.

Stay ahead of the curve with our Search Trends Data, equipped with the latest information on trending keywords and their evolving dynamics. Whether you're conducting market research, content planning, or SEO optimization, our dataset empowers you with actionable insights to capitalize on emerging trends and drive success in today's competitive landscape.

As of January 2020, 40 percent of all U.S. online search queries contained two keywords. Three word search terms accounted for 22.74 percent of searches. Queries up to three words accounted for over 80 percent of online searches in the United States.

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.

Between October 2022 and March 2023, the traffic volume for the keyword "AI" has tripled , going from around 7.9 million monthly searches to more than 30.4 million during the last month of the measured period. Interest in artificial intelligence has skyrocketed with the release of ChatGPT in November 2022. Quick adoption of AI-powered tools has already started shaking industries like the online search market with the trend of chatbots providing search results in a dialogue format, known as AI-powered search engines.

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.

SEO Software Market size was valued at USD 274.95 Million in 2024 and is projected to reach USD 790.95 Million by 2031, growing at a CAGR of 14.12% from 2024 to 2031.

Global SEO Software Market Drivers

Growing Importance of Online Presence: As more and more people use the internet and become more digitally literate, companies from all sectors are realizing how critical it is to have a strong online presence. SEO software helps companies become more visible on search engines, increasing brand awareness and bringing in organic traffic to their websites.

Updates to Search Engine Algorithms: In order to provide consumers with more relevant and superior search results, search engines such as Google regularly improve their algorithms. The need for SEO software, which enables companies to modify their tactics to satisfy the most recent search engine standards and preserve or raise their search ranks, is being driven by these algorithm changes.

Increasing Rivalry in Digital Marketing: As more companies engage in digital marketing, there is growing rivalry for online exposure and search engine results. In order to stay ahead of the competition, firms can use the tools and analytics provided by SEO software to analyze their rivals, spot possibilities, and improve their SEO tactics.

Concentrate on material Marketing: Since relevant, high-quality material is necessary to draw in and hold the attention of readers, content marketing is an important component of SEO. In order to help organizations generate and optimize content that appeals to their target audience, SEO software frequently includes capabilities for keyword research, content optimization, and content performance tracking.

Mobile Search Optimization: As more people browse the internet on mobile devices, businesses are placing a premium on mobile search optimization. In order to guarantee a flawless user experience and higher search ranks on mobile search results pages, SEO software provides tools and insights to optimize websites for mobile devices.

Data-driven Decision Making: SEO software gives organizations access to insightful statistics and data that help them decide on the best SEO tactics. SEO software helps organizations to assess success, spot trends, and improve their SEO strategies for greater outcomes. It does this through keyword analysis, backlink monitoring, and performance tracking, among other features.

Concentrate on Local SEO: Local SEO is crucial for drawing clients in certain regions for companies that serve local markets or have a physical presence. To assist businesses become more visible in local search results, SEO software frequently includes capabilities for local keyword research, citation management, and local business listing optimization.

Success.ai’s Online Search Trends Data API empowers businesses, marketers, and product teams to stay ahead by monitoring real-time online search behaviors of over 700 million users worldwide. By tapping into continuously updated, AI-validated data, you can track evolving consumer interests, pinpoint emerging keywords, and better understand buyer intent.

This intelligence allows you to refine product positioning, anticipate market shifts, and deliver hyper-relevant campaigns. Backed by our Best Price Guarantee, Success.ai’s solution provides the valuable insight needed to outpace competitors, adapt to changing market dynamics, and consistently meet consumer expectations.

Why Choose Success.ai’s Online Search Trends Data API?

1. Real-Time Global Insights

   • Leverage up-to-the-minute search data from users spanning all major industries, regions, and demographics.
   • Confidently tailor campaigns, content, and product roadmaps to match dynamic consumer interests and seasonality.

2. AI-Validated Accuracy

   • Rely on 99% data accuracy through AI-driven validation, reducing guesswork and improving conversion rates.
   • Make data-driven decisions supported by credible, continuously refreshed intelligence.

3. Continuous Data Updates

   • Stay aligned with changing market conditions, competitor moves, and evolving consumer behaviors as they happen.
   • Adapt swiftly to shifting trends, product demands, and industry developments, maintaining long-term relevance.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible data usage and brand protection.

Data Highlights:

• 700M+ Global User Insights: Access search trends, queries, and user behaviors for unparalleled audience understanding.
• Real-Time Updates: Maintain agility in content creation, product development, and marketing strategies.
• AI-Validated Accuracy: Trust in high-fidelity data to inform critical decisions, reducing wasted investments.
• Best Price Guarantee: Maximize ROI by accessing premium-quality data at unbeatable value.

Key Features of the Online Search Trends Data API:

1. On-Demand Trend Analysis

   • Query the API to identify emerging keywords, popular topics, and changing consumer priorities.
   • React rapidly to new opportunities, delivering content and offers that resonate with current market interests.

2. Advanced Filtering and Segmentation

   • Filter by region, industry vertical, time frames, or user attributes.
   • Focus on audiences and themes most relevant to your strategic goals, improving campaign performance and message relevance.

3. Real-Time Validation and Reliability

   • Benefit from AI-driven validation to ensure data integrity and accuracy.
   • Reduce risk, optimize resource allocation, and confidently direct initiatives supported by up-to-date, trustworthy data.

4. Scalable and Flexible Integration

   • Easily integrate the API into existing marketing automation platforms, analytics tools, or product management software.
   • Adjust parameters as goals evolve, ensuring long-term flexibility and alignment with strategic objectives.

Strategic Use Cases:

1. Product Development and Innovation

   • Identify rising user interests, unmet needs, or competitive gaps by analyzing search trends.
   • Shape product features, enhancements, or entirely new offerings based on verified consumer demand.

2. Content Marketing and SEO

   • Uncover trending topics, popular keywords, and seasonal interests to produce relevant content.
   • Improve organic reach, engagement, and lead generation by meeting users at the intersection of their search intent.

3. Market Entry and Expansion

   • Validate market readiness and user curiosity in new regions or niches.
   • Enter unfamiliar territories or launch product lines confidently, backed by real-time search insights.

4. Advertising and Campaign Optimization

   • Align ad creatives, messaging, and promotions with the most popular search terms.
   • Increase CTRs, conversions, and overall campaign efficiency by resonating more deeply with consumer interests.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access high-quality search trends data at the most competitive prices, ensuring exceptional ROI on data-driven initiatives.

2. Seamless Integration

   • Incorporate the API into your workflow with ease, enhancing productivity and eliminating data silos.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide strategies, refine targeting, and achieve stronger engagement outcomes.

4. Customizable and Scalable Solutions

   • Tailor datasets, filters, and time frames to your evolving market conditions, strategic ambitions, and audience needs.

Additional APIs for Enhanced Functionality:

1. Data Enrichment API
   • Combine search trends data with o...

A dataset of fashion keywords, including their definitions, synonyms, antonyms, search volume and costs.

The "Famous Keyword Twitter Replies Dataset" is a comprehensive collection of Twitter data that focuses on popular keywords and their associated replies. This dataset contains five essential columns that provide valuable insights into the Twitter conversation dynamics:

Keyword: This column represents the specific keyword or topic of interest that generated the original tweet. It helps identify the context or subject matter around which the conversation revolves.

Main_tweet: The main_tweet column contains the original tweet related to the keyword. It serves as the starting point or focal point of the conversation and often provides essential information or opinions on the given topic.

Main_likes: This column provides the number of likes received by the main_tweet. Likes serve as a measure of engagement and indicate the level of popularity or resonance of the original tweet within the Twitter community.

Reply: The reply column consists of the replies or responses to the main_tweet. These replies may include comments, opinions, additional information, or discussions related to the keyword or the original tweet itself. The replies help capture the diverse perspectives and conversations that emerge in response to the main_tweet.

Reply_likes: This column records the number of likes received by each reply. Similar to the main_likes column, the reply_likes column measures the level of engagement and popularity of individual replies. It enables the identification of particularly noteworthy or well-received replies within the dataset.

By analyzing this "Famous Keyword Twitter Replies Dataset," researchers, analysts, and data scientists can gain valuable insights into how popular keywords spark discussions on Twitter and how these discussions evolve through replies.

The dataset's information on likes allows for the evaluation of tweet and reply popularity, helping to identify influential or impactful content.

This dataset serves as a valuable resource for various applications, including sentiment analysis, trend identification, opinion mining, and understanding social media dynamics.

Number of tweets for each pairs of tweet and reply

Total has 17255 pairs of tweet/reply

Co-occurrences of trending keywords in the tech media

Sources

• Gigaom 0.5%
• The conversation 1%
• IEEE Spectrum 1.6%
• Techforge 3.8%
• Fastcompany 4.2%
• The Guardian (Tech) 8.3%
• Arstechnica 8.8%
• Reuters 9.4%
• Venturebeat 14.4%
• ZDNet 15%
• Gizmodo 15.4%
• The Register 17.5%

Methodology

• Exploring the relationship between topics
• Pairs of terms which are mentioned together in media articles
• Most trending social issues have been selected (e.g. 'metoo', 'gdpr')
• The co-occurrence analysis is calculated for pairs consisting of emerging social issues and trending uni/bigrams
• The number of times the terms appear in articles together with a social issue is divided by the number of times the social issue is mentioned across all articles
• A single index is constructed for all word pairs by weighted average (taking into account the prevalence of the given source)

Files

unigram-unigram co-occurrences: cooc11weighted.csv

unigram-bigram co-occurrences: cooc12weighted.csv

bigram-unigram co-occurrences: cooc21weighted.csv

bigram-bigram co-occurrences: cooc22weighted.csv

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.

A Top 20 keywords ranked by strength, B The top 20 frequently co-occurring pairs.

The keyword rank tracking software market is anticipated to witness exponential growth, with a market size valued at XXX million in 2025 and projected to reach XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. The growing demand for comprehensive solutions to monitor and improve search engine rankings, coupled with the increasing adoption of digital marketing strategies, is driving market expansion. Additionally, the advent of cloud-based platforms and advancements in artificial intelligence (AI) are further fueling market growth. Market segmentation plays a crucial role in understanding the dynamics of the keyword rank tracking software market. The market is segmented based on application (SMEs, Large Enterprises), type (Cloud-based, On-premises), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). Key players in the market include SE Ranking, SERPWatcher by Mangools, Nightwatch, SEMrush, Wincher, SEO PowerSuite, Advanced Web Ranking, AccuRanker, Authority Labs, Serpstat, Labrika, Google Search Console, Whitespark, Rank Tracker, Raven Tools, Morningscore, RankWatch, Keyword Revealer, WebCEO, SpyFu, Diib, and many others. These companies are constantly innovating and expanding their offerings to cater to the evolving needs of businesses seeking to enhance their online visibility.