OpenWeb Ninja's Google Images Data (Google SERP Data) API provides real-time image search capabilities for images sourced from all public sources on the web.

The API enables you to search and access more than 100 billion images from across the web including advanced filtering capabilities as supported by Google Advanced Image Search. The API provides Google Images Data (Google SERP Data) including details such as image URL, title, size information, thumbnail, source information, and more data points. The API supports advanced filtering and options such as file type, image color, usage rights, creation time, and more. In addition, any Advanced Google Search operators can be used with the API.

OpenWeb Ninja's Google Images Data & Google SERP Data API common use cases:

• Creative Media Production: Enhance digital content with a vast array of real-time images, ensuring engaging and brand-aligned visuals for blogs, social media, and advertising.

• AI Model Enhancement: Train and refine AI models with diverse, annotated images, improving object recognition and image classification accuracy.

• Trend Analysis: Identify emerging market trends and consumer preferences through real-time visual data, enabling proactive business decisions.

• Innovative Product Design: Inspire product innovation by exploring current design trends and competitor products, ensuring market-relevant offerings.

• Advanced Search Optimization: Improve search engines and applications with enriched image datasets, providing users with accurate, relevant, and visually appealing search results.

OpenWeb Ninja's Annotated Imagery Data & Google SERP Data Stats & Capabilities:

• 100B+ Images: Access an extensive database of over 100 billion images.

• Images Data from all Public Sources (Google SERP Data): Benefit from a comprehensive aggregation of image data from various public websites, ensuring a wide range of sources and perspectives.

• Extensive Search and Filtering Capabilities: Utilize advanced search operators and filters to refine image searches by file type, color, usage rights, creation time, and more, making it easy to find exactly what you need.

• Rich Data Points: Each image comes with more than 10 data points, including URL, title (annotation), size information, thumbnail, and source information, providing a detailed context for each image.

500k User Session Collection This collection is distributed for NON-COMMERCIAL RESEARCH USE ONLY. Any application of this collection for commercial purposes is STRICTLY PROHIBITED. #### Brief description: This collection consists of ~20M web queries collected from ~650k users over three months. The data is sorted by anonymous user ID and sequentially arranged. The goal of this collection is to provide real query log data that is based on real users. It could be used for personalization, query reformulation or other types of search research. The data set includes AnonID, Query, QueryTime, ItemRank, ClickURL. AnonID - an anonymous user ID number. Query - the query issued by the user, case shifted with most punctuation removed. QueryTime - the time at which the query was submitted for search. ItemRank - if the user clicked on a search result, the rank of the item on which they clicked is listed. ClickURL - if the user clicked on a search result, the domain portion of the URL i

Real-time API access to rich Google Images Data (Google SERP Data) with 100B+ images sourced from Google Images - the largest image index on the web.

The Reddit Subreddit Dataset by Dataplex offers a comprehensive and detailed view of Reddit’s vast ecosystem, now enhanced with appended AI-generated columns that provide additional insights and categorization. This dataset includes data from over 2.1 million subreddits, making it an invaluable resource for a wide range of analytical applications, from social media analysis to market research.

Dataset Overview:

This dataset includes detailed information on subreddit activities, user interactions, post frequency, comment data, and more. The inclusion of AI-generated columns adds an extra layer of analysis, offering sentiment analysis, topic categorization, and predictive insights that help users better understand the dynamics of each subreddit.

2.1 Million Subreddits with Enhanced AI Insights: The dataset covers over 2.1 million subreddits and now includes AI-enhanced columns that provide: - Sentiment Analysis: AI-driven sentiment scores for posts and comments, allowing users to gauge community mood and reactions. - Topic Categorization: Automated categorization of subreddit content into relevant topics, making it easier to filter and analyze specific types of discussions. - Predictive Insights: AI models that predict trends, content virality, and user engagement, helping users anticipate future developments within subreddits.

Sourced Directly from Reddit:

All social media data in this dataset is sourced directly from Reddit, ensuring accuracy and authenticity. The dataset is updated regularly, reflecting the latest trends and user interactions on the platform. This ensures that users have access to the most current and relevant data for their analyses.

Key Features:

• Subreddit Metrics: Detailed data on subreddit activity, including the number of posts, comments, votes, and user participation.
• User Engagement: Insights into how users interact with content, including comment threads, upvotes/downvotes, and participation rates.
• Trending Topics: Track emerging trends and viral content across the platform, helping you stay ahead of the curve in understanding social media dynamics.
• AI-Enhanced Analysis: Utilize AI-generated columns for sentiment analysis, topic categorization, and predictive insights, providing a deeper understanding of the data.

Use Cases:

• Social Media Analysis: Researchers and analysts can use this dataset to study online behavior, track the spread of information, and understand how content resonates with different audiences.
• Market Research: Marketers can leverage the dataset to identify target audiences, understand consumer preferences, and tailor campaigns to specific communities.
• Content Strategy: Content creators and strategists can use insights from the dataset to craft content that aligns with trending topics and user interests, maximizing engagement.
• Academic Research: Academics can explore the dynamics of online communities, studying everything from the spread of misinformation to the formation of online subcultures.

Data Quality and Reliability:

The Reddit Subreddit Dataset emphasizes data quality and reliability. Each record is carefully compiled from Reddit’s vast database, ensuring that the information is both accurate and up-to-date. The AI-generated columns further enhance the dataset's value, providing automated insights that help users quickly identify key trends and sentiments.

Integration and Usability:

The dataset is provided in a format that is compatible with most data analysis tools and platforms, making it easy to integrate into existing workflows. Users can quickly import, analyze, and utilize the data for various applications, from market research to academic studies.

User-Friendly Structure and Metadata:

The data is organized for easy navigation and analysis, with metadata files included to help users identify relevant subreddits and data points. The AI-enhanced columns are clearly labeled and structured, allowing users to efficiently incorporate these insights into their analyses.

Ideal For:

• Data Analysts: Conduct in-depth analyses of subreddit trends, user engagement, and content virality. The dataset’s extensive coverage and AI-enhanced insights make it an invaluable tool for data-driven research.
• Marketers: Use the dataset to better understand your target audience, tailor campaigns to specific interests, and track the effectiveness of marketing efforts across Reddit.
• Researchers: Explore the social dynamics of online communities, analyze the spread of ideas and information, and study the impact of digital media on public discourse, all while leveraging AI-generated insights.

This dataset is an essential resource for anyone looking to understand the intricacies of Reddit's vast ecosystem, offering the data and AI-enhanced insights needed to drive informed decisions and strategies across various fields. Whether you’re tracking emerging trends, analyzing user behavior, or conduc...

jangkimo/searchdata dataset hosted on Hugging Face and contributed by the HF Datasets community

Per the requirements in the settlement to Federal Case 17-CV-234-JPS the Milwaukee Fire and Police Commission (FPC) is required to publish particular stop and search encounter data in compliance with Sec. IV(A)(10-13).

MPD stands for Milwaukee Police Department

To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page.

This data release contains two tables of information on polar bear distributions in the southern Beaufort Sea during spring, from 2001 to 2016. One table provides location (classified into 5 broad regions) of individual bears during the spring. The other table presents the aerial search effort by year and area.

Success.ai's Web and Search Trends Intent Data equips businesses with the cutting-edge capability to track and analyze online behaviors and search engine data effectively. This service is essential for understanding current market trends, optimizing advertising strategies, and enhancing B2B marketing efforts. By capturing and analyzing data from across the web, including search engine behaviors and purchase intent signals, Success.ai offers invaluable insights that can drastically improve your strategic outcomes.

Harness the Power of Web Search Data: Gain access to vast amounts of web search data to understand what your potential customers are searching for and how they interact with the web. This information is crucial for refining SEO strategies, improving website content, and creating more engaging user experiences.

Advanced Analysis of Online Search Trends: Stay ahead of the competition by leveraging detailed insights into online search trends. Success.ai helps you identify emerging trends, monitor industry movements, and anticipate market changes with precision.

Drive Marketing and Advertising Success: Utilize detailed search trend data to tailor your marketing and advertising campaigns. By understanding the specific interests and needs of your target audience, you can create more effective campaigns that resonate with potential customers and result in higher conversion rates.

B2B Intent Data to Fuel Sales Strategies: Our B2B intent data provides a deep dive into the purchase intentions of businesses, helping sales teams prioritize leads that show a high likelihood of conversion. This targeted approach ensures that your sales efforts are focused and efficient.

Key Benefits of Choosing Success.ai:

• Comprehensive Coverage: Access detailed data across 15k topics in various sectors and regions, ensuring no opportunity is missed.
• Real-Time Insights: Receive up-to-the-minute data on web and search trends, keeping your business agile and informed.
• High Accuracy and Reliability: Trust in our data’s accuracy, which is backed by sophisticated AI algorithms and a rigorous validation process.
• Ethically Sourced and Compliant Data: All data is collected and processed in strict adherence to global data protection regulations, ensuring ethical compliance.
• Customizable Solutions: Tailor your data feed to suit specific business needs, whether it’s for a comprehensive market analysis or targeted advertising campaigns.

Use Cases for Success.ai's Web Search and Intent Data:

• Competitive Intelligence: Gain a competitive edge by understanding the strategies and movements of your competitors.
• Marketing Optimization: Align your marketing efforts with the latest trends to maximize ROI.
• Effective Advertising: Enhance the relevance and impact of your ad campaigns by targeting based on current search trends.
• B2B Marketing: Leverage specific B2B data to fine-tune your marketing strategies aimed at other businesses.
• Email Marketing: Use search trend insights to create more compelling and relevant email content that drives engagement.

Get started with Success.ai today to leverage our advanced web and search trends intent data, and take your business to new heights with insights that drive real results.

Contact us now to learn more about our services and how we can help you capitalize on the latest online trends, for the best possible price.

Monitor search trends and consumer behavior with Success.ai’s Online Search Trends Data API. Access insights from 700M+ users to align products and marketing. Ideal for marketers anticipating market needs. Best price guaranteed!

Number of models with Google data out of the Top 100 models according to the RMSE.

The Reddit data dataset offers social media data tracking 2.1+ million subreddits with daily subscriber counts since January 2023. We also leverage AI to append subreddit attributes, allowing you to categorize and find subreddits by subject.

Data from the Interactive Social Book Search Track Series 2014-2016

DataForSEO will land you with accurate data for a SERP monitoring solution. In particular, our SERP API provides data from:

• Google Organic search, Maps, News, and Images tabs in vertical search
• Bing Organic and Local Pack search
• Yahoo, Yandex, Baidu, and Naver search

For each of the search engines, we support all possible locations. You can set any keyword, location, and language, as well as define additional parameters, e.g. time frame, category, number of results.

You can set the device and the OS that you want to obtain SERP results for. We support Android/iOS for mobile and Windows/macOS for desktop.

We can supply you with all organic, paid, and extra Google SERP elements, including featured snippet, answer box, knowledge graph, local pack, map, people also ask, people also search, and more.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

Our clickstream data offers unparalleled access to a vast array of global datasets, capturing user interactions across websites, apps, and digital platforms worldwide. With coverage spanning multiple industries and geographies, our data provides detailed insights into consumer behavior, online trends, and digital engagement patterns.

Whether you're analyzing traffic flows, identifying audience interests, or tracking competitive performance, our clickstream datasets deliver the scale and granularity needed to inform strategic decisions. Updated regularly to ensure accuracy and relevance, this robust resource empowers businesses to uncover actionable insights and stay ahead in a dynamic digital landscape.

Fast and Reliable real-time API access to global public event data from Google Events - the largest public event data aggregate on the web. The API provides data for local/physical events and online/virtual events.

Per the requirements in the settlement to Federal Case 17-CV-234-JPS the Milwaukee Fire and Police Commission (FPC) is required to publish particular stop and search encounter data in compliance with Sec. IV(A)(10-13).

MPD stands for Milwaukee Police Department

To download XML and JSON files, click the CSV option below and click the down arrow next to the Download button in the upper right on its page.

Global Google Trends Internet Search Data 2022 to 2024 [RSVs] for fasting, diet, nutrition, liver, GLP-1 RAs

Number of nowcasting and forecasting models selected in the MCS at the 90% confidence level, using the statistic and the MSE loss function, as well as number of selected Google based models.

Big search data offers the opportunity to identify new and potentially real-time measures and predictors of important political, geographic, social, cultural, economic, and epidemiological phe-nomena, measures that might serve an important role as leading indicators in forecasts and now-casts. However, it also presents vast new risks that scientists or the public will identify meaningless and totally spurious ‘relationships’ between variables. This study is the first to quantify that risk in the context of search data. We find that spurious correlations arise at exceptionally high frequencies for variables following gamma and spatially auto-correlated distributions, and random walks. Quantifying these spurious correlations and their likely magnitude for various distributions has value for several reasons. First, analysts can make progress towards accurate inference. Second, they can avoid unwarranted credulity. Third, they can demand appropriate disclosure from study authors.

Regression of categories on subjective well-being data–life evaluation and positive affects (state level).