Gain valuable insights with our comprehensive Social Media Dataset, designed to help businesses, marketers, and analysts track trends, monitor engagement, and optimize strategies. This dataset provides structured and reliable social media data from multiple platforms.

Dataset Features

User Profiles: Access public social media profiles, including usernames, bios, follower counts, engagement metrics, and more. Ideal for audience analysis, influencer marketing, and competitive research. Posts & Content: Extract posts, captions, hashtags, media (images/videos), timestamps, and engagement metrics such as likes, shares, and comments. Useful for trend analysis, sentiment tracking, and content strategy optimization. Comments & Interactions: Analyze user interactions, including replies, mentions, and discussions. This data helps brands understand audience sentiment and engagement patterns. Hashtag & Trend Tracking: Monitor trending hashtags, topics, and viral content across platforms to stay ahead of industry trends and consumer interests.

Customizable Subsets for Specific Needs Our Social Media Dataset is fully customizable, allowing you to filter data based on platform, region, keywords, engagement levels, or specific user profiles. Whether you need a broad dataset for market research or a focused subset for brand monitoring, we tailor the dataset to your needs.

Popular Use Cases

Brand Monitoring & Reputation Management: Track brand mentions, customer feedback, and sentiment analysis to manage online reputation effectively. Influencer Marketing & Audience Analysis: Identify key influencers, analyze engagement metrics, and optimize influencer partnerships. Competitive Intelligence: Monitor competitor activity, content performance, and audience engagement to refine marketing strategies. Market Research & Consumer Insights: Analyze social media trends, customer preferences, and emerging topics to inform business decisions. AI & Predictive Analytics: Leverage structured social media data for AI-driven trend forecasting, sentiment analysis, and automated content recommendations.

Whether you're tracking brand sentiment, analyzing audience engagement, or monitoring industry trends, our Social Media Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

📊 Social Media Post Engagement Dataset 🔍 Overview

This dataset contains synthetic yet realistic social media post engagement data collected across multiple popular platforms, including Instagram, Facebook, and Twitter. It is designed to support exploratory data analysis (EDA), data visualization, and machine learning experiments related to content performance and user interaction behavior.

The dataset simulates real-world engagement dynamics observed on social media platforms, making it especially suitable for educational projects, portfolio development, and model prototyping.

📁 Dataset Structure and Features

Each row in the dataset represents a single social media post and includes the following attributes:

Platform – The social media platform where the post was published (Instagram, Facebook, Twitter)

Post Type – Type of content shared (Image, Video, Text)

Post Length – Length or size of the post content

Views – Number of times the post was viewed

Likes – Number of likes received by the post

Comments – Number of comments received

Shares – Number of times the post was shared

Engagement Rate – A normalized engagement metric calculated as: (Likes + Comments + Shares) / Views

This structure allows both basic statistical analysis and advanced feature engineering.

🎯 Intended Use Cases

This dataset can be effectively used for:

Exploratory Data Analysis (EDA)

Social media performance benchmarking

Engagement rate comparison across platforms

Content type effectiveness analysis

Feature engineering and predictive modeling

Machine learning pipeline testing

Data visualization and storytelling

🧪 Data Generation Methodology

The data in this dataset is fully synthetic and generated using probabilistic rules inspired by commonly observed social media engagement patterns. It does not contain any real user data, personal information, or proprietary content.

This ensures:

Compliance with data privacy standards

Ethical and safe usage

Freedom to use the data for any analytical or educational purpose

📌 Notes and Additional Information

The dataset is suitable for beginner to intermediate data science practitioners.

It can be easily extended with additional features such as time-based metrics or follower counts.

The dataset is released under the CC0 (Public Domain) license, allowing unrestricted use.

Feedback, suggestions, and contributions are welcome.

⭐ Why This Dataset?

Many real-world social media datasets are restricted due to privacy concerns. This dataset provides a clean, accessible, and realistic alternative for practicing social media analytics without legal or ethical limitations.

📌 Tip: Pairing this dataset with an EDA notebook significantly improves its visibility and usefulness on Kaggle.

These are the key social media statistics that you need to know.

Between 2019, and 2024, global social media advertising spending skyrocketed by 140%, surpassing an estimated $230 billion in the latter year.

How many people use social media? Social media usage is one of the most popular online activities. In 2025, over *** billion people were estimated to be using social media worldwide, a number projected to increase to over *** billion in 2030. Who uses social media? Social networking is one of the most popular digital activities worldwide, and it is no surprise that social networking penetration across all regions is constantly increasing. As of January 2023, the global social media usage rate stood at ** percent. This figure is anticipated to grow as less developed digital markets catch up with other regions when it comes to infrastructure development and the availability of cheap mobile devices. In fact, most of social media’s global growth is driven by the increasing usage of mobile devices. The mobile-first market of Eastern Asia topped the global ranking of mobile social networking penetration, followed by established digital powerhouses such as the Americas and Northern Europe. How much time do people spend on social media? Social media is an integral part of daily internet usage. On average, internet users spend *** minutes per day on social media and messaging apps, an increase of ** minutes since 2015. On average, internet users in Latin America had the highest average time spent per day on social media. What are the most popular social media platforms? Market leader Facebook was the first social network to surpass *** billion registered accounts and currently boasts approximately *** billion monthly active users, making it the most popular social network worldwide. In June 2023, the top social media apps in the Apple App Store included mobile messaging apps WhatsApp and Telegram Messenger, as well as the ever-popular app version of Facebook.

Market leader Facebook was the first social network to surpass one billion registered accounts and currently sits at more than three billion monthly active users. Meta Platforms owns four of the biggest social media platforms, all with more than one billion monthly active users each: Facebook (core platform), WhatsApp, Messenger, and Instagram. In the third quarter of 2023, Facebook reported around four billion monthly core Family product users. The United States and China account for the most high-profile social platforms Most top-ranked social networks with more than 100 million users originated in the United States, but services like Chinese social networks WeChat, QQ, or video-sharing app Douyin have also garnered mainstream appeal in their respective regions due to local context and content. Douyin’s popularity has led to the platform releasing an international version of its network, TikTok. How many people use social media? The leading social networks are usually available in multiple languages and enable users to connect with friends or people across geographical, political, or economic borders. In 2025, social networking sites are estimated to reach 5.44 billion users, and these figures are still expected to grow as mobile device usage and mobile social networks increasingly gain traction in previously underserved markets.

This dataset provides detailed rankings and key metrics for 100+ social media platforms and sites in 2025. It includes information such as user base, popularity trends, and global reach. Ideal for analyzing social media growth, user engagement, and market trends. Whether you're a data scientist, marketer, or researcher, this dataset offers valuable insights into the evolving digital landscape.

This dataset provides a comprehensive and diverse snapshot of social media users and their engagements across various popular platforms such as Instagram, Twitter, Facebook, YouTube, Pinterest, TikTok, and Spotify. With 100 rows of anonymized data, it offers valuable insights into the dynamic world of social media usage. 😀

Each row in the dataset represents a unique user with a designated User ID and Username to ensure anonymity. Alongside user-specific details, the dataset captures essential information, including the platform being used, the post's content, timestamp, and media type (text, image, or video). Additionally, it tracks engagement metrics such as likes, comments, shares/retweets, and user interactions, providing an overview of the user's popularity and social impact. 💬

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The dataset also includes pertinent user attributes, such as account creation date, privacy settings, number of followers, and following. The users' profiles are further enriched with demographic characteristics, including anonymized representations of their age group and gender. 🗨️

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Hashtags, mentions, media URLs, post URLs, and self-reported location contribute to understanding user interests, content themes, and geographic distribution. Moreover, users' bios and language preferences offer insights into their passions, activities, and linguistic communication on the platforms.

Monthly Top 50 Social Media Accounts Dataset

This dataset contains monthly records of the top 50 accounts or channels from various social media platforms, including TikTok, YouTube, Instagram, and Twitter. The data is obtained by scraping the relevant information from the respective Wikipedia pages using web scraping techniques.

Scraping Process

The scraping process involves sending HTTP requests to the Wikipedia pages using the Python requests library. The BeautifulSoup library is then used to parse the HTML content and extract the relevant data from the tables. The scraped data is then processed and compiled into CSV files using the pandas library.

Content

The dataset includes the following information for each social media platform:

Instagram

• Rank: The rank of the account within the top 50.
• Username: The username or handle of the account.
• Owner: The owner or celebrity associated with the account.
• Followers (millions): The number of followers the account has.
• Profession/Activity: The profession or activity associated with the account.
• Country: The country of origin or association.

TikTok

• Rank: The rank of the account within the top 50.
• Username: The username or handle of the account.
• Owner: The owner or celebrity associated with the account.
• Followers (millions): The number of followers the account has.
• Likes (billions): The number of likes received by the account.
• Description: A brief description of the account.
• Country: The country of origin or association.

YouTube

• Rank: The rank of the channel within the top 50.
• Name: The name of the channel.
• Link: The link to the channel.
• Subscribers (millions): The number of subscribers the channel has.
• Primary language: The primary language used in the channel's content.
• Category: The category or genre of the channel.
• Country: The country of origin or association.

Twitter

• Rank: The rank of the account within the top 50.
• Username: The username or handle of the account.
• Owner: The owner or celebrity associated with the account.
• Followers (millions): The number of followers the account has.
• Description: A brief description of the account.
• Country: The country of origin or association.

Updates

The dataset is updated monthly on the 3rd of each month to provide the latest rankings, follower/subscriber counts, likes, and other relevant information for the top 50 accounts or channels on each platform.

Usage

This dataset can be used for various purposes, such as:

• Analyzing trends and changes in the popularity and growth of social media accounts or channels over time.
• Comparing the performance and engagement of accounts or channels across different platforms.
• Conducting research on the influence and impact of social media accounts or channels in different countries and industries.

Acknowledgements

The data in this dataset is obtained from the Wikipedia pages of the respective social media platforms:

• TikTok: List of most-followed TikTok accounts
• YouTube: List of most-subscribed YouTube channels
• Instagram: List of most-followed Instagram accounts
• Twitter: List of most-followed Twitter accounts

Author: amyrmahdy

Date: 3 Jul 2023

Which countries spent the most and least time on social media?

I’ve compiled a list of the latest social media user statistics showing just how big social media has become and where it’s likely to go in the future.

A mapping of social media goals to the metrics used to measure them.

A line chart that shows % of U.S. adults who say they ever use …

Social Media Engagement Levels for YouTube Tweets

Analyzing Likes, Retweets, and Conversations

By Twitter [source]

About this dataset

This dataset offers an exciting opportunity to explore how YouTube tweets and videos influence social media engagement. Through a comprehensive examination of likes, retweets, and quote counts across various topics or categories of videos, researchers can gain valuable insight into users’ reactions to content from popular YouTube channels. By collecting data on the level of conversations, this dataset will enable researchers to measure the success of YouTube's marketing efforts – along with those of its competitors – in driving viewer engagement. Further research could reveal patterns related to the demographic makeup of viewers across age groups and locations that have higher levels of conversation when responding to posted tweets. Investigating these patterns could be crucial in creating more effective strategies for interacting with potential consumers on social media platforms

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

How to Use this Dataset

1. Analyze Conversation Patterns – Researchers can utilize the tweets and conversation metrics in this dataset to analyze the different conversation patterns related to each topic or video category discussed on YouTube. This includes topics such as politics, sports, music, and more. Through analyzing these conversations, researchers can gain an understanding of what drives engagement with YouTube videos and how they may be used as a platform for further marketing campaigns.

2. Measure Engagement Levels – This dataset contains metrics that allow users to measure overall engagement levels for different topics of Twitter conversations in relation to YouTube content. By studying these metrics, researchers are able to compare the level of engagement that different types of content receive on various social media platforms such as Twitter.

3. Assess Marketing Strategies Effectiveness –Researchers can use this data set to assess how effective various marketing strategies are by looking at like counts, retweet counts and quote counts for particular campaigns or categories of YouTube contents . In addition , research could be conducted on specific marketing campaigns in areas where companies wish optimize their success rates such as increasing clicks or viewer retention rates .

4. Compare Engagement Across Platforms-The data contained within this dataset allows users compare engagement levels across other social media channels such as Facebook and Instagram in order learn which ones drive higher levels of engagement when it comes promoting content on YouTube or creating conversations around certain topics

Research Ideas

• Studying the correlation between YouTube content categories and levels of engagement, in order to identify which types of videos/topics have higher engagement rates.

• Assessing patterns in likes, retweets and conversations in response to different topics or categories of videos related to YouTube content, in order to gain an understanding of the type of content that typically receives the most conversation.

• Tracking changes in engagement levels over time for different topics or channels on YouTube, such as popular channels or videos with high view counts, in order to measure the overall effectiveness of YouTube's marketing campaigns across social media platforms

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Twitter.

Social media platform statistics for 2026: user counts, engagement rates, ad spend, and platform growth trends.

This machine-generated dataset simulates social media engagement data across various metrics, including likes, shares, comments, impressions, sentiment scores, toxicity, and engagement growth. It is designed for analysis and visualization of trends, buzz frequency, public sentiment, and user behavior on digital platforms.

The dataset can be used to:

Identify spikes or drops in engagement

Analyze changes in sentiment over time

Build dashboards for digital trend tracking

Test algorithms for sentiment analysis or trend prediction

It is estimated that, as of early 2025, there were around 3.2 billion social media users in Asia. Overall, approximately 1.3 billion of these social media users were located in Eastern Asia and 1.1 billion in Southern Asia. In the Americas, there were 856 million users of social networks, and in Europe, 731 million.

Discover key social media statistics, including user growth, platform trends, engagement rates, demographics, and usage patterns!

In the first quarter of 2021, the Match Group's number of paid member count amounted to more than 11 million subscribers, up from the 10.9 million of the previous quarter. Match Group, formerly owned by IAC, owns and operates online dating platforms such as the eponymous Match.com, OkCupid, Tinder, PlentyofFish and others. Since the second quarter of 2021, Match Group paid users count includes all users who purchased the company's products, including those who make only à la carte purchases.

The number of LinkedIn users in the United States was forecast to continuously increase between 2024 and 2028 by in total 10.4 million users (+5.23 percent). After the ninth consecutive increasing year, the LinkedIn user base is estimated to reach 209.26 million users and therefore a new peak in 2028. Notably, the number of LinkedIn users of was continuously increasing over the past years.User figures, shown here with regards to the platform LinkedIn, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of LinkedIn users in countries like Canada and Mexico.