This data was scraped from https://romonitorstats.com/ using a Python script.

Rank: Rank of the game on the leaderboard, based on total current players.

Name: Name of the game on Roblox.

Active: How many active players were recorded as currently playing the game.

Visits: How many total visits (playthroughs) the game has.

Favourites: How many people favourited the game.

Likes: How many likes the game has received.

Dislikes: How many dislikes the game has received.

Rating: The like-to-dislike ratio of the game.

As of the second quarter of 2025, gaming company Roblox Corporation had over 111.8 million daily active users of Roblox games worldwide. This figure represents a 41 percent increase from the corresponding quarter of the previous year. Roblox DAU has grown significantly since the beginning of 2020, when the global COVID-19 pandemic started to spread. Since then, the company has managed to retain and even increase its newly won audiences. Who are the Roblox users? Due to its colorful look and popularity among young gaming audiences, Roblox is often perceived as being just for children. Up until mid-2021, this was correct, as up until that point, the majority of Roblox gamers were aged 13 years or under. However, as of the first quarter of 2025, about 61 million Roblox gamers are aged 13 years or above, compared to 29.7 million younger users. According to the company, Roblox’s fastest-growing demographic are users aged 17 to 24 years, highlighting the platform’s efforts in attracting a wider audience. Building a Roblox for the future... is easier said than done Roblox generates nearly all of its revenues via sales of its own digital currency, Robux. The aging up of its audience is a vital factor in Roblox’s continued monetization strategy, as children under 13 years are not an addressable ad audience. Subsequently, in order to expand its advertising business to diversify its revenue streams, Roblox needs a bigger addressable ad audience. This is particularly relevant in context with Roblox’s metaverse ambitions which aim to foster stronger relationships with brands in the digital advertising space.However, by trying to tap into older gaming audiences, Roblox puts itself into direct competition with other online gaming developers that focus on the 13+ audience. Additionally, the company has been criticized for insufficient content moderation and user safety features, which have led to users experiencing inappropriate content or in-game harassment on the Roblox gaming platform.

ROBLOX player activity dataset from MMO Populations, combining monthly enhanced players and 30-day daily estimates generated from public signals.

Roblox Games Dataset 📊🎮

9,734 rows x 16 columns

You can implementation given in the GitHub to webscrape a current version. See the commit history to see other implementation. This dataset contains detailed information about 9,734 Roblox games, including their creators, popularity metrics, genres, and additional metadata. The data was web-scraped using C#, and you can find the full implementation along with commit history on GitHub (link below).

📌 Dataset Features

1. Title – Name of the game
2. Creator – The developer or studio behind the game
3. AgeRecommendation – Roblox's suggested age rating
4. Active Players – Current number of active players
5. Favorites – Number of users who favorited the game
6. Visits – Total lifetime visits (in millions or billions)
7. Voice Chat – Whether voice chat is supported
8. Camera – Camera settings support
9. Created & Updated – Creation and last update date
10. Server Size – Size of the server
11. Genre – Game genre (if available)
12. Likes & Dislikes – Community feedback metrics
13. Game Link – Direct link to the game
14. DateFetched – When the data was collected

🔧 Data Collection Process

The data was collected through web scraping using C#. The implementation can be found on GitHub, where you can explore the commit history to see different iterations and improvements of the web scraper.

🔗 GitHub Repository

https://github.com/jansencruz23/roblox-webscraper-csharp

📌 Potential Uses

• Analyzing game popularity trends
• Identifying top-performing game genres
• Examining the impact of voice chat on engagement
• Comparing game update frequency with popularity
• Predict game popularity

If you have any questions or suggestions, feel free to leave a comment! 🚀

The "Roblox Stock Price Dataset (2021-2023)" curated by Arslan provides comprehensive daily trading data for Roblox Corporation's stock from its initial public offering (IPO) date on March 10, 2021, until June 19, 2023. The dataset was extracted from Yahoo Finance, a reputable financial platform.

Roblox Corporation, founded by David Baszucki and Erik Cassel, originated from their previous venture, Knowledge Revolution, an educational software company. They established Roblox Corporation in 2004, starting with the development of the game DynaBlocks, later renamed Roblox, and officially released on September 1, 2006. Since then, Roblox has grown to become a prominent player in the gaming industry.

The dataset contains key stock market indicators such as the opening price, closing price, highest price, lowest price, and trading volume for each trading day. The data is organized chronologically, enabling users to analyze the stock's performance, track trends, and gain insights into Roblox Corporation's market value over the specified period.

Please note that the dataset includes data until June 19, 2023. Researchers, investors, and analysts can utilize this dataset to perform various quantitative analyses, evaluate investment strategies, and explore the historical performance of Roblox stock. By leveraging this comprehensive dataset, stakeholders can uncover valuable patterns, trends, and correlations to make informed decisions within the context of the dynamic and evolving Roblox Corporation and the stock market at large.

Indonesian Chat Dataset, including around 10,702 meticulously edited chats among users of Roblox and Minecraft. Certain chats use conventional terminology, while others utilize colloquial expressions. Slang phrases emerged because younger gamers often incorporate them into their regular conversations. The author personally categorizes the chats under four classifications: neutral, violent, racist, and harassing.

Classification details: Neutral: no violent sentences, casual chat without any means to harm someone Violence: swearing sentences, threats, incitement to harm others, or associating people with some animal or creature Racist: discriminate against or demean people based on race, religion, ethnicity, or nationality, including slurs, hate speech, or promoting racial superiority Harassment: porn, sexual abuse words, body shaming, derogation

An example of the dataset's content and the preprocessing methodology is the sentence: “Pada bisa diem ga sih, 4nj1n9 semua,” which translates to “Can you shut up, all of you are dogs,” where numbers substitute certain letters in the word 'dog,' categorized as 'violence.' The preprocessing procedure involves converting the phrase to lowercase, normalizing it by eliminating punctuation, and substituting some numerals with their nearest alphabetic equivalents, for as replacing the numeral 4 with 'a' and 1 with 'i'. The preprocessed sentence is: "pada bisa diem ga sih anjing semua."

Comprehensive YouTube channel statistics for Peter Roblox, featuring 1,000,000 subscribers and 321,584,959 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in US. Track 700 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Comprehensive YouTube channel statistics for Reckless - Roblox, featuring 1,640,000 subscribers and 120,480,304 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in US. Track 129 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Comprehensive YouTube channel statistics for Todd Roblox, featuring 2,990,000 subscribers and 405,413,318 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in PH. Track 378 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Representative applications that can directly collect 5G da-tasets from mobile terminals without using specialized equipment include G-NetTrack Pro and PCAPdroid. The for-mer allows for the monitoring and logging of the header and payload information of the medium access control (MAC) frame passing through the 5G air interface. The latter is an open-source network capture and monitoring tool that works without root privileges, analyzing connections made by ap-plications installed on the user's mobile device. The latter can also dump mobile traffic to PCAP (also known as libpcap) and send it to the well-known Wireshark for further analysis. We created 5G datasets by measuring 5G traffic directly from a major mobile operator in South Korea. The model name of the mobile terminal used for traffic measurement is the Samsung Galaxy A90 5G, and it was equipped with a Qualcomm Snapdragon X50 5G modem. The packet sniffer software used for traffic measurement, PCAPdroid, was in-stalled in the terminal through Google play. Traffic was measured sequentially per application on two stationary ter-minals (only one terminal was used for non-interactive ser-vices) with no background traffic. The collected dataset is representative resource-intensive video traffic that has the greatest impact on 5G network planning and provisioning, and background traffic was not mixed to measure the unique characteristics of each type of traffic. The video streaming dataset includes data directly meas-ured while watching Netflix and Amazon Prime, which are representative over-the-top (OTT) services, on mobile devic-es. The live streaming dataset was measured while watching YouTube Live and South Korea's representative live broad-casts (Naver NOW and Afreeca TV). Video conferencing data were measured by holding an actual meeting on the widely used Zoom, MS Teams, and Google Meet platform. Two types of metaverse traffic were acquired: Zepeto and Roblox. Zepeto traffic was collected while staying in the 'camping world' for 15 hours. Roblox traffic was collected over 25 hours of playing the 'Collect All Pets' game using an auto clicker. We collected two types of mobile network gaming traffic. The first was cloud gaming, an online game setup that runs video games on remote servers and streams them direct-ly to the user's device. The second was a traditional mobile game connected to the Internet. The dataset was collected from May to October 2022, is a massive 328 hours in total, and is provided in the csv file format. The dataset we collected is a timestamp-mapped time series dataset with packet header information, and traffic analysis by application is possible because it includes source and destination addresses. To make it more usable as a traffic source model, Section III describes how to use it as a training dataset for the traffic simulator platform's source generator.

A 5G traffic dataset measured by PCAPdroid has been re-leased and can be used as a training dataset for various ML models. However, since the size of this dataset is very large, it is inconvenient to handle, and additional data preprocessing is required to use it for its intended purpose.

This data set can be used to learn GANs, time-series forcasting deep learning models.

Our implementation is given on GitHub. https://github.com/0913ktg/5G-Traffic-Generator

Comprehensive YouTube channel statistics for Layla Roblox, featuring 12,700,000 subscribers and 5,079,707,490 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in CA. Track 1,670 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Comprehensive YouTube channel statistics for Sunny Unicorn Twin - Roblox, featuring 348,000 subscribers and 22,067,964 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category. Track 388 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.

Comprehensive YouTube channel statistics for MICA ROBLOX, featuring 467,000 subscribers and 157,349,736 total views. This dataset includes detailed performance metrics such as subscriber growth, video views, engagement rates, and estimated revenue. The channel operates in the Gaming category and is based in US. Track 925 videos with daily and monthly performance data, including view counts, subscriber changes, and earnings estimates. Analyze growth trends, engagement patterns, and compare performance against similar channels in the same category.