Methodology Every Tuesday, we publish four global Top 10 lists for films and TV: Film (English), TV (English), Film (Non-English), and TV (Non-English). These lists rank titles based on ‘views’ for each title from Monday to Sunday of the previous week. We define views for a title as the total hours viewed divided by the total runtime. Values are rounded to 100,000.

We consider each season of a series and each film on their own, so you might see both Stranger Things seasons 2 and 3 in the Top 10. Because titles sometimes move in and out of the Top 10, we also show the total number of weeks that a season of a series or film has spent on the list.

To give you a sense of what people are watching around the world, we also publish Top 10 lists for nearly 100 countries and territories (the same locations where there are Top 10 rows on Netflix). Country lists are also ranked by views.

Finally, we provide a list of the Top 10 most popular Netflix films and TV overall (branded Netflix in any country) in each of the four categories based on the views of each title in its first 91 days.

Some TV shows have multiple premiere dates, whether weekly or in parts, and therefore the runtime increases over time. For the weekly lists, we show the views based on the total hours viewed during the week divided by the total runtime available at the end of the week. On the Most Popular List, we wait until all episodes have premiered, so you see the views of the entire season. For titles that are Netflix branded in some countries but not others, we still include all of the hours viewed.

Information on the site starts from June 28, 2021 and any lists published before June 20, 2023 are ranked by hours viewed.

Overview This dataset contains 25,000 fictional Netflix user records generated for analysis, visualization, and machine learning practice. It includes demographic details, subscription type, watch time, and login history for each user.

Columns User_ID – Unique identifier for each user Name – Randomly generated name Age – Age of the user (13 to 80) Country – User’s country (randomly chosen from 10 options) Subscription_Type – Type of Netflix plan (Basic, Standard, Premium) Watch_Time_Hours – Total hours watched in the last month Favorite_Genre – User’s preferred genre Last_Login – Last recorded login date within the past year

Use Cases Data visualization and analytics Customer segmentation and trend analysis Machine learning model testing (e.g., churn prediction, recommendation systems) This dataset is synthetic and does not contain real user data. Feel free to use it for experiments and projects! 🚀

The most used device to watch TV shows on Netflix in the United States was the TV screen in September 2023, with over *** million unique viewers. The mobile device was the second most popular device for U.S. consumers watching Netflix TV series, followed by the computer.

Welcome to the Comprehensive Usage Log Dataset of the popular Over-The-Top (OTT) Platform Netflix. This dataset is a valuable resource for researchers, data scientists, and enthusiasts interested in understanding user behaviour within a popular online streaming service. This meticulously curated dataset offers a rich and diverse collection of user interactions, providing insights into user preferences, devices the platform has been accessed from, search history, and video consumption patterns on the OTT platform.

The dataset provided has been processed to remove of all possible personal information. The code helps you remove all possible personal information and create a new dataset with same structure. You can get the actual data from your Netflix account by raising a request from their website. To fetch your data 1. Login to the website 2. Select the profile of the account holder 3. Click on their icon in the top-right corner of the screen and choose Account 4. Under settings, click on Download your personal information. 5. Press the button to Submit Request 6. Netflix will email the main account holder when the file is ready to download.

This web page Netflix personal information has the steps to request your user data from Netflix.

Dataset Highlights:

• User Profiles: Gain a deeper understanding of OTT users by exploring their demographic information, subscription type, and engagement levels. Analyze how different user segments interact with the platform.
• Device Information: Study the devices used to access the OTT service, including smartphones, tablets, smart TVs, and more. Uncover trends in device preference and platform optimization for different devices.
• Video Search History: Delve into the search behavior of users to uncover popular search queries, trending topics, and user preferences. Discover how search queries evolve over time and the content users are most interested in.
• Search Result Interactions: Explore how users interact with search results. Understand which search results receive the most clicks, which are ignored, and how search result interaction influences video selection.
• Video Viewing Patterns: Analyse user video viewing behaviour, including session duration, preferred genres, most-watched videos, and viewing frequency. Gain insights into binge-watching habits and content consumption preferences.

Potential Use Cases:

• Personalized Recommendations: Leverage the dataset to develop advanced recommendation algorithms that provide users with tailored content suggestions based on their viewing history, search behavior, and user profile.
• User Experience Enhancement: Identify pain points and areas of improvement in the user experience. Optimize the platform for different devices and user segments to ensure seamless navigation and content discovery.
• Content Strategy Optimization: Use the dataset to determine the popularity of certain genres, actors, directors, and more. Make informed decisions about content acquisition and creation to meet user demand.
• Market Analysis: Gain competitive insights by comparing user engagement, search behavior, and viewing patterns with other OTT platforms. Understand market trends and make data-driven strategic decisions.

In 2025, around ** percent of American consumers watched Netflix at least once a week. This marks an increase from the previous year, when less than ** percent of respondents to the survey watched content on the streaming platform on a weekly basis.

In the United Kingdom, TV screens were the most used devices for watching Netflix TV shows during September 2023. Nearly **** million unique viewers watched on these devices, up from **** million users recorded in the previous month. Mobile devices came in second position, with around **** million unique users.

Context

Netflix Movies and TV Shows Netflix is a streaming service that offers a wide variety of award-winning TV shows, movies, anime, documentaries and more – on thousands of internet-connected devices.

You can watch as much as you want, whenever you want, without a single ad – all for one low monthly price. There's always something new to discover, and new TV shows and movies are added every week!

Enjoy your favourite Movies and TV Shows

Netflix is a streaming service and production company. Crawl feeds team extracted more than 100 records from netflix for quality analysis purposes. Get in touch with crawl feeds team for complete dataset. Last extracted on 5 mar 2022

This statistic shows the popular viewing behaviors of Netflix users who watch TV and movies with pets worldwide as of January 2018. According to the data, ** percent of surveyed adults who watched Netflix with their pets bribed them with treats to encourage the pet to watch the show or movie for longer, and ** percent turned off a show because their pet did not seem to like it.

According to a study, the TV screen was the favorite device to watch Netflix TV shows in Brazil in the past months, with nearly ** million unique users in September 2023. Further **** million unique viewers watched Netflix episodes on mobile devices, making it the second most used device in the country. Computers ranked third with around **** million users.

Since launching our weekly Top 10 and Most Popular lists in 2021, Netflix has provided more information about what people are watching than any other streamer except YouTube. And now we believe it’s time to go further.

Starting today we will publish What We Watched: A Netflix Engagement Report twice a year. This is a comprehensive report of what people watched on Netflix over a six month period1, including:

Hours viewed for every title — original and licensed — watched for over 50,000 hours2;

The premiere date3 for any Netflix TV series or film; and

Whether a title was available globally.

In total, this report covers more than 18,000 titles — representing 99% of all viewing on Netflix — and nearly 100 billion hours viewed.

Over 60% of Netflix titles released between January and June 2023 appeared on our weekly Top 10 lists. So while this report is broader in scope, the trends reflected in it are very similar to those in the Top 10 lists, including:

The strength of returning favorites like Ginny & Georgia, Alice in Borderland, The Marked Heart, Outer Banks, You, Queen Charlotte: A Bridgerton Story, XO Kitty and film sequels Murder Mystery 2 and Extraction 2;

The popularity of new series like The Night Agent, The Diplomat, Beef, The Glory, Alpha Males, FUBAR and Fake Profile, which generate huge audiences and fandoms;

The size of the audience of our films across every genre including The Mother, Luther: The Fallen Sun, You People, AKA, ¡Que viva México! and Hunger;

The enthusiasm for non-English stories, which generated 30% of all viewing;

The staying power of titles on Netflix, which extends well beyond their premieres. All Quiet on the Western Front, for example, debuted in October 2022 and generated 80M hours viewed between January and June; and

The demand for older, licensed titles, which generates tremendous value for our members and for rights holders.

When reading the report it’s important to remember:

Success on Netflix comes in all shapes and sizes, and is not determined by hours viewed alone. We have enormously successful movies and TV shows with both lower and higher hours viewed. It’s all about whether a movie or TV show thrilled its audience — and the size of that audience relative to the economics of the title; and

To compare between titles it’s best to use our weekly Top 10 and Most Popular lists, which take into account run times and premiere dates.

This is a big step forward for Netflix and our industry. We believe the viewing information in this report — combined with our weekly Top 10 and Most Popular lists — will give creators and our industry deeper insights into our audiences, and what resonates with them.

The Top Netflix Movies and Web Series Dataset is a comprehensive collection of information regarding the most popular and critically acclaimed movies and web series available on the Netflix streaming platform. This dataset provides valuable insights into the entertainment preferences of Netflix subscribers and serves as a valuable resource for various purposes, including research, analysis, and recommendation systems.

Dataset Card for Dataset: NetFlix Shows

  Dataset Summary

The raw data is Web Scrapped through Selenium. It contains Unlabelled text data of around 9000 Netflix Shows and Movies along with Full details like Cast, Release Year, Rating, Description, etc.

  Supported Tasks and Leaderboards

[More Information Needed]

  Languages

[More Information Needed]

  Dataset Structure





  Data Instances

[More Information Needed]

  Data Fields… See the full description on the dataset page: https://huggingface.co/datasets/hugginglearners/netflix-shows.

Context

Netflix in the past 5-10 years has captured a large populate of viewers. With more viewers, there most likely an increase of show variety. However, do people understand the distribution of ratings on Netflix shows?

Content

Because of the vast amount of time it would take to gather 1,000 shows one by one, the gathering method took advantage of the Netflix’s suggestion engine. The suggestion engine recommends shows similar to the selected show. As part of this data set, I took 4 videos from 4 ratings (totaling 16 unique shows), then pulled 53 suggested shows per video. The ratings include: G, PG, TV-14, TV-MA. I chose not to pull from every rating (e.g. TV-G, TV-Y, etc.).

Acknowledgements

The data set and the research article can be found at The Concept Center

Inspiration

I was watching Netflix with my wife and we asked ourselves, why are there so many R and TV-MA rating shows?

The most popular device for watching Netflix TV shows in Mexico was the TV screen, with over **** million unique viewers in September 2023. Mobile devices, ranking behind in second position, counted around **** million unique users.

From the report page:

Since launching our weekly Top 10 and Most Popular lists in 2021, Netflix has provided more information about what people are watching than any other streamer except YouTube. And now we believe it’s time to go further.

Starting today we will publish What We Watched: A Netflix Engagement Report twice a year. This is a comprehensive report of what people watched on Netflix over a six month period1, including:

Hours viewed for every title — original and licensed — watched for over 50,000 hours2;

The premiere date3 for any Netflix TV series or film; and

Whether a title was available globally.

In total, this report covers more than 18,000 titles — representing 99% of all viewing on Netflix — and nearly 100 billion hours viewed.

Over 60% of Netflix titles released between January and June 2023 appeared on our weekly Top 10 lists. So while this report is broader in scope, the trends reflected in it are very similar to those in the Top 10 lists, including:

The strength of returning favorites like Ginny & Georgia, Alice in Borderland, The Marked Heart, Outer Banks, You, Queen Charlotte: A Bridgerton Story, XO Kitty and film sequels Murder Mystery 2 and Extraction 2;

The popularity of new series like The Night Agent, The Diplomat, Beef, The Glory, Alpha Males, FUBAR and Fake Profile, which generate huge audiences and fandoms;

The size of the audience of our films across every genre including The Mother, Luther: The Fallen Sun, You People, AKA, ¡Que viva México! and Hunger;

The enthusiasm for non-English stories, which generated 30% of all viewing;

The staying power of titles on Netflix, which extends well beyond their premieres. All Quiet on the Western Front, for example, debuted in October 2022 and generated 80M hours viewed between January and June; and

The demand for older, licensed titles, which generates tremendous value for our members and for rights holders.

When reading the report it’s important to remember:

Success on Netflix comes in all shapes and sizes, and is not determined by hours viewed alone. We have enormously successful movies and TV shows with both lower and higher hours viewed. It’s all about whether a movie or TV show thrilled its audience — and the size of that audience relative to the economics of the title; and

To compare between titles it’s best to use our weekly Top 10 and Most Popular lists, which take into account run times and premiere dates.

This is a big step forward for Netflix and our industry. We believe the viewing information in this report — combined with our weekly Top 10 and Most Popular lists — will give creators and our industry deeper insights into our audiences, and what resonates with them.

According to a survey conducted in March 2023, ** percent of respondents in the United States watched Netflix on a daily basis, while the share of daily Netflix users was similar for men as well as for women. Almost ************ people interviewed have not watched the streaming service at all in the month prior to the survey period.

The streaming world revolves significantly around Netflix, which continues to deepen its impact on global entertainment and media consumption. From the rise of ad-supported tiers to strategic live-event programming, Netflix’s evolution is visible in both consumer behavior and industry economics. For example, major sports and original releases have translated into...

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Thanks for coming to look at my dataset. How about watching Netflix?

Take a look at the titles and don't hesitate to take a look at the topics that look interesting

In an era dominated by streaming services, Netflix stands as one of the undisputed giants in the world of entertainment. With its vast library of movies, TV shows, documentaries, and more, it has become a household name for millions of viewers worldwide. But what keeps us glued to the screens? These questions, among others, have prompted my classmates and me to delve deep into the world of Netflix.

Hence, this dataset showcases a diverse range of preferences and opinions, offering insights into the habits and experiences of Netflix users across various demographics.

Demographic: - Gender - Age

Netflix user's behaviour: - What types of content do you most often watch on Netflix? - How often do you watch Netflix? - How do you typically discover new content to watch on Netflix? - What devices do you primarily use to access Netflix? - How satisfied are you with the overall Netflix user interface and browsing experience? - Why is this rating?