Explore the Netflix Titles dataset, featuring detailed insights on over 8,800 movies and TV shows. Ideal for data analysis and market research, this comprehensive resource covers genre trends, directorial data.

1) Data Introduction • The Netflix Movies and TV Shows Dataset contains various metadata on movies and TV shows available on Netflix. • Key features include the title, director, cast, country, date added, release year, rating, genre, and total duration (in minutes or number of seasons) of the content.

2) Data Utilization (1) Characteristics of the Netflix Movies and TV Shows Dataset • This dataset helps in understanding content trends and markets, as well as analyzing global preferences and changing consumer tastes. • It is useful for analyzing the characteristics of content available in different countries, including genre, cast, director, and more.

(2) Applications of the Netflix Movies and TV Shows Dataset • Content Analysis: Analyze how Netflix's content is distributed, and understand preferences based on genre or country. • Recommendation System Development: Develop algorithms that recommend similar content based on user viewing patterns. • Market Analysis: Identify which content is popular in different countries and analyze if Netflix focuses more on specific countries or genres.

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.

Original Data Source: Dataset: NetFlix 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

Dive into the Netflix Movies and TV Shows Dataset, a detailed collection of web-scraped data featuring popular streaming titles. Discover trending movies, binge-worthy TV series, genres, ratings, release years, and audience preferences. Gain insights into Netflix originals, global streaming trends, and viewer favorites to inform market analysis and entertainment research.

Perfect for exploring content diversity, production trends, and streaming platform dynamics.

This dataset contains information about movies and TV shows available on Netflix as of 2021. The data includes various details about each title, such as:

• Title: The name of the movie or TV show.
• Genre: The genre(s) associated with the title.
• Director: The director(s) of the movie or show.
• Cast: Main actors and actresses featured.
• Country: The country where the movie or show was produced.
• Date Added: The date when the title was added to Netflix.
• Release Year: The year the movie or show was released.
• Rating: The maturity rating (e.g., PG, TV-MA).
• Duration: The length of the movie or number of seasons for TV shows.
• Description: A brief summary of the movie or show.

Data Collection and Sources The dataset has been compiled from publicly available sources and includes titles available on Netflix globally. It provides a comprehensive view of Netflix’s content library up to the year 2021, making it an excellent resource for analyzing trends in streaming content, examining genre popularity, and exploring the evolution of Netflix’s offerings over time.

This dataset is provided for educational and research purposes. All data is based on publicly available information and should be used responsibly, respecting the original content creators' rights.

About this Dataset: Disney+ is another one of the most popular media and video streaming platforms. They have close to 1300 movies or tv shows available on their platform, as of mid-2021, they have over 116M Subscribers globally. This tabular dataset consists of listings of all the movies and tv shows available on Amazon Prime, along with details such as - cast, directors, ratings, release year, duration, etc.

Interesting Task Ideas

1. Understanding what content is available in different countries
2. Identifying similar content by matching text-based features
3. Network analysis of Actors / Directors and find interesting insights
4. Does Disney+ has more focus on TV Shows than movies in recent years.

Other Platform's Datasets (Click on the logos to view)

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[7]: https://i.imgur.com/nCL8Skc.png?1 =75x32

• Amazon Prime Video Movies and TV Shows
• Disney+ Movies and TV Shows
• Netflix Prime Video Movies and TV Shows
• Hulu Movies and TV Shows

Analysis of ‘Trending TV Shows on Netflix’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ritesh2000/trending-tv-shows-on-netflix on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

The Dataset is Collected from: * The dataset is scraped from Reelgood.com

Content

This Data is a collection of top 50 trending Tv shows currently streaming on Netflix.

Dataset Distribution:

• Titles: It contains the name of the Top Tv shows.
• Year: Which Year this Tv Show Released?
• Netflix_Rating: Rated By Netflix.
• IMDB_Rating: Rated By IMDB.
• Netflix: Currently Streaming on Netflix or Not.

Inspiration

• The year during which a TV Show was released.
• IMDB Ratings for all TV Shows.
• https://www.kaggle.com/ruchi798/movies-on-netflix-prime-video-hulu-and-disney

--- Original source retains full ownership of the source dataset ---

This dataset provides a detailed list and metadata for approximately 7,000 TV shows and movies available on Netflix as of June 2021. Sourced from the IMDB website, it offers insights into content characteristics, popularity, and categorisation, making it suitable for various analytical and machine learning applications.

Columns

• imdb_id: A unique identifier for each show or movie.
• title: The title of the television programme or film.
• popular_rank: The ranking assigned by IMDB based on popularity.
• certificate: Age certifications received by the content; it is noted that many values may be null.
• startYear: The year the show was first broadcast or the film was released.
• endYear: The year a show concluded, if applicable.
• episodes: The total number of episodes in a series; for films, this value is 1.
• runtime: The running time of the content.
• type: Specifies whether the content is a 'Movie' or 'Series'.
• orign_country: The country of origin for the show or movie.
• language: The primary language of the content.
• plot: A synopsis of the show or movie.
• summary: A concise summary of the story.
• rating: The average user rating for the content.
• numVotes: The total number of votes received for the content's rating.
• genres: The genre(s) to which the show or movie belongs.
• isAdult: A binary indicator (1 for adult content, 0 otherwise).
• cast: The main cast members listed in a suitable format.
• image_url: A link to the poster image for the content.

Distribution

The dataset is typically provided as a CSV file, specifically named netflix_list.csv. It contains approximately 7,000 records, with 7,008 unique identifiers for shows and movies. This dataset is listed as version 1.0 and was added to the platform on 11 June 2025.

Usage

This dataset is ideally suited for developing recommender systems, performing natural language processing (NLP) tasks on plot summaries, and conducting market analysis of entertainment content. It can be used to explore trends in movie and TV show production, analyse viewer preferences, and facilitate content categorisation efforts.

Coverage

The dataset offers global coverage, with information on content originating from various countries. The startYear of content spans from 1932 to 2022, with the majority of content released between 2004 and 2022. The endYear ranges from 1969 to 2022, with most data concentrated from 2011 to 2022. It includes age certification information and an indicator for adult content, allowing for demographic considerations related to content suitability.

License

CCO

Who Can Use It

This dataset is valuable for data scientists and machine learning engineers working on content recommendation engines or text analysis projects. It is also beneficial for researchers studying media consumption patterns and entertainment industry analysts interested in exploring the Netflix content catalogue programmatically.

Dataset Name Suggestions

• Netflix Content Metadata (June 2021)
• Global Netflix Catalogue
• Netflix IMDB Dataset
• Streaming Content Insights (Netflix)
• Netflix Movie and TV Show Archive

Attributes

Original Data Source:Netflix Movie and TV Shows (June 2021)

This dataset is about Netflix Movies and Tv shows. The dataset has following columns such as show_id, type, title, director, cast, country, date_added, release_year, rating, duration, listed_in, description.

In this project, I perform an Exploratory Data Analysis (EDA) on the Netflix dataset to identify trends in content types, genres, release years, and countries. The goal is to visualize how Netflix's catalog has evolved over time and uncover patterns in the types of shows and movies being produced.

The global television show and film industry, encompassing production, distribution, and post-production stages, is a dynamic and expansive market. While precise figures for market size and CAGR are unavailable from the provided information, industry analyses consistently point towards robust growth fueled by several key drivers. The rise of streaming services like Netflix, Disney+, and HBO Max has significantly expanded content consumption and demand, leading to increased investment in both television series and film production. Technological advancements, including improved visual effects and immersive cinematic experiences (e.g., IMAX, 3D), further enhance the appeal of these mediums. Geographic expansion, particularly in emerging markets with growing disposable incomes and internet penetration, represents another significant growth driver. Conversely, challenges remain. Production costs continue to escalate, requiring significant capital investment and impacting profitability. Competition is fierce, with established studios like Warner Bros. and Disney vying for market share with newer players and independent production houses. Furthermore, piracy and copyright infringement pose an ongoing threat to revenue streams. The segmentation into pre-production, production, and post-production allows for granular analysis of the investment lifecycle and helps identify potential bottlenecks. Similarly, the application-based segmentation (TV production & distribution, film production & distribution) clarifies the specific market forces affecting each segment. The industry's future trajectory is complex. While streaming continues to drive demand, the saturation of the market could lead to a potential slowdown in growth, necessitating innovation in content creation and distribution strategies. The increasing reliance on data analytics to inform content creation and target specific audiences will also shape the industry’s evolution. The regional distribution shows significant concentration in North America and Europe, while Asia Pacific, particularly China and India, represents high-growth potential. Understanding the diverse dynamics within these regions, from regulatory environments to audience preferences, is crucial for strategic success. The forecast period of 2025-2033 suggests a sustained period of growth, but its rate will depend on the successful navigation of the aforementioned challenges and the adoption of innovative strategies by key players.

In 2022, the Netflix series "Stranger Things" was the most popular original TV show in Italy, according to data provided by Parrot Analytics. The second and third places were taken by "Game Of Thrones" and "Gomorrah," with about ** and 19times higher than the average title, respectively.

Netflix library

Netflix libraries have more content available in Slovakia and Bulgaria than in any other country, with over ***** titles available on the Netflix platform in early 2023. In contrast, Netflix's catalog in Italy includes around ***** titles.

Netflix's European content As of April 2022, Netflix met the requirement of the EU's policy to ensure that at least ** percent of its content titles were of European origin in Italy. The Netherlands was the country with the highest share of Netflix titles created within Europe.

The Movies and TV Shows Over-the-Top (OTT) market is experiencing robust growth, projected to reach a market size of $24.15 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 15.8% from 2019 to 2033. This expansion is driven by several key factors. The increasing affordability and accessibility of high-speed internet globally are significantly contributing to the widespread adoption of streaming services. Furthermore, the rising popularity of on-demand content, coupled with the convenience and personalization offered by OTT platforms, fuels consumer preference for this mode of entertainment consumption. The shift in viewing habits away from traditional television, especially among younger demographics, is another significant driver. Competition among major players like Netflix, Amazon, and Disney+ is also fostering innovation, resulting in higher-quality content, improved user interfaces, and competitive pricing strategies. The market is segmented into personal and commercial applications, with solutions and services comprising the types of offerings. While the current dominance of major players is undeniable, opportunities exist for niche players focused on specific regional content or specialized genres. The geographic distribution reflects a strong presence in North America and Asia Pacific, with substantial growth potential in developing regions as internet penetration increases. However, challenges include content piracy, regulation complexities across different geographical areas, and the increasing cost of producing high-quality content. The forecast period from 2025 to 2033 indicates sustained growth, though the CAGR may fluctuate slightly based on economic conditions and technological advancements. The continuous introduction of new platforms, innovative business models (like ad-supported tiers), and the expanding availability of original content will play crucial roles in shaping the market landscape in the coming years. While mature markets like North America and Western Europe might see a slightly moderated growth rate, emerging economies in Asia, Latin America, and Africa are poised for significant expansion as internet penetration and disposable income rise. Successful strategies will focus on targeted content localization, effective marketing campaigns that address regional preferences, and robust cybersecurity measures to mitigate piracy concerns.

The size of the Over The Top Content Market was valued at USD 178.6185 Billion in 2024 and is projected to reach USD 489.78 Billion by 2033, with an expected CAGR of 15.50% during the forecast period. The Over-The-Top (OTT) content market has witnessed rapid growth in recent years, driven by increasing internet penetration, smartphone adoption, and demand for on-demand entertainment. OTT platforms offer diverse content, including movies, TV shows, web series, and live streaming services, catering to varied consumer preferences. The rise of subscription-based and ad-supported models has enhanced accessibility, with major players like Netflix, Amazon Prime Video, and Disney+ dominating the global landscape. Regional platforms are also expanding, offering localized content to attract niche audiences. Technological advancements, including artificial intelligence, cloud computing, and data analytics, are enhancing content recommendation and user experience. Additionally, strategic partnerships and collaborations among production houses, telecom operators, and streaming platforms are fueling market expansion. Challenges such as content piracy, regulatory restrictions, and high competition persist, but ongoing innovation continues to drive industry evolution. With a shift toward original productions and interactive content, the OTT market is poised for sustained growth. The integration of virtual reality, augmented reality, and artificial intelligence is expected to further revolutionize content delivery, ensuring that OTT remains a dominant force in the entertainment industry. Recent developments include: December 2022: Netflix has collaborated with Nike Training Club in order to provide workout and fitness programming to the OTT platform. The fitness content is being provided to the video streaming platform via the collaboration between Netflix and Nike Training Club., November 2022: A smartphone version of its Prime Video membership was introduced by Amazon, with rupees 599 of cost annually. This plan would be used specifically in India, and the consumers can buy a yearly subscription for their mobile access utilizing the official website of the Android app., September 2022: Streaming platforms Jet-Stream and Medianova announced a partnership to offer CDN service of Medianova within the service of Jet-Stream. As per the partnership, Jet-Stream Airflow Multi CDN is integrated into Jet-Stream Cloud services.. Key drivers for this market are: Growing internet penetration and smartphone usage

Increasing consumer demand for personalized and convenient entertainment experiences

Technological advancements such as 4K streaming and personalized recommendations

Expansion into emerging markets with large populations and growing internet access. Potential restraints include: Intense competition and high churn rate

Piracy and illegal content distribution

Regulatory challenges and content censorship issues

Limited broadband infrastructure in certain regions

Fluctuating advertising revenue for AVOD services. Notable trends are: Rise of interactive and personalized content

Integration of AI and machine learning for content discovery

Expansion into gaming and e-commerce

Convergence of OTT platforms and social media.

The dataset is already in Kaggle. I used it here just because you can check all the possible Results I find in the Data analysis in my project:

Everyone knows about Netflix. Netflix is mostly used for watching TvShow and movie. Can I ask you some questions regarding Netflix? That's the part of my project.

1: How many movies and TV shows video uploaded by Netflix since 2020? 2: ' Friends' is this a TvShow or movie. ? 3: Brad Anderson is movie director or The director? 4: Netflix started from 2008. But in which year Netflix become popular? 5: How many videos upload by Netflix in 2010 or may be in 2017 or in 2015? 6 : How many TvShow were upload by Netflix in 2010 or in 2013? 7: What are the top3 country which mostly used for shooting movie or TvShow? 8: Netflix mostly upload old movies or New Movies? More question are also there regarding this csv file. If you want to grab all the information of Netflix than just visit this project.

Let me explain you how to get all answer.

In this project 8-9 python file are there. Each PYTHON file is used for different analysis regarding Netflix. Also Plotting the results using Matplotlib. Also apply MachineLearning algorithm. Just check each python file because each python file contains 80+ line of code . That's why I make different file so that you can easily hacked the information of Netflix. 8 PYTHON file Every PYTHON file has it's own best description.

Amazon Prime - Movies and TV Dramas

This data set was created to list all shows available on Amazon Prime streaming, and analyze the data to find interesting facts. This data was acquired in May 2022 containing data available in the United States.

Content

This dataset has two files containing the titles (titles.csv) and the cast (credits.csv) for the title.

This dataset contains +9k unique titles on Amazon Prime with 15 columns containing their information, including:

• id: The title ID on JustWatch.
• title: The name of the title.
• show_type: TV show or movie.
• description: A brief description.
• release_year: The release year.
• age_certification: The age certification.
• runtime: The length of the episode (SHOW) or movie.
• genres: A list of genres.
• production_countries: A list of countries that produced the title.
• seasons: Number of seasons if it's a SHOW.
• imdb_id: The title ID on IMDB.
• imdb_score: Score on IMDB.
• imdb_votes: Votes on IMDB.
• tmdb_popularity: Popularity on TMDB.
• tmdb_score: Score on TMDB.

And over +124k credits of actors and directors on Amazon Prime titles with 5 columns containing their information:

• person_ID: The person ID on JustWatch.
• id: The title ID on JustWatch.
• name: The actor or director's name.
• character_name: The character name.
• role: ACTOR or DIRECTOR.

Tasks

• Developing a content-based recommender system using the genres and/or descriptions.
• Identifying the main content available on the streaming.
• Network analysis on the cast of the titles.
• Exploratory data analysis to find interesting insights.

Other Streaming Datasets

• HBO Max TV Shows and Movies
• Netflix TV Shows and Movies
• Disney+ TV Shows and Movies
• Hulu TV Shows and Movies
• Paramount TV Shows and Movies
• Rakuten Viki TV Dramas and Movies
• Crunchyroll Animes and Movies
• Dark Matter TV Shows and Movies

How to obtain the data

If you want to see how I obtained these data, please check my GitHub repository.

Acknowledgements

All data were collected from JustWatch.

The size of the Video Streaming Market was valued at USD 348.82 Billion in 2024 and is projected to reach USD 966.38 Billion by 2033, with an expected CAGR of 15.67% during the forecast period. The video streaming market has experienced exponential growth in recent years, driven by increasing internet penetration, advancements in technology, and a shift in consumer preferences toward on-demand content. Platforms like Netflix, Amazon Prime Video, Disney+, and YouTube dominate the industry, offering diverse libraries of movies, TV shows, and original programming. The rise of smartphones and affordable data plans has further fueled this trend, making streaming accessible to a broader audience. Additionally, the COVID-19 pandemic accelerated the adoption of video streaming as people turned to digital entertainment during lockdowns. Emerging markets, particularly in Asia and Africa, are witnessing rapid growth due to rising smartphone usage and improved digital infrastructure. Furthermore, the integration of artificial intelligence and machine learning in content recommendation systems enhances user experiences by delivering personalized suggestions. Live streaming for events, gaming, and sports is also gaining traction, attracting advertisers and expanding monetization opportunities. However, challenges such as intense competition, content saturation, and licensing costs persist. As the market evolves, companies are exploring hybrid revenue models, regional content production, and innovative technologies like augmented and virtual reality to sustain growth and cater to evolving consumer demands. Key drivers for this market are: Increasing internet penetration and faster broadband speeds.

Growing demand for personalized content and on-demand viewing experiences.

Technological advancements in video compression and delivery.

Expansion of mobile video consumption and smart device adoption.

Shift from traditional TV viewing to streaming services.. Potential restraints include: High content acquisition and distribution costs.

Competition from established cable and satellite TV providers.

Privacy concerns over data collection and targeted advertising.

Internet connectivity issues in remote areas.. Notable trends are: Virtual Reality (VR) and Augmented Reality (AR) streaming for immersive experiences.

Interactive video formats, such as Choose Your Own Adventure (CYOA) and live Q&A sessions.

User-generated content (UGC) integration, empowering creators and fostering community.

Blockchain technology for secure content distribution and monetization..

In the fourth quarter of 2024, Amazon Prime Video was the most popular subscription video-on-demand (SVOD) service in the United States with a market share of ** percent, based on the users' interest in adding content to their watch lists of certain streaming platforms. Netflix followed closely with a market share of ** percent. Subscription streaming market – a money-losing business? While subscription streaming platforms increased their subscriber bases in the years 2020 and 2021 due to the measures taken during the COVID-19 pandemic, 2022 and 2023 saw services such as Netflix and Disney+ lose a substantial number of customers. Furthermore, the direct-to-consumer (DTC) businesses of large media companies are struggling to turn a profit. Paramount, for example, reported a loss of *** billion U.S. dollars for its streaming services in 2023. Streaming companies take action In order to compensate for subscriber and income losses, streaming companies implemented several strategies, such as launching more profitable ad-supported tiers, cracking down on credential sharing, laying off thousands of employees, and spending less on content. The Walt Disney Company was already able to increase DTC profits recently. Its cost-cutting measures include layoffs and savings in content spending by reducing content produced and removing TV shows and movies from its streaming services.

The Subscription Video on Demand (SVOD) market is experiencing robust growth, driven by increasing internet penetration, affordable mobile data plans, and a rising preference for on-demand entertainment. The market, estimated at $100 billion in 2025, shows a strong Compound Annual Growth Rate (CAGR) of 15%, projecting a value exceeding $250 billion by 2033. This expansion is fueled by several key factors. Firstly, the rise of original content produced by streaming giants like Netflix, Amazon Prime Video, and HBO Max attracts a wide audience, driving subscription numbers. Secondly, the increasing affordability and accessibility of streaming services, coupled with the convenience they offer, contributes significantly to market growth. Bundling strategies with other services and the emergence of diverse pricing tiers further enhance market reach and affordability. However, challenges remain. The market faces increasing competition, particularly from new entrants and the ongoing consolidation of major players. Price sensitivity among consumers, particularly in emerging markets, also poses a restraint. Furthermore, copyright issues, piracy concerns, and the need for ongoing investment in high-quality content continue to present hurdles for market players. Despite these challenges, the future of SVOD appears bright, driven by technological advancements, the ongoing shift in entertainment consumption patterns, and the persistent demand for high-quality, diverse content. Segmentation by pricing tiers (basic, premium, etc.), device compatibility (mobile, smart TV, etc.), and content genre (movies, TV shows, documentaries, etc.) offers various avenues for growth and market differentiation. Geographical expansion into untapped markets also holds significant potential.