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.

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.

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

Analysis of ‘IMDb Scores for Netflix Movies and TV Shows’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/sergeyzelenovskiy/netflix-films-tv-shows-imdb-scores on 28 January 2022.

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

Context

Это расширение для датасета Netflix Movies and TV Shows, добавляющие IMDb рейтинг произведений. Данные собирались и чистились посредством моего notebook'а.

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

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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• 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 ‘Netflix "Top 10" TV Shows and Films’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/dhruvildave/netflix-top-10-tv-shows-and-films on 28 January 2022.

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

Every Tuesday, Netflix publishes 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 weekly hours viewed: the total number of hours that members around the world watched each title from Monday to Sunday of the previous week.

Each season of a series and each film is considered 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, there is also the total number of weeks that a season of a series or film has spent on the list.

Netflix also publishes 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 based on hours viewed but don’t show country-level viewing directly.

Finally, Netflix provides a list of the Top 10 most popular Netflix films and TV (branded Netflix in any country) in each of the four categories based on the hours that each title was viewed during its first 28 days.

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

This dataset consists of tv shows and movies available on Netflix as of 2019. The dataset is collected from Flixable which is a third-party Netflix search engine.

In 2018, they released an interesting report which shows that the number of TV shows on Netflix has nearly tripled since 2010. The streaming service’s number of movies has decreased by more than 2,000 titles since 2010, while its number of TV shows has nearly tripled. It will be interesting to explore what all other insights can be obtained from the same dataset.

Integrating this dataset with other external datasets such as IMDB ratings, rotten tomatoes can also provide many interesting findings.

Inspiration Some of the interesting questions (tasks) which can be performed on this dataset -

Understanding what content is available in different countries Identifying similar content by matching text-based features Network analysis of Actors / Directors and find interesting insights Is Netflix has increasingly focusing on TV rather than movies in recent years?

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)

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 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.

Attribute Information 1. show_id : Unique ID for every Movie / Tv Show 2. type : Identifier - A Movie or TV Show 3. title : Title of the Movie / Tv Show 4. director : Director of the Movie 5. cast : Actors involved in the movie / show 6. country : Country where the movie / show was produced 7. date_added : Date it was added on Netflix 8. release_year : Actual Release year of the movie / show 9. rating : TV Rating of the movie / show 10. duration : Total Duration - in minutes or number of seasons 11. listed_in : Genre 12. description: The Summary description

Industry data revealed that Slovakia had the most extensive Netflix media library worldwide as of July 2024, with over 8,500 titles available on the platform. Interestingly, the top 10 ranking was spearheaded by European countries. Where do you get the most bang for your Netflix buck? In February 2024, Liechtenstein and Switzerland were the countries with the most expensive Netflix subscription rates. Viewers had to pay around 21.19 U.S. dollars per month for a standard subscription. Subscribers in these countries could choose from between around 6,500 and 6,900 titles. On the other end of the spectrum, Pakistan, Egypt, and Nigeria are some of the countries with the cheapest Netflix subscription costs at around 2.90 to 4.65 U.S. dollars per month. Popular content on Netflix While viewing preferences can differ across countries and regions, some titles have proven particularly popular with international audiences. As of mid-2024, "Red Notice" and "Don't Look Up" were the most popular English-language movies on Netflix, with over 230 million views in its first 91 days available on the platform. Meanwhile, "Troll" ranks first among the top non-English language Netflix movies of all time. The monster film has amassed 103 million views on Netflix, making it the most successful Norwegian-language film on the platform to date.

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 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.

Dataset used for the comparative case study analysis of Netflix offerings and investment strategies in four European Union countries: Belgium, Romania, Spain, and Sweden. Data was collected on 7 April 2020 by using a web scraping programme on third-party sources. The Unofficial Netflix Online Global Search (UNOGS.com) provided the list of titles in each country catalogue, while the Internet Movie Database (IMDb.com) was used for information on year of release, country of origin, language, type (film/series), and genre.

Disney+ - TV Shows and Movies

This data set was created to list all shows available on Disney+ 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 +1500 unique titles on Disney+ 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 +26k credits of actors and directors on Disney+ titles with 5 columns containing their information, including:

• 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
• Amazon Prime TV Shows and Movies
• Netflix 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.

Overview

Streaming Services Statistics: Streaming services have transformed the entertainment landscape, revolutionizing how people consume content.

The advent of high-speed internet and the proliferation of smart devices have fueled the growth of these platforms, offering a wide array of movies, TV shows, music, and more, at the viewers' convenience.

This introduction provides an overview of key statistics that shed light on the impact, trends, and challenges within the streaming industry.