Now, let’s get started with YouTube data collection using Python. I’ll collect data about the top 200 trending videos on YouTube: Use "Fetch_data.ipynb" to fetch data from youtube using api key.

In this project, we collect and analyze trending YouTube video data using Python. The tools and libraries we use include googleapiclient.discovery for accessing YouTube's API, pandas for data manipulation, os for file operations, and matplotlib for data visualization.

Jun 3, 2024 · In this article, I’ll take you through the task of YouTube data collection and analysis using Python. To collect data from YouTube, we need to be clear about what data we need. Let’s collect data about the trending videos on YouTube to analyze and find what makes a video trend on YouTube. So, let’s start with data collection first.

Feb 24, 2023 · Python offers several powerful libraries for web scraping, each with its strengths and suitability for different tasks. Whether you're scraping data for research, monitoring, or automation, choosing the right library can significantly affect your productivity and the efficiency of …

Nov 30, 2023 · This project is a comprehensive YouTube data analysis dashboard built using Streamlit in Python. It’s designed to aggregate and visualize various metrics related to YouTube videos,...

This project analyzes YouTube video data using Python to extract insights into trends, engagement, and performance metrics. The analysis includes data processing, visualization, and categorization of video attributes such as duration, views, likes, and comments.

In this project, I am going to analyse and visualize data generated by Youtube by the end of this project you can learn how to analyse text data and text cleaning and basic plotting with Plotly.

Nov 28, 2020 · We will analyze the data to get insight on trending YouTube videos, to see what is common among all trending videos. This information can also be used by people who want to increase the popularity of their videos on YouTube.

Mar 26, 2025 · In this article, you’ll learn how to export data from YouTube Analytics to Python so you can analyze it further or create visualizations. You can even build your own custom dashboard using various Python libraries like Streamlit, Shiny, or Dash.

"Youtuve_channel_analysis" is a YouTube data analysis project powered by the YouTube Data API. Developed in Python, the script efficiently retrieves and compiles crucial channel statistics such as subscribers, views, and total video count. The gathered data is then processed and visualized using Pandas and Seaborn, offering a clear and concise ...