# YouTube-Report **Repository Path**: miscedence/YouTube-Report ## Basic Information - **Project Name**: YouTube-Report - **Description**: :bar_chart: Generate a personal YouTube report from your Google Takeout data - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2019-12-27 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Generate Your Personal YouTube Report avatar ## Getting Started ### 1. Install Python 3+ If you don't already have Python 3+ installed on your computer, download it from https://www.python.org/downloads/. ### 2. Get Your YouTube Data Here you can find out how to download your Google data: https://support.google.com/accounts/answer/3024190?hl=en Here you can download all of the data that Google has stored on you: https://takeout.google.com/ To use this script, you only need to select and download "YouTube", which Google will provide to you as a Zip file by default. avatar ### 3. Clone This Repository On https://github.com/A3M4/Personal-YouTube-Report-Generator, click the green "Clone or Download" button at the top right of the page. Then, click the "Download ZIP" button, and extract the ZIP somewhere on your computer. NOTE: Make sure to set your [Google Account language ](https://support.google.com/accounts/answer/32047)to English before downloading ### 4. Extract the Takeout File Extract the Takeout File(from step 2) and move it to the repository folder(from step 3). Now the files in Repository folder look like below. avatar ### 5. Install Dependencies Open [command prompt or Terminal window](https://tutorial.djangogirls.org/en/intro_to_command_line/#what-is-the-command-line) in this repository folder, type the following and press enter: ``` pip install -r requirements.txt ``` ### 6. Run the Script In the same command prompt or Terminal window, type the following and press enter: ``` python report.py ``` ### 7. Results The script will generate a file named **YouTube_Report.pdf**. This file will automatically open in your browser once the script completes. Besides, you can find all the images that make up this report in **Images** folder.