YouTube and Instagram Parsers

Overview

This project includes two scripts: one for downloading videos from YouTube and the other for downloading photos from Instagram. Both scripts process URLs from the urls.txt file, where each URL points to a YouTube channel or Instagram profile.

Installation

1. Ensure that you have Python 3.12.0 or later installed.
2. Create and activate a virtual environment: For Windows:

   python -m venv venv
   venv\Scripts\activate

   For Unix:

   python -m venv venv
   source venv/bin/activate

3. Install the required dependencies from the requirements.txt file:

   pip install -r requirements.txt

Checking and Installing ffmpeg

To avoid warnings about ffmpeg not being found, you should install it. Follow the instructions for your operating system:

• For macOS: Use Homebrew:

  brew install ffmpeg

• For Ubuntu/Debian:

  sudo apt update
  sudo apt install ffmpeg

• For Windows: Download and install ffmpeg from the official website.

Usage

urls.txt File

Add the YouTube channel URLs and Instagram profile URLs you want to process to the urls.txt file. Each URL should be on a new line. Example content:

https://www.instagram.com/diachenko.tattoo/
https://www.youtube.com/@user-me5tu9kk1t

Running the YouTube Parser

To run the YouTube parser script, execute the following command:

python youtube_parser.py

The script will process all URLs containing youtube.com or youtu.be and download videos from the listed channels.

Running the Instagram Parser

To run the Instagram parser script, use the following command:

python instagram_parser.py

The script will process all URLs containing instagram.com and download photos from the listed profiles.

Output

• YouTube Parser: The downloaded videos are saved in folders named after the channel. Each folder contains a description.txt file with channel information.
• Instagram Parser: The photos are saved in folders named after the profile. Each folder contains a description.txt file with profile information and a photos.txt file listing the downloaded photo URLs.

Code Quality Check

To ensure the code follows PEP8 standards, use pylint. For example:

pylint --disable=missing-module-docstring,missing-function-docstring,pointless-string-statement youtube_parser.py

You can similarly check the Instagram script.

Note

Make sure to use the scripts in compliance with the terms of service of YouTube and Instagram.