Instagram Video Scraper

Instagram Video Scraper is a Python-based tool designed to download videos from Instagram. This tool leverages the Instagram public API and web scraping techniques to collect videos from user profiles, hashtags, and locations.

Table of Contents

• Features
• Installation
• Usage
• Dependencies
• Contributing
• License
• Contact

Features

• Video Scraping: Download videos from any public Instagram user profile.
• Configurable Output: Choose the output directory and file naming conventions.
• Automated Downloads: Schedule downloads for batch processing.

Installation

To install and run the Instagram Video Scraper, follow these steps:

1. Clone the repository:

   git clone https://github.com/abdul-28930/InstagramVideoScraper.git
   cd InstagramVideoScraper

2. Install the required dependencies:

   pip install -r requirements.txt

3. Set up Instagram Credentials:

   Create a .env file in the root directory and add your Instagram credentials:

   INSTAGRAM_USERNAME=your_username
   INSTAGRAM_PASSWORD=your_password
   

   Note: Use this tool responsibly and comply with Instagram's terms of service.

Usage

1. Run the Scraper:

   To start scraping videos, run the following command:

   python scraper.py --type <scrape_type> --target <target>

   • Replace <scrape_type> with user, hashtag, or location.
   • Replace <target> with the specific username, hashtag, or location you want to scrape.

   For example, to scrape videos from a user profile:

   python scraper.py --type user --target username

2. Additional Options:

   • --output specifies the directory where the videos will be saved.
   • --limit sets the maximum number of videos to download.

Dependencies

• Python 3.6 or higher
• Requests
• BeautifulSoup
• Instaloader
• dotenv

To install these dependencies, run:

pip install requests beautifulsoup4 instaloader python-dotenv

Contributing

Contributions are welcome! If you'd like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch: git checkout -b feature-branch
3. Make your changes and commit them: git commit -m 'Add new feature'
4. Push to the branch: git push origin feature-branch
5. Submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For any questions or suggestions, please reach out to the project maintainer at:

• Abdul - GitHub Profile