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Instagram Reel Scraper

A Python script to scrape Instagram Reels URLs and download them.

Description

The Instagram Reel Scraper is a Python script that utilizes Selenium and allows you to scrape Instagram Reels URLs from specified accounts and download them locally, this tool makes it easy to gather and save Instagram Reels for offline viewing or archival purposes.

Installation

To install and use the Instagram Reel Scraper, follow these steps:

  1. Clone the repository to your local machine:
git clone https://github.com/neeel99/igreelscrape.git
  1. Navigate to the project directory:
cd igreelscrape 
  1. Run the script:
python script.py

Usage

To use the Instagram Reel Scraper, follow these steps:

  1. Enter the path to the Chrome WebDriver executable when prompted.
  2. Provide your Instagram username and password.
  3. Enter the target Instagram account username.
  4. Specify the number of Reels to download.
  5. Choose the directory to save the downloaded Reels.

Features

  • Scrape Instagram Reels URLs from specified accounts.
  • Download Reels as MP4 files for offline viewing.
  • Customize file names and save locations.
  • Support for batch processing and preview options.
  • Cross-platform compatibility for Windows, macOS, and Linux.

Contributing

We welcome contributions from the community! If you encounter any bugs, have feature requests, or want to contribute improvements to the project, please check out our Contributing Guidelines for more information.

License

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

Contact

For any inquiries or support requests, feel free to reach out to us at:


Disclaimer

Note: This project is intended for educational and informational purposes only. Any actions and activities performed using this project are the sole responsibility of the user. I am not liable for any illegal or unauthorized use of the information provided in this project. Use it at your own risk and discretion.

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Still in Progress: Download Instagram reels effortlessly, simplifying the process of scraping and organizing the content.

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