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A convenient way to harvest Reels data without breaking a sweat—or Instagram's TOS

Project description

PyPI version

Reel Scraper

This Python project scrapes Instagram Reels from multiple accounts simultaneously, leveraging threading (and a dash of digital sorcery). It provides a convenient way to harvest Reels data without breaking a sweat—or Instagram's TOS (hopefully).

InstallationUsageContributingLicenseAcknowledgmentsDisclaimer

💻 Installation

Before you embark on your data-scraping journey, ensure that you have Python 3.8+ installed on your system. If you don’t, please visit the official Python website: https://www.python.org/downloads/.

Steps

  1. Installation
    git clone https://github.com/YourUsername/multi-instagram-scraper.git
    

🚀 Usage

Once you have all the dependencies installed, you’re ready to summon the scraper.

  1. Make sure you have an accounts.txt file (or whichever file you’re using) with one Instagram username per line:
    user1
    user2
    user3
    
  2. Run the scraper:
    python main.py
    
    Or, if you prefer to live on the edge:
    python multi_insta_scraper.py
    
    The code will read your accounts.txt, quickly go spelunking in the Instagram mines, and return a lovely dictionary with each user’s Reels info.
Hidden Gag #1 If you hear ominous chanting coming from your terminal—don’t worry, it’s just the concurrency demons hard at work.

🤝 Contributing

You’re more than welcome to contribute to this project—no, seriously, we need all the help we can get! Feel free to:

  • Fork the project.
  • Create a new branch.
  • Commit your modifications.
  • Submit a pull request.

Before submitting, please make sure your changes are well-tested, follow our code style, and include your favorite motivational quote in the commit message (optional but highly encouraged).

📄 License

This project is licensed under the MIT License. Feel free to do with it as you please, but please don’t blame us if your dog decides to open an Instagram account and become the next fluff-influencer.

🙏 Acknowledgments

  • Huge shout-out to the Python community for making concurrency (relatively) sane.
  • Special thanks to the mysterious folks who run Instagram—we promise to keep usage within reason. Probably.
  • Props to all the coffee beans that gave their lives so we could code this into existence. May they rest in grounds.

⚠ Disclaimer

This project is intended solely for educational and personal use. We are not responsible for any misuse, infringement of Instagram's Terms of Service, or local regulations. Use responsibly—preferably with a side of common sense and a healthy fear of social media algorithms.

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