PyTweetToolkit 1.0.1

PyTweetToolkit: An intuitive Python library for managing Twitter interactions, providing tools for posting tweets, engaging with users, and analyzing social media metrics. Perfect for automating tasks and integrating Twitter functionality into Python projects.

PyTweetToolkit

PyTweetToolkit is an intuitive Python library designed to simplify Twitter interactions, offering tools for posting tweets, engaging with followers, analyzing social media metrics, and automating various Twitter-related tasks. It's perfect for developers looking to integrate Twitter functionality into Python projects or automate their social media presence with ease.

✨ Features

• 🐦 Tweet Posting: Easily create and post tweets directly from your Python scripts.
• 🤝 User Engagement: Automate following, unfollowing, blocking, and muting operations.
• 📊 Analytics: Analyze tweet performance, follower growth, and engagement metrics.
• 🗓️ Content Automation: Schedule tweets and manage your content strategy programmatically.

🚀 Installation

You can easily install PyTweetToolkit via pip from PyPI:

pip install PyTweetToolkit

Install the latest development version

If you prefer to use the latest development version, you can install it directly from our GitHub repository:

pip install git+https://github.com/DavyJonesCodes/PyTweetToolkit.git

🐍 Supported Python Versions

PyTweetToolkit is compatible with Python versions 3.9 and above. Make sure you have Python 3.9 or higher installed on your system:

python --version

If you need to install a newer version of Python, visit the official Python website for installation instructions.

🔐 Obtaining Authentication Cookies

To use PyTweetToolkit, you'll need to obtain authentication cookies from Twitter's website using your browser's developer tools. Follow these steps:

1. Login to Twitter: Log in to your Twitter account in your web browser.
2. Open Developer Tools: Right-click on the page and select "Inspect" to open the developer tools.
3. Navigate to Application Tab: Go to the "Application" or "Storage" tab in the developer tools.
4. Find Twitter Cookies: Look for the cookies associated with Twitter (https://twitter.com), especially auth_token and ct0.
5. Extract Cookie Values: Copy the values of auth_token and ct0.
6. Use Cookie Values as Tokens: Use these values as auth_token and csrf_token in your Python script.

For detailed usage instructions, refer to the Quick Start section below.

⚡ Quick Start

Here's a quick example to get you started with PyTweetToolkit:

from PyTweetToolkit import PyTweetClient

# Initialize the client with your credentials
client = PyTweetClient(auth_token="YOUR_AUTH_TOKEN", csrf_token="YOUR_CSRF_TOKEN")

# Post a tweet
client.post_tweet("Hello, world! #MyFirstTweet")

# Follow a user
client.follow("python_community")

📚 Documentation

For detailed documentation, including setup guides, examples, and API references, please visit our documentation page.

🤝 Contributions

Contributions are welcome! 🎉 If you'd like to contribute to PyTweetToolkit, feel free to fork the repository and submit a pull request. If you have any questions or need guidance, don't hesitate to contact me at [e-mail].

📄 License

This project is licensed under the MIT License. For more details, see the LICENSE file.

📬 Support

If you have any questions, suggestions, or run into any issues, feel free to open an issue on our GitHub repository or reach out via email at [e-mail]. We're here to help! 😊