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. Ideal for developers looking to integrate Twitter functionality into Python projects or automate their social media presence with ease.
- 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.
PyTweetToolkit can be installed using multiple methods. Choose the one that suits your setup the best.
This is the easiest way to get PyTweetToolkit up and running. Use pip for installation:
pip install PyTweetToolkit
For more details, visit PyTweetToolkit on PyPI.
If you prefer to use the bleeding-edge version, you can install directly from our GitHub repository. First, clone the repository:
git clone https://github.com/DavyJonesCodes/PyTweetToolkit.git
cd PyTweetToolkit
pip install .
Alternatively, you can install directly without cloning, using:
pip install git+https://github.com/DavyJonesCodes/PyTweetToolkit.git
PyTweetToolkit is compatible with Python versions 3.9 and above. This ensures the use of the latest features and improvements in the Python language, providing a better and more efficient experience for developers using PyTweetToolkit.
Make sure you have Python 3.9 or higher installed on your system to use PyTweetToolkit. You can check your Python version by running:
python --version
or, on some systems:
python3 --version
If you need to install a newer version of Python, visit the official Python website for download links and installation instructions.
To use PyTweetToolkit, you'll need to obtain authentication cookies from Twitter's website using your browser's developer tools. Follow these steps to retrieve the required cookies:
-
Login to Twitter: Log in to your Twitter account in your web browser.
-
Open Developer Tools: Once logged in, open the developer tools in your web browser. You can usually access this by right-clicking on the page and selecting "Inspect".
-
Navigate to Application Tab: In the developer tools, navigate to the "Application" or "Storage" tab. This tab contains information about cookies, local storage, and session storage.
-
Find Twitter Cookies: Look for the section that displays cookies. Find the cookies associated with the Twitter website (
https://twitter.com
). These cookies typically includeauth_token
andct0
, among others. -
Locating Cookie Values: Locate the cookies associated with the Twitter website (
https://twitter.com
). Look for cookies namedauth_token
andct0
. -
Extract Cookie Values: Double-click on the value of the
auth_token
cookie to copy it. Similarly, double-click on the value of thect0
cookie to copy it as well. -
Use Cookie Values as Tokens: In your Python script or application, replace
YOUR_AUTH_TOKEN
with the value copied from theauth_token
cookie andYOUR_CSRF_TOKEN
with the value copied from thect0
cookie. These values will serve as your authentication token (auth_token
) and Cross-Site Request Forgery (CSRF) token (csrf_token
), respectively.
For detailed instructions on how to use PyTweetToolkit, refer to the Quick Start section below.
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")
For detailed documentation, including setup guides, examples, and API references, please visit our documentation page.
We welcome contributions to PyTweetToolkit! If you'd like to contribute, please fork the repository and use a pull request to add your changes. For more detailed information, check out our CONTRIBUTING.md.
If you encounter any issues or have questions about using PyTweetToolkit, please submit an issue on our GitHub issue tracker.
PyTweetToolkit is released under the MIT License.