Metadata-Version: 2.1
Name: LinkedinAutomation
Version: 0.1
Summary: A Python package for remove unwanted linkedin connection.
Author: Ranjeet Aloriya
Author-email: ranjeet.aloriya@gmail.com
Keywords: breach response,breach notification,notification lists,data consolidation,unique identifiers,affected parties,data merging,efficiency tools,duplicate notifications incident response,document review,data consolidation,unique identifiers,affected parties,data merging,efficiency tools,duplicate notifications,incident response,breach response
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Natural Language :: English
Classifier: Environment :: Console
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: datetime
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: pyGithub
Requires-Dist: polars
Requires-Dist: selenium
Requires-Dist: python-dotenv

# LinkedinAutomation

## What LinkedinAutomation Does

LinkedinAutomation is a Python package designed for remove unwanted linkedin connection.

## Key Features

- **Remove Conncetion**: Easily remove unwanted connections.
- **Store Data**: Automatically generate two files for stored removed connection data and checked connection data.
- **User-Friendly API**: Simple methods for quick integration into your projects.

## How to Install LinkedinAutomation

To install this package, run:

```bash
pip install LinkedinAutomation
```

## Get Started Using LinkedinAutomation

### Quick Code Demo

Here's a quick example to demonstrate how to use the package after installation:

```python
import LinkedinAutomation as la

# Display help information
nl.help()
```

Output:
```
You will get contact information.
```

### Ensure the give all requires variables



### Generating Unique IDs

You can generate unique IDs based on contact names with the following method:

```python
import LinkedinAutomation as la

# Generate unique IDs from a CSV file
la.removeconnection(u_name = "your username",
                    pswd = "your password",
                    start_from = 0,
                    checked = "checked_connection.csv",
                    removed = "removed_connection.csv",
                    chrome_driver = "chromedriver.exe")
```

Output:
```
Basis on reply, tenure unwanted connection will be removed.
```




## Maintainer

- [Ranjeet Aloriya](https://www.linkedin.com/in/ranjeet-aloriya/)

<!-- ## Community

Join our community to discuss features, share your projects, or seek help:

- GitHub Discussions: [Link to Discussions]
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## How to Cite LinkedinAutomation

If you use LinkedinAutomation in your research or projects, please cite it as follows:

```
Your Name, Collaborator's Name. (Year). LinkedinAutomation: A Python Package for Remove unwanted connections. GitHub. URL
```

<!-- ## Contribution Guidelines

We welcome contributions to LinkedinAutomation! Please follow these guidelines:

1. **Fork the repository**: Create your own fork of the project.
2. **Create a feature branch**: Make a new branch for your feature or bug fix.
3. **Make your changes**: Implement your changes in your branch.
4. **Submit a pull request**: Once youâ€™re ready, submit a pull request for review.

For detailed contribution instructions, check the [CONTRIBUTING.md](link-to-contributing-file). -->

## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) for more details.

---

Thank you for using LinkedinAutomation! We hope it simplifies your breach response efforts.
