LinkedinAutomation 0.1
A Python package for remove unwanted linkedin connection.
Requires Python: >=3.6
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

# 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/)

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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
```

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## License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) for more details.

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Thank you for using LinkedinAutomation! We hope it simplifies your breach response efforts.