# 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]
- Stack Overflow: [Link to relevant tags] -->
## 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 you’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.
Raw data
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