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This repository contains a Python script to automate sending connection requests on LinkedIn using Selenium. It supports logging in with cookies or credentials, selecting location filters, and sending personalized connection requests. The tool is configurable via an ini file and uses color-coded console outputs for better readability.

Python 100.00%
automation connector linkedin linkedin-automation linkedin-scraper python selenium

linkedin-auto-connector's Introduction

LinkedIn Connection Automation Tool

This repository contains a Python script to automate sending connection requests on LinkedIn using Selenium. It supports logging in with cookies or credentials, selecting location filters, and sending personalized connection requests. The tool is configurable via an ini file and uses color-coded console outputs for better readability.

Features

  • Login using LinkedIn cookies or credentials
  • Select location filters for connection requests
  • Send personalized connection requests
  • Configurable via setup.ini file
  • Color-coded console outputs for better readability

Installation

  1. Clone the repository:

    git clone https://github.com/ahmedmujtaba1/Linkedin-Auto-Connector.git
    cd Linkedin-Auto-Connector
  2. Install the required packages:

    pip install -r requirements.txt
  3. Configure your LinkedIn credentials and settings in the setup.ini file:

    [LinkedIn]
    li_at = YOUR_LI_AT_COOKIE_HERE
    email = YOUR_EMAIL_HERE
    password = YOUR_PASSWORD_HERE

Usage

  1. Run the script:

    python script.py
  2. Follow the prompts to enter your search criteria and connection request details.

How to Get li_at LinkedIn Cookies

  1. Open Chrome and log in to your LinkedIn account.
  2. Press F12 or Ctrl+Shift+I to open Developer Tools.
  3. Go to the Application tab.
  4. In the left sidebar, under Storage, click on Cookies and then select https://www.linkedin.com.
  5. Look for the li_at cookie in the list.
  6. Copy the value of the li_at cookie and paste it into the setup.ini file under [LinkedIn].

Contributing

  1. Fork the repository.
  2. Create your feature branch (git checkout -b feature/AmazingFeature).
  3. Commit your changes (git commit -m 'Add some AmazingFeature').
  4. Push to the branch (git push origin feature/AmazingFeature).
  5. Open a pull request.

Contact

Ahmed Mujtaba - Your LinkedIn Profile

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