auto-linkedin v1.1.3

Auto LinkedIn

Auto LinkedIn is a project that provides automation for LinkedIn using Node.js and Puppeteer. This project helps you save time by automating various tasks on LinkedIn.

Features

• Sign in functionalities
• Search user profiles with keywords, network distance etc.
• Sending connection requests
• Visit profiles
• Company invitations
• (Work In Progress) Sending messages

Installation

Prerequisites

• Make sure you have Node.js and npm installed. Node.js Installation
• Puppeteer library is used, which requires Chrome browser for automation.

Installation Steps

1. Create a new directory

mkdir linkedinAutomationProject
cd linkedinAutomationProject

2. Install NPM

npm init -y

3. Install package:

npm install auto-linkedin

Methods and objects

Usage

1. Create a linkedin client and login:

const client = new LinkedIn()
await client.login(process.env.USERNAME, process.env.PASSWORD)

//-- Console
// [TASK] Login
//   New Browser created.
//   Login completed.

Follow the console even though there is an extra instruction.

2. Search for users with keyword and 2. network distance (200 limit):

const profiles = await client.searchPeople({
   keywords: 'venture capital',
   network: ['S']
}, 200)

// profiles = [LinkedinProfile, LinkedinProfile, ...]

//-- Console
// [TASK] Search People: 200 ({"keywords":"venture capital","network":["S"]})
//   Page: 1/30 -> 10
//   Page: 2/30 -> 10
//   Page: 3/30 -> 10
//   Page: 4/30 -> 10
// ....
//   Search complete: 200

You can use profile methods or access properties like name, url, title etc.

3. Send connection request with a note:

for (let p of profiles) {
   await p.connectionRequest(client, 'Hi! Please accept my request')
}

//-- Console
// [TASK] Conection request: Test User - test-user
//   Connection request send to Test User (test-user)
//....

Contact

For any questions or feedback about the project, please contact us through GitHub or emir@akatron.net

Contributions

If you would like to contribute, please feel free to submit a pull request. We welcome any contributions!

License

This project is licensed under the GNU General Public License v3.0. See the LICENSE file for more information.