LinkedIn Scraper and API Integration

Overview

This project is a Python-based LinkedIn scraper that automates the process of searching for LinkedIn profiles, extracting relevant information, and integrating with the LinkedIn API to retrieve additional data. The scraper uses Selenium for web automation and requests for API integration.

Prerequisites

• Chrome Driver: Ensure you have the Chrome driver installed and provide its path in chrome_driver_path.
• LinkedIn Credentials: Enter your LinkedIn email and password in mail and paswd respectively.
• LinkedIn API Access: Obtain an access token and cookies for API requests and replace the placeholders in the script.

Requirements

• Python (>=3.6)
• Chrome WebDriver - Ensure the path is correctly set in the code.
• LinkedIn Account
• Selenium

Usage

1. Clone the repository:

2. Run the script:

   browser_automation_script.ipynb
   linkedin_api_script,ipynb
   

Configuration

• Chrome Driver Path: Set the path to your Chrome driver in chrome_driver_path.
• LinkedIn Credentials: Provide your LinkedIn email and password in mail and paswd.
• Search Name: Set the name you want to search in Search_name.
• API Access: Replace the placeholders for access token and cookies with valid values.

Output

The script will generate a CSV file named profile.csv containing the extracted LinkedIn profile information.

LinkedIn API Integration

To use the LinkedIn API, make sure you have obtained the necessary access token and cookies. Replace the placeholders in the API integration section of the script.

LinkedIn API does not offer users information currently. They only offer API for sharing or posting contents and other marketing or lead generation.

The below code is being generated from postman

token = 'Enter the access token'
cookies = 'Enter the cookie that has been generated'

import requests

url = "https://api.linkedin.com/v2/userinfo"

payload = {}
headers = {
    'Authorization': f'Bearer {token}',
    'Cookie': f'{cookies}'
}

response = requests.request("GET", url, headers=headers, data=payload)

print(response.text)