ravithemore/Linkedin_Scraper_2022

LinkedIn scraping usually comes in as the second step of a lead generation strategy. Not only can you automate the profile scraping itself, but you can also automate the process of finding the right profiles to scrape data from.

LinkedIn Scraper 2022

This is the new update concerning the data scraping from LinkedIn.

Tools used for this project

• Python
• Selenium
• parsel
• iPython

To contribute, you know the story,

• Fork
• Clone

  •   git clone https://github.com/<your github username>/linkedin-scraper.git
    

• Make commits and PRs

  •   git add .
      git commit -m "message"
      git push
    

System Setup

• Download dependencies

      pip install -r requrements.txt
  

• Create a .env file with the following variables:

      LINKEDIN_USERNAME=**************
      LINKEDIN_PASSWORD=**************

• Run the scraper

      python main.py

  The scraper will automatically login and scrape the data.

You will notice a results.csv file in the root directory, open and see the data. Play around with the code from varibles.py modify the xpath data in the main file to scrape more and different data.

Add me a start and fork the repository.