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LinkedIn_JobFinder

This is a Python-based LinkedIn Job Scraper that scrapes job postings from LinkedIn based on a given location and job title. The project is built using BeautifulSoup for web scraping and NumPy for data processing.

Features

  1. Scrapes LinkedIn job postings based on user-specified location and job title.
  2. Extracts job title, company name, location, and job posting link.
  3. Flexible input for different job titles and locations.

Prerequisites

Before running the scraper, make sure you have the following installed:

  1. Python 3.x
  2. BeautifulSoup (for web scraping)
  3. NumPy (for data manipulation)
  4. Pandas (for data reading)

How to Run?

  1. Click on Open in Colab.
  2. Run all the Cells sequence wise.

Output

The scraper will print the job listings in the terminal and save them in a .csv file containing:

  1. Job Title
  2. Company Name
  3. Job Location
  4. Link to Job Posting
  5. No of people applied