#Inspired from https://github.com/hossam-elshabory/LinkedIn-Job-Selenium-Scrapper.git
This Python script allows you to scrape job listings from LinkedIn based on a job title and location. It uses the Selenium web driver and BeautifulSoup to scrape the job postings and store the results in a list of dictionaries, where each dictionary represents a job listing with the following keys: 'title', 'company', 'location', 'link', and 'description'.
Before using this script, you need to install the following Python packages:
- Selenium
- BeautifulSoup
- Pandas
You also need to download the Chrome web driver from the following link:
https://sites.google.com/a/chromium.org/chromedriver/downloads
Make sure to choose the appropriate version for your operating system and Chrome browser.
To use this script, you need to provide the following arguments:
job_title: the job title to search for on LinkedIn
location: the location to search for jobs in on LinkedIn
pages: the number of pages of job listings to scrape (optional, default is 1)
job_title = "data scientist"
location = "New York City"
pages = 3
max_jobs=5
data = scrape_linkedin_jobs("HR", "IND", pages=2, max_jobs=3)
This will scrape the first 3 pages of job listings for "data scientist" jobs in "New York City" and store the results in a list of dictionaries called "jobs".
The output of this script is a list of dictionaries, where each dictionary represents a job listing with the following keys:
Field | Description |
---|---|
title | the job title |
company | the name of the company offering the job |
location | the location of the job |
link | the URL to apply for the job |
description | the description of the job (if available) |
The project has a test_linked_scraper.py file that uses pytest to test the code. To run the tests, you need to install pytest using pip. Here are the steps:
- Open a command prompt or terminal window.
- Change the directory to the location of the project.
- Install pytest by running the following command:
pip install pytest
- Run the tests by running the following command:
pytest test_linked_scraper.py
This will run all the tests in the test_linked_scraper.py file and display the results in the command prompt or terminal window.