linkedin-job-scraper 0.0.2

Web scraper of jobs from LinkedIn

Overview

A Python package with a web scraper of jobs from LinkedIn.

Can be used for:

• automated jobs search 🔍
• creating custom alerts 🚨
• collecting data for analytical reports 📈

Possible extention: extract keywords from job descriptions with LLMs.

Classes

JobSearch - to get a list of jobs from LinkedIn job search page by defined parameters.

Parameters:

• keywords: keywords to search for.
• location: location to search in.
• distance (optional): distance in miles to search for.
• work_modes (optional): work modes codes to filter by: 1 - On-site, 2 - Remote, 3 - Hybrid, None - all.
• company_codes (optional): companies codes to filter by.
• industries (optional): industries codes to filter by.
• experience_levels (optional): experience levels to filter by: 1 - Internship, 2 - Entry level, 3 - Associate, 4 - Mid-Senior level, 5 - Director, 6 - Executive.
• easy_apply (optional): filter only Easy Apply jobs.
• posted_ago_max (optional): max number of second a job was posted ago, default 1 day.

Job - to parse the job page by a given url.

How to use

from selenium import webdriver

driver = webdriver.Chrome()

params = {
    'keywords': 'Data Engineer',
    'location': 'Germany'
}
search = JobSearch(driver, **params)

jobs = search.get_jobs() # returns the list of dicts with parsed info (position, company name, job page link, posted ago and etc.)
job = Job(driver, jobs[0]['job_link'])
description = job.get_job_description()

An extended example can be found in example.ipynb notebook.