Linkedin Scraper
Scrapes Linkedin User Data
Installation
pip3 install --user linkedin_scraper
Version 2.0.0 and before is called linkedin_user_scraper
and can be installed via pip3 install --user linkedin_user_scraper
Setup
First, you must set your chromedriver location by
export CHROMEDRIVER=~/chromedriver
Sponsor
Scrape public LinkedIn profile data at scale with Proxycurl APIs.
β’ Scraping Public profiles are battle tested in court in HiQ VS LinkedIn case.
β’ GDPR, CCPA, SOC2 compliant
β’ High rate limit - 300 requests/minute
β’ Fast - APIs respond in ~2s
β’ Fresh data - 88% of data is scraped real-time, other 12% are not older than 29 days
β’ High accuracy
β’ Tons of data points returned per profile
Built for developers, by developers.
Usage
To use it, just create the class.
Sample Usage
from linkedin_scraper import Person, actions
from selenium import webdriver
driver = webdriver.Chrome()
email = "[email protected]"
password = "password123"
actions.login(driver, email, password) # if email and password isnt given, it'll prompt in terminal
person = Person("https://www.linkedin.com/in/joey-sham-aa2a50122", driver=driver)
NOTE: The account used to log-in should have it's language set English to make sure everything works as expected.
User Scraping
from linkedin_scraper import Person
person = Person("https://www.linkedin.com/in/andre-iguodala-65b48ab5")
Company Scraping
from linkedin_scraper import Company
company = Company("https://ca.linkedin.com/company/google")
Job Scraping
from linkedin_scraper import JobSearch, actions
from selenium import webdriver
driver = webdriver.Chrome()
email = "[email protected]"
password = "password123"
actions.login(driver, email, password) # if email and password isnt given, it'll prompt in terminal
input("Press Enter")
job = Job("https://www.linkedin.com/jobs/collections/recommended/?currentJobId=3456898261", driver=driver, close_on_complete=False)
Job Search Scraping
from linkedin_scraper import JobSearch, actions
from selenium import webdriver
driver = webdriver.Chrome()
email = "[email protected]"
password = "password123"
actions.login(driver, email, password) # if email and password isnt given, it'll prompt in terminal
input("Press Enter")
job_search = JobSearch(driver=driver, close_on_complete=False, scrape=False)
# job_search contains jobs from your logged in front page:
# - job_search.recommended_jobs
# - job_search.still_hiring
# - job_search.more_jobs
job_listings = job_search.search("Machine Learning Engineer") # returns the list of `Job` from the first page
Scraping sites where login is required first
- Run
ipython
orpython
- In
ipython
/python
, run the following code (you can modify it if you need to specify your driver)
from linkedin_scraper import Person
from selenium import webdriver
driver = webdriver.Chrome()
person = Person("https://www.linkedin.com/in/andre-iguodala-65b48ab5", driver = driver, scrape=False)
- Login to Linkedin
- [OPTIONAL] Logout of Linkedin
- In the same
ipython
/python
code, run
person.scrape()
The reason is that LinkedIn has recently blocked people from viewing certain profiles without having previously signed in. So by setting scrape=False
, it doesn't automatically scrape the profile, but Chrome will open the linkedin page anyways. You can login and logout, and the cookie will stay in the browser and it won't affect your profile views. Then when you run person.scrape()
, it'll scrape and close the browser. If you want to keep the browser on so you can scrape others, run it as
NOTE: For version >= 2.1.0
, scraping can also occur while logged in. Beware that users will be able to see that you viewed their profile.
person.scrape(close_on_complete=False)
so it doesn't close.
Scraping sites and login automatically
From verison 2.4.0 on, actions
is a part of the library that allows signing into Linkedin first. The email and password can be provided as a variable into the function. If not provided, both will be prompted in terminal.
from linkedin_scraper import Person, actions
from selenium import webdriver
driver = webdriver.Chrome()
email = "[email protected]"
password = "password123"
actions.login(driver, email, password) # if email and password isnt given, it'll prompt in terminal
person = Person("https://www.linkedin.com/in/andre-iguodala-65b48ab5", driver=driver)
API
Person
A Person object can be created with the following inputs:
Person(linkedin_url=None, name=None, about=[], experiences=[], educations=[], interests=[], accomplishments=[], company=None, job_title=None, driver=None, scrape=True)
linkedin_url
This is the linkedin url of their profile
name
This is the name of the person
about
This is the small paragraph about the person
experiences
This is the past experiences they have. A list of linkedin_scraper.scraper.Experience
educations
This is the past educations they have. A list of linkedin_scraper.scraper.Education
interests
This is the interests they have. A list of linkedin_scraper.scraper.Interest
accomplishment
This is the accomplishments they have. A list of linkedin_scraper.scraper.Accomplishment
company
This the most recent company or institution they have worked at.
job_title
This the most recent job title they have.
driver
This is the driver from which to scraper the Linkedin profile. A driver using Chrome is created by default. However, if a driver is passed in, that will be used instead.
For example
driver = webdriver.Chrome()
person = Person("https://www.linkedin.com/in/andre-iguodala-65b48ab5", driver = driver)
scrape
When this is True, the scraping happens automatically. To scrape afterwards, that can be run by the scrape()
function from the Person
object.
scrape(close_on_complete=True)
This is the meat of the code, where execution of this function scrapes the profile. If close_on_complete is True (which it is by default), then the browser will close upon completion. If scraping of other profiles are desired, then you might want to set that to false so you can keep using the same driver.
Company
Company(linkedin_url=None, name=None, about_us=None, website=None, headquarters=None, founded=None, company_type=None, company_size=None, specialties=None, showcase_pages=[], affiliated_companies=[], driver=None, scrape=True, get_employees=True)
linkedin_url
This is the linkedin url of their profile
name
This is the name of the company
about_us
The description of the company
website
The website of the company
headquarters
The headquarters location of the company
founded
When the company was founded
company_type
The type of the company
company_size
How many people are employeed at the company
specialties
What the company specializes in
showcase_pages
Pages that the company owns to showcase their products
affiliated_companies
Other companies that are affiliated with this one
driver
This is the driver from which to scraper the Linkedin profile. A driver using Chrome is created by default. However, if a driver is passed in, that will be used instead.
get_employees
Whether to get all the employees of company
For example
driver = webdriver.Chrome()
company = Company("https://ca.linkedin.com/company/google", driver=driver)
scrape(close_on_complete=True)
This is the meat of the code, where execution of this function scrapes the company. If close_on_complete is True (which it is by default), then the browser will close upon completion. If scraping of other companies are desired, then you might want to set that to false so you can keep using the same driver.