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

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/andre-iguodala-65b48ab5", 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")

Scraping sites where login is required first

Run ipython or python
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.

mohsinalimat / linkedin_scraper Goto Github PK