Social_Media_Scraper

Linkedln Profile Scraper

#Data extracted:

--> Name
--> Profile_Title
--> Location
--> Latest Work Profile name
--> Company Name
--> No of years working in the company
--> College name
--> Degree name

#Files:

--> Chromedriver.exe : Web driver by chrome.
--> Input: user_pwd.txt : -> Store the creditionals of the linkedln account
--> Input: link.txt : -> Store the url link of the profile whose data has to be  scraped.
--> Output: result.txt : -> Store the details of the data scraped.

Any library can be used:

1.selenium
2.webdriver
3.BeautifulSoup

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Twitter Profile Scraper

Steps:

python tweet.py "Twitter User Name" --browser "Browser"

--> Twitter User name - The user whose data needs to be scraped should be replaced with this value

--> Browser - The browser you want to use to scrap the data should be replaced with this value. The Browser can be firefox or Chrome

Libraries Required

--> Selenium

pip install selenium

--> fake-headers

pip install fake-headers

--> webdriver-manager

pip install webdriver-manager