Metadata-Version: 2.1
Name: linkedScraper
Version: 0.0.2
Summary: A package to scrape LinkedIn!
Home-page: https://github.com/noahxl10/linkedin-scraper
Author: Noah Alex
Author-email: noahxl10@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.1
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: parsel
Requires-Dist: selenium

## Welcome to the LinkedIn Scraper!

### This package allows one to scrape LinkedIn for both profile data and company data

### You need to have Chrome Version 85 installed


### To install the scraper: 

```
$ pip install linkedScraper
```

### You always need to run the logon function first, this gets passed the sign-on page:

```
from linkedScraper import scraper

scraper.logon(LinkedIn_email, LinkedIn_passwod)

```
### To scrape a profile:

```

profile_info = profilescaper(Profile_URL)

# returns an array of [name, about, job]
```


### To scrape a profile:
#### For company scraping, the url format is: 
#### https://www.linkedin.com/company/THECOMPANYNAME

```
company_info = companyscraper(urls)

# returns a dataframe of all the information on a company's abuot page

```


