Employee result from UMSNH

201-500 employees found.

Here are 10 random employees from UMSNH

A*** A********

Profesor Investigador de Tiempo Completo

A******** S*********

Maestra Economía

M******* B**********

Docente

P**** V*********

Academico

O********** M******

Investigador

S******** M*********

Catedratico

S******* G*****

Profesor e Investigador

m******** g**********

Full Professor

D******* C*********

Masters Student

M***** R**********

Estudio Maestría

Disclaimer: PII is redacted in all entries, including the "visible" ones as this is a public-facing website. When you use our endpoint, you will get complete information.

Get the list of employees for UMSNH

Proxycurl is a developer's tool to integrate People/Company related data into their applications


import requests

api_endpoint = 'https://nubela.co/proxycurl/api/linkedin/company/employees/'
api_key = 'YOUR_API_KEY'
header_dic = {'Authorization': 'Bearer ' + api_key}
params = {
    'employment_status': 'current',
    'url': 'https://www.linkedin.com/company/nubela',
}
response = requests.get(api_endpoint,
                        params=params,
                        headers=header_dic)

Get API Key and run code

Featured Articles

Here's what we've been up to recently.

View all

Ultimate Guide To The LinkedIn API: People Profile API (with Python Examples)

Learn all about the LinkedIn API, with comprehensive Python code demos. Dive into the world of LinkedIn APIs, official and third-party alternatives, and understand how to access and utilize LinkedIn profile data through Python code examples.