Run headless setup on GitHub Actions

[adgsenpai]

To the developer thank you for making such an awesome library for me to use. Running locally on the web browser / authenticated to LinkedIn everything works.

When running my script on a Cloud Service it prompts me with CHALLENGE

How would i go making this script headless?

Code is provided below

from linkedin_api import Linkedin
import base64
import pandas as pd
import database as db
import datetime as dt

# Authenticate using any Linkedin account credentials
def ProcessJobSpecs():
    username = 'mysuperusername'
    pwd = b'REDACTED'
    pwd = base64.b64decode(pwd)
    api = Linkedin(username, pwd)
    company = api.search_companies('Google')
    jobs = api.search_jobs('Google')

    # with headers jobid, jobTitle, jobDescription create empty dataframe
    df = pd.DataFrame(columns=['jobid', 'jobTitle', 'jobDescription', 'datetime'])
    # loop through jobs and get job description
    for job in jobs:    
        datetime = dt.datetime.now()
        jobTitle = job['title']    
        jobid = job['dashEntityUrn'].split(':')[-1]
        jobDetails = api.get_job(jobid)
        jobspec = jobDetails['description']['text']
        df = df.append({'jobid': jobid, 'jobTitle': jobTitle, 'jobDescription': jobspec, 'datetime': datetime}, ignore_index=True)

    for index, row in df.iterrows():
        data = {'jobid': row['jobid'], 'jobtitle': row['jobTitle'], 'jobdescription': row['jobDescription'], 'DateTime': row['datetime']}
        # sanitize data escape single quotes
        data['jobtitle'] = data['jobtitle'].replace("'", "''")
        data['jobdescription'] = data['jobdescription'].replace("'", "''")
        print(db.InsertJobSpec(data)) 
    return 'Job Specs Processed'

ProcessJobSpecs()