Accept all invitations and send first message

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Tags: #linkedin #content #operations #automation #invitation
Author: Florent Ravenel​
Last update: 2023-05-29 (Created: 2022-04-05)
Description: This notebook helps you quickly and easily accept all LinkedIn invitations and send a personalized introductory message to each new connection.
Disclaimer:
This code is in no way affiliated with, authorized, maintained, sponsored or endorsed by Linkedin or any of its affiliates or subsidiaries. It uses an independent and unofficial API. Use at your own risk.
This project violates Linkedin's User Agreement Section 8.2, and because of this, Linkedin may (and will) temporarily or permanently ban your account. We are not responsible for your account being banned.

Input
Import libraries
import naas
from naas_drivers import linkedin
import pandas as pd
Setup Variables
If you are using the Chrome Extension:
​Install Naas Chrome Extension​
​Create a new token​
Copy/Paste your token in your extension
Login/Logout your LinkedIn account
Your secrets "LINKEDIN_LI_AT" and "LINKEDIN_JSESSIONID" will be added directly on your naas everytime you login and logout.
or

If you are not using the Google Chrome Extension, learn how to get your cookies on LinkedIn​
li_at: Cookie used to authenticate Members and API clients
JSESSIONID: Cookie used for Cross Site Request Forgery (CSRF) protection and URL signature validation
cron: Cron params for naas scheduler. More information: https://crontab.guru/
first_message: First message to be send
# Inputs
li_at = naas.secret.get("LINKEDIN_LI_AT") or "YOUR_COOKIE_LI_AT"
JSESSIONID = naas.secret.get("LINKEDIN_JSESSIONID") or "YOUR_COOKIE_JSESSIONID"
cron = "0 * * * *"
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# Outputs
first_message = "Hello, Nice to connect!"
Model
Get invitations received
df_invitation = linkedin.connect(li_at, JSESSIONID).invitation.get_received()
df_invitation
Accept pending invitations received from "Profile"
def accept_new_contact(df):
    df_accept = pd.DataFrame()
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    # Loop
    for index, row in df.iterrows():
        fullname = row.FULLNAME
        status = row.INVITATION_STATUS
        invitation_id = row.INVITATION_ID
        shared_secret = row.SHARED_SECRET
        if status == "PENDING":
            print(fullname)
            tmp_df = linkedin.connect(li_at, JSESSIONID).invitation.accept(
                invitation_id, shared_secret
            )
            df_accept = pd.concat([df_accept, tmp_df])
    return df_accept
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df_accept = accept_new_contact(df_invitation)
df_accept
Send first message to contact
def send_first_message(df):
    # Loop
    for index, row in df.iterrows():
        fullname = row.FULLNAME
        profile_id = row.PROFILE_ID
        print(fullname)
        linkedin.connect(li_at, JSESSIONID).message.send(FIRST_MESSAGE, profile_id)
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send_first_message(df_accept)
Output
Display result
df_accept
Schedule notebook
# Schedule your notebook every hour
naas.scheduler.add(cron=cron)
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# -> Uncomment the line below to remove your scheduler
# naas.scheduler.delete()
Get guests from event
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Last modified 1mo ago