Automatic LinkedIn engagement with AI comments using GPT-4o and Phantombuster

Description

Who’s it for
B2B marketers, recruiters, and personal-brand builders who want to spark
conversations on LinkedIn by automatically posting short, relevant comments on
fresh industry content—while staying under daily limits.

How it works / What it does
Schedule Trigger fires every hour.
Select Cookie picks a rotating LinkedIn session-cookie (time-slice logic).
Generate Random Search Term (GPT-4o) outputs a realistic AI/BPA keyword.
LinkedIn Search Agent (Phantombuster) scrapes recent posts.
Get Random Post chooses one post and passes its text to Create Comment
(GPT-4o) which returns a ≤150-character reply in the chosen language.
Builds linkedin_posts_to_comment.csv, uploads to SharePoint, and launches
the Auto-comment Agent to post the reply.
Post URL is logged to linkedin_posts_already_commented.csv to avoid
duplicates.
Wait nodes throttle launches to ~120 comments/day.

How to set up
Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key.
In SharePoint › “Phantombuster” folder create:
• linkedin_session_cookies.txt – one cookie per line.
• linkedin_posts_already_commented.csv with header postUrl.
Edit Set ENV Variables to set default language, comment prompt,
company ID, etc.
Adjust schedule or comments-per-launch as needed.
Activate the workflow; it will run hourly and comment on one new post each
launch.

Requirements
n8n 1.33 +
Phantombuster Growth plan (API access)
OpenAI account
Microsoft 365 SharePoint tenant

How to customize
Change tone/length: edit the prompt in Create Comment.
Comment more often: raise numberOfLinesPerLaunch and schedule frequency.
Use Google Drive/Dropbox instead of SharePoint by swapping storage nodes.