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

⚡ 198 views · 📱 Social Media & Email Marketing

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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

1. Schedule Trigger fires every hour.
2. Select Cookie picks a rotating LinkedIn session-cookie (time-slice logic).
3. Generate Random Search Term (GPT-4o) outputs a realistic AI/BPA keyword.
4. LinkedIn Search Agent (Phantombuster) scrapes recent posts.
5. 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.
6. Builds linkedin_posts_to_comment.csv, uploads to SharePoint, and launches the Auto-comment Agent to post the reply.
7. Post URL is logged to linkedin_posts_already_commented.csv to avoid duplicates.
8. Wait nodes throttle launches to ~120 comments/day.

How to set up

1. Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key.
2. In SharePoint › “Phantombuster” folder create:
   • linkedin_session_cookies.txt – one cookie per line.
   • linkedin_posts_already_commented.csv with header postUrl.
3. Edit Set ENV Variables to set default language, comment prompt, company ID, etc.
4. Adjust schedule or comments-per-launch as needed.
5. 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.

🔗 Nodes Used

Phantombuster, Schedule Trigger, AI Agent, OpenAI Chat Model, Convert to File, Extract from File

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup