Auto-like LinkedIn Posts with GPT-4o, Phantombuster and SharePoint

Who’s it for

Recruiters, B2B marketers, and thought-leadership builders who want to boost their LinkedIn engagement by automatically liking fresh, relevant posts—while staying under LinkedIn’s daily limits.

How it works / What it does

1. Schedule Trigger runs hourly at a specified minute.
2. Select Cookie chooses a rotating LinkedIn session-cookie (time-slice logic).
3. Generate Random Search Term (GPT-4o) outputs a realistic AI/BPA keyword.
4. Phantombuster LinkedIn Content Search Agent scrapes recent posts → Get Posts.
5. Get Random Post selects one post, checks it isn’t already liked (SharePoint CSV) and appends the company-ID query param. If a personal LinkedIn Account is used, no company-ID is needed.
6. Creates linkedin_posts_to_like.csv, uploads to SharePoint, and provides the URL to Autolike Agent which likes the post.
7. The post URL is added to linkedin_posts_already_liked.csv to avoid duplicates.
8. Wait nodes throttle launches to ≈400 likes/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_liked.csv with header postUrl.
3. Update Set ENV Variables with your LinkedIn company ID (ENV_COMPANY_ID_LINKEDIN).
4. Adjust schedule or likes-per-launch as needed.
5. Activate the workflow; it will run hourly and like one new post per launch.

Requirements

• n8n 1.33 +
• Phantombuster Growth plan (API access)
• OpenAI account (GPT-4o)
• Microsoft 365 SharePoint tenant

How to customize

• Change niche: edit the prompt in Generate Random Search Term.
• Like more posts: raise numberOfLinesPerLaunch and schedule frequency.
• Swap SharePoint for Google Drive/Dropbox: replace the upload/download nodes.