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
- Schedule Trigger runs hourly at a specified minute.
- Select Cookie chooses a rotating LinkedIn session-cookie (time-slice logic).
- Generate Random Search Term (GPT-4o) outputs a realistic AI/BPA keyword.
- Phantombuster LinkedIn Content Search Agent scrapes recent posts → Get Posts.
- 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.
- Creates
linkedin_posts_to_like.csv, uploads to SharePoint, and provides the URL to Autolike Agent which likes the post.
- The post URL is added to
linkedin_posts_already_liked.csv to avoid duplicates.
- Wait nodes throttle launches to ≈400 likes/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_liked.csv with header postUrl.
- Update Set ENV Variables with your LinkedIn company ID (
ENV_COMPANY_ID_LINKEDIN).
- Adjust schedule or likes-per-launch as needed.
- 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.
