Auto-like LinkedIn posts with GPT-4o, Phantombuster and SharePoint
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 27 nodes and runs on a schedule (every hour). Along the way it connects Microsoft SharePoint, Phantombuster and OpenAI Chat Model.
How it runs
Trigger: On a schedule (every hour).
- Get Available Session Cookies (Microsoft SharePoint): uses Microsoft SharePoint
- Extract Cookies (Extract from File): extracts data from a file (text)
- Select Cookie (AI Agent): runs an AI agent, with model: OpenAI Chat Model
- Generate Random Search Term (AI Agent): runs an AI agent, with model: OpenAI Chat Model
- Set ENV Variables (Edit Fields (Set)): sets 4 fields: ENV_SEARCH_TERM, ENV_SESSION_COOKIE, ENV_SEARCH_RESULTS_PER_LAUNCH…
- Get Search Agent (Phantombuster): get
- Launch Agent (Phantombuster): uses Phantombuster
- Wait: waits 45 seconds
- Get Posts (Phantombuster): get output
- Wait: pauses before continuing
…plus 14 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (11)
- Wait
n8n-nodes-base.wait - Code
n8n-nodes-base.code - Microsoft SharePoint
n8n-nodes-base.microsoftSharePoint - Phantombuster
n8n-nodes-base.phantombuster - Edit Fields (Set)
n8n-nodes-base.set - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - AI Agent
@n8n/n8n-nodes-langchain.agent - Schedule Trigger
n8n-nodes-base.scheduleTrigger - If
n8n-nodes-base.if - Extract from File
n8n-nodes-base.extractFromFile - Convert to File
n8n-nodes-base.convertToFile
From the author
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…