Monitor LinkedIn posts & create AI content digests with OpenAI and Airtable
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 23 nodes and runs on a schedule (every day). Along the way it connects Airtable and OpenAI Chat Model.
How it runs
Trigger: On a schedule (every day).
- Set Date Variables (Edit Fields (Set)): sets 1 field: yesterday
- Daily Check (Airtable): search
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Random Delay (Code): runs custom JavaScript code
- Wait: pauses before continuing
- Get Daily LinkedIn Post (HTTP Request): calls an HTTP API
- If: checks a condition and branches into true / false
- Extract Info (Code): runs custom JavaScript code
- Clean Profile Data (Edit Fields (Set)): sets 1 field: linkedin_profile_clean_urn
- Lookup CB Community (Airtable): search
…plus 6 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 (12)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - Wait
n8n-nodes-base.wait - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - If
n8n-nodes-base.if - No Operation, do nothing
n8n-nodes-base.noOp - Edit Fields (Set)
n8n-nodes-base.set - Airtable
n8n-nodes-base.airtable - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
From the author
Automatically monitor LinkedIn posts from your community members and create AI-powered content digests for efficient social media curation. This template is perfect for community managers, content creators, and social media teams who need to track LinkedIn…