Generate LinkedIn activity reports via Slack commands with GPT-4.1 and email
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 16 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects Gmail, Slack, OpenAI Chat Model and Apify (community).
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Do we have a full name ? (Text Classifier): classifies text into categories with AI, with model: GPT 4.1-mini for classification
- Extract firstName and lastName (Information Extractor): extracts structured fields from text with AI, with model: GPT 4.1-mini to extract firstName + lastName
- Tell on slack that no full name was found (Slack): uses Slack
- Find Linkedin Profile (Apify): uses Apify
- Get Linkedin Profile URL (Apify): work with datasets
- Scrap what this person posted recently (Apify): uses Apify
- Structure recent posts (Apify): work with datasets
- Aggregate: combines items into one
- Summer McBriefing (AI Agent): runs an AI agent, with model: GPT 4.; output parser: Structured Output Parser
- HTML: parses or builds HTML
…plus 1 more step. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @apify/n8n-nodes-apify is verified or supports 3.0 (used in Get Linkedin Profile URL, Find Linkedin Profile, Scrap what this person posted recently).
Nodes used (11)
- Webhook
n8n-nodes-base.webhook - Aggregate
n8n-nodes-base.aggregate - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - AI Agent
@n8n/n8n-nodes-langchain.agent - HTML
n8n-nodes-base.html - Gmail
n8n-nodes-base.gmail - Slack
n8n-nodes-base.slack - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Text Classifier
@n8n/n8n-nodes-langchain.textClassifier - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - Apify
@apify/n8n-nodes-apify.apify
From the author
This workflow helps Customer Success Managers and customer success professionals quickly gather intelligence on clients or prospects by analyzing their recent LinkedIn activity via a simple Slack command. Who's it for CSMs, Account Managers, and Sales…