Block 1 - Workflow Description
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Enrich CRM Leads with LinkedIn Company Data Using AI Who's it for Sales teams, marketers, and business development professionals who need to automatically enrich their CRM records with detailed ...
n8n-nodes-base.stickynote, n8n-nodes-base.airtable, n8n-nodes-base.httprequest, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.openai
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Amirul Hakimi.
Original n8n.io sourceSales teams, marketers, and business development professionals who need to automatically enrich their CRM records with detailed company information from LinkedIn profiles. Perfect for anyone doing B2B outreach who wants to personalize their messaging at scale.
This workflow transforms bare-bones lead records into rich, personalized prospect profiles by:
The workflow pulls company overviews, products/services, funding information, recent posts, and converts everything into natural-language variables that can be dropped directly into your outreach templates.
Configure Airtable Connection
YOUR_AIRTABLE_BASE_ID with your base IDYOUR_TABLE_ID with your leads table IDAdd OpenAI Credentials
Set Up Trigger
Test the Workflow
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Enrich CRM Leads with LinkedIn Company Data using GPT-4 and Airtable |
|---|---|
| Complexity | intermediate |
| Nodes | 14 |
| Categories | Lead Generation, AI Summarization |
| Author | Amirul Hakimi |
| Published | 07 Oct 2025 |
Use the JSON export at /data/workflows/9354/9354.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Enrich CRM Leads with LinkedIn Company Data Using AI Who's it for Sales teams, marketers, and business development professionals who need to automatically enrich their CRM records with detailed ...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Generation, AI Summarization use case.