(5/5)

Search LinkedIn companies and add them to Airtable CRM

Automated workflow: Search LinkedIn companies and add them to Airtable CRM. This workflow integrates 9 different services: stickyNote, httpRequest, airtable, splitOut, set. It contains 20 nodes and follows best practices for error handling and security.

Integrations Used (2)

HTTP Request

Airtable

Workflow Structure (10 nodes)

100%

Manual Trigger

When clicking ‘Test workflow’

Set

Set Variables

Http Request

Search Companies

Split Out

Extract Company Data

Split In Batches

Process Each Company

Http Request

Get Company Info

Filter Valid Companies

Airtable

Check If Company Exists

Is New Company?

Airtable

Add Company to CRM

Node Types:

trigger

logic

http

action

transform

Requires credentials

Prerequisites

Required Credentials (2)

Airtable Token

Used by: Check If Company Exists, Add Company to CRM

Docs

HTTP Header Auth

Used by: Get Company Info, Search Companies

Docs

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~35 min

Score: 51/100

Conditional Logic

Loops

When to Use This Workflow

Automated Reporting

Automatically collect and organize data into spreadsheets for analysis.

Spend less time on data entry and more time on insights.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Sales Automation

Automate lead capture, follow-ups, and CRM updates to close more deals.

Focus on selling, not on manual data entry and tracking.

workflow.json

{
  "id": "NOycL25YOISt8OLU",
  "meta": {
    "instanceId": "workflow-f6909c9a",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:54.143746",
    "updatedAt": "2025-09-29T07:07:54.143761",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Search LinkedIn companies and add them to Airtable CRM",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...