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Employee Count

API endpoint: Employee Count. Part of the Company Intelligence Suite.

View on GitHub
apiEnrichment & ResearchAI-PoweredPowers XlrateSales IntelligenceABM
Original
by Roheel Jain
Nodes

6

Triggers

1

Endpoints

1

Platform

n8n

Tech Stack
LinkedIn API
LinkedIn API
Unipile
n8n
n8n
HTTP API
Part of Suite

Company Intelligence Suite

13 API endpoints for company data extraction from LinkedIn and the web via Unipile API. Employee counts, growth metrics, job openings, leadership changes, and more.

API Endpoint
api/v1/company/Employee-Count/
Workflow
1 trigger4 code1 api
Webhook
Set Response
Code
Code1
Employee Growth
Company LinkedIn Object
How It Works

Automatically tracks and analyzes employee headcount growth for any company using LinkedIn data. Perfect for identifying expanding prospects, competitive intelligence, and market research.

1

Submit company information

Provide the company name or LinkedIn URL you want to analyze. The system accepts your request and begins processing.

2

Retrieve current employee data

The automation connects to LinkedIn to pull the company's current employee count and workforce information.

3

Calculate growth trends

AI analyzes historical data patterns to determine if the company is hiring, downsizing, or maintaining steady headcount.

4

Generate growth insights

The system calculates growth percentages, hiring velocity, and identifies trends over time periods you specify.

5
Attached Files
apiv1companyemployee-count.json

Format results for marketing use

All data is organized into an easy-to-read report with current headcount, growth rate, and actionable insights for your outreach strategy.

What You'll Need

LinkedInUnipile
  • LinkedIn Sales Navigator or Recruiter account for best data access
  • Basic understanding of your target market segments
  • Clear criteria for what employee growth signals matter to your business
  • CRM or database to store the collected intelligence

Estimated Cost per Run

USD 0.02 – 0.10 (Cost varies based on LinkedIn API calls and data complexity. Bulk processing reduces per-company cost.)