Automated Candidate Data Management System by Poun KumarAutomated Candidate Data Management System by Poun Kumar

Automated Candidate Data Management System

Poun Kumar

Poun Kumar

1. Scrape Candidate Data (via external tool)
Trigger: Scheduled (e.g., every day)
Phantombuster / Apify / Clay: Webhooks or API to get new candidate profiles
Node: HTTP Request (GET/POST to fetch leads)
Node: Format JSON data
2. Send Candidate Data to Airtable
Node: Airtable → Create Record
Fields: Name, Role, LinkedIn URL, Source, Status = “New”
3. Monitor Calendly Bookings
Set up Calendly webhook → n8n Webhook Node
On webhook trigger:
Node: Airtable → Find matching candidate by email
Node: Airtable → Update Status to “Booked Intro Call”
Optional: Send Slack/Email alert to recruiter
4. Outreach Messaging Tool (e.g., Waalaxy)
Node: Format message from template
Node: HTTP request to Waalaxy API (if available)
Or: Manual export via webhook to CSV or Google Sheet
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Posted Jun 19, 2025

Automated candidate data scraping and management for recruitment.

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Jan 3, 2025 - Sep 3, 2025