LinkedIn AI Candidate Search & Ranker

LinkedIn AI Candidate Search & Ranker

Automate the first pass of your recruitment funnel. Provide a job description, pull matching candidate profiles from the LinkedIn People Search API, let an LLM score each one 1–10 against your ICP, and get a ranked shortlist in Slack — all without opening LinkedIn manually.

What this workflow does

1. JobDescription — enter the role title, must-have skills, and seniority level
2. SearchLinkedIn — POST to the LinkedIn People Search API with extracted keywords
3. IterateCandidates — Loop over each returned profile
4. RankCandidate — LLM scores the profile 1–10 against the job description and writes a one-line rationale
5. CandidateScore — Set node normalises the score and contact URL
6. TopCandidates — Output captures the full ranked list when the loop finishes
7. NotifyHR — Slack posts the top 5 shortlisted candidates to your hiring channel

Use cases

• Inbound sourcing: rank applicants from a parsed ATS export
• Outbound sourcing: search LinkedIn for passive candidates matching a niche role
• Bulk re-ranking when a job description changes

Setup

1. Get a LinkedIn API access token (via the LinkedIn Developer Portal) and add it as Authorization: Bearer YOUR_TOKEN in the SearchLinkedIn HTTP node.
2. Connect an OpenAI-compatible credential in the RankCandidate LLM node.
3. Add a Slack credential and set your hiring channel in the NotifyHR node.
4. Edit the JobDescription textInput with a real role spec before the first run.

Notes

• LinkedIn API rate limits apply — add a Wait node between iterations for large searches.
• Swap the LinkedIn HTTP node for an Apollo.io or Hunter.io endpoint to enrich without a LinkedIn developer account.
• The LLM score is advisory; always review the rationale before outreach.