Track and store open job listings with Firecrawl, OpenAI, and Airtable

by Luka Margiani ✓ · 1 views · created 2026-10-02 · HR, AI Summarization

What this workflow does

This AI workflow has 17 nodes and runs on a schedule (every week at 09:00). Along the way it connects Airtable and OpenAI. It also calls api.firecrawl.dev over HTTP.

How it runs

Trigger: On a schedule (every week at 09:00).

1. Fetch Known Vacancies from Airtable (Airtable): search
2. Fetch Organisations from Airtable (Airtable): search
3. Merge: merges the data from its input branches
4. Batch Process for Organisations (Loop Over Items (Split in Batches)): loops over the items in batches
5. Batch Process for New Roles (Loop Over Items (Split in Batches)): loops over the items in batches
6. If: checks a condition and branches into true / false
7. Append Vacancy to Airtable (Airtable): create
8. Verify Career URL Status (HTTP Request): calls an HTTP API (HEAD)
9. Post to Firecrawl for Discovery (HTTP Request): calls api.firecrawl.dev (POST)
10. If: checks a condition and branches into true / false

…plus 6 more steps. See the full node list below.

Services it uses

AirtableOpenAI

HTTP calls to: api.firecrawl.dev

Uses Firecrawl. New users get 10% off with our link.

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Nodes used (10)

• Schedule Triggern8n-nodes-base.scheduleTrigger
• Airtablen8n-nodes-base.airtable
• HTTP Requestn8n-nodes-base.httpRequest
• OpenAI@n8n/n8n-nodes-langchain.openAi
• Loop Over Items (Split in Batches)n8n-nodes-base.splitInBatches
• Split Outn8n-nodes-base.splitOut
• Mergen8n-nodes-base.merge
• Ifn8n-nodes-base.if
• Coden8n-nodes-base.code
• Edit Fields (Set)n8n-nodes-base.set

From the author

Quick overview This workflow runs weekly to keep an Airtable jobs database up to date by validating or discovering each organisation’s career page with Firecrawl, extracting open roles with OpenAI, and creating new vacancy records while skipping roles that…

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