Back to Sync website crawl deltas into Qdrant with Apify and OpenAI embeddings
Card snapshot
n8n-workflow-19911.n8n.io
·
2026-10-06 11:14:56 UTC
·
3050541fa1dba494945e6ae6759684a8731b2a6aa086ad30119a854cecf662a1
This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.
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},
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},
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"label": "How Common Knowledge use workflow automation for activism"
},
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"label": "Creating scheduled text affirmations with n8n"
},
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"label": "How Goomer automated their operations with over 200 n8n workflows"
},
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"label": "7 no-code workflow automations for Amazon Web Services"
}
],
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},
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"name": "n8n-nodes-base.wait",
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},
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}
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}
},
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{
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],
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]
},
{
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"icon": "file:code.svg",
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"data": {
"alias": [
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"JS",
"Python",
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],
"details": "The Code node allows you to execute JavaScript in your workflow.",
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{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
}
]
},
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}
}
},
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"typeVersion": 2,
"nodeCategories": [
{
"id": 5,
"name": "Development"
},
{
"id": 9,
"name": "Core Nodes"
}
]
}
]
},
"detail": {
"description": "Quick overview This workflow triggers on a completed Apify Website Content Crawler run, syncs the crawl dataset into a Qdrant collection using OpenAI embeddings, then compares vector counts and parses the Apify run logs to report what chunks were added, refreshed, or deleted. How it works 1. Triggers when an Apify Website Content Crawler actor run finishes. 2. Calls the Qdrant Collections API to read the current point count in the target collection as a pre-sync baseline. 3. Starts an Apify Qdrant Integration actor run to upsert the crawl dataset into Qdrant, generating embeddings with OpenAI and applying delta updates plus deletion of expired chunks. 4. Waits 30 seconds to allow the Qdrant sync to finish settling. 5. Calls the Qdrant Collections API again to read the post-sync point count. 6. Fetches the Apify actor run logs and outputs a freshness report with vectors-before/after and the counts of chunks added, refreshed, and deleted. Setup 1. Create and select an Apify API credential for the Apify Trigger, the sync run request, and the log request. 2. Set environment variables QDRANTAPIKEY and OPENAIAPIKEY, and allow env access in nodes (for example by setting N8NBLOCKENVACCESSINNODE=false if required by your n8n deployment). 3. Replace https://YOUR-CLUSTER.qdrant.io:6333 with your Qdrant endpoint in all Qdrant URLs and in the sync request body, and ensure the docs collection name matches your intended collection (or allow auto-create). 4. Ensure the Apify Website Content Crawler actor is available in your Apify account and run it once so the trigger can be configured and tested."
}
}