List properties instantly with UploadToURL, OpenAI Vision, WordPress and Airtable
UnknownWhat this workflow does
This AI workflow has 14 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects OpenAI, Airtable, Telegram and Uploadtourl (community).
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- Validate Payload (Code): runs custom JavaScript code
- Has Remote URL? (If): checks a condition and branches into true / false
- Upload To Url: upload file
- Upload To Url: upload file
- Extract CDN URL (Code): runs custom JavaScript code
- GPT-4o Vision - MLS Analysis (OpenAI): uses OpenAI
- Parse Vision & Build Payloads (Code): runs custom JavaScript code
- WordPress - Create Draft Post (HTTP Request): calls an HTTP API (POST)
- Airtable: create
- Merge: merges the data from its input branches
…plus 3 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-uploadtourl is verified or supports 3.0 (used in Upload to URL - Remote, Upload to URL - Binary).
Nodes used (10)
- Webhook
n8n-nodes-base.webhook - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - Upload To Url
n8n-nodes-uploadtourl.uploadToUrl - OpenAI
@n8n/n8n-nodes-langchain.openAi - HTTP Request
n8n-nodes-base.httpRequest - Airtable
n8n-nodes-base.airtable - Merge
n8n-nodes-base.merge - Telegram
n8n-nodes-base.telegram - Respond to Webhook
n8n-nodes-base.respondToWebhook
From the author
Accelerate your real estate marketing by moving from "photo capture" to "published listing" in seconds. This workflow automates the entire listing process by hosting property photos via UploadToURL, using GPT-4o Vision to write professional MLS descriptions,…