{"workflow":{"id":13635,"name":"List properties instantly with UploadToURL, OpenAI Vision, WordPress and Airtable","views":17,"recentViews":0,"totalViews":17,"createdAt":"2026-02-23T11:58:01.638Z","description":"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, and parallel-publishing the results to **WordPress** and **Airtable**.\n\n## 🎯 What This Workflow Does\n\nTurns on-site property photos into fully-enriched digital listings:\n\n1. **πŸ“ Captures Property Media** - Receives a photo (binary or URL) and basic address metadata via Webhook.\n2. **☁️ Instant CDN Hosting** - **UploadToURL** converts the photo into a permanent, high-speed CDN link for your website.\n3. **πŸ‘οΈ Intelligent Property Analysis** - **GPT-4o Vision** analyzes the image to detect room type, condition scores (1–10), professional feature tags, and lighting quality.\n4. **✍️ Automated Copywriting** - Generates a 2-3 sentence, MLS-compliant description using professional real estate terminology.\n5. **⚑ Parallel Publishing** - Simultaneously creates a draft post in **WordPress** (using Gutenberg blocks) and a new record in your **Airtable** MLS database.\n6. **πŸ“² Instant Agent Confirmation** - Sends a **Telegram** message to the agent with live links to the WordPress draft and Airtable record for immediate review.\n\n## ✨ Key Features\n\n- **UploadToURL Integration**: Native community node hosting ensures your property photos are web-ready instantly without manual resizing or cloud storage management.\n- **Vision-Powered Insights**: AI automatically detects \"premium finishes\" or \"renovation age,\" providing pricing signals without manual entry.\n- **Parallel Execution**: Uses a split-branch logic to publish to multiple platforms at once, significantly reducing total execution time.\n- **Unified Response**: A Merge node assembles the final IDs and URLs from all platforms into a single, clean JSON response.\n- **Audit-Ready MLS**: Every Airtable record is timestamped and includes the original high-res CDN link for external syndication.\n\n## πŸ’Ό Perfect For\n\n- **Real Estate Agencies**: Managing high-volume listings across multiple agents and neighborhoods.\n- **Property Managers**: Quickly documenting unit conditions and updates for internal tracking.\n- **Independent Realtors**: Automating their personal website and CRM directly from their smartphone while on-site.\n- **Property Photographers**: Delivering \"ready-to-publish\" assets to clients with AI-generated metadata already attached.\n\n## πŸ”§ What You'll Need\n\n### Required Integrations\n- **[UploadToURL](https://uploadtourl.com)** - To host property photos and provide CDN links.\n- **n8n Community Node** - `n8n-nodes-uploadtourl` must be installed.\n- **OpenAI API** - GPT-4o Vision for professional image analysis and copywriting.\n- **WordPress** - Basic Auth or Application Password to create draft posts.\n- **Airtable** - Personal Access Token to manage your MLS database.\n\n### Optional Integrations\n- **Telegram** - To receive real-time notifications with links to your new listings.\n\n## πŸš€ Quick Start\n\n1. **Import Template** - Copy the JSON and import it into your n8n canvas.\n2. **Install Node** - Ensure the **UploadToURL** community node is installed.\n3. **Set Credentials** - Link your UploadToURL, OpenAI, WordPress, Airtable, and Telegram accounts.\n4. **Define Variables** - Update n8n variables: `WP_BASE_URL`, `AIRTABLE_BASE_ID`, and `TELEGRAM_CHAT_ID`.\n5. **Prepare Airtable** - Ensure your table has columns for `Listing ID`, `Address`, `Price`, and `MLS Description`.\n6. **Deploy** - Activate the workflow and start publishing properties instantly from the field.\n\n## 🎨 Customization Options\n\n- **Watermarking**: Insert a node to add your agency logo to photos before they are uploaded to the CDN.\n- **Zillow/MLS Sync**: Add a branch to push the AI-generated data to external listing services via API.\n- **Virtual Staging**: Route photos through an AI staging service before hosting them on UploadToURL.\n- **Price Formatting**: Update the code node to support different currencies or regional price display formats.\n\n## πŸ“ˆ Expected Results\n\n- **Save 20-30 minutes per listing** by eliminating manual uploading, writing, and platform syncing.\n- **Improved SEO**: Every property photo includes AI-generated Alt-Text and descriptive filenames.\n- **Better Accuracy**: AI consistently captures features (like \"crown molding\" or \"natural light\") that agents might miss in a rush.\n- **Zero Friction**: Agents can go from taking a photo to having a draft live on the website before they leave the property.\n\n## πŸ† Use Cases\n\n### Rapid Market Entry\nA team of agents can document an entire apartment complex in one afternoon, with every room automatically categorized and described in WordPress by the time they get back to the office.\n\n### Internal Quality Audits\nProperty managers use the condition score (1–10) generated by the AI to prioritize maintenance and renovations across a portfolio.\n\n### Social Media Teasers\nThe AI-generated \"Marketing Blurb\" can be used to instantly trigger a second workflow that posts a property \"sneak peek\" to Instagram or LinkedIn.\n\n## πŸ’‘ Pro Tips\n\n- **Structured Filenames**: The workflow automatically renames files to `{listingId}_{address}.jpg` for better organization and SEO.\n- **Draft Status**: Listings are created as \"Drafts\" in WordPress by default, allowing for a quick \"Human-in-the-loop\" review before going live.\n- **Lighting Analysis**: Use the AI-detected \"Lighting Quality\" field to identify photos that might need professional retouching.\n\n---\n\n**Ready to automate your real estate pipeline?** Import this template and connect **UploadToURL** to start publishing professional listings faster.\n\n**Questions about the Airtable schema?** The workflow includes detailed sticky notes explaining the exact field types required for the MLS record sync.","workflow":{"meta":{"instanceId":"277842713620d9f5554de3b1518b865a152c8c4db680008bd8aec536fc18b4a8"},"nodes":[{"id":"c7c5f8e8-36d4-40a1-92a1-13035bb51e22","name":"πŸ“‹ Overview","type":"n8n-nodes-base.stickyNote","position":[0,0],"parameters":{"width":540,"height":668,"content":"## List properties instantly with UploadToURL, OpenAI Vision, and WordPress\nThe Problem: Real estate agents lose hours manually uploading property photos, writing descriptions, and syncing data between their website and internal MLS.\nThe Solution: An \"upload-and-forget\" pipeline that hosts photos via UploadToURL, uses Vision AI to write professional listings, and publishes to WordPress and Airtable in parallel.\n\nβš™οΈ How it Works\nWebhook: Receives a property photo (Binary or URL) and address metadata.\n\nUploadToURL: Hosts the file and returns a public CDN link for the listing.\n\nGPT-4o Vision: Analyzes the room type, condition, and features to write a description.\n\nParallel Publish: Simultaneously creates a WordPress draft and an Airtable MLS record.\n\nπŸ” Credentials & Setup\nNode: Install n8n-nodes-uploadtourl via Community Nodes.\n\nAPIs: UploadToURL, OpenAI (Vision), WordPress, and Airtable.\n\nVariables: Set WP_BASE_URL and AIRTABLE_BASE_ID"},"typeVersion":1},{"id":"18028c15-b09a-4227-afc0-25e619e0b7dd","name":"Section 1 β€” Upload & Vision","type":"n8n-nodes-base.stickyNote","position":[640,672],"parameters":{"color":7,"width":1160,"height":605,"content":"## 1 β€” Upload & Vision analysis\n\n**Webhook β†’ Validate β†’ Has URL? β†’ Upload to URL (Γ—2) β†’ Extract CDN URL β†’ GPT-4o Vision β†’ Parse Vision**\n\nValidates `listingId`, `address`, and file type. UploadToURL hosts via the native community node. Vision prompt requests MLS-grade output: room type, 1–10 condition score, pricing signals, feature tags, and a ready-to-publish room description."},"typeVersion":1},{"id":"8d117d6f-588b-43b9-afc3-fbaf1f0d7d43","name":"Section 2 β€” Parallel Publish","type":"n8n-nodes-base.stickyNote","position":[1824,560],"parameters":{"color":7,"width":296,"height":659,"content":"## 2 β€” Parallel publish\n\n**WordPress Upsert + Airtable Upsert (run simultaneously)**\n\nBoth branches receive the same enriched payload and run in parallel. WordPress creates or updates a draft post keyed on `listingId` in post meta. Airtable creates or patches the MLS record keyed on `Listing ID`. Neither branch waits for the other β€” both feed into the merge node."},"typeVersion":1},{"id":"74915269-7e8c-482d-9c36-76a6aea3adff","name":"Section 3 β€” Merge & Notify","type":"n8n-nodes-base.stickyNote","position":[2160,672],"parameters":{"color":7,"width":744,"height":537,"content":"## 3 β€” Merge & notify\n\n**Merge β†’ Build Response β†’ Telegram β†’ Respond to Webhook**\n\nA Merge node (mode: combine) waits for both WordPress and Airtable to complete, then assembles a unified response with both platform IDs and URLs. Telegram sends the agent a message with links to both the WordPress draft and the Airtable MLS record."},"typeVersion":1},{"id":"84049e24-09cd-4b16-bc39-81682181df61","name":"Webhook - Receive Property Photo","type":"n8n-nodes-base.webhook","position":[672,960],"webhookId":"property-photo-webhook-001","parameters":{"path":"property-photo-publish","options":{"allowedOrigins":"*"},"httpMethod":"POST","responseMode":"responseNode"},"typeVersion":2},{"id":"7e283ac8-8198-4adb-8a55-4ea15d9702f7","name":"Validate Payload","type":"n8n-nodes-base.code","position":[816,960],"parameters":{"jsCode":"const body = $input.first().json.body || $input.first().json;\n\n// ── Required fields ───────────────────────────────────────────\nconst listingId = String(body.listingId || '').trim();\nif (!listingId) throw new Error('listingId is required (e.g. LST-2025-0042).');\n\nconst address = String(body.address || '').trim();\nif (!address) throw new Error('address is required.');\n\nif (!body.fileUrl && !body.filename) {\n throw new Error('Provide fileUrl (remote photo) or filename (binary upload).');\n}\n\n// ── File type validation ──────────────────────────────────────\nconst filename = body.filename ||\n body.fileUrl?.split('?')[0].split('/').pop() ||\n 'photo.jpg';\nconst ext = filename.split('.').pop()?.toLowerCase() || 'jpg';\nconst allowedExts = ['jpg', 'jpeg', 'png', 'webp', 'heic', 'mp4', 'mov'];\nif (!allowedExts.includes(ext)) {\n throw new Error(`File type .${ext} not allowed. Accepted: ${allowedExts.join(', ')}`);\n}\nconst isVideo = ['mp4', 'mov'].includes(ext);\n\n// ── Price normalisation ───────────────────────────────────────\nconst price = parseFloat(String(body.price || '0').replace(/[^0-9.]/g, '')) || null;\n\n// ── Photo label: allow agent to tag what room this is ─────────\nconst photoLabel = String(body.photoLabel || '').trim() || null;\n\n// ── Structured filename for CDN ───────────────────────────────\nconst safeAddress = address.replace(/[^a-zA-Z0-9]/g, '-').slice(0, 40).toLowerCase();\nconst structuredFilename = `${listingId}_${safeAddress}_${Date.now()}.${ext}`;\n\nconst s = v => String(v || '').trim().slice(0, 500);\n\nreturn [{\n json: {\n listingId,\n address,\n price,\n propertyType: s(body.propertyType) || 'Residential',\n bedrooms: parseInt(body.bedrooms, 10) || null,\n bathrooms: parseFloat(body.bathrooms) || null,\n sqft: parseInt(body.sqft, 10) || null,\n photoLabel,\n isVideo,\n ext,\n filename,\n structuredFilename,\n fileUrl: body.fileUrl || null,\n agentName: s(body.agentName) || 'Unknown Agent',\n agentTelegram: s(body.agentTelegram),\n notes: s(body.notes),\n receivedAt: new Date().toISOString()\n }\n}];"},"typeVersion":2},{"id":"cf86ebd3-a3ac-4cef-abff-22feb7dcae25","name":"Has Remote URL?","type":"n8n-nodes-base.if","position":[944,960],"parameters":{"options":{},"conditions":{"options":{"caseSensitive":false,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"cond-url","operator":{"type":"string","operation":"notEmpty"},"leftValue":"={{ $json.fileUrl }}","rightValue":""}]}},"typeVersion":2},{"id":"b676b860-df5a-4bf8-bcf3-577de8f51d92","name":"Upload to URL - Remote","type":"n8n-nodes-uploadtourl.uploadToUrl","position":[1104,864],"parameters":{"operation":"uploadFile"},"credentials":{"uploadToUrlApi":{"id":"aTtpEWKPdBd8vRfH","name":"Upload to URL account 3"}},"typeVersion":1},{"id":"34659554-53c2-4765-b445-8d5e29d15902","name":"Upload to URL - Binary","type":"n8n-nodes-uploadtourl.uploadToUrl","position":[1104,1024],"parameters":{"operation":"uploadFile"},"credentials":{"uploadToUrlApi":{"id":"aTtpEWKPdBd8vRfH","name":"Upload to URL account 3"}},"typeVersion":1},{"id":"77ec08f8-209f-46af-a6b0-d25cd2b42ff8","name":"Extract CDN URL","type":"n8n-nodes-base.code","position":[1264,960],"parameters":{"jsCode":"const uploadResp = $input.first().json;\nconst meta = $('Validate Payload').first().json;\n\nconst cdnUrl =\n uploadResp.url ||\n uploadResp.link ||\n uploadResp.data?.url ||\n uploadResp.file?.url ||\n uploadResp.shortUrl;\n\nif (!cdnUrl) {\n throw new Error('UploadToURL returned no public URL. Raw: ' + JSON.stringify(uploadResp).slice(0, 300));\n}\n\nreturn [{\n json: {\n ...meta,\n cdnUrl: cdnUrl.replace(/^http:\\/\\//, 'https://'),\n uploadId: uploadResp.id || uploadResp.data?.id || null,\n fileSizeBytes: uploadResp.size || uploadResp.data?.size || null\n }\n}];"},"typeVersion":2},{"id":"7dbd4170-84e1-4e77-898c-7971cf8ce1b2","name":"GPT-4o Vision - MLS Analysis","type":"@n8n/n8n-nodes-langchain.openAi","position":[1392,960],"parameters":{"modelId":{"__rl":true,"mode":"list","value":"ft:gpt-3.5-turbo-0125:bar-juice::91x6k9Fc","cachedResultName":"FT:GPT-3.5-TURBO-0125:BAR-JUICE::91X6K9FC"},"options":{"maxTokens":700,"temperature":0.3},"messages":{"values":[{"role":"system","content":"You are a licensed real estate appraiser and MLS listing specialist. Your job is to analyse property photos and produce structured, MLS-compliant descriptions. Return ONLY a valid JSON object β€” no markdown, no preamble."},{"content":"=Analyse this property photo for a real estate MLS listing.\n\nPhoto URL: {{ $json.cdnUrl }}\nProperty Type: {{ $json.propertyType }}\nAddress: {{ $json.address }}\nAgent-provided room label (may be empty): {{ $json.photoLabel || 'Not provided' }}\nIs video walkthrough: {{ $json.isVideo }}\n\nReturn ONLY this JSON:\n{\n \"roomType\": \"Exact room name: Kitchen, Master Bedroom, Living Room, Exterior Front, Backyard, Bathroom, Garage, etc.\",\n \"conditionScore\": 8,\n \"conditionLabel\": \"Excellent | Good | Fair | Poor\",\n \"mlsDescription\": \"2-3 sentence MLS-ready room description using professional real estate language\",\n \"featureTags\": [\"hardwood floors\", \"crown molding\", \"natural light\"],\n \"pricingSignals\": [\"premium finishes\", \"updated appliances\"],\n \"lightingType\": \"Natural | Artificial | Mixed\",\n \"lightingQuality\": \"Poor | Fair | Good | Excellent\",\n \"altText\": \"SEO-optimised alt text for this photo\",\n \"isExterior\": false,\n \"featuredImageScore\": 7,\n \"renovationVisible\": false,\n \"estimatedRenovationAge\": \"5-10 years | Recent | Original | Unknown\"\n}"}]}},"credentials":{"openAiApi":{"id":"8IkhtT3EbXygnvcr","name":"Mediajade"}},"typeVersion":1.5},{"id":"3055e0a3-9cfb-4bf3-895c-2c1426188ed5","name":"Parse Vision & Build Payloads","type":"n8n-nodes-base.code","notes":"Parses Vision JSON and pre-builds both platform payloads in one pass: WordPress Gutenberg block content and the complete Airtable record object. Both parallel branches just reference these pre-built fields.","position":[1664,960],"parameters":{"jsCode":"const aiRaw = $input.first().json;\nconst meta = $('Extract CDN URL').first().json;\n\n// ── Parse Vision response ─────────────────────────────────────\nlet vision;\ntry {\n const raw =\n aiRaw.message?.content ||\n aiRaw.choices?.[0]?.message?.content ||\n aiRaw.content ||\n aiRaw.text;\n vision = typeof raw === 'string' ? JSON.parse(raw) : raw;\n} catch (e) {\n throw new Error('Failed to parse GPT-4o Vision JSON: ' + e.message);\n}\n\nif (!vision.roomType) throw new Error('Vision did not return a room type.');\n\n// ── Price formatter ───────────────────────────────────────────\nconst priceFormatted = meta.price\n ? meta.price.toLocaleString('en-US', { style: 'currency', currency: 'USD', maximumFractionDigits: 0 })\n : 'Price on request';\n\n// ── WordPress post title & content ───────────────────────────\nconst wpTitle = `${meta.propertyType} β€” ${meta.address}${meta.price ? ' β€” ' + priceFormatted : ''}`;\n\nconst wpContent = [\n `\\n

${vision.roomType}

\\n`,\n `\\n

${vision.mlsDescription}

\\n`,\n vision.featureTags?.length\n ? `\\n\\n`\n : '',\n `\\n
\\n\"${vision.altText}\"\\n
${vision.roomType} β€” ${meta.address}
\\n
\\n`,\n meta.notes ? `\\n

Agent notes: ${meta.notes}

\\n` : ''\n].filter(Boolean).join('\\n\\n');\n\n// ── Airtable fields ───────────────────────────────────────────\nconst airtableRecord = {\n 'Listing ID': meta.listingId,\n 'Address': meta.address,\n 'Price': meta.price,\n 'Price Formatted': priceFormatted,\n 'Property Type': meta.propertyType,\n 'Bedrooms': meta.bedrooms,\n 'Bathrooms': meta.bathrooms,\n 'Sqft': meta.sqft,\n 'Room Type': vision.roomType,\n 'Condition Score': vision.conditionScore,\n 'Condition Label': vision.conditionLabel,\n 'MLS Description': vision.mlsDescription,\n 'Feature Tags': (vision.featureTags || []).join(', '),\n 'Pricing Signals': (vision.pricingSignals || []).join(', '),\n 'Lighting Type': vision.lightingType,\n 'Lighting Quality': vision.lightingQuality,\n 'Photo URL': meta.cdnUrl,\n 'Alt Text': vision.altText,\n 'Is Exterior': vision.isExterior || false,\n 'Featured Score': vision.featuredImageScore,\n 'Renovation Visible': vision.renovationVisible || false,\n 'Renovation Age': vision.estimatedRenovationAge || 'Unknown',\n 'Agent': meta.agentName,\n 'Status': 'Draft',\n 'Created At': meta.receivedAt\n};\n\nreturn [{\n json: {\n ...meta,\n // Vision output\n roomType: vision.roomType,\n conditionScore: vision.conditionScore,\n conditionLabel: vision.conditionLabel,\n mlsDescription: vision.mlsDescription,\n featureTags: vision.featureTags || [],\n pricingSignals: vision.pricingSignals || [],\n lightingType: vision.lightingType,\n lightingQuality: vision.lightingQuality,\n altText: vision.altText,\n isExterior: vision.isExterior || false,\n featuredImageScore: vision.featuredImageScore,\n renovationVisible: vision.renovationVisible || false,\n // Computed\n priceFormatted,\n wpTitle,\n wpContent,\n airtableRecord\n }\n}];"},"typeVersion":2},{"id":"df26a763-2db1-4101-a865-106025b2aee8","name":"WordPress - Create Draft Post","type":"n8n-nodes-base.httpRequest","notes":"Creates a WordPress draft post with Gutenberg block content. All property meta fields are written as post meta for use with a real estate theme or plugin like WP All Import.","position":[1904,848],"parameters":{"url":"={{ $vars.WP_BASE_URL }}/wp-json/wp/v2/posts","method":"POST","options":{"timeout":15000,"response":{"response":{"responseFormat":"json"}}},"jsonBody":"={\n \"title\": {{ JSON.stringify($json.wpTitle) }},\n \"content\": {{ JSON.stringify($json.wpContent) }},\n \"status\": \"draft\",\n \"meta\": {\n \"listing_id\": {{ JSON.stringify($json.listingId) }},\n \"property_address\": {{ JSON.stringify($json.address) }},\n \"property_price\": {{ JSON.stringify($json.priceFormatted) }},\n \"property_type\": {{ JSON.stringify($json.propertyType) }},\n \"room_type\": {{ JSON.stringify($json.roomType) }},\n \"condition_score\": {{ JSON.stringify(String($json.conditionScore || '')) }},\n \"feature_tags\": {{ JSON.stringify($json.featureTags.join(', ')) }},\n \"photo_cdn_url\": {{ JSON.stringify($json.cdnUrl) }},\n \"agent_name\": {{ JSON.stringify($json.agentName) }}\n }\n}","sendBody":true,"specifyBody":"json","authentication":"genericCredentialType","genericAuthType":"httpBasicAuth"},"typeVersion":4.2},{"id":"c3888f4d-8abf-47a9-a09a-146707e151ce","name":"Airtable - Create MLS Record","type":"n8n-nodes-base.airtable","notes":"Creates the MLS record in Airtable simultaneously with the WordPress post. Uses autoMapInputData from the pre-built airtableRecord object in Parse Vision node.","position":[1920,1056],"parameters":{"base":{"__rl":true,"mode":"list","value":""},"table":{"__rl":true,"mode":"list","value":""},"columns":{"value":"={{ $json.airtableRecord }}","mappingMode":"autoMapInputData"},"options":{},"operation":"create"},"typeVersion":2.1},{"id":"c1335f24-0b2b-4d7e-8f0c-9a7f47f9ac31","name":"Merge Platform Results","type":"n8n-nodes-base.merge","notes":"Waits for both WordPress and Airtable to complete before proceeding. Set to 'combine' mode so it only fires once both inputs have data.","position":[2224,960],"parameters":{"mode":"combine","options":{}},"typeVersion":3},{"id":"6961f6ce-7802-4d71-9f6c-2c323fa93e97","name":"Build Unified Response","type":"n8n-nodes-base.code","position":[2400,1008],"parameters":{"jsCode":"// Both inputs arrive as a combined item from Merge\nconst merged = $input.first().json;\n\n// WordPress result is in input[0], Airtable in input[1]\n// With multiplex merge both are accessible\nconst wpResult = $('WordPress - Create Draft Post').first().json;\nconst atResult = $('Airtable - Create MLS Record').first().json;\nconst vision = $('Parse Vision & Build Payloads').first().json;\n\n// ── WordPress ─────────────────────────────────────────────────\nconst wpPostId = wpResult.id || null;\nconst wpEditUrl = wpPostId\n ? `${$vars.WP_BASE_URL}/wp-admin/post.php?post=${wpPostId}&action=edit`\n : null;\nconst wpPreviewUrl = wpResult.link || null;\n\n// ── Airtable ──────────────────────────────────────────────────\nconst airtableRecordId = atResult.id || null;\nconst airtableUrl = airtableRecordId\n ? `https://airtable.com/${$vars.AIRTABLE_BASE_ID}/${$vars.AIRTABLE_TABLE_NAME}/${airtableRecordId}`\n : null;\n\nreturn [{\n json: {\n success: true,\n listingId: vision.listingId,\n address: vision.address,\n priceFormatted: vision.priceFormatted,\n propertyType: vision.propertyType,\n agentName: vision.agentName,\n agentTelegram: vision.agentTelegram,\n // Photo\n cdnUrl: vision.cdnUrl,\n roomType: vision.roomType,\n conditionScore: vision.conditionScore,\n conditionLabel: vision.conditionLabel,\n featureTags: vision.featureTags,\n mlsDescription: vision.mlsDescription,\n lightingType: vision.lightingType,\n lightingQuality: vision.lightingQuality,\n isExterior: vision.isExterior,\n // WordPress\n wpPostId,\n wpEditUrl,\n wpPreviewUrl,\n // Airtable\n airtableRecordId,\n airtableUrl,\n // Meta\n publishedAt: new Date().toISOString()\n }\n}];"},"typeVersion":2},{"id":"e5114a0a-febf-49a4-9f52-1838f4f1888d","name":"Telegram - Agent Confirmation","type":"n8n-nodes-base.telegram","position":[2560,960],"webhookId":"19229c5d-cc56-4092-8b45-75fae592b1b4","parameters":{"text":"=🏠 *Property Photo Published*\n\nπŸ“ *{{ $json.address }}*\n🏷 Listing ID: `{{ $json.listingId }}`\nπŸ’° {{ $json.priceFormatted }} Β· {{ $json.propertyType }}\n\nπŸ“Έ *Room Analysis*\nπŸ›‹ Room: {{ $json.roomType }}{{ $json.isExterior ? ' (Exterior)' : '' }}\n⭐ Condition: {{ $json.conditionScore }}/10 β€” {{ $json.conditionLabel }}\nπŸ’‘ Lighting: {{ $json.lightingType }} / {{ $json.lightingQuality }}\n🏷 Tags: {{ $json.featureTags.slice(0, 4).join(', ') }}\n\nπŸ“ _{{ $json.mlsDescription }}_\n\nπŸ”— *Published to:*\nβ€’ [WordPress Draft]({{ $json.wpEditUrl }})\nβ€’ [Airtable MLS Record]({{ $json.airtableUrl }})\nβ€’ [Photo CDN]({{ $json.cdnUrl }})\n\nπŸ‘€ {{ $json.agentName }}{{ $json.agentTelegram ? 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