n8n_8_Revit_IFC_DWG_conversion_extraction_phase_parsing_XLSX
Ceci est unEngineering, Multimodal AIworkflow d'automatisation du domainecontenant 13 nœuds.Utilise principalement des nœuds comme If, Set, ManualTrigger, ExecuteCommand, ReadBinaryFile. Extraire et analyser les données de modèles Revit vers un format Excel structuré
- •Aucun prérequis spécial, prêt à l'emploi après importation
Nœuds utilisés (13)
Catégorie
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"name": "path_to_revit_converter",
"type": "string",
"value": "C:\\Users\\Artem Boiko\\Desktop\\n8n\\cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto-main\\cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto-main\\DDC_Converter_Revit\\RvtExporter.exe"
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"name": "revit_file",
"type": "string",
"value": "C:\\Users\\Artem Boiko\\Desktop\\n8n\\cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto-main\\cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto-main\\Sample_Projects\\2023 racbasicsampleproject.rvt"
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"id": "09957e4d-78e3-43c5-8c53-73bc70d8cdce",
"name": "Extract - Exécuter le convertisseur Revit",
"type": "n8n-nodes-base.executeCommand",
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"parameters": {
"command": "=\"{{$json[\"path_to_revit_converter\"]}}\" \"{{$json[\"revit_file\"]}}\""
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"continueOnFail": true
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{
"id": "b7023aae-b316-47c0-be39-57938aa0c7a4",
"name": "Check - L'extraction a-t-elle réussi ?",
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"operator": {
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"operation": "exists",
"rightType": "any"
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"leftValue": "={{ $node[\"Extract - Run Revit converter\"].json.error }}",
"rightValue": ""
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"name": "Success - Créer le nom de fichier Excel",
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{
"id": "9cbd4ec9-df24-41e8-b47a-720a4cdb733b",
"name": "xlsx_filename",
"type": "string",
"value": "={{ $node[\"Setup - Define file paths\"].json[\"revit_file\"].slice(0, -4) + \"_rvt.xlsx\" }}"
}
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"id": "b04c4618-1565-4551-b154-b9d4d5aa6b39",
"name": "Error - Afficher l'erreur",
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"parameters": {
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"assignments": [
{
"id": "error-message-id",
"name": "error_message",
"type": "string",
"value": "=Extraction failed: {{ $node[\"Extract - Run Revit converter\"].json.error || \"Unknown error\" }}"
},
{
"id": "error-code-id",
"name": "error_code",
"type": "number",
"value": "={{ $node[\"Extract - Run Revit converter\"].json.code || -1 }}"
}
]
}
},
"typeVersion": 3.4
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{
"id": "6010e598-b0de-415b-b812-3dcbf656dd65",
"name": "Extract - Lire le fichier Excel depuis le disque",
"type": "n8n-nodes-base.readBinaryFile",
"position": [
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],
"parameters": {
"filePath": "={{ $json[\"xlsx_filename\"] }}"
},
"typeVersion": 1
},
{
"id": "fabbaaf9-ec88-45eb-866d-e4a3f876a586",
"name": "Extract - Analyser Excel en données",
"type": "n8n-nodes-base.spreadsheetFile",
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"parameters": {
"options": {}
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"name": "Extract Phase Note",
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"parameters": {
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"content": "## 🔷 EXTRACT Phase\n\n**E**xtract data from Revit file:\n1. Setup file paths\n2. Run Revit converter (RVT → Excel)\n3. Check if conversion succeeded\n4. Read Excel file from disk\n5. Parse Excel into structured data"
},
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"parameters": {
"color": 7,
"width": 1908,
"height": 712,
"content": "# ETL with CAD (BIM) \n**Extract. Transform. Load — the future of data processing in construction**\n\nETL (Extract, Transform, Load) is a time-tested and universal approach at the heart of every mature digital infrastructure. When applied to CAD and BIM data, it becomes not just relevant — but essential.\nETL is more than just a technical process. It’s a mindset shift — one that takes BIM out of the siloed world of 3D modeling and into the open world of transparent, interoperable, and machine-readable data. It is this paradigm that powers platforms like [DataDrivenConstruction.io](https://datadrivenconstruction.io) and drives the future of digital transformation in the built environment.\n"
},
"typeVersion": 1
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"parameters": {
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"content": "⭐ **If you find our tools helpful**, please **consider starring** our repository on [GitHub](https://github.com/datadrivenconstruction/cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto). \n\nYour support helps us improve and continue developing open solutions for the community!\n"
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"content": "## ⬇️ Only modify the variables here \neverything else works automatically"
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}Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Intermédiaire - Ingénierie, IA Multimodale
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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Artem Boiko
@datadrivenconstructionFounder DataDrivenConstruction.io | AEC Tech Consultant & Automation Expert | Bridging Software and Construction
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