Convert CAD & BIM (Revit, IFC, AutoCAD) into a Database (DataFrame)

A minimal workflow to convert a **Revit/IFC/DWG** project into analysis-ready **XLSX** (and optional **DAE**) with a single run. Set two variables, execute, and the converter does the rest. ## What it does - **Inputs:** `path_to_converter` and `path_project_file` (RV/IFC/DWG). - **Runs:** `RvtExporter.exe <converter> <project_file>`. - **Outputs:** writes `<ProjectName>_rvt.xlsx` (and `*_rvt.dae` if enabled by your converter). ## Prerequisites - **Windows** host (local executable + filesystem). - DDC Revit toolkit installed: `C:\\DDC_Converter_Revit\\datadrivenlibs\\RvtExporter.exe`. - A local project file you can read. ## How to use 1. **Import** this JSON into n8n. 2. Open **“Set path to file and converter”** and set: - `path_to_converter`: `C:\\DDC_Converter_Revit\\datadrivenlibs\\RvtExporter.exe` - `path_project_file`: e.g., `C:\\Sample_Projects\\your_project.rvt` 3. Run **Manual trigger** — the command node executes the converter. ## Notes & tips - Ensure the path points to the executable inside **`datadrivenlibs`**. - Use ASCII-safe paths; ensure write permissions next to the project file. - This is intentionally **simple**: chain it with your own **Parse/Transform/Load** steps as needed. ## Categories Data Extraction Files & Storage ETL CAD/BIM ## Tags `cad-bim`, `revit`, `ifc`, `dwg`, `converter`, `xlsx`, `dae` ## Author [DataDrivenConstruction.io](https://DataDrivenConstruction.io) [info@datadrivenconstruction.io](mailto:info@datadrivenconstruction.io) ## Consulting and Training We work with leading construction, engineering, consulting agencies, and technology firms around the world to help them implement open data principles, automate CAD/BIM processing, and build robust ETL pipelines. If you would like to test this solution with your own data, or are interested in adapting the workflow to real project tasks, feel free to contact us. **Docs & Issues:** [Full Readme on GitHub](https://github.com/datadrivenconstruction/cad2data-Revit-IFC-DWG-DGN-pipeline-with-conversion-validation-qto)

n8n

A minimal workflow to convert a Revit/IFC/DWG project into analysis-ready XLSX (and optional DAE) with a single run. Set two variables, execute, and the converter does the rest.

What it does

  • Inputs: path_to_converter and path_project_file (RV/IFC/DWG).
  • Runs: RvtExporter.exe <converter> <project_file>.
  • Outputs: writes <ProjectName>_rvt.xlsx (and *_rvt.dae if enabled by your converter).

Prerequisites

  • Windows host (local executable + filesystem).
  • DDC Revit toolkit installed: C:\\DDC_Converter_Revit\\datadrivenlibs\\RvtExporter.exe.
  • A local project file you can read.

How to use

  1. Import this JSON into n8n.
  2. Open “Set path to file and converter” and set:
    • path_to_converter: C:\\DDC_Converter_Revit\\datadrivenlibs\\RvtExporter.exe
    • path_project_file: e.g., C:\\Sample_Projects\\your_project.rvt
  3. Run Manual trigger — the command node executes the converter.

Notes & tips

  • Ensure the path points to the executable inside datadrivenlibs.
  • Use ASCII-safe paths; ensure write permissions next to the project file.
  • This is intentionally simple: chain it with your own Parse/Transform/Load steps as needed.

Categories

Data Extraction Files & Storage ETL CAD/BIM

Tags

cad-bim, revit, ifc, dwg, converter, xlsx, dae

Author

DataDrivenConstruction.io
info@datadrivenconstruction.io

Consulting and Training

We work with leading construction, engineering, consulting agencies, and technology firms around the world to help them implement open data principles, automate CAD/BIM processing, and build robust ETL pipelines.

If you would like to test this solution with your own data, or are interested in adapting the workflow to real project tasks, feel free to contact us. Docs & Issues: Full Readme on GitHub

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Last updated October 3, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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