A specialized tool for parsing, validating, and flattening complex JSON data from construction industry sources like BIM exports and IoT sensors.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install json-parser
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install json-parser using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is JSON Parser for Construction Data?
The JSON Parser for Openclaw Skills is a robust utility designed to handle the specific complexities of semi-structured data in the construction sector. Whether dealing with nested BIM metadata or high-frequency IoT sensor streams, this skill provides a unified interface to transform raw JSON into clean, analysis-ready formats.
By leveraging the power of Python and Pandas, it enables developers to bridge the gap between disparate construction APIs and data-driven decision-making tools. This skill is particularly useful for teams using Openclaw Skills to automate the ingestion of architectural and engineering data into relational databases or data science pipelines.
JSON Parser for Construction Data Use Cases
- Flattening deeply nested BIM exports from software like Revit or IFC for downstream reporting.
- Normalizing IoT sensor data batches into consistent time-series structures for monitoring.
- Validating API responses against required construction data schemas to ensure data integrity.
- Extracting specific sub-elements from complex project hierarchies using dot-notation paths for targeted analysis.
How JSON Parser for Construction Data Works
- Initialize the specialized parser (BIM, IoT, or General) within the Openclaw Skills environment using the provided Python classes.
- Load JSON data from a local file path or a raw API string response via the parse_file or parse_string methods.
- Apply flattening logic to convert hierarchical structures into a single-level dictionary format, handling nested lists and objects automatically.
- Convert the processed data into a Pandas DataFrame for immediate statistical analysis or export to CSV/Excel.
- Optionally validate the data against predefined schemas to ensure all required construction fields are present and calculate completeness metrics.
JSON Parser for Construction Data Setup
To use this skill within Openclaw Skills, ensure you have Python 3 and the Pandas library installed in your environment.
pip install pandas
Once dependencies are installed, you can import the parser directly into your workflow:
from construction_parser import ConstructionJSONParser
parser = ConstructionJSONParser()
JSON Parser for Construction Data Data Schema & Taxonomy
The skill utilizes a structured result object and supports various input/output formats to maintain compatibility across Openclaw Skills workflows:
| Component | Description |
|---|---|
| JSONParseResult | Data class containing success status, data payload, error logs, and record count. |
| Flattened Dict | A single-level dictionary where nested keys are joined by underscores (e.g., project_building_name). |
| DataFrame | A standard Pandas DataFrame compatible with most data science and visualization tools. |
| BIM Elements | Specialized extraction mapping for 'elements', 'objects', or 'entities' keys in BIM files. |
JSON Parser for Construction Data Advanced Features
- Dot-notation path extraction for deep-linking into specific nested JSON objects without custom looping logic.
- Specialized BIM element detection tailored for industry-standard schemas used in Revit and IFC exports.
- Automated schema validation featuring missing field reporting and completeness percentage calculation.
- Batch processing capabilities designed specifically for high-volume, real-time IoT sensor readings.
- Multi-platform support primarily optimized for Windows-based construction environments within Openclaw Skills.
SKILL.md
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