OpenClaw Bot Automates KMZ Data Extraction and Spreadsheet Merging

A developer shared a practical workflow using OpenClaw bot to automate data extraction from KMZ files and spreadsheet management.

Workflow Details

The user works with mapping data, specifically KMZ Google Earth files containing ID numbers, street names, and other data that needs to be transferred to spreadsheets for reporting. They directed OpenClaw bot to:

• Parse KMZ data from a specified drive location
• Extract exactly eight data points from the files
• Import the extracted data into a spreadsheet
• Calculate decimal mile markers between whole mile markers (e.g., 1.5 between markers 1 and 2) with high accuracy
• Merge new data with an existing spreadsheet, creating new lines without overwriting existing data
• Place new data in the correct columns automatically

Performance Metrics

The complete process required:

• Approximately 5 minutes of processing time
• About 15% of the "Current Session" usage on a $100 maximum plan
• Reported time savings: at least 10 hours compared to manual processing

The user noted they've been installing skills and extracting specific features from them, suggesting OpenClaw's functionality can be customized through skill installation and feature extraction.