Start by logging into your SAP Fieldglass account using your valid credentials. Ensure you have the necessary permissions to access and export the data you need. Navigate to the section where your data resides, such as reports or specific modules.

Utilize the built-in export functionality within SAP Fieldglass to extract the data. You can typically export data in formats such as CSV or Excel. Choose the data set you wish to export, and make sure to select all the relevant fields and filters before exporting. Save the file to your local machine.

Once you�ve saved the file, open it in a spreadsheet application such as Microsoft Excel or Google Sheets. Review the data to ensure it contains all the necessary information and is structured correctly.

Clean and structure the data in the spreadsheet application. Ensure that each row represents a unique record and columns represent data fields. Remove any unnecessary rows, columns, or formatting that could interfere with JSON conversion.

Use a script or tool to convert the cleaned data into JSON format. You can write a simple Python script using libraries such as `pandas` to read the data and `json` to convert it. Here�s a basic example:
```python
import pandas as pd
import json

# Load data from CSV
df = pd.read_csv('exported_data.csv')

# Convert DataFrame to JSON
json_data = df.to_json(orient='records')

# Save JSON to file
with open('data.json', 'w') as json_file:
json_file.write(json_data)
```
Ensure your script correctly maps all fields from the CSV to key-value pairs in JSON.

After conversion, open the JSON file in a text editor or JSON viewer to verify the structure and integrity of the data. Check for any missing values or discrepancies that may have occurred during the conversion process.

Once verified, store your JSON file securely on your local machine. Consider organizing it within a directory structure if you'll be handling multiple JSON files. Implement any necessary security measures, such as encryption or access control, to protect sensitive data.

By following these steps, you can effectively transfer data from SAP Fieldglass to a local JSON file without relying on third-party connectors.