This guide covers how to troubleshoot the NOE Address Fixer workflow, specifically focusing on data transformations, Google Geocoding API failures, and credential management. Use this reference to understand exactly how address data mutates throughout the lifecycle of an order and how to diagnose common pipeline errors.

Data Lifecycle: What Changes Where

To diagnose why a specific column in monday.com contains unexpected data, you need to know which step in the Zapier pipeline modifies it. The workflow follows a strict linear path operating on a single item ID (event.pulseId).

flowchart TD
    A["Raw Address (monday.com)"] --> B["Python Parser (Step 3)"]
    B -->|"Cleans & Splits"| C["Cleaned fullAddress"]
    C --> D["Google Geocoding API (Step 4)"]
    D -->|"Returns Lat/Long"| E["monday.com Update (Step 5)"]
    E -->|"Overwrites"| F["Location Column"]
    E -->|"Overwrites"| G["Text Columns (Street, Unit, etc.)"]
    E -->|"Clears"| H["Status/Color Columns"]

Troubleshooting Common Issues

If the Zap fails or produces incorrect data, identify the symptom below to find the root cause.

1. Missing Coordinates or Geocoding Failures

Symptom: The address is cleaned properly by the Python step, but the monday.com Location column remains empty or the Zap fails at Step 4.

Cause: The Google Geocoding API request is strictly scoped. The Zap appends a component filter to the request: components=country:US|administrative_area:NC.

• According to Google for Developers, country:US enforces a strict match using the ISO 3166-1 country code, and administrative_area:NC restricts results to the state of North Carolina.

• If the address is located outside of North Carolina, or if the Python step outputs a heavily mangled string that Google cannot resolve within NC, the API will return a ZERO_RESULTS status.

Solution:

• Check the output of Step 3 (Python) to ensure the fullAddress is valid.

• Verify the order is actually located in North Carolina.

• If the business expands outside NC, the administrative_area:NC restriction must be removed or made dynamic in Step 4.

2. API Credential Errors (401/403 Unauthorized)

Symptom: Step 4 (Get Lat/Long) fails entirely with an authentication or billing error.

Cause: Because the key is hardcoded, any changes to the Google Cloud account will immediately break the Zap. Common triggers include:

• The API key was rotated or deleted in Google Cloud Console.

• The Google Cloud billing account ran out of credits or expired.

• IP or HTTP referrer restrictions were added to the API key, blocking Zapier's servers.

Solution: Generate a new API key in Google Cloud and update Step 4. For long-term stability, transition this step to use Zapier's native Google Maps integration, which handles credential management securely.

3. Valid Unit Numbers Are Missing

Symptom: The customer provided a unit number, but the unit column in monday.com is blank after the Zap runs.

Cause: The Python script in Step 3 includes aggressive filtering for placeholder unit values (e.g., "-", "none", "n/a", "null"). If a customer enters a unit number that the script's regex misinterprets as a placeholder or trailing noise, it will be discarded.

Solution: Inspect the Step 3 Python code execution details in Zapier's history. Look at the unitOnly output. If valid units are being dropped, the regex handling unit extraction (looking for #, Unit, Apt, etc.) needs to be adjusted to accommodate the missing format.

4. Manual Data Disappears After Zap Runs

Symptom: A user manually updates a status column or secondary text field on the Orders board, but the data vanishes shortly after.

Cause: Step 5 is configured to reset the color/status column to a blank (-) value and explicitly clear several other text columns. If the webhook triggers after a user makes manual changes, Step 5 will blindly overwrite those manual changes with empty values.