Geocoding, the process of converting addresses into geographic coordinates, is a powerful tool for enhancing location-based functionalities in applications. Many applications leverage services like Google Geocoding API to translate addresses into precise coordinates. However, it's crucial to manage the usage and associated costs, especially when dealing with large datasets. In this article, we'll explore some best practices to help you switch off geocoding, stay within usage limits, and avoid unexpected expenses.

Understanding Geocoding Limits

Before diving into best practices, it's essential to be aware of the limitations imposed by the Google Geocoding API. 

Best Practices for Geocoding Usage

1. Switch Off Triggers

Temporarily disabling triggers related to geocoding can prevent unnecessary API calls during data updates. This is particularly useful when dealing with large datasets to avoid hitting the API limits. Feel free to reach out to our Concierge team to assist you with this step.

2. Modify Requests from Google Cabinet

Adjust the number of requests made to the Google Geocoding API from your application. This can be controlled by configuring settings in your application's Google Cabinet. Keep a close eye on the usage to ensure it aligns with your budget and expectations. By modifing the number of requests and set limitation, you can mitigate the risk of spikes in API call requests. 

3. Switch Off the Geocoding Flow for Custom Objects

If you currently use the Geocoding flow, consider disabling it. 

4. Switch Off Geolocation settings in Ascendix Search

If you have set the Geocoding setting, consider removing the Google API key.

While geocoding adds valuable spatial insights to your application, it's essential to manage its usage intelligently, especially when dealing with large datasets. By following the recommended best practices, you can maintain control over your geocoding expenses and prevent any surprises on your billing statement.