What are the field lengths and patterns in GBP API outputs, and how can they be clarified?

What are the detailed specifications for field lengths and patterns in Google Business Profile (GBP) API outputs, and how can one effectively clarify and interpret these fields to ensure accurate data processing and integration into applications? Additionally, what are the best practices for handling and validating these fields to avoid errors and ensure compliance with API requirements?

To effectively clarify and interpret the field lengths and patterns in Google Business Profile (GBP) API outputs, and ensure accurate data processing and integration into applications, here are some detailed specifications and best practices:

Field Lengths and Patterns in GBP API Outputs Field Lengths:

name: Up to 300 characters.

locationName: Up to 300 characters.

primaryPhone: Up to 20 characters.

websiteUrl: Up to 2048 characters.

address: Various subfields with specific lengths (e.g., streetAddress up to 200 characters).

Field Patterns:

name: Alphanumeric characters, spaces, and punctuation.

locationName: Alphanumeric characters, spaces, and punctuation.

primaryPhone: Numeric characters, spaces, and parentheses (e.g., (123) 456-7890).

websiteUrl: Valid URL format.

address: Alphanumeric characters, spaces, and punctuation.

Clarifying and Interpreting Fields Refer to Documentation: Always refer to the official GBP API documentation for detailed specifications and examples.

Use Discovery Documents: Utilize discovery documents provided by Google to understand the structure and expected formats of API responses.

Test with Sample Data: Test your integration with sample data to ensure that your application correctly handles the field lengths and patterns.

Best Practices for Handling and Validating Fields Consistent Naming Conventions: Use clear and consistent naming conventions for your variables and fields to avoid confusion.

Validation: Implement validation checks in your application to ensure that the data received from the API matches the expected patterns and lengths.

Error Handling: Gracefully handle errors and provide meaningful error messages to help diagnose issues.

Security: Follow best practices for API security, such as using HTTPS and validating input data to prevent injection attacks.

Caching: Cache frequently accessed data to improve performance and reduce API calls.