Integrations

Supercharge Google Maps Platform with Relevance AI

Google Maps Platform offers powerful APIs for accessing location information and place details. With Relevance AI, you can harness this data to create dynamic, location-aware applications powered by AI Agents.

Give your AI Agents Google Maps Platform Superpowers

Google Maps Platform provides comprehensive location data and search capabilities. Relevance AI enhances this by enabling intelligent AI Agents to utilize this data for smarter decision-making and automation.

Global Location Intelligence

The AI agent gains access to comprehensive geographic data and insights across millions of locations worldwide.

Real-Time Spatial Awareness

Dynamic understanding of traffic patterns, business operations, and geographic conditions as they change in real-time.

Route Optimization Mastery

Advanced capabilities to calculate and suggest optimal paths considering multiple factors like traffic, distance, and timing.

Tools

Equip AI Agents with the Google Maps Platform Tools they need

Relevance AI seamlessly integrates with Google Maps Platform, enabling you to leverage location data within your AI-driven workflows.

Google Maps (Places API) - Search Places
Enables location-based searching across Google Maps to find businesses, points of interest, and other places based on text queries, with support for filtering by business type, operating hours, ratings and various other criteria.
Google Maps (Places API) - Get Place Details
Retrieves comprehensive information about a specific place using its unique identifier, providing detailed data about businesses and points of interest identified through the Places API.
Google Maps (Places API) - Get Place Details
Retrieves comprehensive information about a specific place using its unique identifier, providing detailed data about businesses and points of interest identified through the Places API.
Name
Google Maps (Places) API Call
Description
Make an authorized request to a Google Maps (Places) API
Parameters
["OAuth account authentication", "Multiple base URL options (maps, places, geocoding)", "HTTP method selection", "Custom headers and body support", "Path configuration"]
Use Case
A real estate company uses this integration to automatically fetch and display detailed location information, including nearby amenities and street views, for their property listings. This enriches their website content and helps potential buyers make informed decisions by providing comprehensive neighborhood data directly within their platform.
Quick Start

Connect Google Maps Platform to Relevance AI in minutes

Security & Reliability

This integration enables seamless interaction with Google Maps Platform's Places API through Relevance AI, allowing you to search for places, retrieve detailed location information, and make authorized API calls. Relevance AI handles API operations in the background—so you don’t have to worry about errors, formatting, or limits.

Built-in validation and structured data responses simplify complex location-based operations, ensuring your applications run smoothly while providing detailed location information.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Google Maps Platform + Relevance AI integration without writing code:
  • Start with a clear API configuration: Ensure your OAuth authentication and base API settings are correctly set up for seamless integration.
  • Utilize structured queries: Use clear and specific text queries for place searches to improve the relevance of results.
  • Validate parameters: Always check that required fields, such as place IDs and language codes, are correctly formatted before making API calls.
  • Handle errors gracefully: Implement robust error handling to manage API response statuses and avoid application crashes.
  • Monitor usage: Keep an eye on API usage quotas and implement request throttling to prevent rate limiting issues.