Google Map Nearby search in Python

Google Maps offers a powerful API that allows you to incorporate location-based services into your Python applications. One of the most useful features is the Nearby Search, which enables you to find places and points of interest within a specified radius of a given location. In this tutorial, we will walk through how to perform a Nearby Search using the Google Maps Places API in Python with code examples.
Prerequisites:
Google Cloud Platform Account: You'll need a Google Cloud Platform account to generate an API key.
Python 3: Make sure you have Python 3.x installed on your machine.
Requests Library: Install the requests library if you haven't already. You can install it using pip:
Step 1: Set up Google Cloud Project and Generate API Key
Go to the Google Cloud Console.
Create a new project or use an existing one.
Enable the "Places API" for your project.
Create an API Key for your project.
Step 2: Perform Nearby Search
Now, let's write Python code to perform a Nearby Search using the Google Places API.
Make sure to replace 'YOUR_API_KEY' with your actual API key and provide the correct location coordinates. This code will perform a Nearby Search for restaurants within a 1,000-meter radius of the specified location and print the names and addresses of the found places.
Step 3: Run the Python Script
Save the Python script in a file and run it. You should see the results printed in your console.
That's it! You've successfully performed a Nearby Search using the Google Maps Places API in Python. You can customize the search parameters to find various types of places and integrate this functionality into your location-based applications.
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