Get Address from Longitude and Latitude using Google Maps API (Google Reverse Geolocation)

Test this app for free
32
import os
import requests
from fastapi import FastAPI, Form, HTTPException
from pydantic import BaseModel


app = FastAPI()

# The builder needs to provide the Google Maps API key via the Env Secrets tab.
# The environment variable name should be GOOGLE_MAPS_API_KEY.
@app.post("/get_location", summary="Get Location Data", description="Fetches location data based on latitude and longitude using Google Maps API.")
async def get_location(latitude: str = Form(...), longitude: str = Form(...)):
    google_maps_api_key = os.environ.get('GOOGLE_MAPS_API_KEY')
    if not google_maps_api_key:
        raise HTTPException(status_code=500, detail="Google Maps API key is not set.")
    try:
        # The Google Maps Geocoding API endpoint
        url = f"https://maps.googleapis.com/maps/api/geocode/json?latlng={latitude},{longitude}&key={google_maps_api_key}"
        response = requests.get(url)
        response.raise_for_status()
        location_data = response.json()
        # TODO: Parse the Google Maps API response and return the necessary location data
        return location_data
Get full code

Frequently Asked Questions

What are some business applications for this Google Reverse Geolocation template?

The Get Address from Longitude and Latitude using Google Maps API template has numerous business applications: - Logistics companies can use it to convert GPS coordinates into readable addresses for route planning and delivery tracking. - Real estate platforms can enhance property listings by automatically generating location descriptions from coordinates. - Travel apps can provide users with detailed location information based on their current GPS position. - Marketing firms can use it for location-based targeting and analytics. - Emergency services can quickly identify addresses from coordinates for faster response times.

How can this template improve customer experience in a mobile app?

The Google Reverse Geolocation template can significantly enhance customer experience in mobile apps by: - Automatically filling in address fields based on the user's current location. - Providing precise location-based recommendations for nearby services or points of interest. - Simplifying the process of sharing a user's location with others by converting coordinates to a human-readable address. - Enhancing location-based features like check-ins or geotagging with more accurate and detailed location information.

What industries could benefit most from implementing this template?

Several industries can greatly benefit from the Get Address from Longitude and Latitude using Google Maps API template: - Transportation and logistics for accurate delivery locations and route optimization. - Hospitality and tourism for providing detailed location information to travelers. - Retail and e-commerce for location-based marketing and improving local search functionality. - Real estate for enhancing property listings with precise location data. - Emergency services and public safety for faster and more accurate response to incidents.

How can I modify the template to return only specific parts of the address?

You can modify the get_location function in the template to parse the Google Maps API response and return only specific parts of the address. Here's an example:

python @app.post("/get_location") async def get_location(latitude: str = Form(...), longitude: str = Form(...)): # ... existing code ... location_data = response.json() if location_data['status'] == 'OK': address_components = location_data['results'][0]['address_components'] formatted_address = location_data['results'][0]['formatted_address'] return { "formatted_address": formatted_address, "street_number": next((component['long_name'] for component in address_components if 'street_number' in component['types']), None), "route": next((component['long_name'] for component in address_components if 'route' in component['types']), None), "locality": next((component['long_name'] for component in address_components if 'locality' in component['types']), None), "country": next((component['long_name'] for component in address_components if 'country' in component['types']), None) } else: raise HTTPException(status_code=400, detail="Unable to fetch location data")

This modification will return a structured object with specific address components.

How can I add error handling for invalid coordinates in the Google Reverse Geolocation template?

You can add input validation and error handling for invalid coordinates by modifying the get_location function. Here's an example:

```python from fastapi import FastAPI, Form, HTTPException from pydantic import BaseModel, validator from typing import Optional

class Coordinates(BaseModel): latitude: float longitude: float

   @validator('latitude')
   def validate_latitude(cls, v):
       if v < -90 or v > 90:
           raise ValueError('Latitude must be between -90 and 90')
       return v

   @validator('longitude')
   def validate_longitude(cls, v):
       if v < -180 or v > 180:
           raise ValueError('Longitude must be between -180 and 180')
       return v

@app.post("/get_location") async def get_location(coords: Coordinates): try: # Use coords.latitude and coords.longitude in your API call url = f"https://maps.googleapis.com/maps/api/geocode/json?latlng={coords.latitude},{coords.longitude}&key={google_maps_api_key}" # ... rest of the function ... except ValueError as e: raise HTTPException(status_code=400, detail=str(e)) ```

This modification adds input validation for the latitude and longitude values, ensuring they are within valid ranges before making the API call.

Created: | Last Updated:

This application is a web server built with FastAPI. It provides an endpoint /get_location that fetches location data based on latitude and longitude using the Google Maps API. When a POST request is made to the /get_location endpoint with latitude and longitude as form data, the application returns the location data in JSON format. The application requires a Google Maps API key to function. This key should be provided via the environment variable GOOGLE_MAPS_API_KEY

Introduction to the Get Address from Longitude and Latitude Template

Welcome to the Lazy template guide for fetching address details from longitude and latitude using the Google Maps API. This template is a FastAPI web server that provides an endpoint to retrieve location data in JSON format. It's perfect for builders looking to integrate reverse geolocation features into their applications without delving into the complexities of API integration.

Getting Started

To begin using this template, simply click on "Start with this Template" on the Lazy platform. This will set up the template in your Lazy Builder interface, ready for customization and deployment.

Initial Setup: Adding Environment Secrets

Before you can use the template, you need to provide a Google Maps API key. This key is essential for the application to interact with the Google Maps API and fetch location data.

  • First, you'll need to obtain a Google Maps API key. Visit the Google Cloud Platform, create a project, and enable the Geocoding API to get your key.
  • Once you have your API key, go to the Environment Secrets tab within the Lazy Builder.
  • Add a new secret with the name GOOGLE_MAPS_API_KEY and paste your Google Maps API key as the value.

Test: Deploying the App

With the API key set up as an environment secret, you're ready to deploy the app. Press the "Test" button on the Lazy platform. This will initiate the deployment process and launch the Lazy CLI.

Using the App

After deployment, Lazy will provide you with a dedicated server link to access the API. Additionally, since this template uses FastAPI, you will also receive a link to the API documentation, which is automatically generated and provides an interactive interface to test the API endpoints.

To fetch location data, make a POST request to the /get_location endpoint with the latitude and longitude as form data. Here's a sample request using curl:

curl -X 'POST' \   'http://your-server-link/get_location' \   -H 'accept: application/json' \   -H 'Content-Type: application/x-www-form-urlencoded' \   -d 'latitude=YOUR_LATITUDE&longitude=YOUR_LONGITUDE' Replace http://your-server-link with the server link provided by Lazy, and YOUR_LATITUDE and YOUR_LONGITUDE with the actual coordinates.

A successful request will return JSON-formatted location data. Here's an example of what the response might look like:

{   "plus_code": {     "compound_code": "P27Q+MF New York, USA",     "global_code": "87G8P27Q+MF"   },   "results": [ ... ],   "status": "OK" }

Integrating the App

If you wish to integrate this API into an external tool or a frontend application, you will need to use the server link provided by Lazy. For instance, you can make AJAX calls from a web application to the API endpoint to retrieve location data dynamically.

Remember to handle the API key securely and not expose it in client-side code. Always make server-to-server requests to the FastAPI endpoint you've deployed on Lazy to keep your API key confidential.

That's it! You now have a fully functional API to get address details from longitude and latitude using the Google Maps API, all set up and ready to be integrated into your application.



Here are 5 key business benefits for this template:

Template Benefits

  1. Location-Based Services: Businesses can easily integrate location data into their applications, enabling services like nearby restaurant recommendations, local weather forecasts, or targeted advertising based on user location.

  2. Logistics Optimization: Shipping and delivery companies can use this API to convert GPS coordinates into readable addresses, streamlining their routing and dispatch processes.

  3. Real Estate Analysis: Property developers and real estate firms can quickly gather location information for potential development sites or property listings, enhancing their market analysis capabilities.

  4. Emergency Response Systems: Emergency services can utilize this template to rapidly pinpoint and describe locations in crisis situations, potentially saving lives through faster response times.

  5. Geotagging for Social Media: Social media platforms and content creation tools can implement this API to automatically tag user-generated content with location data, enhancing user engagement and content discoverability.

Technologies

FastAPI Templates and Webhooks FastAPI Templates and Webhooks

Similar templates

FastAPI endpoint for Text Classification using OpenAI GPT 4

This API will classify incoming text items into categories using the Open AI's GPT 4 model. If the model is unsure about the category of a text item, it will respond with an empty string. The categories are parameters that the API endpoint accepts. The GPT 4 model will classify the items on its own with a prompt like this: "Classify the following item {item} into one of these categories {categories}". There is no maximum number of categories a text item can belong to in the multiple categories classification. The API will use the llm_prompt ability to ask the LLM to classify the item and respond with the category. The API will take the LLM's response as is and will not handle situations where the model identifies multiple categories for a text item in the single category classification. If the model is unsure about the category of a text item in the multiple categories classification, it will respond with an empty string for that item. The API will use Python's concurrent.futures module to parallelize the classification of text items. The API will handle timeouts and exceptions by leaving the items unclassified. The API will parse the LLM's response for the multiple categories classification and match it to the list of categories provided in the API parameters. The API will convert the LLM's response and the categories to lowercase before matching them. The API will split the LLM's response on both ':' and ',' to remove the "Category" word from the response. The temperature of the GPT model is set to a minimal value to make the output more deterministic. The API will return all matching categories for a text item in the multiple categories classification. The API will strip any leading or trailing whitespace from the categories in the LLM's response before matching them to the list of categories provided in the API parameters. The API will accept lists as answers from the LLM. If the LLM responds with a string that's formatted like a list, the API will parse it and match it to the list of categories provided in the API parameters.

Icon 1 Icon 1
218

We found some blogs you might like...