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Calculate distance and duration between two places using google distance matrix API in Python

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  • Difficulty Level : Basic
  • Last Updated : 13 Oct, 2020

Google Map Distance Matrix API is a service that provides travel distance and time is taken to reach a destination. This API returns the recommended route(not detailed) between origin and destination, which consists of duration and distance values for each pair.

To use this API, one must need the API key, which can be get form here.

Modules needed :

import requests
import json

 
Below is the implementation :




# importing required libraries
import requests, json
  
# enter your api key here
api_key ='Your_api_key'
  
# Take source as input
source = input()
  
# Take destination as input
dest = input()
  
# url variable store url 
  
# Get method of requests module
# return response object
r = requests.get(url + 'origins = ' + source +
                   '&destinations = ' + dest +
                   '&key = ' + api_key)
                     
# json method of response object
# return json format result
x = r.json()
  
# by default driving mode considered
  
# print the value of x
print(x)

Output :

dehradun
haridwar

{'destination_addresses': ['Haridwar, Uttarakhand, India'], 
'origin_addresses': ['Dehradun, Uttarakhand, India'], 'rows': 
[{'elements': [{'distance': {'text': '56.3 km', 'value': 56288}, 
'duration': {'text': '1 hour 40 mins', 'value': 5993},
'status': 'OK'}]}], 'status': 'OK'}

 

Using googlemaps module :

Distance between two places can also be calculated using googlemaps module.

Command to install googlemaps module :

pip install googlemaps




# importing googlemaps module
import googlemaps
  
# Requires API key
gmaps = googlemaps.Client(key='Your_API_key')
  
# Requires cities name
my_dist = gmaps.distance_matrix('Delhi','Mumbai')['rows'][0]['elements'][0]
  
# Printing the result
print(my_dist)

Output :

{'distance': {'text': '1,415 km', 'value': 1415380}, 'duration': {'text': '23 hours 42 mins', 'value': 85306}, 'status': 'OK'}

Thanks to aishwarya.27 for contributing this method.


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