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A parsing library that will let you convert the response you get from Google Geocoding API v3 into an object that may be more suitable for your application, whether is it frontend or backend.

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geomaton

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geomaton is a parsing library that will let you convert the response you get from Google Geocoding API v3 into an object that may be more suitable for your application, whether is it frontend or backend.

It works by mapping the type of fields available in Google's API (check out the documentation) to the fields you have in your application.
By default the output fields are:

  • address
  • city
  • zip
  • state
  • country

You can customize mappings using geomaton.config()

Getting started

npm install geomaton

Usage

Just require geomaton and pass in your Google Geocoding API response.

var geomaton = require('geomaton');
var parsedResult = geomaton.parse(response)

Out of the box the address will be structured as:

{
  state: 'California',
  country: 'United States',
  city: 'San Francisco',
  zip: '94105',
  address: '2 Market Street'
}

Methods

Other than the parse method, which only takes an API response as parameter, geomaton expose a config() method that can be used to configure the parsing

parse(apiResponse)

var parsedResponse = geomaton.parse(response)

Create a new DOM instance (with or withouth the optional DOM string).

config()

You can configure the parsing by passing a custom lookupTable into geomaton

geomaton.config(lookupTable)

Below is the default lookupTable that geomaton will use if you don't provide your own.
This table contains all the types that Google Geocode API V3 can return.

{
  address: [
    'street_address',
    'street_number',
    'route',
    'premise',
    'subpremise',
    'neighborhood',
    'point_of_interest',
    'park',
    'airport'
  ],
  country: [
    'country'
  ],
  city: [
    'locality',
    'sublocality',
    'sublocality_level_1',
    'sublocality_level_2',
    'sublocality_level_3',
    'sublocality_level_4',
    'sublocality_level_5'
  ],
  state: [
    'administrative_area_level_1',
    'administrative_area_level_2',
    'administrative_area_level_3',
    'administrative_area_level_4',
    'administrative_area_level_5'
  ],
  zip: [
    'postal_code'
  ]
}

While providing your lookupTable, The only mandatory property is address, while all the others can be whatever you want (or even non existent)

Usage examples

TODO: add example using Google own example

Test

npm install
mocha

License

The MIT License (MIT)

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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A parsing library that will let you convert the response you get from Google Geocoding API v3 into an object that may be more suitable for your application, whether is it frontend or backend.

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