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Python Geocoder

Simple and consistent geocoding library written in Python.

RDT PyPi Snap Travis Coveralls


Table of content

Overview

Many online providers such as Google & Bing have geocoding services, these providers do not include Python libraries and have different JSON responses between each other.

It can be very difficult sometimes to parse a particular geocoding provider since each one of them have their own JSON schema.

Here is a typical example of retrieving a Lat & Lng from Google using Python, things shouldn't be this hard.

>>> import requests
>>> url = 'https://maps.googleapis.com/maps/api/geocode/json'
>>> params = {'sensor': 'false', 'address': 'Mountain View, CA'}
>>> r = requests.get(url, params=params)
>>> results = r.json()['results']
>>> location = results[0]['geometry']['location']
>>> location['lat'], location['lng']
(37.3860517, -122.0838511)

Now lets use Geocoder to do the same task

>>> import geocoder
>>> g = geocoder.google('Mountain View, CA')
>>> g.latlng
(37.3860517, -122.0838511)

A glimpse at the API

Many properties are available once the geocoder object is created.

Forward

>>> import geocoder
>>> g = geocoder.google('Mountain View, CA')
>>> g.geojson
>>> g.json
>>> g.wkt
>>> g.osm

Multiple results

>>> import geocoder
>>> g = geocoder.geonames('Mountain View, CA', maxRows=5)
>>> print(len(g))
5
>>> for result in g:
...   print(result.address, result.latlng)
...
Mountain View ['37.38605', '-122.08385']
Mountain View Elementary School ['34.0271', '-117.59116']
Best Western Plus Mountainview Inn and Suites ['51.79516', '-114.62793']
Best Western Mountainview Inn ['49.3338', '-123.1446']
Mountain View Post Office ['37.393', '-122.07774']

The providers currently supporting multiple results are listed in the table below.

Reverse

>>> g = geocoder.google([45.15, -75.14], method='reverse')
>>> g.city
>>> g.state
>>> g.state_long
>>> g.country
>>> g.country_long

House Addresses

>>> g = geocoder.google("453 Booth Street, Ottawa ON")
>>> g.housenumber
>>> g.postal
>>> g.street
>>> g.street_long

IP Addresses

>>> g = geocoder.ip('199.7.157.0')
>>> g = geocoder.ip('me')
>>> g.latlng
>>> g.city

Bounding Box

Accessing the JSON & GeoJSON attributes will be different

>>> g = geocoder.google("Ottawa")
>>> g.bbox
{"northeast": [45.53453, -75.2465979], "southwest": [44.962733, -76.3539158]}

>>> g.geojson['bbox']
[-76.3539158, 44.962733, -75.2465979, 45.53453]

>>> g.southwest
[44.962733, -76.3539158]

Command Line Interface

$ geocode "Ottawa, ON"  >> ottawa.geojson
$ geocode "Ottawa, ON" \
    --provide google \
    --out geojson \
    --method geocode

Providers

Provider Optimal Usage Policy Mutiple results Reverse Proximity
ArcGIS World yes yes
Baidu China API key yes
Bing World API key yes yes
CanadaPost Canada API key yes
FreeGeoIP World
Gaode China API key yes
Geocoder.ca (Geolytica) CA & US Rate Limit
GeocodeFarm World Policy yes yes
GeoNames World Username yes yes
GeoOttawa Ottawa yes
Google World Rate Limit, Policy yes yes yes
HERE World API key yes yes
IPInfo World Rate Limit, Plans
Komoot (OSM powered) World yes yes
LocationIQ World API Key yes yes
Mapbox World API key yes yes yes
MapQuest World API key yes yes
Mapzen World API key yes yes
MaxMind World
OpenCage World API key yes yes
OpenStreetMap World Policy yes yes
Tamu US API key
TGOS Taiwan
TomTom World API key yes
USCensus US yes
What3Words World API key yes
Yahoo World
Yandex Russia yes yes

Installation

PyPi Install

To install Geocoder, simply:

$ pip install geocoder
...

GitHub Install

Installing the latest version from Github:

$ git clone https://github.com/DenisCarriere/geocoder
...
$ cd geocoder
$ python setup.py install
...

Snap Install

To install the stable geocoder snap in any of the supported Linux distros:

$ sudo snap install geocoder
...

If you want to help testing the latest changes from the master branch, you can install it from the edge channel:

$ sudo snap install geocoder --edge
...

The installed snap will be updated automatically every time a new version is pushed to the store.

Feedback

Please feel free to give any feedback on this module.

Speak up on Twitter @DenisCarriere and tell me how you use this Python Geocoder. New updates will be pushed to Twitter Hashtags #python.

Contribution

If you find any bugs or any enhancements to recommend please send some of your comments/suggestions to the Github Issues Page.

Some way to contribute, from the most generic to the most detailed:

Documenting

If you are not comfortable with development, you can still contibute with the documentation.

  • review the documentation of a specific provider. Most of the time they are lacking details...
  • review the parameters for a specific method, compared to what is supported by the provider
  • review documentation for command line

If you miss any feature, just create an issue accordingly. Be sure to describe clearly your use case, and to provide links to the correct sources.

Coding

  • add support for a new provider. Documentation TBD, starting point possible with wip_guide.
  • extend methods for an existing support, i.e support an additionnal API). Documentation TBD
  • extend support of an existing API, i.e, support more (json) fields from the response, or more parameters. Documentation TBD

ChangeLog

See CHANGELOG.md