Python wrapper for Geocodio geocoding API.

Full documentation on Read the Docs.

If you are upgrading from a version prior to 0.2.0 please see the changelog in HISTORY.rst. The default coordinate ordering has changed to something a bit more sensible for most users.

• Geocode an individual address
• Batch geocode up to 10,000 addresses at a time
• Parse an address into its identifiable components
• Reverse geocode an individual geographic point
• Batch reverse geocode up to 10,000 points at a time

The service is limited to U.S. addresses for the time being.

Read the complete Geocodio documentation for service documentation.

pygeocodio requires requests 1.0.0 or greater and will ensure requests is installed:

pip install pygeocodio

Import the API client and ensure you have a valid API key:

>>> from geocodio import GeocodioClient
>>> client = GeocodioClient(YOUR_API_KEY)

Geocoding an individual address:

>>> geocoded_location = client.geocode("42370 Bob Hope Drive, Rancho Mirage CA")
>>> geocoded_location.coords
(33.738987255507, -116.40833849559)

You can also geocode a list of addresses:

>>> geocoded_addresses = client.geocode([
        '1600 Pennsylvania Ave, Washington, DC',
        '3101 Patterson Ave, Richmond, VA, 23221'
    ])

Return a list of just the coordinates for the resultant geocoded addresses:

>>> geocoded_addresses.coords
[(33.738987255507, -116.40833849559), (33.738987255507, -116.40833849559)]
>>> geocoded_addresses[0].coords
(33.738987255507, -116.40833849559)

Lookup an address by queried address:

>>> geocoded_addresses.get('1600 Pennsylvania Ave, Washington, DC').coords
(33.738987255507, -116.40833849559)

And if you just want to parse an individual address into its components:

>>> client.parse('1600 Pennsylvania Ave, Washington DC')
{
    "address_components": {
        "number": "1600",
        "street": "Pennsylvania",
        "suffix": "Ave",
        "city": "Washington",
        "state": "DC"
    },
    "formatted_address": "1600 Pennsylvania Ave, Washington DC"
}

Reverse geocode a point to find a matching address:

>>> location = client.reverse((33.738987, -116.4083))
>>> location.formatted_address
"42370 Bob Hope Dr, Rancho Mirage CA, 92270"

And multiple points at a time:

>>> locations = client.reverse([
        (33.738987, -116.4083),
        (33.738987, -116.4083),
        (33.738987, -116.4083)
    ])

Return the list of formatted addresses:

>>> locations.formatted_addresses
["100 Main St, Springfield, USA", "100 Main St, Springfield, USA", "100 Main St, Springfield, USA"]

Access a specific address by queried point tuple:

>>> locations.get("33.738987, -116.4083").formatted_address
"1600 Pennsylvania Ave, Washington, DC"

Or by the more natural key of the queried point tuple:

>>> locations.get((33.738987, -116.4083)).formatted_address
"1600 Pennsylvania Ave, Washington, DC"

In the works!

For complete documentation see the docs.

BSD License