Skip to main content

Dummy Address Data (DAD) - Real addresses from all around the world.

Project description

Dummy Address Data (DAD) Python Library

Dummy Address Data (DAD) - Retrieve real addresses from all around the world. (Python Client Library)

Build Status Coverage Status PyPi Licence

Showcase

The DAD Python library is the perfect companion to quickly bootstrap address data in your application. DAD provides real addresses from all over the world with a consistent data structure so you can spend less time looking up addresses and address rules and more time coding.

Install

# Install tool
pip3 install dad_tool

# Install locally
just install

Address Data

Address objects will look like the sample below. The data type of each field on an address object is a string. A list of addresses is an array of json objects.

Attempts have been made to verify addresses and ensure that street1, city, state, and zip are present on all records. Some lists may be shorter than others to avoid complexity or because of a lack of accurate data.

The following files can be found in the data directory.

Australia

Locations Tag
Victoria Area AU_VT

Canada

Locations Tag
BC Area CA_BC

China

Locations Tag
Beijing Area CN_BJ
Hong Kong - Wan Chai Area CN_HK

Europe

Locations Tag
Germany - Wesel Area EU_DE
Spain - Countrywide EU_ES
France - Paris Area EU_FR
United Kingdom - England Area EU_UK

Mexico

Locations Tag
Mexico - Mexico City Area MX_MX

United States

Locations Tag
Arizona - Gilbert Area US_AZ
California - Anaheim Area US_CA
Idaho - Boise Area US_ID
Kansas - Barton County US_KS
Nevada - Lincoln Area US_NV
New York - Rochester Area US_NY
Oregon - Portland Area US_OR
Texas - Austin Area US_TX
Utah - Provo Area US_UT
Washington - Spokane Area US_WA

Usage

import dad_tool

# Grab a random UT address
address = dad_tool.random_address('US_UT')
print(address)

# Alternatively, grab the entire UT list
addresses = dad_tool.list_addresses('US_UT')
print(addresses)

# Get the list of all ISO country codes
iso_data = dad_tool.list_iso_country_codes()
print(iso_data)

Sample Address Object

A sample address object will look like the following:

{
    "street1": "231 N 1200 W",
    "street2": "UNIT 104",
    "city": "OREM",
    "state": "UT",
    "zip": "84057",
    "country": "US"
}

Sample ISO Country Object

{
    "country": "United States of America",
    "alpha_2_code": "US",
    "alpha_3_code": "USA"
}

Development

# To setup the `DAD` git submodule
just setup-dad

# Get a comprehensive list of development tools
just --list

Attribution

  • Addresses provided by DAD.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dad_tool-3.0.0.tar.gz (37.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dad_tool-3.0.0-py3-none-any.whl (51.1 kB view details)

Uploaded Python 3

File details

Details for the file dad_tool-3.0.0.tar.gz.

File metadata

  • Download URL: dad_tool-3.0.0.tar.gz
  • Upload date:
  • Size: 37.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for dad_tool-3.0.0.tar.gz
Algorithm Hash digest
SHA256 2ccc54ef88ccf2f0f78eba3e47e696f8fb995ae4e3e512db3c8f8988b96eb15c
MD5 e22a570e4afafc796ec0848bf885b08a
BLAKE2b-256 c69cb33c70e174ab23b4555be7cae057401b19b4ba303d15f6d73b3d14301461

See more details on using hashes here.

File details

Details for the file dad_tool-3.0.0-py3-none-any.whl.

File metadata

  • Download URL: dad_tool-3.0.0-py3-none-any.whl
  • Upload date:
  • Size: 51.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for dad_tool-3.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d1b337a7962ec004f94d6ec6c52a7962c0c7cf5dba569d273eaeddf7595e2042
MD5 2e5942919793af32a579099805c7e345
BLAKE2b-256 260f16daa3d377550b92ec545dce04715242e0d40b89ec7165cd87775d91cc4a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page