Python geocode Module for Reverse Zipcode lookup

In this tutorial, we’ll use the geocode module to perform a reverse lookup on several zipcodes.

geocode Module:

The Python geocode module is designed to handle geographical data and help us in pairing and matching different types of data together.

Using the pgeocode module, we could retrieve and represent the region or area-related information based on zip code information.

As a result, we can use this module for our needs.

Some of the pgeocode module’s functions are listed below:

• Data about the country/region derived from the postal code
• The distinction between postal codes
• Data from many postal codes are used to generate data for multiple regions.

Geo Code Enterprise Application APIs

I would recommend ZipCodeBase if you are seeking for a ZIP Code address lookup API for business apps. They give zip code data for over 200 nations, which is useful if your service serves consumers from all over the world. They feature a variety of APIs, including the postal code radius search API, which is highly handy for finding postal codes within a radius. Their documentation is excellent, and the greatest thing is that they offer a free plan that allows us to get started quickly and test the service.

Obtaining regional data from postal codes

Now we see how to get regional data from various postal codes that are offered as inputs. Using the geocode module, we can simply obtain the country code, state, name, and so on.

Syntax:

pgeocode.Nominatim(country name)
query_postal_code(postalcode)

The Nominatim() method allows us to query country names while the query_post_code() method works on the zip codes.

To begin, Install the pgeocode module as shown below:

pip install pgeocode

Output:

Collecting pgeocode Downloading pgeocode-0.3.0-py3-none-any.whl (8.5 kB)
 Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-
packages (from pgeocode) (2.23.0) Requirement already satisfied: numpy in 
/usr/local/lib/python3.7/dist-packages (from pgeocode) (1.19.5) Requirement 
already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (from 
pgeocode) (1.1.5) Requirement already satisfied: pytz>=2017.2 in /usr/local/
lib/python3.7/dist-packages (from pandas->pgeocode) (2018.9) Requirement 
already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/
dist-packages (from pandas->pgeocode) (2.8.2) Requirement already satisfied: 
six>=1.5 in /usr/local/lib/python3.7/dist-packages (from python-dateutil>=2.7
.3->pandas->pgeocode) (1.15.0) Requirement already satisfied: certifi>=2017.4
.17 in /usr/local/lib/python3.7/dist-packages (from requests->pgeocode)
 (2021.10.8) Requirement already satisfied: chardet<4,>=3.0.2 in /usr/
local/lib/python3.7/dist-packages (from requests->pgeocode) (3.0.4) 
Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7
/dist-packages (from requests->pgeocode) (2.10) Requirement already satisfied:
urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-
packages (from requests->pgeocode) (1.24.3) Installing collected packages:
pgeocode Successfully installed pgeocode-0.3.0

For example:

Approach:

Below is the implementation:

# Import the pgeocode module using the import keyword
import pgeocode
# Pass some random country name to the Nominatim() function to query country given
# Store it in a variable
# Here 'fr' means France - to check for other country code see the Readme list of 
# pgeocode module
cntry_data = pgeocode.Nominatim('fr')
# Pass some random postal code to the query_postal_code() function to
# get the information (like country code, state, name) about the region given.
# Store it in another variable
rslt_info = cntry_data.query_postal_code("75013")
# Print the above result.
print(rslt_info)

Output:

postal_code              75013 
country_code             FR 
place_name               Paris 13, Paris 
state_name               Île-de-France 
state_code               11 
county_name              Paris 
county_code              75 
community_name           Paris 
community_code           751 
latitude                 48.8322 
longitude                2.35245 
accuracy                 5 
Name: 0, dtype: object

NOTE:

To check for other country codes see the Readme list of pgeocode module.
For Example US - "95014", BR for Brazil etc.

To Get Geodistance between two zip codes

Another useful feature of the geocode module is the ability to calculate the geodistance between two zip codes. We can achieve the same result by using the Geodistance() function.

Approach:

• Import the pgeocode module using the import keyword.
• Pass some random country name as an argument to the GeoDistance() function and store it in a variable.
• Pass two random postal codes as the arguments to the query_postal_code() function to get the geograpical distance between the given two zipcodes.
• Store it in another variable.
• Print the above result.
• The Exit of the Program.

Below is the implementation:

# Import the pgeocode module using the import keyword
import pgeocode
# Pass some random country name as an argument to the GeoDistance() function and
# Store it in a variable
rslt_data = pgeocode.GeoDistance('fr')
# Pass two random postal codes as the arguments to the query_postal_code() function
# to get the geograpical distance between the given two zipcodes.
# Store it in another variable
fnl_info = rslt_data.query_postal_code("75013", "69006")
# Print the above result.
print("The geograpical distance between given two postal codes = ")
print(fnl_info)

Output:

The geograpical distance between given two postal codes = 
389.2183901641009