Fetch All Information of any Country using Python

Fetch data of any Country with Python using Countryinfo

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Hello, world!

In this Blog article, we will learn how to Fetch data of any Country. We will see the implementation in Python.

Check out the Repository for Ultimate Resource in python. Drop a star if you find it useful! Got anything to add? Open a PR on the same!

You can refer to my YouTube video Tutorial to see a working tutorial for better Understanding and a step by step Guide of the same.

What will be covered in this Blog

1. Countryinfo Introduction
2. Fetching data of any Country

Let's get started!

What is Countryinfo?

Countryinfo is a python module for returning data about countries, ISO info and states/provinces within them. To access one of the country properties available, you’ll need to use one of the API methods.

If you wish to know more about it, you can refer to Countryinfo Documentation. Use this link to navigate to the documentation.

Now that you are familiar with with our agenda and have acquired basic knowledge of Countryinfo module, we can move forward to the coding section.

Time to Code!

You can find all the code at my GitHub Repository. Drop a star if you find it useful.

carbon (8).png

In order to access the Python library, you need to install it first.

pip install countryinfo

Once installed, let's import it into your Python environment, use the following command to import countryinfo it in your python script.

from countryinfo import CountryInfo

Now let's store the Country name for which we want to fetch the information. I wish to fetch details for my country, India, so I will store the same in name.

name = 'India'

Now, let's create an instance. We will make use of CountryInfo and pass name as an argument here.

country = CountryInfo(name)

Once done, let's see some of the methods one by one.

1. alt_spellings()

Returns alternate spellings for the name of a specified country

data1 = country.alt_spellings()
print(data1)

#Output:
['IN', 'Bhārat', 'Republic of India', 'Bharat Ganrajya']

2. capital()

Returns capital city for a specified country

data2 = country.capital()
print(data2)

#Output:
New Delhi

3. currencies()

Returns official currencies for a specified country

data3 = country.currencies()
print(data3)

#Output:
['INR']

4. languages()

Returns official languages for a specified country

data4 = country.languages()
print(data4)

#Output:
['hi', 'en']

5. timezones()

Returns all timezones for a specified country

data5 = country.timezones()
print(data5)

#Output:
['UTC+05:30']

6.area()

Returns area (km²) for a specified country

data6 = country.area()
print(data6)

#Output:
3287590

7.borders()

Returns array of strings, ISO3 codes of countries that border the given country.

data7 = country.borders()
print(data7)

#Output:
['AFG', 'BGD', 'BTN', 'MMR', 'CHN', 'NPL', 'PAK', 'LKA']

8.calling_codes()

Returns international calling codes for a specified country

data8 = country.calling_codes()
print(data8)

#Output:
['91']

9.wiki()

Returns link to Wikipedia page for a specified country

data9 = country.wiki()
print(data9)

#Output:
http://en.wikipedia.org/wiki/india

If you wish to extract a summary of the methods altogether, in that case, we can make use of info method. It fetches all the data regarding the given country. Let's give it a try.

10. info()

Returns all available information for a specified country.

data10 = country.info()

for x,y in data10.items():
    print(f{x} --> {y}')

#Output:
name --> India
altSpellings --> ['IN', 'Bhārat', 'Republic of India', 'Bharat Ganrajya']
area --> 3287590
borders --> ['AFG', 'BGD', 'BTN', 'MMR', 'CHN', 'NPL', 'PAK', 'LKA']
callingCodes --> ['91']
capital --> New Delhi
capital_latlng --> [28.614179, 77.202266]
currencies --> ['INR']
demonym --> Indian
flag -->
geoJSON --> {'type': 'FeatureCollection', 'features': [{'type': 'Feature', 'id': 'IND', 'properties': {'name': 
'India'}, 'geometry': {'type': 'Polygon', 'coordinates': [[[77.837451, 35.49401], [78.912269, 34.321936], [78.811086, 33.506198], [79.208892, 32.994395], [79.176129, 32.48378], [78.458446, 32.618164], [78.738894, 31.515906], [79.721367, 30.882715], [81.111256, 30.183481], [80.476721, 29.729865], [80.088425, 28.79447], [81.057203, 28.416095], [81.999987, 27.925479], [83.304249, 27.364506], [84.675018, 27.234901], [85.251779, 26.726198], [86.024393, 26.630985], [87.227472, 26.397898], [88.060238, 26.414615], [88.174804, 26.810405], [88.043133, 27.445819], [88.120441, 27.876542], [88.730326, 28.086865], [88.814248, 27.299316], [88.835643, 27.098966], [89.744528, 26.719403], [90.373275, 26.875724], [91.217513, 26.808648], [92.033484, 26.83831], [92.103712, 27.452614], [91.696657, 27.771742], [92.503119, 27.896876], [93.413348, 28.640629], [94.56599, 29.277438], [95.404802, 29.031717], [96.117679, 29.452802], [96.586591, 28.83098], [96.248833, 28.411031], [97.327114, 28.261583], [97.402561, 27.882536], [97.051989, 27.699059], [97.133999, 27.083774], [96.419366, 27.264589], [95.124768, 26.573572], [95.155153, 26.001307], [94.603249, 25.162495], [94.552658, 24.675238], [94.106742, 23.850741], [93.325188, 24.078556], [93.286327, 23.043658], [93.060294, 22.703111], [93.166128, 22.27846], [92.672721, 22.041239], [92.146035, 23.627499], [91.869928, 23.624346], [91.706475, 22.985264], [91.158963, 23.503527], [91.46773, 24.072639], 
[91.915093, 24.130414], [92.376202, 24.976693], [91.799596, 25.147432], [90.872211, 25.132601], [89.920693, 25.26975], [89.832481, 25.965082], [89.355094, 26.014407], [88.563049, 26.446526], [88.209789, 25.768066], [88.931554, 25.238692], [88.306373, 24.866079], [88.084422, 24.501657], [88.69994, 24.233715], [88.52977, 23.631142], 
[88.876312, 22.879146], [89.031961, 22.055708], [88.888766, 21.690588], [88.208497, 21.703172], [86.975704, 21.495562], [87.033169, 20.743308], [86.499351, 20.151638], [85.060266, 19.478579], [83.941006, 18.30201], [83.189217, 17.671221], [82.192792, 17.016636], [82.191242, 16.556664], [81.692719, 16.310219], [80.791999, 15.951972], [80.324896, 15.899185], [80.025069, 15.136415], [80.233274, 13.835771], [80.286294, 13.006261], [79.862547, 12.056215], [79.857999, 10.357275], [79.340512, 10.308854], [78.885345, 9.546136], [79.18972, 9.216544], [78.277941, 8.933047], [77.941165, 8.252959], [77.539898, 7.965535], [76.592979, 8.899276], [76.130061, 10.29963], [75.746467, 11.308251], [75.396101, 11.781245], [74.864816, 12.741936], [74.616717, 13.992583], [74.443859, 14.617222], [73.534199, 15.990652], [73.119909, 17.92857], [72.820909, 19.208234], [72.824475, 20.419503], [72.630533, 21.356009], [71.175273, 20.757441], [70.470459, 20.877331], [69.16413, 22.089298], [69.644928, 22.450775], [69.349597, 22.84318], [68.176645, 23.691965], [68.842599, 24.359134], [71.04324, 24.356524], [70.844699, 25.215102], [70.282873, 25.722229], [70.168927, 26.491872], [69.514393, 26.940966], [70.616496, 27.989196], [71.777666, 27.91318], [72.823752, 28.961592], [73.450638, 29.976413], [74.42138, 30.979815], [74.405929, 31.692639], [75.258642, 32.271105], [74.451559, 32.7649], [74.104294, 33.441473], [73.749948, 34.317699], [74.240203, 34.748887], [75.757061, 34.504923], [76.871722, 34.653544], [77.837451, 35.49401]]]}}]}
ISO --> {'alpha2': 'IN', 'alpha3': 'IND'}
languages --> ['hi', 'en']
latlng --> [20, 77]
nativeName --> भारत
population --> 1263930000
provinces --> ['Andaman and Nicobar Islands', 'Andhra Pradesh', 'Arunachal Pradesh', 'Assam', 'Bihar', 'Chandigarh', 'Chhattisgarh', 'Dadra and Nagar Haveli', 'Daman and Diu', 'Delhi', 'Goa', 'Gujarat', 'Haryana', 'Himachal Pradesh', 'Jammu and Kashmir', 'Jharkhand', 'Karnataka', 'Kerala', 'Lakshadweep', 'Madhya Pradesh', 'Maharashtra', 'Manipur', 'Meghalaya', 'Mizoram', 'Nagaland', 'Odisha', 'Puducherry', 'Punjab', 'Rajasthan', 'Sikkim', 'Tamil Nadu', 'Telangana', 'Tripura', 'Uttar Pradesh', 'Uttarakhand', 'West Bengal']
region --> Asia
subregion --> Southern Asia
timezones --> ['UTC+05:30']
tld --> ['.in']
translations --> {'de': 'Indien', 'es': 'India', 'fr': 'Inde', 'ja': 'インド', 'it': 'India'}
wiki --> http://en.wikipedia.org/wiki/india

That's it. we are done. You can customize your code further according to your need. You can do the same for any country of your choice.

With these steps, we have successfully Retrieved data of a Country. That's it! You can play around with the countryinfo library and even explore more features.

Simple, isn't it? Hope this tutorial has helped. I would strongly recommend you to Check out the YouTube video of the same and don't forget to subscribe to my Channel.

You can find all the code at my GitHub Repository. Drop a star if you find it useful.

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See you in my next Blog article, Take care!!

Catalin's Tech's photo

Great article! Time to practice geography! (¬‿¬)

Ayushi Rawat's photo

Thank you so much Catalin 🙂

ibikunle gabriel's photo

Awesome article

Ayushi Rawat's photo

Thank you 🙂

Andrew Baisden's photo

Excellent good quality content keep up the good work!

Ayushi Rawat's photo

Thank you so much 😀