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|  How to Get Currency Exchange Rates with Fixer.io API in Python

How to Get Currency Exchange Rates with Fixer.io API in Python

October 31, 2024

Learn how to seamlessly fetch currency exchange rates using Fixer.io API in Python. Step-by-step guide to simplify your coding journey.

How to Get Currency Exchange Rates with Fixer.io API in Python

 

Introduction to Fixer.io API

 

  • Fixer.io is a simple and lightweight API for current and historical foreign exchange rates published by the European Central Bank. With Fixer, you can retrieve exchange rate data in real-time and historical formats.
  • It offers a Free Plan with limited features, but you can access more endpoints and data sets with the paid subscriptions.

 

Setting Up Your Environment

 

  • Ensure you have Python installed and an environment setup for your project. A virtual environment is recommended to manage dependencies effectively.
  • Install the necessary libraries using pip. You will need the requests library to make HTTP requests to the API. Run the following command in your terminal or command prompt:
pip install requests

 

Making a Request to Fixer.io API

 

  • To interact with the API, you'll construct a URL for a GET request. The endpoint for the latest rates is http://data.fixer.io/api/latest.
  • You need to include your access key in the request for authentication. This is done by adding a parameter named access\_key to your URL.
import requests

API_KEY = 'YOUR_ACCESS_KEY'
BASE_URL = 'http://data.fixer.io/api/'

def get_latest_rates():
    url = BASE_URL + 'latest'
    params = {
        'access_key': API_KEY
    }
    response = requests.get(url, params=params)
    if response.status_code == 200:
        data = response.json()
        print(data)
    else:
        print(f"Failed to retrieve data: {response.status_code}")

get_latest_rates()

 

Parsing the API Response

 

  • The API response will be in JSON format. It typically includes a dictionary with keys like 'success', 'timestamp', 'base', 'date', and 'rates'.
  • Rates will be another dictionary inside the JSON, containing currency codes as keys and their exchange rates as values.
def parse_exchange_rates(data):
    if not data.get('success'):
        print("Failed to retrieve rates:", data.get('error'))
        return
    base_currency = data['base']
    rates = data['rates']
    for currency, rate in rates.items():
        print(f"1 {base_currency} = {rate} {currency}")

response_data = get_latest_rates()

if response_data:
    parse_exchange_rates(response_data)

 

Fetching Historical Exchange Rates

 

  • To retrieve historical rates, adjust the endpoint in your request to http://data.fixer.io/api/{date}, where {date} is in the format YYYY-MM-DD.
  • Add the desired date to the URL and make the request similar to how you fetched the latest rates.
def get_historical_rates(date):
    url = BASE_URL + date
    params = {
        'access_key': API_KEY
    }
    response = requests.get(url, params=params)
    if response.status_code == 200:
        return response.json()
    else:
        print(f"Failed to retrieve data: {response.status_code}")
        return None

historical_data = get_historical_rates('2023-05-01')

if historical_data:
    parse_exchange_rates(historical_data)

 

Handling Common Issues

 

  • Always check for the success key in the response to verify that your request executed correctly.
  • Handling exceptions and errors gracefully will ensure your application is robust. Consider implementing retry logic or alternate services in case of API downtime.
  • Manage API request limits to stay within your subscription's quota, potentially by batching requests or caching responses.

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