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- Go to the exchange rates API documentation. For example, for exchangerate-api.com, the documentation is at https://www.exchangerate-api.com/docs.
- Find the API endpoint that you need to call to get the exchange rates data. For instance, a typical API endpoint could be https://api.exchangerate-api.com/v4/latest/USD.
- Use a programming language that can perform HTTP requests. For this example, we will use Python and its requests library.
- If you don’t have the requests library installed, install it using pip:
pip install requests
Create a new Python script to send a request to the API and handle the response.
import requests
import json
# Define the API endpoint URL
url = 'https://api.exchangerate-api.com/v4/latest/USD'
# Send a GET request to the API
response = requests.get(url)
# Check if the request was successful
if response.status_code == 200:
# Parse the response to JSON format
data = response.json()
# Now `data` is a Python dictionary containing the exchange rates
else:
print(f"Error: Unable to fetch data. Status code: {response.status_code}")
exit()
# Define the filename where you want to store the data
filename = 'exchange_rates.json'
# Write the JSON data to a file
with open(filename, 'w') as json_file:
json.dump(data, json_file, indent=4)
print(f"Data successfully written to {filename}")
- Execute the script from your command line or terminal by running:
python your_script_name.py
- If the API call is successful, you will see a message indicating that the data has been written to exchange_rates.json.
Open the exchange_rates.json file in a text editor or use a command line tool like cat on Unix systems or type on Windows to view its content and ensure that the data is correctly formatted in JSON.
- Make sure your script handles possible errors like network issues, invalid API keys, or exceeding rate limits.
- Implement error handling in your script to manage such situations gracefully.
If you need to fetch the data regularly, consider scheduling the script to run at specific intervals using cron jobs (on Unix systems) or Task Scheduler (on Windows).
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Used by tens of thousands of developers, Exchange Rates API provides accurate and reliable currency data instantly through its free, simple-to-use API interface. With more than 10 years of exceptional API uptime and support, developers trust Exchange Rates API to provide fast and accurate conversion rates for 160 different currencies as well as essential stock market data in JSON format. They have worked hard to achieve their mission of building a remarkably hardware efficient and reliable currency converter API.
Exchange Rates API provides access to various types of data related to currency exchange rates. The API offers real-time and historical exchange rates for over 170 currencies, including cryptocurrencies. The following are the categories of data that the Exchange Rates API provides:
• Real-time exchange rates: The API provides real-time exchange rates for various currencies, which are updated every minute.
• Historical exchange rates: The API offers historical exchange rates for up to 10 years, allowing users to analyze trends and patterns in currency exchange rates.
• Currency conversion: The API allows users to convert one currency to another using the latest exchange rates.
• Time-series data: The API provides time-series data for exchange rates, allowing users to track changes in exchange rates over time.
• Currency metadata: The API provides metadata for various currencies, including their names, symbols, and ISO codes.
• Cryptocurrency data: The API provides real-time exchange rates for various cryptocurrencies, including Bitcoin, Ethereum, and Litecoin.
Overall, the Exchange Rates API provides a comprehensive set of data related to currency exchange rates, making it a valuable resource for businesses and individuals who need to track currency exchange rates.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: