You can also change the interval to be "1d" for daily, "1wk" for weekly, and "1mo" for monthly. The significant advantage of this method is you can get historical data by simply changing start_date and end_date parameters on this method. We also get minute data of the previous two days, as it may cause issues on the weekends, just to be cautious. We pass "1m" to the interval parameter in the get_data() method to extract minute data instead of daily data (default). Return last_updated_datetime, latest_price * amount # return the latest datetime with the converted amount Last_updated_datetime = latest_pydatetime() Latest_data = si.get_data(symbol, interval="1m", start_date=datetime.now() - timedelta(days=2)) # extract minute data of the recent 2 days Yahoo_fin does an excellent job of extracting the data from the Yahoo Finance web page, and it is still maintained now we use the get_data() method from the stock_info module and pass the currency symbol to it.īelow is the function that uses this function and returns the converted amount from one currency to another: def convert_currency_yahoofin(src, dst, amount): Importing the libraries: import yahoo_fin.stock_info as si This section uses the yahoo_fin library in Python to make a currency exchanger based on Yahoo Finance data. Yahoo Finance provides financial news, currency data, stock quotes, press releases, and financial reports. That's great! Xe usually updates every minute too, so it's real-time! Scraping Yahoo Finance This time, we get the source and target currencies as well as the amount from the command-lines, trying to convert 1000 EUR to USD: $ python currency_converter_xe.py EUR USD 1000 # make the request to to get current exchange rates for common currenciesĬontent = requests.get(f"") The following function is responsible for making a request to that page and extracting the data from the tables: def get_exchange_list_xrates(currency, amount=1): If you go to the target web page, you'll see most of the currencies along with the most recent date and time. In this section, we will extract the data from the website. To get started, we have to install the required libraries for all the methods below: $ pip install python-dateutil requests bs4 yahoo_fin Scraping X-RATES This tutorial will cover six different ways to get the most recent foreign exchange rates, some of them parse the rates from public web pages such as X-RATES and Xe, and others use official APIs for more commercial and reliable use, such as Fixer API, Currency Conversion API, and ExchangeRate API, feel free to use any one of these.įeel free to jump into the method you want to use: This tutorial will make a real-time currency converter using several methods utilizing web scraping techniques and APIs. We can easily find such tools for free on the Internet. Don't wait, try it today!ĭisclosure: This post may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission.Ī currency converter is an app or tool that allows you to quickly convert from one currency to another. Perfect for those times when you need a quick solution. Github clone url.Get a head start on your coding projects with our Python Code Generator. The repo is structured like a package, so it can be installed from pip using After completed, I will attempt to repair the gathering of secondary data. Redesign of the package is still a work in progress. Although, some of the secondary data that is supposed to be collected in the result objects is not yet working.
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