In fact, yfinance is widely known to already have a few issues.Īs a quick aside, data scraping works by simply downloading the HTML code of a web page, and searching through all the HTML tags to find the specific elements of a page you want.įor instance below is the Yahoo Finance Apple (‘AAPL’) historical data page: As such, the functionality of some of it’s methods is at the mercy of Yahoo not changing the layout or design of some of their pages. yfinance mainly makes API calls to Yahoo Finance to gather it’s data, but it does occasionally employ HTML scraping and pandas tables scraping to unofficially gather the information off the Yahoo Finance website for some of it’s methods. For example Alpha Vantage provides modules that calculate various technical analysis indicators for you- obviously an enormous effort save if you want to build an algorithm utilising any of them! yfinance just provides the basics. This obviously isn’t ideal if you want to build model that relies in part on sentiment analysis, so if you want that sort of data, you might want to check out RapidAPI (which will talk about more shortly) that does offer such data.Īlso, other market data alternatives often include interesting extras. Despite the fact you can use it to get a good range of core data, including options and fundamentals data, yfinance doesn’t provide a method to scrape any of the news reports/analysis that are available on Yahoo Finance. Can get yourself rate limited/blacklisted.Unofficial / not necessarily maintained.Why shouldn’t I use the yfinance library? » Here are some alternative (mostly) free data sources and guides: This is on contrast to some other options to access Yahoo Finance’s data where you will get lengthy JSONs you need parse for the specific information you want, and will have to manually convert to data-frames yourself. Yfinance also handily returns data directly in padas dataframes or series. However it is important to note that the 1m data is only retrievable for the last 7 days, and anything intraday (interval <1d) only for the last 60 days. One cool feature of yfinance is that you can get highly refined data, all the way down to 5 minute, 3 minute and even 1 minute data! The full range of intervals available are: 1m, 2m, 5m, 15m, 30m, 60m, 90m, 1h, 1d, 5d, 1wk, 1mo, 3mo Like this:ĭon’t worry, we’ll break down that code further in a bit!įurthermore, the documentation is concise- fitting on a single page, and the method names are very self explanatory. It’s as easy as creating a ticker object for a particular ticker/list of tickers and then just calling all the methods on this object. yfinance is highly Pythonic in it’s design and incredibly streamlined. No account creation required, or signing up for and using API keys! yfinance has just 4 dependencies, all of which come with Anaconda anyway, and installs fully in a single line of code. Installation couldn’t be quicker or easier. There are other ways to access the Yahoo Finance data, some free and some paid, and there are certain benefits to some of the options that require paying, like being ensured a degree of maintenance to the solution, but everybody loves free! Returns data directly in pandas dataframes/seriesĪs we have just mentioned yfinance is completely open source and free.
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