You can have it request price data every couple of seconds and log that into a daily time series database. One python package that I find pretty handy and is ystockquote You can also write scripts to track price data as fast as your internet goes. I wouldn't be surprised if you could employ similar methods on other Price Data-related websites. To arrive at that URL initially though, without having any idea for guessing / reverse-engineering it, I simply went here and used Developer Tools on my browser and tracked a background GET request which led me to that URL. The URL convention appears easy to input on your own once you have a list of Ticker Symbols and an understanding of the consistent syntax. downloading yahoofinance data for date ranges Ask Question Asked 1 year, 3 months ago Modified 1 year, 3 months ago Viewed 964 times 1 I have a dataframe with 900 tickers in it, and Im trying to download adjusted close prices -15 business days before said date through 30 business days after said date, for a total of 9 weeks of data. Similar to the Yahoo data URL that you shared, Bloomberg maintains 1-Day Intraday Price information in JSON format like this : I have found that the most affordable way to gather Intraday Stock Price data is to develop automated scripts that log price information for whenever the markets are open. Historical minute data is not as easily accessible as we all would like.
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