Dax historical data yahoo finance

I am interested in analyzing the balance, income and cash flow statements from Yahoo Finance for multiple tickers using R. I have seen that there are R packages that pull information from Yahoo Finance, but all the examples I have seen concern historical stock price information. Is there a way I can pull historical information from these statements using R? For example, for Apple (AAPL) the retrievable links are as follows: • • • In essence, the goal is to create three data-frames ( AAPL_cashflow, AAPL_income& AAPL_balance) that consists the same pattern as on the website. Each row is identified by the type of financial and the columns are the date. Does anybody have any experience with parsing and scraping tables? I think that rvest can help with this, right? Thanks in advance! With a handful of packages from the tidyverse, this should get you started: library(tidyverse) library(rvest) "https://finance.yahoo.com/quote/AAPL/financials?p=AAPL" %>% read_html() %>% html_table() %>% map_df(bind_cols) %>% as_tibble() # A tibble: 28 x 5 X1 X2 X3 X4 X5 1 Revenue 9/30/2017 9/24/2016 9/26/2015 9/27/20… 2 Total Revenue 229,234,000 215,639,000 233,715,000 182,795… 3 Cost of Revenue 141,048,000 131,376,000 140,089,000 112,258… 4 Gross Profit 88,186,000 84,263,000 93,626,000 70,537,… 5 Operating Expenses Operating Expenses Operating Expenses Operating Expenses Operati… 6 Research Development 11,581,000 10,045,000 8,067,000 6,041,0… 7 Selling General and Administrative 15,261,000 14,19...

Retrieving historical stock data for analysis can be somewhat of a task. Many APIs that provide this information require some type of membership, account, or even fee before you have access to the data. Fortunately, Yahoo Finance offers the information free of charge on their site with the ability to download historic stock data. However, using the site to do this can become a hassle when you want to retrieve new data on the fly or when needing data for many different companies, EFTs, Index Funds, etc. In this post, I will show you how to use Python to create a class that can retrieve data for any ticker that Yahoo has data for. This can be done easily and on the fly for any number of tickers. In subsequent posts, I will be using this “API wrapper” for projects pertaining to stock price/time series simulation and analysis. The API I’m not familiar with any official APIs offered by Yahoo Finance but many people take advantage of the fact that historic data can be directly downloaded from the site. When downloading this data you’re essentially “navigating” to a different URL but rather than leaving the current page this URL will just download a file. We can take advantage of this using the The great thing about Pandas, besides almost everything, is the ability to pass into the data frame constructor anything that will result in a CSV file, this includes URLs that download CSVs. This is something taken advantage of in the following API. The Class We define a class to be used ...

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