To your first question, you can’t really do any query through YQL to get data for all companies. It’s more oriented towards obtaining data for a smaller query. (I.e., it’s not going to give you a full data dump of the whole Yahoo! Finance database.) To your second question, here’s how you can get started … Read more
When you’re going to work with such time series in Python, pandas is indispensable. And here’s the good news: it comes with a historical data downloader for Yahoo: pandas.io.data.DataReader. from pandas.io.data import DataReader from datetime import datetime ibm = DataReader(‘IBM’, ‘yahoo’, datetime(2000, 1, 1), datetime(2012, 1, 1)) print(ibm[‘Adj Close’]) Here’s an example from the pandas … Read more
Yahoo has gone to a Reactjs front end which means if you analyze the request headers from the client to the backend you can get the actual JSON they use to populate the client side stores. Hosts: query1.finance.yahoo.com HTTP/1.0 query2.finance.yahoo.com HTTP/1.1 (difference between HTTP/1.0 & HTTP/1.1) If you plan to use a proxy or persistent … Read more
i had a similar problem. yahoo doesn’t offer it, but you can get one by looking through the document.write statements on nyse.com’s list and finding the .js file where they just happen to store the list of companies starting with the given letter as a js array literal. you can also get nice tidy csv … Read more