Excel for Mac now supports Power Query refresh for many data sources, as well as query creation through VBA. Authoring in the Power Query Editor is not supported yet. Refresh Power Query queries You can refresh queries that use local.TXT.CSV.XLSX.XML or.JSON files as data sources. Earlier versions of Office for Mac implemented a command called MacScript that supported inline AppleScripts. Although that command still exists in Office 2016 for Mac, MacScript is deprecated. Due to sandbox restrictions, the MacScript command cannot invoke other applications, such as Finder, in Office 2016 for Mac. Thanks for your video above. I'm contemplating moving from PC to Mac, and trying (without much success) to understand how complete the VBA implementation is in Mac Office 2016. I recently tested an xlsm file I wrote in PC Excel 2007 on a friend's Mac Office 2016, and it choked on trying to create a Word file from within Excel. It's just that web scraping is something most people don't think of, let alone think of using a spreadsheet program to do the job. But it's surprisingly easy, and powerful. Let's learn how it's done by making a collection of Microsoft Office keyboard shortcuts. Find the Sites You Want to Scrape. I have been scraping data from Yahoo Finance pages for years with VBA code in Excel (now in Excel 2010) by opening an IE window and working with the data from the document HTML. Aside from adjusting for Y.F. Making changes often I've been able to get everything I need either from stock quote pages or from portfolios I have created.
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This free spreadsheet is a solution for share traders who relied on the Yahoo Finance historical price extract feature that was suddenly discontinued. You can use this new method in Excel to extract the historical price for any security from the Yahoo Finance website.
Yahoo Finance has always been a great source of information for share traders. Some recent changes in the format of the Yahoo website have resulted in errors for many of the extract and data scraping methods that many Excel users have relied upon. This post will describe a new method that can be used within Excel to extract the historical price for any security from the Yahoo Finance website. In a future post this will be extended to extract dividend information for any security.
A quick search of the Yahoo forum reports the advice from 'Official 'Hoo Staff' that the Finance API has been discontinued by the Finance team and that they do not intend to reintroduce that functionality. Mosaic photo frame software, free download windows 7.
The revised finance website from Yahoo offers the same information but with many more options. The ability to download historical prices has significantly changed but with some new routines you can easily replace your existing historical price extract routines in your own Excel workbook. Here are the steps that we took to create this revised method.
The URL https://au.finance.yahoo.com/quote/BHP.AX/history?p=BHP.AX provides the historical list of prices to your browser. The default is to display daily prices for the the previous year.
If you hover over the 'Download Data' link you see the following URL
https://query1.finance.yahoo.com/v7/finance/download/BHP.AX?period1=1493123204&period2=1495715204&interval=1d&events=history&crumb=WxrLhK9KSAq
(note: the URL above worked when the post was first created, but due to the validity periods for the crumb parameter it may no longer work)
Track your share portfolio performance in one place with ShareTrade Tracker. This custom built Excel spreadsheet for traders includes a Historical Price Extract function, and automated retrieval of share prices and dividends, including franking credits & franked % for Australian shares. The addition of a filtered dashboard, charts and reports give traders the tools they need to monitor their trading performance.
The download URL is the made up of the following components that we have replicated below to automate the retrieval of the historical price data into an Excel workbook.
https://query1.finance.yahoo.com/v7/finance/download/BHP.AX?
The new starting query URL string and includes the security code. Only one security at a time for this request.
period1=1493123204&period2=1495715204
The start and end date for the data download. These are in a unix date format that is calculated from 1st January, 1970. In this case the date range was 25 May 2016 - 25 May 2017.
interval=1d&events=history
The interval for the extract is daily with '1d' and the historical price is returned via the events parameter.
&crumb=WxrLhK9KSAq
Finally the crumb which was the most complicated part of the download URL to replicate. We found in our testing that this could sometimes be re-used and other times needed to be regenerated. It was paired with a cookie that was not contained in the URL request that also needed to be supplied for the download to succeed.
We developed an Excel workbook that used a 'cookie & crumb' approach to mimic a Yahoo website request. This worked for some months and further changes to the website rendered that method invalid and the prices were no longer returned. We have now developed an alternate method that used 'scraping' to extract the prices we are interested in. This method relies on a basic WinHTTP call and is likely to remain working into the future. Even if Yahoo make changes to the structure of their price history page the 'scraping' code can be updated to reflect any new tags that are required.
We have listed the key code component below that is the basis of this new method.
You can download for FREE the updated Yahoo Historical Price workbook at the bottom of this page and run the price extract for yourself. With this updated version to get access to the VBA code that is used to 'scrape' the prices from the Yahoo website we are charging a one-off cost. For details on accessing the VBA code click here.
Get the Yahoo Scrape Request to extract Page data for Yahoo Prices
New Features - Historical Price Extract v9 - Released 26th February, 2019
Updates have been made to restore the capability of this spreadsheet to extract prices from Yahoo. It now uses a 'scraping' technique to return the prices for a group of security codes.
- Scraping price data from Yahoo website has restored the price extract
- Extract Method for users that can still use the 'Cookie & Crumb' approach it is available for selection at the top of the worksheet.
See below an image to demo the sample workbook that is provided. Enter the security code and required date into the highlighted cells then click 'Extract Historical Data'. The historical price will then be returned for each security. The date returned will be the closest possible prior to the supplied date.
Note: This workbook has been tested on Windows running Office 2013. No testing on MAC has been performed. It may work for a MAC environment but will require Windows virtualisation.
Download Your Free Historical Price Extract Spreadsheet
We will use the details entered below to add you to our mailing list to receive the free download file and latest news about free spreadsheets and products from the XLAutomation team. You will have the option to unsubscribe at any time.
IMPORTANT NOTE: If you have previously download Historical Price Extract you will have received an unlocked copy of the workbook with access to the VBA source code. In this updated version we have hidden the VBA source code. For a one-off cost of $49 (AUD) we can provide access to the source code. This small one-off cost will support changes to the Historical Price Extract should they be required in the future. Click here for more details on purchasing a copy of the VBA source code
- Scraping price data from Yahoo website has restored the price extract
- Extract Method for users that can still use the 'Cookie & Crumb' approach it is available for selection at the top of the worksheet.
See below an image to demo the sample workbook that is provided. Enter the security code and required date into the highlighted cells then click 'Extract Historical Data'. The historical price will then be returned for each security. The date returned will be the closest possible prior to the supplied date.
Note: This workbook has been tested on Windows running Office 2013. No testing on MAC has been performed. It may work for a MAC environment but will require Windows virtualisation.
Download Your Free Historical Price Extract Spreadsheet
We will use the details entered below to add you to our mailing list to receive the free download file and latest news about free spreadsheets and products from the XLAutomation team. You will have the option to unsubscribe at any time.
IMPORTANT NOTE: If you have previously download Historical Price Extract you will have received an unlocked copy of the workbook with access to the VBA source code. In this updated version we have hidden the VBA source code. For a one-off cost of $49 (AUD) we can provide access to the source code. This small one-off cost will support changes to the Historical Price Extract should they be required in the future. Click here for more details on purchasing a copy of the VBA source code
Suggestions for next version of Yahoo Price Extract
1. Include Splits and Adjust Prices Overtime
Update the extract options to include an option that takes into account 'splits' reported by Yahoo and then an adjusted the share price to account for the split overtime. This would include additional columns to the extract to list when a split occurs for a security and then an 'adjusted share price' column to reflect how the share price has been affected for a single share over the time of the extract period.
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2. Option for Output Directory and File Format
Provide an option to specify or select a directory that will be destination for the output files. As part of that include an option to specify a File Format for the output files.
As voted by our website visitors the following Yahoo Price Extract suggestions that will be next on our list are ranked below. Have your say and use the voting form below to promote your favourite suggestion to the top. For details on each of the suggestions listed in the rankings refer to the short descriptions.
Today I want to show you how to integrate Excel and Python. In a way that we can call Python functions within Excel spreadsheets. This kind of integration is powerful because it gives the best of both worlds – Excel's simplicity and the power of Python! We will demonstrate this by building a stock tracker to extract/scrape financial data from websites using Excel & Python.
By the end of this tutorial, you will learn how to:
- Extract/scrape data from any website
- Call Python functions within a spreadsheet, using user-defined formulas in Excel
Part 1 – Web Scraping with Python
There are many ways to get financial data from the Internet, the easiest way is through an API. Still, we'll leave that to another tutorial. Today we'll scrape stock data from Yahoo Finance website using BeautifulSoup
and requests
. Once you learn this, you'll be able to scrape data from any website.
A word of caution for scraping websites: be aware of the target website's bandwidth limitations, don't flood it like sending thousands of requests in a second. That will be considered a DoS attack, which is regarded as a malicious act.
Now back to scraping, I'm using Chrome for this tutorial, but you can use any internet browser.
Let's find Apple's stock information on Yahoo Finance. Here is the URL: https://finance.yahoo.com/quote/AAPL, which looks like this:
First, we want to get its price: $262.47. Select this number on Yahoo Finance's website, right-click, then choose 'Inspect'. This will bring up the Chrome developer tools, which reveal the underlying HMTL code of the site we are viewing. A little bit of HTML knowledge helps a lot here because all the data we are trying to find is in HTML, and we just need to know where to look.
What we are interested in is a div
tag name, as unique as possible since a unique value will help narrow down the choices. I've settled on
line, but feel free to try other tags. The key to remember is that we need a tag (HTML code block) that includes the data we are trying to extract. We can see that the price is within our selected div
tag. If you want to try other tags, the one I selected in yellow should also work
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Installing Python libraries
We need to use three Python libraries. If you don't have them already, use the following command line input to install them.
Getting the underlying HTML document
We can use the requests
library to get the entire HTML document of the page with 2 lines of code:
The requests
library allows us to send HTTP requests easily to any server. The get()
method returns a Response
object. A value of 200 means OK, which indicates that we have made a request to the server and received some data back successfully.
The Response
object contains a .content
attribute, which literally means the text/content of the response. In this case, it's the HTML code for the underlying website – Yahoo Finance. This text data is huge and we really don't want to print it on the screen – it will hang your Python IDE. There's no way we can extract data from such a large text data, so we need some help…
Pulling data from the HTML document
Since we care about only the information we are trying to scrape, namely stock price, volume, and etc., we can use BeautifulSoup
, which is a Python library for pulling data out of HTML files.
The soup.find_all()
method returns all the HTML code block that match the argument inside the parentheses. In our case, there's only one of them, which is the code block . Thanks to the unique tag value we picked earlier! Note this is not the only solution, so feel free to try other
div
tags. The key to remember is that you want a code block that includes the price.
The above screenshot is the entire div block with id='quote-header-info'. Price is within this block (green box). The object price
appears to be a list type object that contains 1 item, so we can access the actual div block text using price[0]
, since Python index starts from 0. We also want to further extract only the price from this nonsensical block of text. Note in the tag that contains the price, there's an attribute
data-reactid='14'
, we'll take advantage of it.
With a little bit assistance from the helper method .get_text(), we just extracted the current Apple stock price. Pay attention that this value is a string
type.
Let's try to scrape a few other pieces of information from the same website. For a stock tracker, I'm also interested in Apple stocks' volume and the next earning announcement date. Same technique here:
- On the webpage, select the data of interest, right click -> Inspect.
- Look for the block of HTML code that contains the data of interest. Pick one with a unique id or class.
- Use
BeautifulSoup
‘s engine to find the element that contains the data of interest. Then extract the text value.
Good job! We have just completed the first part of the job! Next, let's look at how to bring the data into Excel spreadsheet seamlessly with an Excel formula!
Putting it Together
I'm posting a full version of the code, so feel free to grab it here, or from Github. The code is more complicated than the example we walked through, but the core concept is the same. Note that I place all the code inside a function named get_stock()
, which will return a list of data points we'd like to scrape. Note that the return value is called a list comprehension, which is essentially a Pythonic way to write a for loop in one line. Check out this tutorial if you want to learn about it.
Part 2 – Calling Python functions in Excel
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Let me introduce another excellent tool – xlwings
, which is a Python library that allows us to leverage the power of Python from and with Excel. With it, you can automate Excel spreadsheets, write macros in Python, or write user-defined functions (UDF).
Here, we only focus on how to create user-defined functions in Python and use them in Excel. Check out this tutorial if you need help with xlwings
setup, or if you are interested in learning about how to automate Excel or write macros in Python.
Setting up the Excel file
- In Excel, open File -> Excel Options -> Trust Center -> Trusted Center Settings -> Macro Settings. Check the box to enable
Trust access to the VBA project object model
. - Install the xlwings Excel addin, download the xlwings.xlam file here: https://github.com/xlwings/xlwings/releases
- Double click the downloaded xlwings.xlam file to install it. In Excel, open Developer -> Add-Ins, make sure the xlwings addin is properly installed.
- Open the VBA editor (Developer -> Visual Basic or press Alt + F11).
- Check xlwings box under Tools -> References. Save and close the VBA editor.
- Now you should see an Excel tab appear for xlwings.
- Save this Excel file on your computer. I'm naming my file as 'Tracker.xlsb'.
Setting up the Python script
The setup in Python is a lot easier compared to what we just did in Excel. Since we are creating user defined functions (UDF), we need to write a function in Python, and the function has to return some data to us. We did this in part 1 of the tutorial. Then, follow the below steps:
- Inside the Python code, right above the Python function, add a decorator line
@xw.func
. This decorator will allow you to use call Python functions from Excel. - Place this Python script in the same directory as the Excel file that we just saved.
- Name the Python script with the same name as the Excel file. The Excel file can be either .xlsm or .xlsb format.
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Now the setup is complete. One last step we need to do is to load the Python function into Excel. Grep gui mac. We do this by clicking on the Import Functions in the xlwings tab in Excel. Remember, every time we make a change in the Python code, we need to re-import it here.
It's testing (and fun) time!
Our user defined function get_stock()
can return multiple data points in Excel by using an array formula. If you don't know how to enter an array formula, here's what you need to do to create one, using the below screenshot as an example.
- Select a range in Excel (
B4:L4
) - Enter the formula inside the formula bar (
=get_stock(A4,$B$1:$L$1)
) - Simultaneously press Ctrl + Shift + Enter
To re-cap, now you know how to:
- Scrape website with Python using
requests
andBeautifulSoup
- Use
xlwings
to create user defined functions (UDF) in Python and call them within Exce
Enjoy your new stock tracker spreadsheet!