Iterating over an unknown number of pages in Power Query – avoid endless loops

The topic of Iterating over an unknown number of pages in Power Query has been covered many times. The first one I know was Matt Masson, who used the technique of a pre-generated list of page numbers (PageRange = {1..10000}).

This technique works well but may result in a long query execution time or could even run in a time-out by hitting the throttling limit on certain pages.

Omri Avissar came up with a new solution. Its benefit is shorter execution time and a reduced chance to run in a time-out. A great solution!

…Infinite loops

But yesterday I had to learn that this solution doesn’t work on every page. I wrote a query to pull data from the Power BI Kudos Leaderboard (1 Day). The leaderboard spans over only 2 pages and 5’000 rows of HTML Code. The query was incredible slow!

After some testing and reverse engineering, I found out, that the page redirects to the last page, if the page number is greater than the number of the last page.
was redirected to

The next call was page number 4, then 5 etc. Every time the result was the data of page number 2. An infinite loop! Thanks for that Microsoft 😉


So, I had to figure out a technique to compare the sent url with the received url. Fortunately, the site provides the url in the HTML Code in Row 13:

<meta content="Data shaping, modeling, and report building in the Power BI Desktop app." name="description"/><meta content="noindex" name="robots"/><meta content="text/html; charset=UTF-8" http-equiv="Content-Type"/><link href="" rel="canonical"/>

By using the brand-new Power Query command „Text.BetweenDelimiters“ I could get the desired information out of the HTML Code:


The function receives the url and the page number as input and calls the web page. As the page doesn’t provide any usable tables (………….), I had to import the HTML code, look for the desired line of code and compare the result with the original url. If it’s a match, the function gives back the whole HTML Code for further cleaning or otherwise the result is „false“.

All I had to do is to write a Query which uses the function.


I adjusted the technique of Omri Avissar and boom, there you are. With a little function, I was able to retrieve the data in short time.

Happy Querying!