Unfortunately, you can only have one default setting at a time so you have to switch manually with C-c TAB in re-builder. If you do write a lot of elisp, you probably use (or should use!) rx to make your regexp experience in Emacs a bit more pleasant. ( setq reb-re-syntax 'string) Useful Keybinds emacs to switch the default syntax to string: ( require 're-builder) I recommend you switch to string right away there’s little reason to use read, and the extra escaping will drive you insane unless you’re used to writing regexp in elisp.Īdd this to your. Use this and not sregex or lisp-re if you want to use a lisp-style regexp engine. Yet another regular expression engine that uses s-expressions rxĪ third, and far more advanced, s-expression regexp engine. Example: \\(foo\\\|bar\\) sregexĪ symbolic regular expression engine that uses s-expressions instead of strings. Similar to read but you don’t have the issue of backslash plague that haunts the default settings. Similar to string but requires “double escaping” of backslashes like you would be required to do in elisp. You can either use customize ( M-x customize-variable RET reb-re-syntax RET) or set the variable ( reb-re-syntax) directly. There are five different syntax choices (see table below). What most people don’t know is re-builder’s support for different syntax but, sadly, not PCRE – sorry! It’ll even uniquely color capturing groups so you can tell them apart. But if you haven’t heard about it before, Emacs’s re-builder lets you interactively build a regular expression and see what it matches on the screen. All it is a IFS statement combined with a JOIN and FILTER to exclude empty cells for the JOIN.I doubt it’s a well-kept secret that Emacs has a regexp “helper” called M-x re-builder. This is quite similar to how my GSC rank tracker works, but I also bypass the sidebar to make it easier to use. Get the data to the table, and you'll have GSC data for just the queries you entered. Head to the filter area, set up a 'search query' filter with a 'matches regex' rule, and paste the rule you copied from the sheet. Use the GSC data source and configure however you like. To do that, enter the queries you want to pull data for in my sheet, set it to exactly matches and copy the regex rule. If you have a list of priority terms you're trying to optimise for, what you could do is utilise Supermetrics and filter for those specific terms to track performance. Then, give the field a name, enter the CASE statement in the example above with your regex pasted in over the example regex and click save. Next, create a calculated field in Data Studio by heading to your GSC data source field settings and selecting 'add a field' in the top right. To create the Regex within the Google Sheet, use a contains match type alongside entering a list of different brand variations in the table below. There are many ways you can use the CASE and REGEXP_MATCH functions, but one is to create a brand / non-brand split with the Google Search Console connector. One of the great things about Data Studio is CASE statements. You've now got a segment in Google Analytics monitoring those new URLs so you can quickly see the performance impact. Once you've done that, head to Google Analytics and create a new segment.Īfter you've done that, name your segment, head to conditions, choose 'Landing page' as your dimension, 'matches regex' as your match type and then paste the regex outputted from the tool. Say you've just completed a content gap and created a range of new categories pages targeting terms on your e-commerce site.Īll you have to do is copy your list of URLs and paste them into the sheet with a match type of 'Exactly matches'. One example use case is creating a segment within Google Analytics. You could use the regex examples across any of these tools, so make sure to experiment. To use the template, click the button above, then go to 'File > Make A Copy' in the top left.īelow are a few different ideas for how you could use this sheet to generate regex patterns that you can input into other tools.
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