Automate tasks with Text Operations
Find, replace, extract, encrypt, shorten and many other operations with texts.
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Triggers
The trigger is the event that starts the automation.
Actions
The action is what happens automatically, without you having to do anything else.
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Hash a message
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Extract the first or Last URL from a text
Extract the first or last URL contained in a text.
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Get a substring
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Extract a hashtag
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Split a string
Split a text string into substrings using a character, a substring, or a regular expression as a delimiter.
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Convert JSON string into vars
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do a calculation
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Extract data from text
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Increase a counter
Given a counter with an initial value, each time the task is executed it will be increased by one unit.
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String repeat
Returns string repeated n times.
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Remove URLs from text
Given a text, remove all the URLs it contains.
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Modify uppercase/lowercase
Return a text in which the uppercase or lowercase letters have been modified according to the selected operation.
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Shorten text
Given a text it shortens it to a maximum number of characters.
- If the text consists of several sentences, only the first one is present.
- This operation does not cut words.
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Search and Replace text
Given a text, it allows you to perform one or more search and replacement operations.
- Accepts regular expressions.
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Match regular expression
Applies a regular expression to a text and returns a list of all matches.
This operation is the equivalent of the match command in Javascript. -
Extract data using regular expressions
Generates new tags with the data extracted from one or more regular expressions.
Each new tag is a list of 1 or more items according to the regular expression used. To access the values ​​of each tag, use the name followed by a period and the index of the element. For example {{new_tag.1}} to access the second value containing the tag.
This operation is equivalent to the command match in Javascript. -
Convert text into QR Code
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Calculate the sentiment score of this sentence