Extract Elements from Text

Extract lines, words, characters, URLs, numbers, or patterns from a text.

Overview

This collection of operations is used to extract specific elements from a text, including lines, words, characters, URLs, numbers, and patterns.

1. Extract Words

This operation extracts individual words from a text. A word is a contiguous collection of characters delimited by a space.

Syntax

the text is "{input}"
get the text's words

Data

The table below lists the names of the data elements in this operation and indicates which can be renamed in the syntax.

Data Name	Can Be Renamed
the text	Yes

Parameters

Parameters are placeholders for data. Refer to the table below for details on each parameter in this operation. In the syntax, replace parameters with your own values.

Parameter	Description	Example	Required
input	The input text.	She quickly ran to the store.	Yes

Example

Automation

the sentence is "She quickly ran to the store."
get the sentence's words

Results

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2. Extract Lines

This operation extracts individual lines from a text. A line refers to a single row of text that is typically separated by a line break or new line character.

Syntax

the text is "{input}"
get the text's lines

Data

The table below lists the names of the data elements in this operation and indicates which can be renamed in the syntax.

Data Name	Can Be Renamed
the text	Yes

Parameters

Parameters are placeholders for data. Refer to the table below for details on each parameter in this operation. In the syntax, replace parameters with your own values.

Parameter	Description	Example	Required
input	The input text.	The quick brown fox jumps over the lazy dog. It loves to run fast. The dog watches quietly. Both enjoy the open field.	Yes

Example

Automation

the paragraph is "The quick brown fox jumps over the lazy dog. \n It loves to run fast. \n The dog watches quietly. \n Both enjoy the open field."
get the paragraph's lines

Results

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3. Extract Characters

This operation extracts individual characters from a text.

Syntax

the text is "{input}"
get the text's characters

Data

The table below lists the names of the data elements in this operation and indicates which can be renamed in the syntax.

Data Name	Can Be Renamed
the text	Yes

Parameters

Parameters are placeholders for data. Refer to the table below for details on each parameter in this operation. In the syntax, replace parameters with your own values.

Parameter	Description	Example	Required
input	The input text.	Be kind	Yes

Example

Automation

the saying is "Be kind"
get the saying's characters

Results

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4. Extract URLs

This operation extracts URLs from a text.

Syntax

the text is "{input}"
get the text's URLs

Note: The terms url(s) or URL(s) can be used in any case and in either singular or plural form.

Data

The table below lists the names of the data elements in this operation and indicates which can be renamed in the syntax.

Data Name	Can Be Renamed
the text	Yes

Parameters

Parameters are placeholders for data. Refer to the table below for details on each parameter in this operation. In the syntax, replace parameters with your own values.

Parameter	Description	Example	Required
input	The input text.	Visit our website at https://www.example.com	Yes

Example

Automation

the subheader is "Visit our website at https://www.example.com"
get the subheader's url

Results

Notes

Implementation Detail: This is the regular expression used internally to find URLs in a given text: ((http|https)://)?\[a-zA-Z0-9./?:@-_\=#]+.(\[a-zA-Z]){2,6}(\[a-zA-Z0-9.&/?:@-_\=#])\*

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5. Extract Numbers

This operation extracts numbers from a text.

Syntax

the text is "{input}"
get the text's numbers

Data

The table below lists the names of the data elements in this operation and indicates which can be renamed in the syntax.

Data Name	Can Be Renamed
the text	Yes

Parameters

Parameters are placeholders for data. Refer to the table below for details on each parameter in this operation. In the syntax, replace parameters with your own values.

Parameter	Description	Example	Required
input	The input text.	There are 150 apples and 35 oranges in the basket.	Yes

Example

Automation

the sentence is "There are 150 apples and 35 oranges in the basket."
get the sentence's numbers

Results

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6. Extract Substring

This operation extracts substrings from a text.

Syntax

the text is "{input}"
get the text's substrings which match "{pattern}"

Data

The table below lists the names of the data elements in this operation and indicates which can be renamed in the syntax.

Data Name	Can Be Renamed
the text	Yes

Parameters

Parameter	Description	Examples	Required
input	The input text.	The order number is ORD123456 and should be processed by tomorrow.	Yes
pattern	A regular expression to match.	ORD[0-9]+	Yes

Example

Automation

the text is "The order number is ORD123456 and should be processed by tomorrow."
get the text's substrings which match "ORD[0-9]+"

Results