Скачать или смотреть Extract Text & Numbers Instantly in Google Sheets with REGEXEXTRACT!

Unlock the full power of text manipulation in Google Sheets with the EXTRACT function (technically done using REGEXEXTRACT) — one of the most underused yet powerful tools in spreadsheet formulas. Whether you’re a data analyst, project manager, or just someone who wants to clean up messy data, this short tutorial will help you extract exactly what you need in just seconds.

🧠 What Is REGEXEXTRACT in Google Sheets?

In Google Sheets, EXTRACT usually refers to the REGEXEXTRACT function, which allows you to pull out specific patterns of text using regular expressions (regex).

Syntax:

=REGEXEXTRACT(text, regular_expression)

• text: The cell or string to search through.
• regular_expression: A regex pattern that defines what you want to extract.

🧪 Common Use Cases:
1. Extract numbers from text:

=REGEXEXTRACT("Invoice #1245", "\d+")

Output: 1245
2. Extract words from a sentence:

=REGEXEXTRACT("Hello John Doe", "[A-Za-z]+")

Output: Hello
3. Extract email domains:

=REGEXEXTRACT("[email protected]", "@(.*)")

Output: email.com
4. Extract codes inside parentheses:

=REGEXEXTRACT("Mawalwi Hospital (2345)", "\(([^)]+)\)")

Output: 2345
5. Extract first name from full name:

=REGEXEXTRACT("John Smith", "^\w+")

Output: John
6. Extract hashtags from text:

=REGEXEXTRACT("Loving this #formula in #GoogleSheets!", "#\w+")

Output: #formula

🎯 Why Learn REGEXEXTRACT?
• Pull structured data out of unstructured text.
• Clean up imported forms or survey data.
• Save hours on repetitive manual copy-paste.
• Get insights from strings, URLs, log files, and more.
• Automate workflows in project management or data reporting.

🔄 Advanced Pattern Matching:
• \d matches digits
• \w matches letters/digits
• . matches any character
• +, *, and ? control repetition
• ^ anchors to the start of the string
• $ anchors to the end
• [] matches a range (like [A-Za-z])

Even a basic grasp of regex combined with Google Sheets functions like REGEXEXTRACT, REGEXREPLACE, and REGEXMATCH can make you 10x more efficient.

📌 Related Functions:
• REGEXREPLACE() – Replace parts of a string using regex
• REGEXMATCH() – Check if a string contains a pattern
• SPLIT() – Divide text based on a delimiter
• LEFT() / RIGHT() / MID() – Simpler alternatives for basic extractions

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