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CSV Email Extractor — Free, No Upload

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Supported formats: .csv,.xlsx,.xls,.xlsm,.xlsb,.tsv

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How to extract email addresses from a CSV

  1. Load your file. Drop a CSV, Excel or text file onto the tool. It stays in your browser — nothing is uploaded.
  2. Let it scan every cell. The extractor reads all columns and free text, matching anything in email format — including addresses buried in notes, comments or "Name <email>" strings.
  3. Deduplicate and export. Collapse the matches to a unique list in one click, then download a clean single-column CSV ready for your CRM or mailing tool.

About Email Extractor

Extract every email address from a CSV, Excel or text file in one pass — scans all columns and free text, deduplicates, and exports a clean list. Runs entirely in your browser, nothing uploaded.

Contact exports rarely keep email addresses in a tidy dedicated column. They end up inside notes fields, "comments", concatenated "Name <email>" strings, signature blocks pasted into a cell, or scraped page text saved as CSV. This tool scans every cell of the file with an email-format regular expression (local-part@domain, including plus-addressing, subdomains and new gTLDs) and pulls out every match, whichever column it sits in.

Matches are collected into a single clean column. You can keep every occurrence or collapse to a unique list in one click, and the result downloads as a CSV ready to import into a mailing tool or CRM.

Everything runs client-side, so a file full of customer or lead contact data never leaves your machine — no upload, no server queue, no third-party seeing your list.

Category: Transformation & Logic

Common Use Cases

  • Pull every email address out of a "notes" or "comments" column in a CRM export
  • Extract contact emails from scraped web-page text saved as CSV
  • Recover addresses buried in a support-ticket export where they were never stored in their own field
  • Turn a messy "Name <email@domain>" column into a clean address list
  • Build a deduplicated outreach list from several exports pasted into one sheet

Key Features

  • Scans all columns and free text, not just a dedicated email field
  • Regex tuned to real-world addresses: plus tags, subdomains, long TLDs, mixed case
  • One-click deduplication to a unique list, or keep every occurrence with its source row
  • Exports a clean single-column CSV ready for a CRM or mailing tool
  • Fully client-side — the file and the extracted addresses never leave your browser

The Email Extractor tool is compatible with: CRM exports, Excel / Google Sheets, Scraped web text, Support ticket exports.

Run Uniqueness afterward if you need the list collapsed to unique addresses with counts, or use Phone Extractor and URL Extractor on the same file to pull the other contact details out in the same session.

Frequently Asked Questions

How do I extract email addresses from a CSV file?

Open your CSV here, and the tool scans every cell for anything matching an email pattern and outputs the matches as a clean column. No formula or script needed, and nothing is uploaded.

Does it work on any column, or just an "email" field?

Any column, plus free text. It reads notes, comments, concatenated "Name <email>" strings and pasted signatures — not only a dedicated email field.

Does it remove duplicate addresses?

Yes. You can collapse the output to a unique list in one click, or keep every occurrence alongside the row it came from.

Is my contact list uploaded anywhere?

No. Parsing and extraction run entirely in your browser. The file and the resulting address list never touch a server.

Can it handle Excel files too?

Yes — drop in an .xlsx or .xls and it is read the same way as a CSV before extraction.

Will it catch unusual addresses like [email protected]?

Yes. The pattern handles plus-addressing, subdomains, hyphens and longer modern TLDs.

A fast way for marketing, sales and support teams to rebuild a contact list from messy exported text without writing a regex or pasting data into a website.

Read the related guide