Email Extractor

Extract, classify, and export email addresses — right in your browser.

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Free Email Extractor with Business, Personal & Role Detection

Pulling raw email addresses out of a page of text is only half the job — the useful part is knowing which ones are actually worth reaching out to. The HB Tools Email Extractor scans any text, HTML source, TXT, or CSV file, pulls out every valid address, and automatically classifies each one as business or personal, role-based or individual, and flags disposable domains, all inside your browser.

Why Classification Matters More Than a Flat List

A raw list of emails is a starting point, not a usable dataset. A few examples of why the extra detail helps:

Extracting and Classifying Emails in Three Steps

  1. Add your content. Paste text, an HTML page source, or a list directly into the box, or click Upload File to load a .txt, .html, or .csv file.
  2. Set your extraction options. Leave Remove Duplicates on for a clean list, and turn on Detect Obfuscated Emails if the source hides addresses as name [at] domain [dot] com.
  3. Click Extract Emails. Every match lands in a table with its Domain, Type, Role, and Status already filled in — search, filter, sort, select, and export from there.

How Business vs Personal Is Decided

Each extracted address is checked against a list of well-known free email providers — Gmail, Yahoo, Outlook, Hotmail, iCloud, and similar services. Anything on that list is labeled Personal; everything else is labeled Business, since it's typically hosted on a company's own domain. It's a domain-based heuristic rather than a guarantee, but it's accurate for the overwhelming majority of real-world addresses.

Role-Based and Disposable Detection

Addresses that start with a department name instead of a person — info@, sales@, support@, hr@, careers@, marketing@, and similar prefixes — are flagged as Role-based rather than Personal, so you can separate generic inboxes from individual contacts at a glance. Separately, every domain is checked against a list of known disposable and temporary email providers; matches are flagged as Disposable in the Status column so you can filter them out before using the list for anything serious.

Search, Filter, Sort, and Select

Once a list is extracted, the search box narrows results as you type, and the dropdowns let you filter by domain, type, role, or status in any combination — useful for isolating, say, only the Business and Role-based addresses from one domain. Sort the table alphabetically or by domain to group results, then use the checkboxes to select specific rows to copy or delete, or work with the full filtered set at once.

Export to TXT, CSV, or XLSX

Whatever is currently visible after your filters and search — not the full original extraction — is what gets copied or downloaded, so you can narrow the table down to exactly the subset you want before exporting. TXT gives you a plain list of addresses, while CSV and XLSX include the Domain, Type, Role, and Status columns alongside each email, ready to drop into a CRM or spreadsheet.

Nothing You Paste Ever Leaves Your Browser

Scraped prospect pages, internal documents, and CSV exports are often not something you want sitting on a random server. This extractor never uploads your input anywhere — matching and classification happen with JavaScript running locally in your browser tab. Nothing is logged, nothing is stored remotely, and closing the tab clears everything instantly.

Other Free Lead Generation Tools by HB Tools

🌐 Domain Extractor 🔍 WHOIS Lookup 🔡 Case Converter 🔤 List Alphabetizer

Frequently Asked Questions

Paste the text, article, or HTML source into the box, or upload a TXT or CSV file, then click Extract Emails. The tool scans everything using a standard email pattern and returns every valid address it finds in a sortable, filterable table.
Yes, if you turn on Detect Obfuscated Emails before extracting. It recognizes bracket and parenthesis style obfuscation such as [at], (at), [dot], and (dot), and converts them back to normal @ and . characters before scanning.
No. Everything runs locally using JavaScript in your own browser tab. Whether you paste text or upload a file, nothing is transmitted anywhere, and the data disappears the moment you close or refresh the page.
Yes, by default, and matching is case-insensitive so John@Example.com and john@example.com count as the same address. You can switch the Remove Duplicates toggle off before extracting if you want to keep every occurrence instead.
Each extracted address is checked against a list of well-known free email providers such as Gmail, Yahoo, and Outlook. Addresses on those domains are labeled Personal, while everything else is labeled Business, since it's typically hosted on a company's own domain.
Addresses that start with a shared department name rather than a person's name, like info@, sales@, support@, or hr@, are flagged as Role-based rather than Personal. This is useful for separating individual contacts from generic inboxes when building an outreach list.
Yes. Extracted addresses are checked against a list of known disposable email domains such as Mailinator and Guerrilla Mail, and flagged in the Status column so you can filter them out before using the list.
Results can be copied to the clipboard or downloaded as a plain TXT list, a CSV with Domain, Type, Role, and Status columns, or an XLSX spreadsheet, whichever fits your next step best.