Email Extractor

Extract email addresses from any website into a clean CSV list

DataLens scans any webpage for visible and pattern-matched email addresses and collects them into a structured list. Works on contact pages, directories, profile pages, and any site that displays emails — no code, no scripts, just a Chrome extension.

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Instant email detection

DataLens identifies email address patterns across any visible page content — including structured lists, contact pages, and directory tiles.

Bulk extraction from multiple pages

Supply a list of URLs to scan across multiple pages and export all discovered emails in a single CSV run.

Clean, deduplicated output

The output is a structured email list with source URLs — ready for import into outreach tools, CRMs, and email platforms.

Real-world use cases

A sales development rep working a list of target companies opens each 'Contact Us' or 'Team' page and uses DataLens to extract all visible email addresses in seconds — building a verified contact list directly from the companies' own websites rather than buying an email list from a data broker.

A conference organizer collects contact emails from association member directory pages across five industry bodies — extracting and merging the lists into a single outreach file for event promotion in under an hour.

A recruiter builds a pipeline by extracting faculty email addresses from university department pages to reach academic experts for consulting and advisory roles — sourcing contacts directly rather than via cold LinkedIn messages.

How it works

1
Open any webpage that displays email addresses in Chrome — a business directory, association member list, company contacts page, or academic faculty roster. Email addresses can be in structured lists, inside text paragraphs, or within profile cards.
2
Open DataLens from the Chrome toolbar and run the email detection scan. DataLens scans the page's rendered content for email address patterns and collects all matches, showing you a preview of discovered addresses before any export.
3
Review the discovered email list, remove any irrelevant entries if needed, and click Export. Download as CSV or Excel (XLSX) — each row includes the email address and the source page URL for traceability.

Frequently asked questions

These are the most common questions teams ask before using DataLens for this workflow.

What kinds of pages work best for email extraction?

Pages that explicitly display email addresses perform best: contact pages, directory listings with visible emails, academic faculty pages, association member rosters, and business profile pages. The more consistently structured the page, the cleaner the extraction. Pages that hide emails behind 'click to reveal' buttons or heavy JavaScript obfuscation may need to be fully revealed in the browser first.

Can I extract emails from multiple pages at once?

Yes. You can navigate through multiple pages in the same browser session and DataLens continues accumulating discovered email addresses across all pages visited. The export then produces a single CSV covering all pages, with the source URL column indicating which page each address came from.

Does it extract hidden or obfuscated emails?

DataLens scans the page as rendered in your Chrome browser, which includes emails loaded via JavaScript and those in the visible DOM. Standard obfuscation techniques — such as displaying it as 'name [at] domain [dot] com' in text — may not be detected, but most contact pages that display clickable mailto links will be extracted correctly.

Can I export the email list to CSV?

Yes. The discovered email addresses are exported as a structured CSV or Excel file. Each row includes the email address and the source page URL — essential for attribution when you are collecting from multiple pages. The file is ready to import into any outreach platform, CRM, or email marketing tool.

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