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Email finder

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Find likely work emails from name and company. Get a confidence score and possible formats. Built for faster outreach and verification.

Want to scrape data in bulk? Try Thunderbit for free.

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Find Verified Leads with ThunderbitUse Thunderbit’s Chrome extension to scrape and extract contact data from websites fast. Automate collection across pages and export structured results in a few clicks.
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Find Verified Leads with Thunderbit

Scrape websites, subpages, PDFs, docs, and images to collect names, emails, and company details into a structured table. Use AI Suggest Fields to detect the right columns, then summarize, categorize, and format the results for outreach. Export your extracted data to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use pagination and subpage scraping to scale lead research across directories and profile pages with minimal setup.

How to Find Professional Email Addresses Using Thunderbit

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STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
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STEP 2Open ExtensionOpen Chrome and click the Thunderbit extension icon to launch Thunderbit. In the tool list, open the "Email Finder" tool and select the "Find an Email Address" tab. Enter the person’s full name in the "full_name" field and the company name or domain in the "company" field. If you have extra context such as job title, location, department, or a LinkedIn URL, add it to "additional_details" to improve the match.
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STEP 3Click the Find email ButtonClick the "Find email" button to run the search. Thunderbit will return the most probable work email address, along with a confidence score and a status label (high, medium, or low), plus alternative plausible email formats for the same domain. Copy the result for outreach, or paste it into your CRM or spreadsheet for follow-up and verification.

Learn how to find professional email addresses from a name and company

Generate a likely work email from name and company

Email Finder helps you predict a professional email address using a person’s full name and a company name or domain. It infers the correct email domain, then applies common corporate naming patterns such as first.last or first initial plus last name. This is built for sales, recruiting, partnerships, and customer success teams that need a practical starting point for outreach without manual searching.
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Refine results with extra context and confidence scoring

Add optional details like job title, location, department, or a LinkedIn URL to narrow down matches when names are common. The tool returns one best-guess email plus a confidence score and a simple status label (high, medium, low) so you can decide whether to use it for outreach, queue it for verification, or request more information. It also lists alternative formats to cover common variations.
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Build lead lists for outbound and recruiting workflows

Use Email Finder when you have a list of people but missing contact details, such as conference attendees, target accounts, or candidate shortlists. Provide each person’s name and company domain to produce a probable email and a set of alternatives you can test in your outreach stack. This supports SDR teams, agency prospecting, and recruiters who need consistent contact fields for CRM enrichment.
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Verify email patterns for account research and data hygiene

Email Finder is useful for confirming a company’s email format when cleaning spreadsheets, deduplicating contacts, or standardizing records across tools. If you already know the domain, the tool helps you align names to the most likely pattern and flags uncertainty with a lower confidence score. Operations and RevOps teams can use the alternatives list to reduce bounce risk and improve contact accuracy.
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What users say about Thunderbit

Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.

Frequently Asked Questions

Extract Data using AI
Easily transfer data to Google Sheets, Airtable, or Notion
Chrome Store Rating
PRODUCT HUNT#1 Product of the Week
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