Email Format Finder
Email Format Finder
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Find the most likely email pattern for any company domain and generate probable addresses for a person. Get ranked formats with confidence to speed up outreach and reduce bounce risk.
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Find Leads Faster with ThunderbitUse Thunderbit to scrape websites and extract structured contact data in a few clicks. Automate collection across pages and export results to Sheets, Airtable, or Notion.
Install fromChrome Web Store
Find Leads Faster with Thunderbit
Thunderbit scrapes websites, subpages, PDFs, docs, and images to pull structured fields like names, roles, domains, and emails. Use AI Suggest Fields to map columns fast, then scrape and have Thunderbit summarize, categorize, and format the results for your workflow.
After extraction, export clean tables to Google Sheets, Airtable, or Notion, or download as CSV or JSON. Use subpage and pagination scraping to scale lead lists, and keep data organized with AI-powered labeling and formatting.
How to Find Email Format Using Thunderbit
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.
STEP 2Open ExtensionOpen the Thunderbit Chrome Extension in Chrome. In the tool list, select "Email Format Finder", then open the "Find Email Format by Domain" tab. Enter the required domain (for example, acme.com). Optionally add the company name to improve accuracy, and add a first name and last name if you want Thunderbit to generate a likely email address for a specific person.
STEP 3Click the Find email format ButtonClick the "Find email format" button to generate a table of predicted email patterns for the domain. Review the ranked formats and confidence scores, and if you provided a first and last name, review the predicted email values for that person. Export the results to Excel, Google Sheets, Airtable, or Notion, or download the data as CSV or JSON.
Learn how to predict a company’s email address format by domain
Predict email patterns from a domain
Email Format Finder analyzes a company domain and common corporate naming conventions to predict the most likely email format used across the organization. It returns multiple ranked patterns such as firstname.lastname@domain.com or f.lastname@domain.com, along with confidence scores and short rationales. This helps sales, recruiting, and partnerships teams avoid guesswork when they need a reliable way to construct valid work emails.
Generate a likely email for a specific person
Add a first name and last name to produce a likely email address for that individual, based on the predicted formats for the domain. The tool normalizes names (lowercasing and removing accents and punctuation) to reduce formatting errors, and provides examples for each candidate pattern. This is useful when you have a contact’s name but no direct email, and want a structured shortlist to validate.
Build outreach lists and enrich lead data
Use predicted formats to complete missing emails in lead lists, then pair the results with Thunderbit’s web scraping to collect names, roles, and company pages from directories or LinkedIn-style listings. After enrichment, export your table to Excel, Google Sheets, Airtable, or Notion for sequencing, CRM import, or team review. This workflow reduces manual research and keeps contact data consistent across tools.
Standardize contact discovery for recruiting and partnerships
Recruiters and partner managers can apply the same domain-based format logic across many target companies to create consistent contact hypotheses for candidates, hiring managers, or business stakeholders. Combine the output with Thunderbit’s Email Extractor and subpage scraping to cross-check emails found on team pages, press releases, or PDFs. Then store the ranked candidates and confidence scores in your system for follow-up and verification.
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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
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